Category Archives: Engineering and Scientific International Journal (ESIJ)

Clinical Significance of Tumor Grading and Staging Implications for Prognosis, Treatment Planning and Oncological Outcomes

Author
Dr. Anish Gupta, R. Jayapriya, Ketan Sharma
Keywords
Tumor Grading; Cancer Staging; TNM Classification; Oncological Prognosis; Histological Grading; Cancer Management.
Abstract
Tumor grading and staging are essential components of cancer diagnosis and management, providing critical information regarding tumor aggressiveness, extent of disease spread, and patient prognosis. This cross-sectional analytical study investigates the clinical relevance of tumor grading and staging systems using 258 oncology patient records. Tumor stage is among the most significant predictors of patient survival and treatment response. High-grade advanced-stage tumors demonstrated the worst clinical outcomes with 5-year survival of 32.6% and recurrence rate of 74.8%. ANOVA confirmed statistically significant differences in prognostic scores across TNM stages (F=8.42, p=0.001). The findings highlight the importance of standardized tumor classification systems and the integration of molecular biomarkers in modern cancer staging frameworks.
References
[1] Carriaga, M. T., & Henson, D. E. (1995). Liver, gallbladder, extrahepatic bile ducts, and pancreas. Cancer, 75(1 Suppl), 171–190.
[2] Carter, B. W., et al. (2018). Revisions to the TNM staging of lung cancer: rationale, significance, and clinical application. Radiographics, 38(2), 374–391.
[3] Gress, D. M., Edge, S. B., & Gershenwald, J. E. (2017). Principles of cancer staging. In AJCC Cancer Staging Manual (8th ed., pp. 3–30). Springer.
[4] Hortobagyi, G. N., et al. (2018). The AJCC Cancer Staging Manual 8th edition staging system for breast cancer: A critical appraisal. Journal of Clinical Oncology, 36(15), 1461–1463.
[5] Hueper, W. C. (1932). The histological classification of human tumors and its significance. The Anatomical Record, 52(4), 363–370.
[6] Paterson, A. H. G. (1988). Clinical staging systems: where have they come from and where are they going? Cancer Surveys, 7(3), 369–384.
[7] Tosoni, I., Wagner, U., Sauter, G., Egloff, M., & Mihatsch, M. J. (2000). Clinical significance of interobserver differences in the staging and grading of superficial bladder cancer. BJU International, 85(1), 48–53.
[8] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[9] Kavitha D and A. S. Aneeshkumar (2026). Advanced AI-Driven Techniques for Prostate Cancer Prediction, Telematique, 25(1), pp. 104-121.
[10] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[11] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[12] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[13] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[14] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[15] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[16] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[17] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[18] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[19] Aneeshkumar A. S (2016). Relevance of Data Mining for Presumption of Anarchy, International Journal of Linguistics and computational Applications (IJLCA), IRDP Group of Journals, 3(4), pp. 72-74
[20] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[21] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[22] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[23] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[24] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[25] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[26] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[27] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[28] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[29] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[30] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[31] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[32] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[33] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[34] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[35] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[36] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[37] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[38] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[39] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[40] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[41] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[42] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[43] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[44] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 07 March 2026
Accepted : 01 May 2026
Published : 03 May 2026
DOI: 10.30726/esij/v13.i2.2026.1320028

Prognostic Biomarkers in Disease Stratification Advancing Risk Prediction and Personalized Therapeutic Strategies in Clinical Medicine

Author
Dr. Sudhir Kumar, Pradeep Kumar, Dipesh Kumar
Keywords
Prognostic Biomarkers; Disease Stratification; Risk Prediction; Precision Medicine; Multi-Biomarker Analysis; Personalized Healthcare.
Abstract
Prognostic biomarkers have become essential tools in modern clinical medicine, enabling clinicians to predict disease progression, stratify patient risk, and optimize therapeutic decision-making. This cross-sectional analytical study investigates the role of prognostic biomarkers in disease stratification using 276 patient clinical profiles. Multi-biomarker composite strategies significantly improve prognostic accuracy compared with single biomarker approaches, with multi-marker composite models demonstrating the highest AUC (0.89), sensitivity (87.3%), and clinical intervention rate (84.2%, F=7.62, p=0.001). The findings highlight the growing importance of biomarker-driven risk stratification frameworks in precision medicine.
References
[1] Eggers, K. M., & Lindahl, B. (2017). Application of cardiac troponins in cardiovascular diseases other than acute coronary syndromes. Internal and Emergency Medicine, 12(4), 417–426.
[2] Labra, J., et al. (2016). Biological prognostic indicators in amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, 17(5–6), 330–337.
[3] Omland, T., & White, H. D. (2017). State of the art: Blood biomarkers for risk stratification in patients with stable ischemic heart disease. Clinical Chemistry, 63(1), 165–176.
[4] Parkes, M., Cortes, A., van Heel, D. A., & Brown, M. A. (2018). Genetic insights into common pathways and complex relationships among immune-mediated diseases. Nature Reviews Genetics, 14(9), 661–673.
[5] Singh, B., Jain, S., Gupta, P., & Saxena, A. (2024). Role of biomarkers in early diagnosis and risk stratification of heart failure. Journal of Cardiac Failure, 30(1), 1–12.
[6] Ullah, M. F., et al. (2023). Multi-biomarker strategies for improved risk stratification in cardiovascular disease. Journal of the American College of Cardiology, 81(8), 789–800.
[7] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[8] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[9] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[10] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[11] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[12] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[13] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[14] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[15] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[16] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[17] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[18] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[19] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[20] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[21] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[22] A.S Aneeshkumar, C. JothiVenkateswaran, (2015). Relevance Study of Data Mining for the Identification of Negatively Influenced Factors in Sick Groups, Procedia Computer Science, Elsevier, 47, pp. 101-108.
[23] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[24] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[25] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[26] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[27] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[28] Aneeshkumar A. S. (2016). Relevance of Data Mining for Presumption of Anarchy, International Journal of Linguistics and computational Applications (IJLCA), IRDP Group of Journals, 3(4), pp. 72-74
[29] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[30] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[31] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[32] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[33] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[34] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[35] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[36] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[37] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[38] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[39] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[40] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[41] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[42] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[43] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 05 March 2026
Accepted : 01 May 2026
Published : 03 May 2026
DOI: 10.30726/esij/v13.i2.2026.1320027

Laboratory Quality Assurance and Accreditation Standards Strengthening Diagnostic Reliability through Quality Management Systems and International Accreditation Frameworks

