Coronavirus seasonality, respiratory infections and weather
Background The survival of coronaviruses are influenced by weather conditions and seasonal coronaviruses are more common in winter months. We examine the seasonality of respiratory infections in England and Wales and the associations between weather parameters and seasonal coronavirus cases. Methods...
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description | Background The survival of coronaviruses are influenced by weather conditions and seasonal coronaviruses are more common in winter months. We examine the seasonality of respiratory infections in England and Wales and the associations between weather parameters and seasonal coronavirus cases. Methods Respiratory virus disease data for England and Wales between 1989 and 2019 was extracted from the Second-Generation Surveillance System (SGSS) database used for routine surveillance. Seasonal coronaviruses from 2012 to 2019 were compared to daily average weather parameters for the period before the patient's specimen date with a range of lag periods. Results The seasonal distribution of 985,524 viral infections in England and Wales (1989-2019) showed coronavirus infections had a similar seasonal distribution to influenza A and bocavirus, with a winter peak between weeks 2 to 8. Ninety percent of infections occurred where the daily mean ambient temperatures were below 10 degrees C; where daily average global radiation exceeded 500 kJ/m(2)/h; where sunshine was less than 5 h per day; or where relative humidity was above 80%. Coronavirus infections were significantly more common where daily average global radiation was under 300 kJ/m(2)/h (OR 4.3; CI 3.9-4.6; p < 0.001); where average relative humidity was over 84% (OR 1.9; CI 3.9-4.6; p < 0.001); where average air temperature was below 10 degrees C (OR 6.7; CI 6.1-7.3; p < 0.001) or where sunshine was below 4 h (OR 2.4; CI 2.2-2.6; p < 0.001) when compared to the distribution of weather values for the same time period. Seasonal coronavirus infections in children under 3 years old were more frequent at the start of an annual epidemic than at the end, suggesting that the size of the susceptible child population may be important in the annual cycle. Conclusions The dynamics of seasonal coronaviruses reflect immunological, weather, social and travel drivers of infection. Evidence from studies on different coronaviruses suggest that low temperature and low radiation/sunlight favour survival. This implies a seasonal increase in SARS-CoV-2 may occur in the UK and countries with a similar climate as a result of an increase in the R-0 associated with reduced temperatures and solar radiation. Increased measures to reduce transmission will need to be introduced in winter months for COVID-19. |
doi_str_mv | 10.1186/s12879-021-06785-2 |
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L. ; Gillingham, E. L. ; Macintyre, H. L. ; Vardoulakis, S. ; Hajat, S. ; Sarran, C. E. ; Amankwaah, D. ; Phalkey, R.</creator><creatorcontrib>Nichols, G. L. ; Gillingham, E. L. ; Macintyre, H. L. ; Vardoulakis, S. ; Hajat, S. ; Sarran, C. E. ; Amankwaah, D. ; Phalkey, R.</creatorcontrib><description>Background The survival of coronaviruses are influenced by weather conditions and seasonal coronaviruses are more common in winter months. We examine the seasonality of respiratory infections in England and Wales and the associations between weather parameters and seasonal coronavirus cases. Methods Respiratory virus disease data for England and Wales between 1989 and 2019 was extracted from the Second-Generation Surveillance System (SGSS) database used for routine surveillance. Seasonal coronaviruses from 2012 to 2019 were compared to daily average weather parameters for the period before the patient's specimen date with a range of lag periods. Results The seasonal distribution of 985,524 viral infections in England and Wales (1989-2019) showed coronavirus infections had a similar seasonal distribution to influenza A and bocavirus, with a winter peak between weeks 2 to 8. Ninety percent of infections occurred where the daily mean ambient temperatures were below 10 degrees C; where daily average global radiation exceeded 500 kJ/m(2)/h; where sunshine was less than 5 h per day; or where relative humidity was above 80%. Coronavirus infections were significantly more common where daily average global radiation was under 300 kJ/m(2)/h (OR 4.3; CI 3.9-4.6; p < 0.001); where average relative humidity was over 84% (OR 1.9; CI 3.9-4.6; p < 0.001); where average air temperature was below 10 degrees C (OR 6.7; CI 6.1-7.3; p < 0.001) or where sunshine was below 4 h (OR 2.4; CI 2.2-2.6; p < 0.001) when compared to the distribution of weather values for the same time period. Seasonal coronavirus infections in children