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The effects of weather on the spread of COVID-19: evidence from Ghana
Background Climatic factors have been shown to influence communicable disease dynamics especially in tropical regions where temperature could swing from extreme heat and dryness to wet and cold within a short period of time. This is more pronounced in the spread of airborne diseases. In this study,...
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Published in: | Bulletin of the National Research Centre 2021-01, Vol.45 (1), p.20-20, Article 20 |
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description | Background
Climatic factors have been shown to influence communicable disease dynamics especially in tropical regions where temperature could swing from extreme heat and dryness to wet and cold within a short period of time. This is more pronounced in the spread of airborne diseases. In this study, the effect of some local weather variables (average temperature, average relative humidity, average wind speed and average atmospheric pressure) on the risk of Severe Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Ghana is investigated. The daily confirmed new COVID-19 cases were compiled from the Ghana Health Service and the weather data extracted from Weatherbase. The type of relationship between the climatic variable and risk of spread were explored using the Generalized Additive Model (GAM).
Results
Results obtained showed that wind speed and atmospheric pressure have positive linear relationship with the spread of infection an increase in the risk of COVID-19 spread. In addition, the risk of spread fluctuates for temperature between 24 and 29 °C but sharply decreases when average temperature exceeds 29 °C. The risk of spread of COVID-19 significantly decrease for relative humidity between 72 and 76% and leveled afterwards.
Conclusion
The results indicate that wind speed and pressure have a positive linear relationship with the risk of spread of COVID-19 whilst temperature and humidity have a non-linear relationship with the spread of COVID-19. These findings highlight the need for policy makers to design effective countermeasures for controlling the spread as we are still within the low temperature season. |
doi_str_mv | 10.1186/s42269-021-00484-3 |
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Climatic factors have been shown to influence communicable disease dynamics especially in tropical regions where temperature could swing from extreme heat and dryness to wet and cold within a short period of time. This is more pronounced in the spread of airborne diseases. In this study, the effect of some local weather variables (average temperature, average relative humidity, average wind speed and average atmospheric pressure) on the risk of Severe Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Ghana is investigated. The daily confirmed new COVID-19 cases were compiled from the Ghana Health Service and the weather data extracted from Weatherbase. The type of relationship between the climatic variable and risk of spread were explored using the Generalized Additive Model (GAM).
Results
Results obtained showed that wind speed and atmospheric pressure have positive linear relationship with the spread of infection an increase in the risk of COVID-19 spread. In addition, the risk of spread fluctuates for temperature between 24 and 29 °C but sharply decreases when average temperature exceeds 29 °C. The risk of spread of COVID-19 significantly decrease for relative humidity between 72 and 76% and leveled afterwards.
Conclusion
The results indicate that wind speed and pressure have a positive linear relationship with the risk of spread of COVID-19 whilst temperature and humidity have a non-linear relationship with the spread of COVID-19. These findings highlight the need for policy makers to design effective countermeasures for controlling the spread as we are still within the low temperature season.</description><identifier>ISSN: 2522-8307</identifier><identifier>ISSN: 1110-0591</identifier><identifier>EISSN: 2522-8307</identifier><identifier>DOI: 10.1186/s42269-021-00484-3</identifier><identifier>PMID: 33456305</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Atmospheric pressure ; Brittleness ; Climate ; Climate change ; Coronaviruses ; COVID-19 ; Disease control ; Environmental Sciences ; Extreme heat ; Generalized additive model ; Humanities and Social Sciences ; Humidity ; Linear and nonlinear relationships ; Low temperature ; Meteorological data ; multidisciplinary ; Relative humidity ; Risk ; Science ; Science (multidisciplinary) ; Severe acute respiratory syndrome coronavirus 2 ; Tropical environment ; Tropical environments ; Viral diseases ; Weather ; Wind ; Wind speed</subject><ispartof>Bulletin of the National Research Centre, 2021-01, Vol.45 (1), p.20-20, Article 20</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021.