Author
Dr. Nidhi Aggarwal, Dr. Nasima Khatoon, Prashant Saraswat
Keywords
Laboratory Quality Assurance; Accreditation Standards; ISO 15189; Laboratory Quality Management Systems; Diagnostic Reliability; Healthcare Laboratory Standards.
Abstract
Laboratory quality assurance and accreditation standards play a fundamental role in ensuring the reliability, accuracy, and consistency of diagnostic services in modern healthcare systems. This cross-sectional analytical study examines the implementation of laboratory quality assurance practices and accreditation standards among 214 laboratory professionals working in hospital laboratories and diagnostic centers. Laboratories implementing structured quality management systems and participating in accreditation programs demonstrate higher levels of diagnostic accuracy (4.24 vs 3.61, p=0.001), improved operational efficiency, and stronger compliance with international standards. The study highlights the importance of integrating comprehensive quality assurance frameworks, continuous professional training, and regulatory oversight to strengthen laboratory services.
References
[1] Guzel, A. B., & Guner, G. (2009). ISO 15189 accreditation: Requirements for quality and competence of medical laboratories, experience of a laboratory. Clinical Biochemistry, 42(4–5), 274–278.
[2] Sadikoglu, E., & Temur, H. O. (2012). The relationship between ISO 17025 accreditation and process and product quality. International Journal of Production Research, 50(22), 6423–6436.
[3] Wadhwa, A., Bharat, R., Wadhwa, R., & Singh, G. (2012). Quality management in medical laboratories: From accreditation to practice. Journal of Laboratory Physicians, 4(2), 97–100.
[4] Westgard, J. O. (2003). Internal quality control: Planning and implementation strategies. Annals of Clinical Biochemistry, 40(6), 593–611.
[5] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[6] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[7] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[8] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[9] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[10] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[11] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[12] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[13] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[14] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[15] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[16] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[17] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[18] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[19] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[20] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[21] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[22] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[23] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[24] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[25] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[26] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[27] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[28] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[29] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[30] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[31] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[32] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[33] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[34] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[35] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[36] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[37] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[38] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[39] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 03 March 2026
Accepted : 01 May 2026
Published : 03 May 2026
DOI: 10.30726/esij/v13.i2.2026.1320026

Advances in Psychotherapeutic Interventions Evidence-Based Approaches, Emerging Technologies and Precision Psychotherapy

Author
Dr. Suvarn Sagar Bajpai, Mohini Dhabhai, Supriya Maitiy
Keywords
Psychotherapy; Cognitive Behavioural Therapy; Evidence-Based Mental Health Treatment; Precision Psychotherapy; Digital Mental Health; Therapeutic Outcomes.
Abstract
Psychotherapy plays a central role in the treatment of a wide range of mental health conditions including depression, anxiety disorders, personality disorders, and trauma-related conditions. Over the past several decades, significant advances have been made in developing and refining evidence-based psychotherapeutic approaches that improve clinical outcomes across diverse patient populations. This cross-sectional analytical study examines advances in psychotherapeutic interventions and evaluates the effectiveness of different therapeutic approaches in improving mental health outcomes among 188 individuals receiving psychotherapy. Combined psychotherapy approaches demonstrated the highest improvement in symptom outcomes (F=6.84, p=0.002). Telehealth-based psychotherapy and digital mental health platforms also showed promising potential in expanding access to mental health treatment. The study highlights the importance of integrating evidence-based clinical expertise, technological innovation, and patient-centred approaches in advancing psychotherapeutic practice.
References
[1] Arean, P. A. (2003). Advances in psychotherapy for mental illness in late life. The American Journal of Geriatric Psychiatry, 11(1), 4–6.
[2] Barrera, I., & Spiegel, D. (2014). Review of psychotherapeutic interventions on depression in cancer patients. International Review of Psychiatry, 26(1), 31–43.
[3] Breitbart, W. (2002). Spirituality and meaning in supportive care. Supportive Care in Cancer, 10(4), 272–280.
[4] Burbridge-James, W., & Iwanowicz, M. (2018). Psychotherapeutic interventions and contemporary developments. BJPsych Advances, 24(1), 54–65.
[5] Crits-Christoph, P., & Gibbons, M. B. C. (2021). Psychotherapy process-outcome research: advances. Bergin and Garfield’s Handbook of Psychotherapy and Behavior Change.
[6] Draguns, J. G. (2006). Psychotherapeutic and related interventions for a global psychology. In Toward a Global Psychology (pp. 253–286). Psychology Press.
[7] Emmelkamp, P. M., et al. (2014). Advancing psychotherapy and evidence-based psychological interventions. International Journal of Methods in Psychiatric Research, 23(S1), 58–91.
[8] Grassi, L., Nanni, M. G., & Caruso, R. (2018). Psychotherapeutic interventions. Psychosocial Issues in Palliative Care.
[9] Hofmann, S. G. (2022). Psychotherapeutic interventions and processes. Cognitive and Behavioral Practice, 29(3), 581–584.
[10] Kazdin, A. E., & Johnson, B. (1994). Advances in psychotherapy for children and adolescents. Journal of School Psychology, 32(3), 217–246.
[11] Lambert, M. J. (2013). Outcome in psychotherapy: the past and important advances.
[12] McMain, S., & Pos, A. E. (2007). Advances in psychotherapy of personality disorders. Current Psychiatry Reports, 9(1), 46–52.
[13] Plakun, E. M. (2015). Psychotherapy and psychosocial treatment: recent advances and future directions. Psychiatric Clinics, 38(3), 405–418.
[14] Raue, P. J., et al. (2017). Advances in psychotherapy for depressed older adults. Current Psychiatry Reports, 19(9), 57.
[15] Ravitz, P., & Silver, I. (2004). Advances in psychotherapy education. The Canadian Journal of Psychiatry, 49(4), 230–237.
[16] Schnyder, U. (2009). Future perspectives in psychotherapy. European Archives of Psychiatry and Clinical Neuroscience, 259(Suppl 2), 123–128.
[17] Sethi, R., Rodin, G., & Hales, S. (2020). Psychotherapeutic approach for advanced illness: managing cancer and living meaningfully (CALM) therapy. American Journal of Psychotherapy, 73(4), 119–124.
[18] Yasinski, C., & Rauch, S. A. (2018). A review of recent efforts to improve access to effective psychotherapies. Focus, 16(4), 356–362.
[19] Zale, A., et al. (2021). Technology and psychotherapeutic interventions: Bibliometric analysis of the past four decades. Internet Interventions, 25, 100425.
[20] Zipfel, S., et al. (2024). The future of enhanced psychotherapy: towards precision psychotherapy. Psychotherapy and Psychosomatics, 93(4), 230–236.
[21] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[22] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[23] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[24] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[25] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[26] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[27] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[28] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[29] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[30] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[31] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[32] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[33] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[34] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[35] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[36] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[37] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[38] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[39] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[40] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[41] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[42] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[43] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[44] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[45] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[46] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[47] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[48] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[49] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[50] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[51] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[52] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[53] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[54] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[55] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 28 February 2026
Accepted : 01 May 2026
Published : 03 May 2026
DOI: 10.30726/esij/v13.i2.2026.1320025

