Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence

Manash Jyoti Borah; Bipan Hazarika; Sumati Kumari Panda; Juan Jose Nieto

doi:10.1016/j.rinp.2020.103587

Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence

Results Phys. 2020 Dec:19:103587. doi: 10.1016/j.rinp.2020.103587. Epub 2020 Nov 18.

Authors

Manash Jyoti Borah¹, Bipan Hazarika², Sumati Kumari Panda³, Juan Jose Nieto^{4

5}

Affiliations

¹ Department of Mathematics, Bahona College, Jorhat 785 101, Assam, India.
² Department of Mathematics, Gauhati University, Guwahati 781 014, Assam, India.
³ Department of Mathematics, GMR Institute of Technology, Rajam 532 127, Andhra Pradesh, India.
⁴ Departamento de Estadística, Análisis Matemático y Optimización Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
⁵ Instituto de Matemáticas, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

Abstract

In this article, for the analysis of Covid-19 progression in India, we present new insights to formulate a data-driven epidemic model and approximation algorithm using the real data on infection, recovery and death cases with respect to weather in the view of mathematical variables.

Keywords: COVID-19; Correlation coefficient; Epidemic model; Fuzzy soft sets; Intuitionistic fuzzy sets.