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Influences of weather-related parameters on the spread of Covid-19 pandemic – The scenario of Bangladesh
OBJECTIVE: Weather parameters such as temperature, humidity, air quality index and wind speed are the important factors influencing the infectious diseases like Covid-19. Therefore, this study aims to discuss and analyse the relation between weather parameters and the spread of Coronavirus disease (...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241598/ https://www.ncbi.nlm.nih.gov/pubmed/34226864 http://dx.doi.org/10.1016/j.uclim.2021.100903 |
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author | Arefin, Md Arman Nabi, Md Nurun Islam, Mohammad Towhidul Islam, Md Shamiul |
author_facet | Arefin, Md Arman Nabi, Md Nurun Islam, Mohammad Towhidul Islam, Md Shamiul |
author_sort | Arefin, Md Arman |
collection | PubMed |
description | OBJECTIVE: Weather parameters such as temperature, humidity, air quality index and wind speed are the important factors influencing the infectious diseases like Covid-19. Therefore, this study aims to discuss and analyse the relation between weather parameters and the spread of Coronavirus disease (Covid-19) from the perspective of Bangladesh. METHODS: Correlation among weather parameters and infection and death rate were established using several graphical plots and wind rose diagrams, Kendall and Spearman correlation and appropriate discussion with relevancy and reference. Information presented in this study has been extracted from 1st April 2020 to 30th December 2020. RESULTS: Analyses show that with the decrease in temperature, infection rate increased significantly. Also, the number of infection increases as wind speed increases. As the absolute humidity rate of Bangladesh is almost constant; therefore, the authors are unable to predict any relation of absolute humidity with the number of infection. Further, the prediction for the number of infections based on the wind direction for the several regions of seven divisions in Bangladesh is vulnerable for the upcoming several months. CONCLUSION: This study has analysed the dependency of weather parameters on a number of infections along with predicting the upcoming danger zones. |
format | Online Article Text |
id | pubmed-8241598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82415982021-07-01 Influences of weather-related parameters on the spread of Covid-19 pandemic – The scenario of Bangladesh Arefin, Md Arman Nabi, Md Nurun Islam, Mohammad Towhidul Islam, Md Shamiul Urban Clim Article OBJECTIVE: Weather parameters such as temperature, humidity, air quality index and wind speed are the important factors influencing the infectious diseases like Covid-19. Therefore, this study aims to discuss and analyse the relation between weather parameters and the spread of Coronavirus disease (Covid-19) from the perspective of Bangladesh. METHODS: Correlation among weather parameters and infection and death rate were established using several graphical plots and wind rose diagrams, Kendall and Spearman correlation and appropriate discussion with relevancy and reference. Information presented in this study has been extracted from 1st April 2020 to 30th December 2020. RESULTS: Analyses show that with the decrease in temperature, infection rate increased significantly. Also, the number of infection increases as wind speed increases. As the absolute humidity rate of Bangladesh is almost constant; therefore, the authors are unable to predict any relation of absolute humidity with the number of infection. Further, the prediction for the number of infections based on the wind direction for the several regions of seven divisions in Bangladesh is vulnerable for the upcoming several months. CONCLUSION: This study has analysed the dependency of weather parameters on a number of infections along with predicting the upcoming danger zones. Published by Elsevier B.V. 2021-07 2021-06-30 /pmc/articles/PMC8241598/ /pubmed/34226864 http://dx.doi.org/10.1016/j.uclim.2021.100903 Text en © 2021 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Arefin, Md Arman Nabi, Md Nurun Islam, Mohammad Towhidul Islam, Md Shamiul Influences of weather-related parameters on the spread of Covid-19 pandemic – The scenario of Bangladesh |
title | Influences of weather-related parameters on the spread of Covid-19 pandemic – The scenario of Bangladesh |
title_full | Influences of weather-related parameters on the spread of Covid-19 pandemic – The scenario of Bangladesh |
title_fullStr | Influences of weather-related parameters on the spread of Covid-19 pandemic – The scenario of Bangladesh |
title_full_unstemmed | Influences of weather-related parameters on the spread of Covid-19 pandemic – The scenario of Bangladesh |
title_short | Influences of weather-related parameters on the spread of Covid-19 pandemic – The scenario of Bangladesh |
title_sort | influences of weather-related parameters on the spread of covid-19 pandemic – the scenario of bangladesh |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241598/ https://www.ncbi.nlm.nih.gov/pubmed/34226864 http://dx.doi.org/10.1016/j.uclim.2021.100903 |
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