Clinical Assessment Models for Depression and Anxiety Disorders Integrating Psychometric, Cognitive and Digital Diagnostic Frameworks

Author
Dr. Jitendra Singh, Vaibhav, Dr. Nitin Kumar
Keywords
Depression Assessment; Anxiety Disorders; Psychometric Models; Tripartite Model; Digital Mental Health Diagnostics; Computational Psychiatry.
Abstract

Depression and anxiety disorders represent two of the most prevalent mental health conditions worldwide and contribute significantly to the global burden of disease. Accurate clinical assessment plays a crucial role in identifying these disorders, guiding treatment planning, and monitoring therapeutic outcomes. This cross-sectional analytical study examines clinical assessment models used in the diagnosis and evaluation of depression and anxiety disorders and explores the integration of traditional psychometric methods with emerging computational and AI-based approaches among 226 individuals. Integrated assessment models combining psychometric screening tools, cognitive frameworks, and digital mental health analytics provide more comprehensive diagnostic insights compared with single-method approaches. Network-based models demonstrated the highest predictive accuracy in identifying symptom severity (F=6.14, p=0.002). Continued research into digital mental health diagnostics and computational psychiatry may further enhance the accuracy and accessibility of mental health assessments.

References
[1] Barlow, D. H., & Campbell, L. A. (2000). Mixed anxiety-depression and its implications for models of mood and anxiety disorders. Comprehensive Psychiatry, 41(2), 55–60.
[2] Beck, R., Benedict, B., & Winkler, A. (2003). Depression and anxiety: integrating the tripartite and cognitive content-specificity assessment models. Journal of Psychopathology and Behavioral Assessment, 25(4), 251–256.
[3] Belzung, C., & Lemoine, M. (2011). Criteria of validity for animal models of psychiatric disorders. Biology of Mood & Anxiety Disorders, 1(1), 9.
[4] Belzer, K., & Schneier, F. R. (2004). Comorbidity of anxiety and depressive disorders. Journal of Psychiatric Practice, 10(5), 296–306.
[5] Burns, D. D., & Eidelson, R. J. (1998). Why are depression and anxiety correlated? A test of the tripartite model. Journal of Consulting and Clinical Psychology, 66(3), 461.
[6] Cai, H., et al. (2024). A network model of depressive and anxiety symptoms. Molecular Psychiatry, 29(3), 767–781.
[7] Castanheira, L., et al. (2018). Anxiety assessment in pre-clinical tests and in clinical trials. Current Topics in Medicinal Chemistry, 18(19), 1656–1676.
[8] Chow, P. I., et al. (2017). Using mobile sensing to test clinical models of depression, social anxiety, state affect, and social isolation among college students. Journal of Medical Internet Research, 19(3), e62.
[9] Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression. Journal of Abnormal Psychology, 100(3), 316.
[10] Ferreira, M. F., et al. (2018). Depression assessment in clinical trials and pre-clinical tests. Current Topics in Medicinal Chemistry, 18(19), 1677–1703.
[11] Fuchs, E., & Flugge, G. (2006). Experimental animal models for the simulation of depression and anxiety. Dialogues in Clinical Neuroscience, 8(3), 323–333.
[12] Lam, R. W., Michalaak, E. E., & Swinson, R. P. (2006). Assessment scales in depression and anxiety. CRC Press.
[13] Naragon-Gainey, K., et al. (2016). A comparison and integration of structural models of depression and anxiety in a clinical sample. Journal of Abnormal Psychology, 125(7), 853.
[14] Nemesure, M. D., et al. (2021). Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach. Scientific Reports, 11(1), 1980.
[15] Nordin, K., et al. (2001). Predicting anxiety and depression among cancer patients: a clinical model. European Journal of Cancer, 37(3), 376–384.
[16] Obbarius, A., et al. (2017). Standardization of health outcomes assessment for depression and anxiety. Quality of Life Research, 26(12), 3211–3225.
[17] Rekha R, A S Aneeshkumar, (2026). Machine Learning Approaches for social media Based Depression Detection: A Review, Telematique, 25(1), pp. 373-383.
[18] Orner, R. J., et al. (2004). Anxiety and depression: a model for assessment and therapy in primary care. Primary Care Mental Health, 2(1), 55–65.
[19] Rose, M., & Devine, J. (2014). Assessment of patient-reported symptoms of anxiety. Dialogues in Clinical Neuroscience, 16(2), 197–211.
[20] Shankman, S. A., & Klein, D. N. (2003). The relation between depression and anxiety. Clinical Psychology Review, 23(4), 605–637.
[21] Zhiguo, W. U., & Yiru, F. A. N. G. (2014). Comorbidity of depressive and anxiety disorders: challenges in diagnosis and assessment. Shanghai Archives of Psychiatry, 26(4), 227.
[22] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[23] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[24] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[25] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[26] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[27] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[28] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[29] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[30] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[31] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[32] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[33] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[34] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[35] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[36] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[37] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[38] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[39] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[40] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[41] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[42] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[43] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[44] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[45] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[46] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[47] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[48] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[49] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[50] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[51] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[52] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[53] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[54] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[55] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[56] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 28 February 2026
Accepted : 30 April 2026
Published : 03 May 2026
DOI: 10.30726/esij/v13.i2.2026.1320024

Clinical Management of Upper Airway Allergic Disorders Pathophysiology, Diagnostic Approaches and Integrated Therapeutic Strategies

