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Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces
The outbreak of novel coronavirus (COVID-19) has become a global concern that is deteriorating environmental quality and damaging human health. Though some researchers have investigated the linkage between temperature and COVID-19 transmissibility across different geographical locations and over tim...
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/PMC8211721/ https://www.ncbi.nlm.nih.gov/pubmed/34143386 http://dx.doi.org/10.1007/s11356-021-14875-6 |
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author | Irfan, Muhammad Ikram, Muhammad Ahmad, Munir Wu, Haitao Hao, Yu |
author_facet | Irfan, Muhammad Ikram, Muhammad Ahmad, Munir Wu, Haitao Hao, Yu |
author_sort | Irfan, Muhammad |
collection | PubMed |
description | The outbreak of novel coronavirus (COVID-19) has become a global concern that is deteriorating environmental quality and damaging human health. Though some researchers have investigated the linkage between temperature and COVID-19 transmissibility across different geographical locations and over time, yet these studies are scarce. This study aims to bridge this gap using daily temperature and COVID-19 cases (transmissibility) by employing grey incidence analysis (GIA) models (i.e., Deng’s grey incidence analysis (DGIA), the absolute degree GIA (ADGIA), the second synthetic degree GIA (SSDGIA), the conservative (maximin) model) and correlation analysis. Data on temperature are accessed from the NASA database, while the data on COVID-19 cases are collected from the official website of the government of Pakistan. Empirical results reveal the existence of linkages between temperature and COVID-19 in all Pakistani provinces. These linkages vary from a relatively stronger to a relatively weaker linkage. Based on calculated weights, the strength of linkages is ranked across provinces as follows: Gilgit Baltistan (0.715301) > Baluchistan (0.675091) > Khyber Pakhtunkhwa (0.619893) > Punjab (0.619286) > Sindh (0.601736). The disparity in the strength of linkage among provinces is explained by the discrepancy in the intensity of temperature. Besides, the diagrammatic correlation analysis shows that temperature is inversely linked to COVID-19 cases (per million persons) over time, implying that low temperatures are associated with high COVID-19 transmissibility and vice versa. This study is among the first of its kind to consider the linkages between temperature and COVID-19 transmissibility for a tropical climate country (Pakistan) using the advanced GIA models. Research findings provide an up-to-date glimpse of the outbreak and emphasize the need to raise public awareness about the devastating impacts of the COVID-19. The educational syllabus should provide information on the causes, signs, and precautions of the pandemic. Additionally, individuals should practice handwashing, social distancing, personal hygiene, mask-wearing, and the use of hand sanitizers to ensure a secure and supportive atmosphere for preventing and controlling the current pandemic. |
format | Online Article Text |
id | pubmed-8211721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-82117212021-06-21 Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces Irfan, Muhammad Ikram, Muhammad Ahmad, Munir Wu, Haitao Hao, Yu Environ Sci Pollut Res Int Research Article The outbreak of novel coronavirus (COVID-19) has become a global concern that is deteriorating environmental quality and damaging human health. Though some researchers have investigated the linkage between temperature and COVID-19 transmissibility across different geographical locations and over time, yet these studies are scarce. This study aims to bridge this gap using daily temperature and COVID-19 cases (transmissibility) by employing grey incidence analysis (GIA) models (i.e., Deng’s grey incidence analysis (DGIA), the absolute degree GIA (ADGIA), the second synthetic degree GIA (SSDGIA), the conservative (maximin) model) and correlation analysis. Data on temperature are accessed from the NASA database, while the data on COVID-19 cases are collected from the official website of the government of Pakistan. Empirical results reveal the existence of linkages between temperature and COVID-19 in all Pakistani provinces. These linkages vary from a relatively stronger to a relatively weaker linkage. Based on calculated weights, the strength of linkages is ranked across provinces as follows: Gilgit Baltistan (0.715301) > Baluchistan (0.675091) > Khyber Pakhtunkhwa (0.619893) > Punjab (0.619286) > Sindh (0.601736). The disparity in the strength of linkage among provinces is explained by the discrepancy in the intensity of temperature. Besides, the diagrammatic correlation analysis shows that temperature is inversely linked to COVID-19 cases (per million persons) over time, implying that low temperatures are associated with high COVID-19 transmissibility and vice versa. This study is among the first of its kind to consider the linkages between temperature and COVID-19 transmissibility for a tropical climate country (Pakistan) using the advanced GIA models. Research findings provide an up-to-date glimpse of the outbreak and emphasize the need to raise public awareness about the devastating impacts of the COVID-19. The educational syllabus should provide information on the causes, signs, and precautions of the pandemic. Additionally, individuals should practice handwashing, social distancing, personal hygiene, mask-wearing, and the use of hand sanitizers to ensure a secure and supportive atmosphere for preventing and controlling the current pandemic. Springer Berlin Heidelberg 2021-06-18 2021 /pmc/articles/PMC8211721/ /pubmed/34143386 http://dx.doi.org/10.1007/s11356-021-14875-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 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 Irfan, Muhammad Ikram, Muhammad Ahmad, Munir Wu, Haitao Hao, Yu Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces |
title | Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces |
title_full | Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces |
title_fullStr | Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces |
title_full_unstemmed | Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces |
title_short | Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces |
title_sort | does temperature matter for covid-19 transmissibility? evidence across pakistani provinces |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211721/ https://www.ncbi.nlm.nih.gov/pubmed/34143386 http://dx.doi.org/10.1007/s11356-021-14875-6 |
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