An Artificial Intelligence Technique used in Mathematical Model for Predictions Symptoms of COVID-19 Pandemic

Author
Namrata Tripathi, Gurusharan Kaur, R K Sharma
Keywords
COVID-19; MERS; Pandemic; Artificial Intelligence; Prediction
Abstract
COVID-19 is a virus still has the potential to spread across countries with no vaccination developed around the world. Artificial intelligence techniques can be instilled to help design better strategies and make productive decisions. These techniques evaluate the situations of the past thus allowing better predictions on the situation that will occur in the future. These mathematical predictions can help prepare for potential threats and consequences. Artificial intelligence techniques play a very important role in obtaining accurate prediction. To calculate the risk factor in the community by using random samples. The predictions of cumulative positive cases of MERS-COVID-19 are by probability methods. Analysis and assumption of outbreak of the disease will be improved by estimating the random sample. Forecast of a pandemic can be made on different parameters like the impact of environmental factors, the effect of quarantine, the incubation period, age, gender and many other factors. Decision making process will be improved. This study examines these challenges and also provides a number of recommendations for people currently battling the global COVID-19 pandemic.
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Received : 15 September 2020
Accepted : 17 December 2020
Published : 04 January 2021
DOI: 10.30726/esij/v7.i4.2020.74021

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