Author
Dr. Paridhi Ahuja, Pradeep Kumar, Vishal Kumar
Keywords
Allergic Rhinitis; Upper Airway Allergy; United Airway Disease; Allergen Immunotherapy; Respiratory Allergy; Airway Inflammation.
Abstract
Upper airway allergic disorders, including allergic rhinitis, allergic sinusitis, and related inflammatory conditions, represent a major global health concern affecting both paediatric and adult populations. These disorders are characterised by immune-mediated inflammatory responses within the nasal mucosa and upper respiratory tract following exposure to environmental allergens. Upper airway allergic diseases frequently coexist with lower airway disorders such as asthma, supporting the concept of the “united airway disease” model. This cross-sectional analytical study evaluates the clinical management strategies used in the diagnosis and treatment of upper airway allergic disorders among 214 patients. Integrated treatment strategies combining pharmacotherapy, allergen immunotherapy, and environmental control measures provide the most effective management outcomes. Patients receiving combined therapy demonstrated the highest symptom improvement scores (F=6.15, p=0.002). Allergic rhinitis was the most common disorder (52.3%). The study highlights the importance of multidisciplinary collaboration among allergists, otolaryngologists, and respiratory specialists in managing complex airway diseases.
References
[1] Bourdin, A., et al. (2009). Upper airway: Allergic rhinitis and asthma: united disease through epithelial cells. Thorax, 64(11), 999–1004.
[2] Bousquet, J., et al. (2009). Unmet needs in severe chronic upper airway disease (SCUAD). Journal of Allergy and Clinical Immunology, 124(3), 428–433.
[3] Christodoulopoulos, P., et al. (2000). Molecular pathology of allergic disease: II: upper airway disease. Journal of Allergy and Clinical Immunology, 105(2), 211–223.
[4] Compalati, E., et al. (2010). The link between allergic rhinitis and asthma: the united airways disease. Expert Review of Clinical Immunology, 6(3), 413–423.
[5] Gevaert, P., et al. (2022). The role of IgE in upper and lower airway disease. Clinical Rev. in Allergy & Immunology, 62(1), 200–215.
[6] Giavina-Bianchi, P., et al. (2016). United airway disease: current perspectives. Journal of Asthma and Allergy, 93–100.
[7] Licari, A., et al. (2017). The role of upper airway pathology as a co-morbidity in severe asthma. Expert Review of Respiratory Medicine, 11(11), 855–865.
[8] Nelson, H. S. (2004). Advances in upper airway diseases and allergen immunotherapy. Journal of Allergy and Clinical Immunology, 113(4), 635–642.
[9] Nelson, H. S. (2005). Advances in upper airway diseases and allergen immunotherapy. Journal of Allergy and Clinical Immunology, 115(4), 676–684.
[10] Nelson, H. S. (2006). Advances in upper airway diseases and allergen immunotherapy. Journal of Allergy and Clinical Immunology, 117(5), 1047–1053.
[11] Nelson, H. S. (2007). Advances in upper airway diseases and allergen immunotherapy. Journal of Allergy and Clinical Immunology, 119(4), 872–880.
[12] Pratter, M. R. (2006). Chronic upper airway cough syndrome secondary to rhinosinus diseases. Chest, 129(1), 63S–71S.
[13] Varricchio, A., et al. (2020). Inflammation, infection, and allergy of upper airways. Italian Journal of Pediatrics, 46(1), 18.
[14] Vlastos, I., et al. (2021). Multidisciplinary care for severe or uncontrolled chronic upper airway diseases. Current Allergy and Asthma Reports, 21(4), 27.
[15] Yii, A. C. A., et al. (2018). Precision medicine in united airways disease: a “treatable traits” approach. Allergy, 73(10), 1964–1978.
[16] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[17] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[18] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[19] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[20] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[21] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[22] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[23] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[24] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[25] A.S. Aneeshkumar, Dr.C. JothiVenkateswaran (2013). An Integrated Approach for Predicting the Contribution of Sovereign Dynamics, Engineering Sciences Int. Research J., 1(1), pp. 24-27
[26] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[27] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[28] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[29] Dr A S Aneeshkumar (2018). Substantiation Study for Disease Prediction, Journal of Emerging Technologies and Innovative Research (JETIR), 5(7) pp. 249-254.
[30] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[31] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International J. of Public Health, 13(2).
[32] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[33] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[34] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[35] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[36] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[37] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[38] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[39] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[40] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[41] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[42] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI G. Scientific Publishing.
[43] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[44] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[45] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[46] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[47] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[48] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[49] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[50] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[51] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[52] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 26 February 2026
Accepted : 29 April 2026
Published : 02 May 2026
DOI: 10.30726/esij/v13.i2.2026.1320022

Epidemiological Trends in Common Mental Health Disorders Global Prevalence, Risk Determinants and Emerging Public Health Implications

Author
Dr. Prakash Chandra, Neha Kakran, Mohd. Khursheed
Keywords
Mental Health Epidemiology; Depression; Anxiety Disorders; Public Mental Health; Psychological Distress; Mental Health Trends.
Abstract
