Data analysis of COVID-19 pandemic: a mathematical approach

Geeta -, Anju Panwar

Abstract


The coronavirus disease 2019 (COVID-19) has spread to 219 countries and territories all around the world. There are more than 184,820,132 COVID-19 confirmed cases and over 4,002,209 deaths reported worldwide till 8 July 2021. The objective of this article is to analyze the impact of corona preventive measures on the spread of COVID-19 by using a epidemic model which is based on the logistic map. Moreover time series analysis technique has been used to represent this impact. We applied our model on the states of India. Our findings might be very useful tool for policy makers to take the right decisions in a timely way to control the outbreak of COVID-19 for the government of India.

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Published: 2021-09-28

How to Cite this Article:

Geeta -, Anju Panwar, Data analysis of COVID-19 pandemic: a mathematical approach, J. Math. Comput. Sci., 11 (2021), 7568-7623

Copyright © 2021 Geeta -, Anju Panwar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

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