under 3 years old were more frequent at the start of an annual epidemic than at the end, suggesting that the size of the susceptible child population may be important in the annual cycle. Conclusions The dynamics of seasonal coronaviruses reflect immunological, weather, social and travel drivers of infection. Evidence from studies on different coronaviruses suggest that low temperature and low radiation/sunlight favour survival. This implies a seasonal increase in SARS-CoV-2 may occur in the UK and countries with a similar climate as a result of an increase in the R-0 associated with reduced temperatures and solar radiation. Increased measures to reduce transmission will need to be introduced in winter months for COVID-19.</description><identifier>ISSN: 1471-2334</identifier><identifier>EISSN: 1471-2334</identifier><identifier>DOI: 10.1186/s12879-021-06785-2</identifier><identifier>PMID: 34702177</identifier><language>eng</language><publisher>LONDON: Springer Nature</publisher><subject>Air temperature ; Ambient temperature ; Analysis ; Care and treatment ; Child ; Child, Preschool ; Climate ; Control ; Coronaviridae ; Coronavirus ; Coronaviruses ; COVID-19 ; Diagnosis ; Disease control ; Disease transmission ; Epidemics ; Health aspects ; Humans ; Humidity ; Immunology ; Infections ; Infectious Diseases ; Influenza ; Influenza A ; Life Sciences & Biomedicine ; Low temperature ; Mortality ; Pandemics ; Parameters ; Public health ; Radiation measurement ; Relative humidity ; Reptiles & amphibians ; Respiratory diseases ; Respiratory syncytial virus ; Respiratory tract infection ; Respiratory tract infections ; Respiratory Tract Infections - epidemiology ; Respiratory viruses ; Risk factors ; SARS-CoV-2 ; Science & Technology ; Seasonal distribution ; Seasonal variations ; Seasonal variations (Diseases) ; Seasonality ; Seasons ; Severe acute respiratory syndrome coronavirus 2 ; Solar radiation ; Summer ; Sunlight ; Surveillance ; Survival ; Travelers ; Viral diseases ; Viruses ; Weather ; Winter</subject><ispartof>BMC infectious diseases, 2021-10, Vol.21 (1), p.1101-1101, Article 1101</ispartof><rights>2021. The Author(s).</rights><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed 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><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>49</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000711440200004</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c697t-6914aa3f1a661311a386f9f161f6d4c73b24de1ed7ab193fb6ff14a3020da8a13</citedby><cites>FETCH-LOGICAL-c697t-6914aa3f1a661311a386f9f161f6d4c73b24de1ed7ab193fb6ff14a3020da8a13</cites><orcidid>0000-0001-6791-7903 ; 0000-0003-0773-9556 ; 0000-0003-3944-7128</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547307/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547307/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2118,27933,27934,39267,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34702177$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nichols, G. L.</creatorcontrib><creatorcontrib>Gillingham, E. L.</creatorcontrib><creatorcontrib>Macintyre, H. L.</creatorcontrib><creatorcontrib>Vardoulakis, S.</creatorcontrib><creatorcontrib>Hajat, S.</creatorcontrib><creatorcontrib>Sarran, C. E.</creatorcontrib><creatorcontrib>Amankwaah, D.</creatorcontrib><creatorcontrib>Phalkey, R.</creatorcontrib><title>Coronavirus seasonality, respiratory infections and weather</title><title>BMC infectious diseases</title><addtitle>BMC INFECT DIS</addtitle><addtitle>BMC Infect Dis</addtitle><description>Background The survival of coronaviruses are influenced by weather conditions and seasonal coronaviruses are more common in winter months. We examine the seasonality of respiratory infections in England and Wales and the associations between weather parameters and seasonal coronavirus cases. Methods Respiratory virus disease data for England and Wales between 1989 and 2019 was extracted from the Second-Generation Surveillance System (SGSS) database used for routine surveillance. Seasonal coronaviruses from 2012 to 2019 were compared to daily average weather parameters for the period before the patient's specimen date with a range of lag periods. Results The seasonal distribution of 985,524 viral infections in England and Wales (1989-2019) showed coronavirus infections had a similar seasonal distribution to influenza A and bocavirus, with a winter peak between weeks 2 to 8. Ninety percent of infections occurred where the daily mean ambient temperatures were below 10 degrees C; where daily average global radiation exceeded 500 kJ/m(2)/h; where sunshine was less than 5 h per day; or where relative humidity was above 80%. Coronavirus infections were significantly more common where daily average global radiation was under 300 kJ/m(2)/h (OR 4.3; CI 3.9-4.6; p < 0.001); where average relative humidity was over 84% (OR 1.9; CI 3.9-4.6; p < 0.001); where average air temperature was below 10 degrees C (OR 6.7; CI 6.1-7.3; p < 0.001) or where sunshine was below 4 h (OR 2.4; CI 2.2-2.6; p < 0.001) when compared to the distribution of weather values for the same time period. Seasonal coronavirus infections in children under 3 years old were more frequent at the start of an annual epidemic than at the end, suggesting that the size of the susceptible child population may be important in the annual cycle. Conclusions The dynamics of seasonal coronaviruses reflect immunological, weather, social and travel drivers of infection. Evidence from studies on different coronaviruses suggest that low temperature and low radiation/sunlight favour survival. This implies a seasonal increase in SARS-CoV-2 may occur in the UK and countries with a similar climate as a result of an increase in the R-0 associated with reduced temperatures and solar radiation. Increased measures to reduce transmission will need to be introduced in winter months for COVID-19.</description><subject>Air temperature</subject><subject>Ambient temperature</subject><subject>Analysis</subject><subject>Care and treatment</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Climate</subject><subject>Control</subject><subject>Coronaviridae</subject><subject>Coronavirus</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Diagnosis</subject><subject>Disease control</subject><subject>Disease transmission</subject><subject>Epidemics</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Humidity</subject><subject>Immunology</subject><subject>Infections</subject><subject>Infectious Diseases</subject><subject>Influenza</subject><subject>Influenza A</subject><subject>Life Sciences & Biomedicine</subject><subject>Low temperature</subject><subject>Mortality</subject><subject>Pandemics</subject><subject>Parameters</subject><subject>Public health</subject><subject>Radiation measurement</subject><subject>Relative humidity</subject><subject>Reptiles & amphibians</subject><subject>Respiratory diseases</subject><subject>Respiratory syncytial virus</subject><subject>Respiratory tract infection</subject><subject>Respiratory tract infections</subject><subject>Respiratory Tract Infections - epidemiology</subject><subject>Respiratory viruses</subject><subject>Risk factors</subject><subject>SARS-CoV-2</subject><subject>Science & Technology</subject><subject>Seasonal distribution</subject><subject>Seasonal variations</subject><subject>Seasonal variations (Diseases)</subject><subject>Seasonality</subject><subject>Seasons</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Solar radiation</subject><subject>Summer</subject><subject>Sunlight</subject><subject>Surveillance</subject><subject>Survival</subject><subject>Travelers</subject><subject>Viral diseases</subject><subject>Viruses</subject><subject>Weather</subject><subject>Winter</subject><issn>1471-2334</issn><issn>1471-2334</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNqNkltrFDEcxQdR7EW_gA-y4IuiU_NPMrkgCGXxslAoeHsNmUyyzTI72SaZtvvtzXbr2hUfmjzkMr9zwhxOVb0AdAIg2PsEWHBZIww1Ylw0NX5UHQLlUGNC6ON7-4PqKKUFQsAFlk-rA0J5UXF-WH2YhhgGfeXjmCbJ6lQOvc_rd5No08pHnUNcT_zgrMk-DGmih25ybXW-sPFZ9cTpPtnnd-tx9fPzpx_Tr_XZ-ZfZ9PSsNkzyXDMJVGviQDMGBEATwZx0wMCxjhpOWkw7C7bjugVJXMucKwqCMOq00ECOq9nWtwt6oVbRL3Vcq6C9ur0Ica50zN70VjW2aVnXtZ22gja8bRuA1jjXIiwpIbJ4fdx6rcZ2aTtjhxx1v2e6_2XwF2oerpRoKCeIF4PXdwYxXI42ZbX0ydi-14MNY1K4EUzK8poo6Kt_0EUYY8l3Q0mJEMKi-UvNdfmBknQo75qNqTplAhglDdlQJ_-hyuzs0pswWOfL_Z7gzZ6gMNne5LkeU1Kz798ezp7_2mfxljUxpBSt22UHSG1qqba1VKVg6raWChfRy_up7yR_eliAt1vg2rbBJePtYOwOK0lxAEpLI8qghRYPp6c-6011p2EcMvkNldz7gw</recordid><startdate>20211026</startdate><enddate>20211026</enddate><creator>Nichols, G. 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L. ; Gillingham, E. L. ; Macintyre, H. L. ; Vardoulakis, S. ; Hajat, S. ; Sarran, C. 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L.</creatorcontrib><creatorcontrib>Gillingham, E. L.</creatorcontrib><creatorcontrib>Macintyre, H. L.</creatorcontrib><creatorcontrib>Vardoulakis, S.</creatorcontrib><creatorcontrib>Hajat, S.</creatorcontrib><creatorcontrib>Sarran, C. E.</creatorcontrib><creatorcontrib>Amankwaah, D.</creatorcontrib><creatorcontrib>Phalkey, R.</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health 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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nichols, G. L.</au><au>Gillingham, E. L.</au><au>Macintyre, H. L.</au><au>Vardoulakis, S.</au><au>Hajat, S.</au><au>Sarran, C. E.</au><au>Amankwaah, D.