Common mental health disorders, including depression, anxiety disorders, and stress-related conditions, represent a significant and growing public health concern worldwide. These disorders contribute substantially to global disease burden, affecting psychological wellbeing, productivity, and social functioning across diverse populations. This cross-sectional analytical study examines epidemiological trends in common mental health disorders and evaluates the influence of demographic, social, and environmental factors on mental health outcomes among 238 individuals receiving mental health care services. Depressive and anxiety disorders remain the most prevalent mental health conditions, with significant associations observed between mental health outcomes and socioeconomic status, occupational stress, and social support systems. Individuals aged 31–45 years demonstrated the highest average mental health symptom severity scores (F=5.91, p=0.003). The study highlights emerging mental health challenges associated with rapid social change, digital technology exposure, and public health crises. Continued epidemiological research is essential for improving mental health policy and promoting population-level mental wellbeing.
References
[1] Angst, J., et al. (2016). The epidemiology of common mental disorders from age 20 to 50: results from the prospective Zurich cohort Study. Epidemiology and Psychiatric Sciences, 25(1), 24–32.
[2] Baxter, A. J., et al. (2014). Challenging the myth of an “epidemic” of common mental disorders. Depression and Anxiety, 31(6), 506–516.
[3] Collishaw, S. (2015). Annual research review: secular trends in child and adolescent mental health. Journal of Child Psychology and Psychiatry, 56(3), 370–393.
[4] De Graaf, R., et al. (2012). Prevalence of mental disorders and trends from 1996 to 2009. Social Psychiatry and Psychiatric Epidemiology, 47(2), 203–213.
[5] Fava, G. A., et al. (2014). Emerging clinical trends and perspectives on comorbid patterns of mental disorders. International Journal of Methods in Psychiatric Research, 23(S1), 92–101.
[6] Gruenberg, E. M. (1957). Epidemiology of mental disorders. The Milbank Memorial Fund Quarterly, 35(2), 107–126.
[7] Jayasankar, P., et al. (2022). Epidemiology of common mental disorders: results from “National Mental Health Survey” of India, 2016. Indian Journal of Psychiatry, 64(1), 13–19.
[8] Kathol, R., et al. (2006). Epidemiologic trends and costs of fragmentation. Medical Clinics, 90(4), 549–572.
[9] Kessler, R. C. (2012). Overview of descriptive epidemiology of mental disorders. In Handbook of the sociology of mental health (pp. 169–182). Springer Netherlands.
[10] Kessler, R. C., & Wang, P. S. (2008). The descriptive epidemiology of commonly occurring mental disorders in the United States. Annual Review of Public Health, 29(1), 115–129.
[11] Kessler, R. C., et al. (2010). The epidemiology of mental disorders. Mental health services: A public health perspective, 169–200.
[12] Kohn, R. (2018). Epidemiology of common mental disorders. In The Exercise Effect on Mental Health (pp. 3–29). CRC Press.
[13] Merikangas, K. R., Nakamura, E. F., & Kessler, R. C. (2009). Epidemiology of mental disorders in children and adolescents. Dialogues in Clinical Neuroscience, 11(1), 7–20.
[14] Aneeshkumar A. S. (2016). Relevance of Data Mining for Presumption of Anarchy, International Journal of Linguistics and computational Applications (IJLCA), 3(4), pp. 72-74.
[15] Sanderson, K., & Andrews, G. (2006). Common mental disorders in the workforce. The Canadian Journal of Psychiatry, 51(2), 63–75.
[16] Steel, Z., et al. (2014). The global prevalence of common mental disorders. International Journal of Epidemiology, 43(2), 476–493.
[17] Storrie, K., Ahern, K., & Tuckett, A. (2010). A systematic review: students with mental health problems — a growing problem. International Journal of Nursing Practice, 16(1), 1–6.
[18] A. S Aneeshkumar, C. Jothi Venkateswaran, (2015). Relevance Study of Data Mining for the Identification of Negatively Influenced Factors in Sick Groups, Procedia Computer Science, Elsevier, 47, pp. 101-108.
[19] Ten Have, M., et al. (2023). Prevalence and trends of common mental disorders from 2007–2009 to 2019–2022. World Psychiatry, 22(2), 275–285.
[20] Weissman, M. M., & Klerman, G. L. (1978). Epidemiology of mental disorders: Emerging trends in the United States. Archives of General Psychiatry, 35(6), 705–712.
[21] Westermeyer, J. (1989). Psychiatric epidemiology across cultures: Current issues and trends. Transcultural Psychiatric Research Review, 26(1), 5–25.
[22] Wu, Y., et al. (2023). Changing trends in the global burden of mental disorders from 1990 to 2019. Epidemiology and Psychiatric Sciences, 32, e63.
[23] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[24] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[25] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[26] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[27] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[28] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[29] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[30] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[31] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[32] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[33] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[34] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[35] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[36] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[37] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[38] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[39] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[40] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[41] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[42] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[43] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[44] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[45] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[46] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[47] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[48] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[49] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[50] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[51] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[52] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[53] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[54] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[55] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[56] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[57] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 26 February 2026
Accepted : 30 April 2026
Published : 02 May 2026
DOI: 10.30726/esij/v13.i2.2026.1320023

