Manuscript Title:

COVID-19 TEMPERATURE DEPENDENCE ANALYSIS USING LEVENBERG-MARQUARDT ALGORITHM

Author:

MAYURI JAIN, SUKHADA ALONI, PRAVIN ADIVAREKAR, RAMYA R B, MERLIN PRIYA JACOB

DOI Number:

DOI:10.17605/OSF.IO/8ZCMB

Published : 2022-05-10

About the author(s)

1. MAYURI JAIN - Computer Engineering, AP Shah Institute of Technology, Thane, 400615, Maharashtra, India.
2. SUKHADA ALONI - Computer Engineering, AP Shah Institute of Technology, Thane, 400615, Maharashtra, India.
3. PRAVIN ADIVAREKAR - Computer Engineering, AP Shah Institute of Technology, Thane, 400615, Maharashtra, India.
4. RAMYA R B - Computer Engineering, AP Shah Institute of Technology, Thane, 400615, Maharashtra, India.
5. MERLIN PRIYA JACOB - Computer Engineering, AP Shah Institute of Technology, Thane, 400615, Maharashtra, India.

Full Text : PDF

Abstract

Different countries suffered from waves of the COVID-19 pandemic during different seasons of the year. It was seen in that the pandemic was just as pervasive in countries that experience colder temperatures and those that experience warmer temperatures. We present a study on the impact of regional temperatures on the COVID-19 pandemic. We applied the Levenberg-Marquardt technique to draw a relation between regional temperature and the peaks of the pandemic in a country. Countries in the Arctic Circle like Norway, Sweden, etc. That are higher in latitude experienced the peaks of the pandemic during extremely low temperatures. While countries in the equatorial region experienced peaks of the pandemic in the warmer climate. It was also observed that thebehavior of the local people during these peaks was not different than their usual behavior. Hence, a change in the lifestyle of the people was also not a contributing factor to the peaks of the pandemic. As per our findings, the COVID19 causing Coronavirus was not as persistent in temperatures ranging from 14C and 20C. But, the virus was seen to spread rapidly in the extremely low-temperature range of 0C to 13C and hightemperature range of 21C to 35C. With our algorithm that prediction was 81.1 % accurate.


Keywords

COVID-19 TEMPERATURE DEPENDENCE ANALYSIS USING LEVENBERG-MARQUARDT ALGORITHM