</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4863-c60f482674fe3bbc4705ac7b58ea3cb6da1bd230143f2d36364126d5ab042f023</citedby><cites>FETCH-LOGICAL-c4863-c60f482674fe3bbc4705ac7b58ea3cb6da1bd230143f2d36364126d5ab042f023</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2477092046?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25752,27923,27924,37011,37012,44589</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33456305$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Aidoo, Eric N.</creatorcontrib><creatorcontrib>Adebanji, Atinuke O.</creatorcontrib><creatorcontrib>Awashie, Gaston E.</creatorcontrib><creatorcontrib>Appiah, Simon K.</creatorcontrib><title>The effects of weather on the spread of COVID-19: evidence from Ghana</title><title>Bulletin of the National Research Centre</title><addtitle>Bull Natl Res Cent</addtitle><addtitle>Bull Natl Res Cent</addtitle><description>Background
Climatic factors have been shown to influence communicable disease dynamics especially in tropical regions where temperature could swing from extreme heat and dryness to wet and cold within a short period of time. This is more pronounced in the spread of airborne diseases. In this study, the effect of some local weather variables (average temperature, average relative humidity, average wind speed and average atmospheric pressure) on the risk of Severe Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Ghana is investigated. The daily confirmed new COVID-19 cases were compiled from the Ghana Health Service and the weather data extracted from Weatherbase. The type of relationship between the climatic variable and risk of spread were explored using the Generalized Additive Model (GAM).
Results
Results obtained showed that wind speed and atmospheric pressure have positive linear relationship with the spread of infection an increase in the risk of COVID-19 spread. In addition, the risk of spread fluctuates for temperature between 24 and 29 °C but sharply decreases when average temperature exceeds 29 °C. The risk of spread of COVID-19 significantly decrease for relative humidity between 72 and 76% and leveled afterwards.
Conclusion
The results indicate that wind speed and pressure have a positive linear relationship with the risk of spread of COVID-19 whilst temperature and humidity have a non-linear relationship with the spread of COVID-19. These findings highlight the need for policy makers to design effective countermeasures for controlling the spread as we are still within the low temperature season.</description><subject>Atmospheric pressure</subject><subject>Brittleness</subject><subject>Climate</subject><subject>Climate change</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease control</subject><subject>Environmental Sciences</subject><subject>Extreme heat</subject><subject>Generalized additive model</subject><subject>Humanities and Social Sciences</subject><subject>Humidity</subject><subject>Linear and nonlinear relationships</subject><subject>Low temperature</subject><subject>Meteorological data</subject><subject>multidisciplinary</subject><subject>Relative humidity</subject><subject>Risk</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Tropical environment</subject><subject>Tropical environments</subject><subject>Viral diseases</subject><subject>Weather</subject><subject>Wind</subject><subject>Wind speed</subject><issn>2522-8307</issn><issn>1110-0591</issn><issn>2522-8307</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kU1v1DAQhi0EotXSP8ABReLCJTD-iO1wQEJLKStV6qVwtWxnvJtVNl7sbCv-Pd6mlJYDJ1uex49n_BLymsJ7SrX8kAVjsq2B0RpAaFHzZ-SUNYzVmoN6_mh_Qs5y3gIUVBSUvSQnnItGcmhOyfn1BisMAf2UqxiqW7TTBlMVx6qsVd4ntN2xsLz6sfpS0_ZjhTd9h6PHKqS4qy42drSvyItgh4xn9-uCfP96fr38Vl9eXayWny9rL7TktZcQhGZSiYDcOS8UNNYr12i03DvZWeo6xoEKHljHJZeCMtk11pW2AzC-IKvZ20W7NfvU72z6ZaLtzd1BTGtj09T7AQ1IppyUWkrnhABrUXEHrrVUtF40UFyfZtf-4HbYeRynZIcn0qeVsd-YdbwxSgNryzgL8u5ekOLPA-bJ7PrscRjsiPGQDRNKK6VbqQv69h90Gw9pLF91pBS0DMRRyGbKp5hzwvDQDAVzDN3MoZuSpLkL3fBy6c3jMR6u_Im4AHwGSpb9uMb09-3_aH8D3bKz0A</recordid><startdate>20210112</startdate><enddate>20210112</enddate><creator>Aidoo, Eric N.</creator><creator>Adebanji, Atinuke O.</creator><creator>Awashie, Gaston E.</creator><creator>Appiah, Simon K.