tetano
Editor, Senior Moderator
J Therm Biol
. 2022 Feb;104:103101.
doi: 10.1016/j.jtherbio.2021.103101. Epub 2021 Sep 20.
Asymmetric impact of temperature on COVID-19 spread in India: Evidence from quantile-on-quantile regression approach
Muhammad Irfan[SUP] 1 [/SUP], Asif Razzaq[SUP] 2 [/SUP], Wanich Suksatan[SUP] 3 [/SUP], Arshian Sharif[SUP] 4 [/SUP], Rajvikram Madurai Elavarasan[SUP] 5 [/SUP], Chuxiao Yang[SUP] 6 [/SUP], Yu Hao[SUP] 7 [/SUP], Abdul Rauf[SUP] 8 [/SUP]
Affiliations
Abstract
The emergence of new coronavirus (SARS-CoV-2) has become a significant public health issue worldwide. Some researchers have identified a positive link between temperature and COVID-19 cases. However, no detailed research has highlighted the impact of temperature on COVID-19 spread in India. This study aims to fill this research gap by investigating the impact of temperature on COVID-19 spread in the five most affected Indian states. Quantile-on-Quantile regression (QQR) approach is employed to examine in what manner the quantiles of temperature influence the quantiles of COVID-19 cases. Empirical results confirm an asymmetric and heterogenous impact of temperature on COVID-19 spread across lower and higher quantiles of both variables. The results indicate a significant positive impact of temperature on COVID-19 spread in the three Indian states (Maharashtra, Andhra Pradesh, and Karnataka), predominantly in both low and high quantiles. Whereas, the other two states (Tamil Nadu and Uttar Pradesh) exhibit a mixed trend, as the lower quantiles in both states have a negative effect. However, this negative effect becomes weak at middle and higher quantiles. These research findings offer valuable policy recommendations.
Keywords: COVID-19; India; Quantile-on-quantile regression; Temperature; Transmissibility.
. 2022 Feb;104:103101.
doi: 10.1016/j.jtherbio.2021.103101. Epub 2021 Sep 20.
Asymmetric impact of temperature on COVID-19 spread in India: Evidence from quantile-on-quantile regression approach
Muhammad Irfan[SUP] 1 [/SUP], Asif Razzaq[SUP] 2 [/SUP], Wanich Suksatan[SUP] 3 [/SUP], Arshian Sharif[SUP] 4 [/SUP], Rajvikram Madurai Elavarasan[SUP] 5 [/SUP], Chuxiao Yang[SUP] 6 [/SUP], Yu Hao[SUP] 7 [/SUP], Abdul Rauf[SUP] 8 [/SUP]
Affiliations
- PMID: 35180949
- DOI: 10.1016/j.jtherbio.2021.103101
Abstract
The emergence of new coronavirus (SARS-CoV-2) has become a significant public health issue worldwide. Some researchers have identified a positive link between temperature and COVID-19 cases. However, no detailed research has highlighted the impact of temperature on COVID-19 spread in India. This study aims to fill this research gap by investigating the impact of temperature on COVID-19 spread in the five most affected Indian states. Quantile-on-Quantile regression (QQR) approach is employed to examine in what manner the quantiles of temperature influence the quantiles of COVID-19 cases. Empirical results confirm an asymmetric and heterogenous impact of temperature on COVID-19 spread across lower and higher quantiles of both variables. The results indicate a significant positive impact of temperature on COVID-19 spread in the three Indian states (Maharashtra, Andhra Pradesh, and Karnataka), predominantly in both low and high quantiles. Whereas, the other two states (Tamil Nadu and Uttar Pradesh) exhibit a mixed trend, as the lower quantiles in both states have a negative effect. However, this negative effect becomes weak at middle and higher quantiles. These research findings offer valuable policy recommendations.
Keywords: COVID-19; India; Quantile-on-quantile regression; Temperature; Transmissibility.