Assessing the Impact of Climate Change on Biodiversity in Rural Areas of Senanga District, Zambia: AI-Powered Ecological Monitoring, Conservation Technology and Community-based Adaptation

Author
Nyambe Liabwa Kennedy, Dr.Sumathi K. Sripathi
Keywords
Climate Change, Biodiversity; Senanga District; Zambia; AI Ecological Monitoring; Conservation Technology; Community Adaptation; Ecosystem Services.
Abstract
Climate change is driving unprecedented biodiversity loss across sub-Saharan Africa, with cascading consequences for ecosystem services, agricultural productivity, food security, and community livelihoods. In rural areas of Senanga District, Western Province, Zambia, climate-driven changes in temperature, precipitation, and flood-drought cycles are progressively transforming ecological systems affecting fish populations in the Zambezi floodplain, woodland biodiversity in miombo and mulapo habitats, and the wild plant and animal resources upon which many community livelihoods depend. This article assesses the impact of climate change on biodiversity in rural Senanga District, situating findings within global scholarship on AI-powered ecological monitoring, remote sensing conservation technology, community-based natural resource management, and climate adaptation. Drawing on a mixed-methods survey combining community ecological knowledge documentation with remote sensing analysis and key informant interviews, findings confirm significant biodiversity losses across fish, woodland, and grassland ecosystems attributable to climate variability and associated land use change. AI-powered biodiversity monitoring systems, satellite-based habitat mapping, and community digital environmental stewardship platforms are identified as evidence-based conservation pathways. Policy recommendations are presented.
References
[1] Akila, V., Prabhu, G., Akila, R., & Swadhi, R. (2025). Performance metrics in blockchain-enabled AIML for cognitive IoT in large-scale networks. In AI for large scale communication networks (pp. 265–288). IGI Global Scientific Publishing.
[2] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning. In AI and learning analytics in distance learning (pp. 179–206). IGI Global Scientific Publishing.
[3] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[4] Ashifa, K. M. (2020a). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[5] Ashifa, K. M. (2020b). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[6] Ashifa, K. M. (2021a). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[7] Ashifa, K. M. (2021b). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[8] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[9] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[10] A S Aneeshkumar, C. JothiVenkateswaran, (2015). Relevance Study of Data Mining for the Identification of Negatively Influenced Factors in Sick Groups, Procedia Computer Science, Elsevier, 47, pp. 101-108.
[11] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[12] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision medicine, personalized treatment, and network-driven innovations. In AI for large scale communication networks (pp. 303–322). IGI Global.
[13] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students. Frontiers in Psychiatry, 16, 1541316.
[14] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025a). Striking a balance: Mental health challenges and work-life integration among women faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[15] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025b). Strategic role of human resource management in enhancing occupational health and safety practices. Texila International Journal of Public Health, 13(2).
[16] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green marketing in healthcare advertising: A global perspective. In AI impacts on branded entertainment and advertising (pp. 303–326). IGI Global.
[17] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Öztaş, N., & Ayan, F. S. (2026a). Evolving social capital in indigenous communities. Journal of Social Service Research, 52(1), 147–166.
[18] Kariveliparambil, A., R A, R., Ahmad, M. S., Ramesh, S., & Kuriakose, A. (2026b). Invisible burdens of platform work. International Journal of Qualitative Studies on Health and Well-Being, 21(1).
[19] Kombo, D. K., & Tromp, D. L. A. (2014). Proposal and thesis writing: An introduction. Paulines Publications Africa.
[20] Meena, G., Vettriselvan, R., Rajesh, D., & Velmurugan, P. R. (2025). Diversity and inclusion: Harnessing the power of inclusivity for business success. In Security and strategy models for key-solving institutional frameworks (pp. 203–234). IGI Global Scientific Publishing.
[21] Mohanbabu, S., & Vettriselvan, R. (2025a). Focusing supply chain and container terminal challenges. International Journal of Procurement Management, 24(1), 92–114.
[22] Mohanbabu, S., & Vettriselvan, R. (2025b). Will machine learning resolve the issues in container management. International Journal of Process Management and Benchmarking, 20(4), 559–575.
[23] Orodho, J. A., & Kombo, D. K. (2012). Research methods. Kenyatta University Press.
[24] Rajeswari, M., Rohini, V., Sathya Aarthi, R., Rameshkumaar, V. P., & Arul Krishnan, S. (2026). Blockchain 2.0 for secure, transparent, and autonomous logistics systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent motion control for human-centered systems (pp. 233–258). IGI Global Scientific Publishing.
[25] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[26] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing. Indian Journal of Public Health Research & Development, 10(12).
[27] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging artificial intelligence for enhancing urban health. In Nexus of AI, climatology, and urbanism for smart cities (pp. 275–306). IGI Global.
[28] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025a). Leveraging machine learning for enhanced patient engagement and outcomes. In Impact of digital transformation on business growth and performance (pp. 313–340). IGI Global Scientific Publishing.
[29] Swadhi, R., Velmurugan, P. R., Gayathri, K., & Catherine, S. (2025b). Evolving critical themes in advanced human resource management. In Critical aspects in advanced human resource management (pp. 75–102). IGI Global Scientific Publishing.
[30] Vasantha, S., Swadhi, R., Gayathri, K., Selvalakshmi, V., & UmaDevi, A. (2025). Fostering personalized learning and achieving equity in education. In Transforming education with AI-powered personalized learning (pp. 201–236). IGI Global Scientific Publishing.
[31] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025a). Recommendation systems and content personalization. In AI for large scale communication networks (pp. 323–348). IGI Global Scientific Publishing.
[32] A.S. Aneeshkumar, Dr.C. JothiVenkateswaran, (2013). An Integrated Approach for Predicting the Contribution of Sovereign Dynamics, Engineering Sciences International Research Journal, 1(1), pp. 24-27.
[33] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025b). Performance evaluation and metrics in blockchain powered AI/ML. In Transforming education with AI-powered personalized learning (pp. 143–178). IGI Global Scientific Publishing.
[34] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025c). Enabling personalized learning and adaptive systems through strategic management. In Bridging academia and industry through cloud integration in education (pp. 49–72). IGI Global Scientific Publishing.
[35] Venice, J. A., Vettriselvan, R., Rajesh, D., Xavier, P., & Shanthi, H. J. (2025d). Optimizing performance metrics in blockchain-enabled AI/ML data analytics. In Enhancing automated decision-making through AI (pp. 97–122). IGI Global.
[36] Venice, J. A., Sripathi, S. K., & Moonga, B. (2025e). Social deviance and the influence of internet exposure. ASET Journal of Management Science, 4(SI-1).
[37] Venice, J. A. A., Jio, W., Kant, S., Sharda, S., & Mittal, S. (2025f). Ethical leadership effect on the regulation of AI in cyber security. In Ethical challenges of AI and warfare (pp. 133–152). IGI Global Scientific Publishing.
[38] Venice, J. A. A., Muthuraman, M., Kant, S., & Mittal, S. (2026). Community engagement effect on school leadership through digital volunteerism. In Strengthening community engagement and school leadership through digital volunteerism (pp. 85–114). IGI Global Scientific Publishing.
[39] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0. In The future of small business in industry 5.0 (pp. 163–186). IGI Global.
[40] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259–264.
[41] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational health issues faced by women in spinners. Indian Journal of Public Health Research & Development, 10(1).
[42] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025a). Health consequences of early marriage. In Social, political, and health implications of early marriage (pp. 189–212). IGI Global.
[43] Vettriselvan, R., Velmurugan, P. R., Varshney, K. R., EP, J., & Deepika, R. (2025b). Health impacts of smartphone and internet addictions across age groups. In Impacts of digital technologies across generations (pp. 187–210). IGI Global.
[44] Vettriselvan, R., Velmurugan, P. R., Suresh, N. V., & Catherine, S. (2025c). Strategies, best practices, and pitfalls in the era of digital transformation. In Impact of digital transformation on business growth and performance (pp. 67–98). IGI Global Scientific Publishing.
[45] Vettriselvan, R., Selvi, K., Kumar, A. S., Ranjani, R. D., & Varshney, K. R. (2025d). Ranking methodologies: Criteria and controversies in global higher education. In Global university ranking systems (pp. 109–140). IGI Global Scientific Publishing.
[46] Vettriselvan, R., Gokuldas, P. G., & Sambamoorthy, N. (2025e). Designing language materials to motivate, engage, and empower learners. In Exploring the psychology of language materials development (pp. 279–302). IGI Global Scientific Publishing.
[47] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026a). Empowering patients through knowledge: Educational strategies in rehabilitation. In Holistic approaches to health recovery (pp. 263–290). IGI Global Scientific Publishing.
[48] Vettriselvan, R., Velmurugan, P. R., Savariapitchai, M., & Swadhi, R. (2026b). AI and international volunteering. In Impacts of AI on international volunteering (pp. 1–24). IGI Global Scientific Publishing.
[49] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025a). Sustainability and responsibility in the digital era. In Digital citizenship and building a responsible online presence (pp. 285–306). IGI Global.
[50] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025b). Strategic collaborations in medical innovation and AI-driven globalization. In Navigating strategic partnerships for sustainable startup growth (pp. 85–110). IGI Global.
[51] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026a). Navigating ethics, society, and governance in the digital age. In Ethics, justice, and governance in the age of AI and digital societies (pp. 1–26). IGI Global Scientific Publishing.
[52] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026b). Transforming the future of management and medical education. In AI education strategies for future-proofing curriculum design (pp. 459–476). IGI Global Scientific Publishing.
[53] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 24 February 2026
Accepted : 27 April 2026
Published : 01 May 2026
DOI: 10.30726/esij/v13.i2.2026.1320019

Outcome-Based Evaluation of Functional Endoscopic Sinus Surgery Clinical Effectiveness, Prognostic Factors and Postoperative Quality of Life