</au><au>Phalkey, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coronavirus seasonality, respiratory infections and weather</atitle><jtitle>BMC infectious diseases</jtitle><stitle>BMC INFECT DIS</stitle><addtitle>BMC Infect Dis</addtitle><date>2021-10-26</date><risdate>2021</risdate><volume>21</volume><issue>1</issue><spage>1101</spage><epage>1101</epage><pages>1101-1101</pages><artnum>1101</artnum><issn>1471-2334</issn><eissn>1471-2334</eissn><abstract>Background The survival of coronaviruses are influenced by weather conditions and seasonal coronaviruses are more common in winter months. We examine the seasonality of respiratory infections in England and Wales and the associations between weather parameters and seasonal coronavirus cases. Methods Respiratory virus disease data for England and Wales between 1989 and 2019 was extracted from the Second-Generation Surveillance System (SGSS) database used for routine surveillance. Seasonal coronaviruses from 2012 to 2019 were compared to daily average weather parameters for the period before the patient's specimen date with a range of lag periods. Results The seasonal distribution of 985,524 viral infections in England and Wales (1989-2019) showed coronavirus infections had a similar seasonal distribution to influenza A and bocavirus, with a winter peak between weeks 2 to 8. Ninety percent of infections occurred where the daily mean ambient temperatures were below 10 degrees C; where daily average global radiation exceeded 500 kJ/m(2)/h; where sunshine was less than 5 h per day; or where relative humidity was above 80%. Coronavirus infections were significantly more common where daily average global radiation was under 300 kJ/m(2)/h (OR 4.3; CI 3.9-4.6; p < 0.001); where average relative humidity was over 84% (OR 1.9; CI 3.9-4.6; p < 0.001); where average air temperature was below 10 degrees C (OR 6.7; CI 6.1-7.3; p < 0.001) or where sunshine was below 4 h (OR 2.4; CI 2.2-2.6; p < 0.001) when compared to the distribution of weather values for the same time period. Seasonal coronavirus infections in children under 3 years old were more frequent at the start of an annual epidemic than at the end, suggesting that the size of the susceptible child population may be important in the annual cycle. Conclusions The dynamics of seasonal coronaviruses reflect immunological, weather, social and travel drivers of infection. Evidence from studies on different coronaviruses suggest that low temperature and low radiation/sunlight favour survival. This implies a seasonal increase in SARS-CoV-2 may occur in the UK and countries with a similar climate as a result of an increase in the R-0 associated with reduced temperatures and solar radiation. Increased measures to reduce transmission will need to be introduced in winter months for COVID-19.</abstract><cop>LONDON</cop><pub>Springer Nature</pub><pmid>34702177</pmid><doi>10.1186/s12879-021-06785-2</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-6791-7903</orcidid><orcidid>https://orcid.org/0000-0003-0773-9556</orcidid><orcidid>https://orcid.org/0000-0003-3944-7128</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SpringerNature Journals; PubMed Central; Springer Nature OA/Free Journals; PubMed Central Open Access |
subjects | Air temperature Ambient temperature Analysis Care and treatment Child Child, Preschool Climate Control Coronaviridae Coronavirus Coronaviruses COVID-19 Diagnosis Disease control Disease transmission Epidemics Health aspects Humans Humidity Immunology Infections Infectious Diseases Influenza Influenza A Life Sciences & Biomedicine Low temperature Mortality Pandemics Parameters Public health Radiation measurement Relative humidity Reptiles & amphibians Respiratory diseases Respiratory syncytial virus Respiratory tract infection Respiratory tract infections Respiratory Tract Infections - epidemiology Respiratory viruses Risk factors SARS-CoV-2 Science & Technology Seasonal distribution Seasonal variations Seasonal variations (Diseases) Seasonality Seasons Severe acute respiratory syndrome coronavirus 2 Solar radiation Summer Sunlight Surveillance Survival Travelers Viral diseases Viruses Weather Winter |
title | Coronavirus seasonality, respiratory infections and weather |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-01T07%3A42%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_webof&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Coronavirus%20seasonality,%20respiratory%20infections%20and%20weather&rft.jtitle=BMC%20infectious%20diseases&rft.au=Nichols,%20G.%20L.&rft.date=2021-10-26&rft.volume=21&rft.issue=1&rft.spage=1101&rft.epage=1101&rft.pages=1101-1101&rft.artnum=1101&rft.issn=1471-2334&rft.eissn=1471-2334&rft_id=info:doi/10.1186/s12879-021-06785-2&rft_dat=%3Cgale_webof%3EA681643535%3C/gale_webof%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2599000285&rft_id=info:pmid/34702177&rft_galeid=A681643535&rft_doaj_id=oai_doaj_org_article_5e5b6ddbdae8457bb511bcffb0294339&rfr_iscdi=true |