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Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation
This paper examines the nexus between the Covid-19 confirmed cases, deaths, meteorological factors, including an air pollutant among the world’s top 10 infected countries, from 1 February 2020 through 30 June 2020, using advanced econometric techniques to address heterogeneity across the nations. Th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864620/ https://www.ncbi.nlm.nih.gov/pubmed/33547610 http://dx.doi.org/10.1007/s11356-021-12668-5 |
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author | Sharma, Gagan Deep Bansal, Sanchita Yadav, Anshita Jain, Mansi Garg, Isha |
author_facet | Sharma, Gagan Deep Bansal, Sanchita Yadav, Anshita Jain, Mansi Garg, Isha |
author_sort | Sharma, Gagan Deep |
collection | PubMed |
description | This paper examines the nexus between the Covid-19 confirmed cases, deaths, meteorological factors, including an air pollutant among the world’s top 10 infected countries, from 1 February 2020 through 30 June 2020, using advanced econometric techniques to address heterogeneity across the nations. The findings of the study suggest that there exists a strong cross-sectional dependence between Covid-19 cases, deaths, and all the meteorological factors for the countries under study. The findings also reveal that a long-term relationship exists between all the meteorological factors. There exists a bi-directional causality running between the Covid-19 cases and all the meteorological factors. With Covid-19 death cases as the dependent variable, there exists bi-directional causality running between the Covid-19 death cases and Covid-19 confirmed cases, air pressure, humidity, and temperature. Temperature and air pressure exhibit a statistically significant and negative impact on the Covid-19 confirmed cases. Air pollutant PM2.5 also exhibits a significant but positive impact on the Covid-19 confirmed cases. Temperature indicates a statistically significant and negative impact on the Covid-19 death cases. At the same time, Covid-19 confirmed cases and air pollutant PM2.5 exhibit a statistically significant and positive impact on the Covid-19 death cases across the ten countries under study. Hence, it is possible to postulate that cool and dry weather conditions with lower temperatures may promote indoor activities and human gatherings (assembling), leading to virus transmission. This study contributes both practically and theoretically to the concerned field of pandemic management. Our results assist in taking appropriate measures in implementing intersectoral policies and actions as necessary in a timely and efficient manner. GRAPHICAL ABSTRACT: [Figure: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-021-12668-5. |
format | Online Article Text |
id | pubmed-7864620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-78646202021-02-09 Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation Sharma, Gagan Deep Bansal, Sanchita Yadav, Anshita Jain, Mansi Garg, Isha Environ Sci Pollut Res Int Research Article This paper examines the nexus between the Covid-19 confirmed cases, deaths, meteorological factors, including an air pollutant among the world’s top 10 infected countries, from 1 February 2020 through 30 June 2020, using advanced econometric techniques to address heterogeneity across the nations. The findings of the study suggest that there exists a strong cross-sectional dependence between Covid-19 cases, deaths, and all the meteorological factors for the countries under study. The findings also reveal that a long-term relationship exists between all the meteorological factors. There exists a bi-directional causality running between the Covid-19 cases and all the meteorological factors. With Covid-19 death cases as the dependent variable, there exists bi-directional causality running between the Covid-19 death cases and Covid-19 confirmed cases, air pressure, humidity, and temperature. Temperature and air pressure exhibit a statistically significant and negative impact on the Covid-19 confirmed cases. Air pollutant PM2.5 also exhibits a significant but positive impact on the Covid-19 confirmed cases. Temperature indicates a statistically significant and negative impact on the Covid-19 death cases. At the same time, Covid-19 confirmed cases and air pollutant PM2.5 exhibit a statistically significant and positive impact on the Covid-19 death cases across the ten countries under study. Hence, it is possible to postulate that cool and dry weather conditions with lower temperatures may promote indoor activities and human gatherings (assembling), leading to virus transmission. This study contributes both practically and theoretically to the concerned field of pandemic management. Our results assist in taking appropriate measures in implementing intersectoral policies and actions as necessary in a timely and efficient manner. GRAPHICAL ABSTRACT: [Figure: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-021-12668-5. Springer Berlin Heidelberg 2021-02-05 2021 /pmc/articles/PMC7864620/ /pubmed/33547610 http://dx.doi.org/10.1007/s11356-021-12668-5 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 Sharma, Gagan Deep Bansal, Sanchita Yadav, Anshita Jain, Mansi Garg, Isha Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation |
title | Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation |
title_full | Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation |
title_fullStr | Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation |
title_full_unstemmed | Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation |
title_short | Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation |
title_sort | meteorological factors, covid-19 cases, and deaths in top 10 most affected countries: an econometric investigation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864620/ https://www.ncbi.nlm.nih.gov/pubmed/33547610 http://dx.doi.org/10.1007/s11356-021-12668-5 |
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