Author
Dr. Aishwarya Tiwari, Dr. Nasima Khatoon, Mr. Prashant Saraswat
Keywords
Endoscopic Sinus Surgery; Functional Endoscopic Sinus Surgery; Chronic Rhinosinusitis; Sinonasal Surgery; Postoperative Outcomes; Rhinology.
Abstract
Functional endoscopic sinus surgery (FESS) has become the preferred surgical approach for the treatment of chronic rhinosinusitis and other sinonasal disorders that are unresponsive to medical therapy. The minimally invasive nature of endoscopic sinus surgery allows precise visualisation and removal of diseased sinus tissues while preserving surrounding anatomical structures. Advances in surgical instrumentation, imaging guidance systems, and postoperative care strategies have significantly improved the safety and effectiveness of this procedure. This cross-sectional analytical study examines clinical outcomes associated with endoscopic sinus surgery among 178 patients. Image-guided FESS demonstrated the highest postoperative symptom improvement scores (F=6.08, p=0.002). Endoscopic sinus surgery significantly improves sinonasal symptoms and patient quality of life. Postoperative care strategies such as nasal irrigation and regular endoscopic follow-up were also associated with improved long-term outcomes.
References
[1] Chambers, D. W., et al. (1997). Long-term outcome analysis of functional endoscopic sinus surgery. The Laryngoscope, 107(4), 504–510.
[2] Aneeshkumar A.S. (2016). Relevance of Data Mining for Presumption of Anarchy, International Journal of Linguistics and computational Applications (IJLCA), 3(4), pp. 72-74.
[3] Dewey, J., et al. (2025). Efficacy of endoscopic sinus surgery for chronic rhinosinusitis: a systematic review of systematic reviews. European Archives of Oto-Rhino-Laryngology, 1–15.
[4] Eloy, P., Andrews, P., & Poirrier, A. L. (2017). Postoperative care in endoscopic sinus surgery: a critical review. Current Opinion in Otolaryngology & Head and Neck Surgery, 25(1), 35–42.
[5] Hebert, R. L., & Bent, J. P. (1998). Meta-analysis of outcomes of pediatric functional endoscopic sinus surgery. The Laryngoscope, 108(6), 796–799.
[6] Jiang, R. S., et al. (2014). Electrolyzed acid water nasal irrigation after functional endoscopic sinus surgery. American Journal of Rhinology & Allergy, 28(2), 176–181.
[7] Kaur, S. (2018). Evaluating and Comparing Clinical Outcomes of Image-Guided Sinus Surgery (Doctoral dissertation, Grand Canyon University).
[8] Lee, J. Y., & Lee, S. W. (2007). Influence of age on the surgical outcome after endoscopic sinus surgery for chronic rhinosinusitis. The Laryngoscope, 117(6), 1084–1089.
[9] Navaratnam, A. V., et al. (2023). Safety of day-case endoscopic sinus surgery in England. Clinical Otolaryngology, 48(2), 191–199.
[10] Rudmik, L., et al. (2014). Long-term utility outcomes in patients undergoing endoscopic sinus surgery. The Laryngoscope, 124(1), 19–23.
[11] Shafique, M. A., et al. (2024). Standard Instruments Versus Microdebrider in Endoscopic Sinus Surgery. Annals of King Edward Medical University, 30(4), 362–368.
[12] Sobol, S. E., Wright, E. D., & Frenkiel, S. (1998). One-year outcome analysis of functional endoscopic sinus surgery for chronic sinusitis. Journal of Otolaryngology-Head & Neck Surgery, 27(5), 252.
[13] Tajudeen, B. A., et al. (2017). Quality-of-life improvement after endoscopic sinus surgery in patients with obstructive sleep apnea. Allergy & Rhinology, 8(1).
[14] Walner, D. L., et al. (2002). Clinical outcome of pediatric endoscopic sinus surgery. American Journal of Rhinology, 16(3), 151–154.
[15] Watelet, J. B., et al. (2004). Objective outcome after functional endoscopic sinus surgery: prediction factors. The Laryngoscope, 114(6), 1092–1097.
[16] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[17] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[18] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[19] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[20] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[21] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[22] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[23] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[24] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[25] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[26] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[27] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[28] A S Aneeshkumar, (2018). Substantiation Study for Disease Prediction, Journal of Emerging Technologies and Innovative Research (JETIR), 5(7), pp. 249-254.
[29] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[30] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[31] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[32] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[33] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[34] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[35] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[36] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[37] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[38] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[39] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[40] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[41] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[42] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[43] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[44] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[45] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[46] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[47] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[48] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[49] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[50] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[51] 49. Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 26 February 2026
Accepted : 28 April 2026
Published : 01 May 2026
DOI: 10.30726/esij/v13.i2.2026.1320021

Cloud Security in Educational Institutions: Threats, Countermeasures, Compliance and the Role of AI in Safeguarding Digital Learning Infrastructure in Zambia