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7X7</scope><scope>7XB</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>SOI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210112</creationdate><title>The effects of weather on the spread of COVID-19: evidence from Ghana</title><author>Aidoo, Eric N. ; Adebanji, Atinuke O. ; Awashie, Gaston E. ; Appiah, Simon K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4863-c60f482674fe3bbc4705ac7b58ea3cb6da1bd230143f2d36364126d5ab042f023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Atmospheric pressure</topic><topic>Brittleness</topic><topic>Climate</topic><topic>Climate change</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Disease control</topic><topic>Environmental Sciences</topic><topic>Extreme heat</topic><topic>Generalized additive model</topic><topic>Humanities and Social Sciences</topic><topic>Humidity</topic><topic>Linear and nonlinear relationships</topic><topic>Low temperature</topic><topic>Meteorological data</topic><topic>multidisciplinary</topic><topic>Relative humidity</topic><topic>Risk</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Tropical environment</topic><topic>Tropical environments</topic><topic>Viral diseases</topic><topic>Weather</topic><topic>Wind</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aidoo, Eric N.</creatorcontrib><creatorcontrib>Adebanji, Atinuke O.</creatorcontrib><creatorcontrib>Awashie, Gaston E.</creatorcontrib><creatorcontrib>Appiah, Simon K.</creatorcontrib><collection>SpringerOpen</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Bulletin of the National Research Centre</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aidoo, Eric N.</au><au>Adebanji, Atinuke O.</au><au>Awashie, Gaston E.</au><au>Appiah, Simon K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The effects of weather on the spread of COVID-19: evidence from Ghana</atitle><jtitle>Bulletin of the National Research Centre</jtitle><stitle>Bull Natl Res Cent</stitle><addtitle>Bull Natl Res Cent</addtitle><date>2021-01-12</date><risdate>2021</risdate><volume>45</volume><issue>1</issue><spage>20</spage><epage>20</epage><pages>20-20</pages><artnum>20</artnum><issn>2522-8307</issn><issn>1110-0591</issn><eissn>2522-8307</eissn><abstract>Background
Climatic factors have been shown to influence communicable disease dynamics especially in tropical regions where temperature could swing from extreme heat and dryness to wet and cold within a short period of time. This is more pronounced in the spread of airborne diseases. In this study, the effect of some local weather variables (average temperature, average relative humidity, average wind speed and average atmospheric pressure) on the risk of Severe Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Ghana is investigated. The daily confirmed new COVID-19 cases were compiled from the Ghana Health Service and the weather data extracted from Weatherbase. The type of relationship between the climatic variable and risk of spread were explored using the Generalized Additive Model (GAM).
Results
Results obtained showed that wind speed and atmospheric pressure have positive linear relationship with the spread of infection an increase in the risk of COVID-19 spread. In addition, the risk of spread fluctuates for temperature between 24 and 29 °C but sharply decreases when average temperature exceeds 29 °C. The risk of spread of COVID-19 significantly decrease for relative humidity between 72 and 76% and leveled afterwards.
Conclusion
The results indicate that wind speed and pressure have a positive linear relationship with the risk of spread of COVID-19 whilst temperature and humidity have a non-linear relationship with the spread of COVID-19. These findings highlight the need for policy makers to design effective countermeasures for controlling the spread as we are still within the low temperature season.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33456305</pmid><doi>10.1186/s42269-021-00484-3</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Atmospheric pressure Brittleness Climate Climate change Coronaviruses COVID-19 Disease control Environmental Sciences Extreme heat Generalized additive model Humanities and Social Sciences Humidity Linear and nonlinear relationships Low temperature Meteorological data multidisciplinary Relative humidity Risk Science Science (multidisciplinary) Severe acute respiratory syndrome coronavirus 2 Tropical environment Tropical environments Viral diseases Weather Wind Wind speed |
title | The effects of weather on the spread of COVID-19: evidence from Ghana |
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