Cargando…

Econometric analysis of COVID-19 cases, deaths, and meteorological factors in South Asia

The pandemic has affected almost 74 million people worldwide as of 17 December 2020. This is the first study that attempts to examine the nexus between the confirmed COVID-19 cases, deaths, meteorological factors, and the air pollutant namely PM2.5 in six South Asian countries, from 1 March 2020 to...

Descripción completa

Detalles Bibliográficos
Autores principales: Jain, Mansi, Sharma, Gagan Deep, Goyal, Meenu, Kaushal, Robin, Sethi, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861005/
https://www.ncbi.nlm.nih.gov/pubmed/33543434
http://dx.doi.org/10.1007/s11356-021-12613-6
_version_ 1783646998225747968
author Jain, Mansi
Sharma, Gagan Deep
Goyal, Meenu
Kaushal, Robin
Sethi, Monica
author_facet Jain, Mansi
Sharma, Gagan Deep
Goyal, Meenu
Kaushal, Robin
Sethi, Monica
author_sort Jain, Mansi
collection PubMed
description The pandemic has affected almost 74 million people worldwide as of 17 December 2020. This is the first study that attempts to examine the nexus between the confirmed COVID-19 cases, deaths, meteorological factors, and the air pollutant namely PM2.5 in six South Asian countries, from 1 March 2020 to 30 June 2020, using the advanced econometric techniques that are robust to heterogeneity across nations. Our findings confirm (1) a strong cross-sectional dependence and significant correlation between COVID-19 cases, deaths, meteorological factors, and air pollutant; (2) long-term relationship between all the meteorological variables, air pollutant, and COVID-19 death cases; (3) temperature, air pressure, and humidity exhibit a significant impact on the COVID-19 confirmed cases, while COVID-19 confirmed cases and air pollutant PM2.5 have a statistically significant impact on the COVID-19 death cases. In this way, the conclusion that high temperature and high humidity increase the transmission of the COVID-19 infections can also be applied to the regions with greater transmission rates, where the minimum temperature is mostly over 21 °C and humidity ranges around 80% for months. From the findings, it is evident that majority of the meteorological factors and air pollutant PM2.5 exhibit significant negative and positive effects on the number of COVID-19 confirmed cases and death cases in the six countries under study. Air pollutant PM 2.5 provides more particle surface for the virus to stick and get transported longer distances. Hence, higher particulate pollution levels in the air increase COVID-19 transmission in these six South Asian countries. This information is vital for the government and public health authorities in formulating relevant policies. The study contributes both practically and theoretically to the concerned field of pandemic management. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-021-12613-6.
format Online
Article
Text
id pubmed-7861005
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-78610052021-02-05 Econometric analysis of COVID-19 cases, deaths, and meteorological factors in South Asia Jain, Mansi Sharma, Gagan Deep Goyal, Meenu Kaushal, Robin Sethi, Monica Environ Sci Pollut Res Int Research Article The pandemic has affected almost 74 million people worldwide as of 17 December 2020. This is the first study that attempts to examine the nexus between the confirmed COVID-19 cases, deaths, meteorological factors, and the air pollutant namely PM2.5 in six South Asian countries, from 1 March 2020 to 30 June 2020, using the advanced econometric techniques that are robust to heterogeneity across nations. Our findings confirm (1) a strong cross-sectional dependence and significant correlation between COVID-19 cases, deaths, meteorological factors, and air pollutant; (2) long-term relationship between all the meteorological variables, air pollutant, and COVID-19 death cases; (3) temperature, air pressure, and humidity exhibit a significant impact on the COVID-19 confirmed cases, while COVID-19 confirmed cases and air pollutant PM2.5 have a statistically significant impact on the COVID-19 death cases. In this way, the conclusion that high temperature and high humidity increase the transmission of the COVID-19 infections can also be applied to the regions with greater transmission rates, where the minimum temperature is mostly over 21 °C and humidity ranges around 80% for months. From the findings, it is evident that majority of the meteorological factors and air pollutant PM2.5 exhibit significant negative and positive effects on the number of COVID-19 confirmed cases and death cases in the six countries under study. Air pollutant PM 2.5 provides more particle surface for the virus to stick and get transported longer distances. Hence, higher particulate pollution levels in the air increase COVID-19 transmission in these six South Asian countries. This information is vital for the government and public health authorities in formulating relevant policies. The study contributes both practically and theoretically to the concerned field of pandemic management. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-021-12613-6. Springer Berlin Heidelberg 2021-02-04 2021 /pmc/articles/PMC7861005/ /pubmed/33543434 http://dx.doi.org/10.1007/s11356-021-12613-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Jain, Mansi
Sharma, Gagan Deep
Goyal, Meenu
Kaushal, Robin
Sethi, Monica
Econometric analysis of COVID-19 cases, deaths, and meteorological factors in South Asia
title Econometric analysis of COVID-19 cases, deaths, and meteorological factors in South Asia
title_full Econometric analysis of COVID-19 cases, deaths, and meteorological factors in South Asia
title_fullStr Econometric analysis of COVID-19 cases, deaths, and meteorological factors in South Asia
title_full_unstemmed Econometric analysis of COVID-19 cases, deaths, and meteorological factors in South Asia
title_short Econometric analysis of COVID-19 cases, deaths, and meteorological factors in South Asia
title_sort econometric analysis of covid-19 cases, deaths, and meteorological factors in south asia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861005/
https://www.ncbi.nlm.nih.gov/pubmed/33543434
http://dx.doi.org/10.1007/s11356-021-12613-6
work_keys_str_mv AT jainmansi econometricanalysisofcovid19casesdeathsandmeteorologicalfactorsinsouthasia
AT sharmagagandeep econometricanalysisofcovid19casesdeathsandmeteorologicalfactorsinsouthasia
AT goyalmeenu econometricanalysisofcovid19casesdeathsandmeteorologicalfactorsinsouthasia
AT kaushalrobin econometricanalysisofcovid19casesdeathsandmeteorologicalfactorsinsouthasia
AT sethimonica econometricanalysisofcovid19casesdeathsandmeteorologicalfactorsinsouthasia