Author
Samani Fred Ikasaya, Dr. J. Arockia Venice
Keywords
Cloud Security; Cybersecurity; Educational Institutions; Zambia; AI Threat Detection; Blockchain; Data Protection; Compliance.
Abstract
The rapid adoption of cloud computing in educational institutions has transformed the possibilities for scalable, cost-effective digital learning infrastructure enabling access to AI-powered learning platforms, collaborative digital tools, and large-scale data analytics that would be impossible in conventional on-premises computing environments. However, cloud adoption also introduces significant cybersecurity risks including data breaches, ransomware attacks, unauthorised access, and compliance failures that educational institutions are frequently ill-equipped to address with limited cybersecurity expertise and constrained IT security budgets. This article examines cloud security threats, countermeasures, and compliance frameworks relevant to educational institutions in Zambia, situating findings within global scholarship on cloud security architecture, AI-powered threat detection, blockchain-based data integrity assurance, and regulatory compliance in digital educational environments. Drawing on a descriptive survey of institutional IT practitioners, educators, and cybersecurity experts, findings identify inadequate access control, insufficient staff digital security training, absence of data encryption protocols, and limited regulatory compliance awareness as primary security vulnerabilities. AI-driven threat detection systems, zero-trust security architecture, and blockchain-enabled audit trails are identified as evidence-based countermeasures. Policy recommendations are presented.
References
[1] Akila, V., Prabhu, G., Akila, R., & Swadhi, R. (2025). Performance metrics in blockchain-enabled AIML for cognitive IoT in large-scale networks. In AI for large scale communication networks (pp. 265–288). IGI Global Scientific Publishing.
[2] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning. In AI and learning analytics in distance learning (pp. 179–206). IGI Global Scientific Publishing.
[3] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[4] Ashifa, K. M. (2020a). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[5] Ashifa, K. M. (2020b). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[6] Ashifa, K. M. (2021a). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[7] Ashifa, K. M. (2021b). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[8] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[9] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[10] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[11] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision medicine, personalized treatment, and network-driven innovations. In AI for large scale communication networks (pp. 303–322). IGI Global.
[12] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students. Frontiers in Psychiatry, 16, 1541316.
[13] K. G. Gurupriya, Dr. A. S. Aneeshkumar, (2024). A Survey on Ciphertext Policy Attribute-Based Encryption Scheme based Cloud E- Healthcare Secure Framework, International Journal of Intelligent Systems and Applications in Engineering, 12(22), pp. 953–959.
[14] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025a). Striking a balance: Mental health challenges and work-life integration among women faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[15] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025b). Strategic role of human resource management in enhancing occupational health and safety practices. Texila International Journal of Public Health, 13(2).
[16] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green marketing in healthcare advertising: A global perspective. In AI impacts on branded entertainment and advertising (pp. 303–326). IGI Global.
[17] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Öztaş, N., & Ayan, F. S. (2026a). Evolving social capital in indigenous communities. Journal of Social Service Research, 52(1), 147–166.
[18] Kariveliparambil, A., R A, R., Ahmad, M. S., Ramesh, S., & Kuriakose, A. (2026b). Invisible burdens of platform work. International Journal of Qualitative Studies on Health and Well-Being, 21(1).
[19] Kombo, D. K., & Tromp, D. L. A. (2014). Proposal and thesis writing: An introduction. Paulines Publications Africa.
[20] Meena, G., Vettriselvan, R., Rajesh, D., & Velmurugan, P. R. (2025). Diversity and inclusion: Harnessing the power of inclusivity for business success. In Security and strategy models for key-solving institutional frameworks (pp. 203–234). IGI Global Scientific Publishing.
[21] Mohanbabu, S., & Vettriselvan, R. (2025a). Focusing supply chain and container terminal challenges. International Journal of Procurement Management, 24(1), 92–114.
[22] Mohanbabu, S., & Vettriselvan, R. (2025b). Will machine learning resolve the issues in container management. International Journal of Process Management and Benchmarking, 20(4), 559–575.
[23] Orodho, J. A., & Kombo, D. K. (2012). Research methods. Kenyatta University Press.
[24] Rajeswari, M., Rohini, V., Sathya Aarthi, R., Rameshkumaar, V. P., & Arul Krishnan, S. (2026). Blockchain 2.0 for secure, transparent, and autonomous logistics systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent motion control for human-centered systems (pp. 233–258). IGI Global Scientific Publishing.
[25] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[26] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing. Indian Journal of Public Health Research & Development, 10(12).
[27] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging artificial intelligence for enhancing urban health. In Nexus of AI, climatology, and urbanism for smart cities (pp. 275–306). IGI Global.
[28] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025a). Leveraging machine learning for enhanced patient engagement and outcomes. In Impact of digital transformation on business growth and performance (pp. 313–340). IGI Global Scientific Publishing.
[29] Swadhi, R., Velmurugan, P. R., Gayathri, K., & Catherine, S. (2025b). Evolving critical themes in advanced human resource management. In Critical aspects in advanced human resource management (pp. 75–102). IGI Global Scientific Publishing.
[30] Vasantha, S., Swadhi, R., Gayathri, K., Selvalakshmi, V., & UmaDevi, A. (2025). Fostering personalized learning and achieving equity in education. In Transforming education with AI-powered personalized learning (pp. 201–236). IGI Global Scientific Publishing.
[31] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025a). Recommendation systems and content personalization. In AI for large scale communication networks (pp. 323–348). IGI Global Scientific Publishing.
[32] Sreela Sreedhar, Varghese Paul, AS Aneeshkumar, (2015). Solitude Conserve Attribute Cryptographic CP-ABFE Data Protocols in Fuzzy Cloud Service Provider, Indian Journal of Science and Technology, 8(25), pp. 1-5
[33] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025b). Performance evaluation and metrics in blockchain powered AI/ML. In Transforming education with AI-powered personalized learning (pp. 143–178). IGI Global Scientific Publishing.
[34] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025c). Enabling personalized learning and adaptive systems through strategic management. In Bridging academia and industry through cloud integration in education (pp. 49–72). IGI Global Scientific Publishing.
[35] Venice, J. A., Vettriselvan, R., Rajesh, D., Xavier, P., & Shanthi, H. J. (2025d). Optimizing performance metrics in blockchain-enabled AI/ML data analytics. In Enhancing automated decision-making through AI (pp. 97–122). IGI Global.
[36] Venice, J. A., Sripathi, S. K., & Moonga, B. (2025e). Social deviance and the influence of internet exposure. ASET Journal of Management Science, 4(SI-1).
[37] Venice, J. A. A., Jio, W., Kant, S., Sharda, S., & Mittal, S. (2025f). Ethical leadership effect on the regulation of AI in cyber security. In Ethical challenges of AI and warfare (pp. 133–152). IGI Global Scientific Publishing.
[38] Venice, J. A. A., Muthuraman, M., Kant, S., & Mittal, S. (2026). Community engagement effect on school leadership through digital volunteerism. In Strengthening community engagement and school leadership through digital volunteerism (pp. 85–114). IGI Global Scientific Publishing.
[39] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0. In The future of small business in industry 5.0 (pp. 163–186). IGI Global.
[40] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259–264.
[41] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational health issues faced by women in spinners. Indian Journal of Public Health Research & Development, 10(1).
[42] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025a). Health consequences of early marriage. In Social, political, and health implications of early marriage (pp. 189–212). IGI Global.
[43] Vettriselvan, R., Velmurugan, P. R., Varshney, K. R., EP, J., & Deepika, R. (2025b). Health impacts of smartphone and internet addictions across age groups. In Impacts of digital technologies across generations (pp. 187–210). IGI Global.
[44] Vettriselvan, R., Velmurugan, P. R., Suresh, N. V., & Catherine, S. (2025c). Strategies, best practices, and pitfalls in the era of digital transformation. In Impact of digital transformation on business growth and performance (pp. 67–98). IGI Global Scientific Publishing.
[45] Vettriselvan, R., Selvi, K., Kumar, A. S., Ranjani, R. D., & Varshney, K. R. (2025d). Ranking methodologies: Criteria and controversies in global higher education. In Global university ranking systems (pp. 109–140). IGI Global Scientific Publishing.
[46] Vettriselvan, R., Gokuldas, P. G., & Sambamoorthy, N. (2025e). Designing language materials to motivate, engage, and empower learners. In Exploring the psychology of language materials development (pp. 279–302). IGI Global Scientific Publishing.
[47] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026a). Empowering patients through knowledge: Educational strategies in rehabilitation. In Holistic approaches to health recovery (pp. 263–290). IGI Global Scientific Publishing.
[48] Vettriselvan, R., Velmurugan, P. R., Savariapitchai, M., & Swadhi, R. (2026b). AI and international volunteering. In Impacts of AI on international volunteering (pp. 1–24). IGI Global Scientific Publishing.
[49] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025a). Sustainability and responsibility in the digital era. In Digital citizenship and building a responsible online presence (pp. 285–306). IGI Global.
[50] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025b). Strategic collaborations in medical innovation and AI-driven globalization. In Navigating strategic partnerships for sustainable startup growth (pp. 85–110). IGI Global.
[51] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026a). Navigating ethics, society, and governance in the digital age. In Ethics, justice, and governance in the age of AI and digital societies (pp. 1–26). IGI Global Scientific Publishing.
[52] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026b). Transforming the future of management and medical education. In AI education strategies for future-proofing curriculum design (pp. 459–476). IGI Global Scientific Publishing.
[53] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 24 February 2026
Accepted : 27 April 2026
Published : 01 May 2026
DOI: 10.30726/esij/v13.i2.2026.1320020