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10.1007/s11356-021-12668-5 http://scihub22266oqcxt.onion/10.1007/s11356-021-12668-5 33547610!7864620!33547610     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33547610&cmd=llinks): Failed to open stream: HTTP request failed! 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Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation |pdf=|usr=}}{{33547610}} gab.com Text Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation JO: Environ Sci Pollut Res Int http://www.kidney.de/pget.php?&tw=1&pmid=33547610 #FOAvip 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. Causal relations of Meteorological factors and Covid-19 (2 models used in the study). Twit Text FOAVip Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation ????Environ Sci Pollut Res Int http://www.kidney.de/pget.php?&tw=1&pmid=33547610 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33547610 #FOAvip English Wikipedia <ref>{{Cite pmid|33547610}}</ref> Meteorological factors, COVID-19 cases, and deaths in top 10 most affected countries: an econometric investigation #MMPMID33547610 Sharma GD; Bansal S; Yadav A; Jain M; Garg I Environ Sci Pollut Res Int 2021[Jun]; 28 (22): 28624-28639 PMID33547610show ga 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. Causal relations of Meteorological factors and Covid-19 (2 models used in the study). |*Air Pollutants/analysis[MESH] |*COVID-19[MESH] |Cross-Sectional Studies[MESH] |Humans[MESH] |Meteorological Concepts[MESH] |Pandemics[MESH]Meteorological factors, COVID-19 cases, and deaths in top 10 most affe(epmc).pdf DeepDyve Pubget Overpricing