No Effects of Meteorological Factors on the SARS-CoV-2 Infection Fatality Rate
Previous studies have shown that meteorological factors may increase COVID-19 mortality, likely due to the increased transmission of the virus. However, this could also be related to an increased infection fatality rate (IFR). We investigated the association between meteorological factors (temperatu...
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Veröffentlicht in: | Biomedical and environmental sciences 2021-11, Vol.34 (11), p.871-880 |
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creator | SOLANES, Aleix LAREDO, Carlos GUASP, Mar FULLANA, Miquel Angel FORTEA, Lydia GARCIA-OLIVÉ, Ignasi SOLMI, Marco SHIN, Jae Il URRA, Xabier RADUA, Joaquim |
description | Previous studies have shown that meteorological factors may increase COVID-19 mortality, likely due to the increased transmission of the virus. However, this could also be related to an increased infection fatality rate (IFR). We investigated the association between meteorological factors (temperature, humidity, solar irradiance, pressure, wind, precipitation, cloud coverage) and IFR across Spanish provinces (n = 52) during the first wave of the pandemic (weeks 10–16 of 2020).
We estimated IFR as excess deaths (the gap between observed and expected deaths, considering COVID-19-unrelated deaths prevented by lockdown measures) divided by the number of infections (SARS-CoV-2 seropositive individuals plus excess deaths) and conducted Spearman correlations between meteorological factors and IFR across the provinces.
We estimated 2,418,250 infections and 43,237 deaths. The IFR was 0.03% in < 50-year-old, 0.22% in 50–59-year-old, 0.9% in 60–69-year-old, 3.3% in 70–79-year-old, 12.6% in 80–89-year-old, and 26.5% in ≥ 90-year-old. We did not find statistically significant relationships between meteorological factors and adjusted IFR. However, we found strong relationships between low temperature and unadjusted IFR, likely due to Spain's colder provinces' aging population.
The association between meteorological factors and adjusted COVID-19 IFR is unclear. Neglecting age differences or ignoring COVID-19-unrelated deaths may severely bias COVID-19 epidemiological analyses. |
doi_str_mv | 10.3967/bes2021.120 |
format | Article |
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We estimated IFR as excess deaths (the gap between observed and expected deaths, considering COVID-19-unrelated deaths prevented by lockdown measures) divided by the number of infections (SARS-CoV-2 seropositive individuals plus excess deaths) and conducted Spearman correlations between meteorological factors and IFR across the provinces.
We estimated 2,418,250 infections and 43,237 deaths. The IFR was 0.03% in < 50-year-old, 0.22% in 50–59-year-old, 0.9% in 60–69-year-old, 3.3% in 70–79-year-old, 12.6% in 80–89-year-old, and 26.5% in ≥ 90-year-old. We did not find statistically significant relationships between meteorological factors and adjusted IFR. However, we found strong relationships between low temperature and unadjusted IFR, likely due to Spain's colder provinces' aging population.
The association between meteorological factors and adjusted COVID-19 IFR is unclear. Neglecting age differences or ignoring COVID-19-unrelated deaths may severely bias COVID-19 epidemiological analyses.</description><identifier>ISSN: 0895-3988</identifier><identifier>ISSN: 2214-0190</identifier><identifier>EISSN: 2214-0190</identifier><identifier>DOI: 10.3967/bes2021.120</identifier><identifier>PMID: 34955147</identifier><language>eng</language><publisher>China: Elsevier B.V</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Climate ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - virology ; Humans ; Infection fatality rate ; Medicin och hälsovetenskap ; Meteorological Concepts ; Middle Aged ; Original ; Pandemics - statistics & numerical data ; SARS-CoV-2 ; SARS-CoV-2 - physiology ; Spain - epidemiology ; Temperature ; Weather ; Young Adult</subject><ispartof>Biomedical and environmental sciences, 2021-11, Vol.34 (11), p.871-880</ispartof><rights>2021 The Editorial Board of Biomedical and Environmental Sciences</rights><rights>Copyright © 2021 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><rights>2021 The Editorial Board of Biomedical and Environmental Sciences 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/bes/bes.jpg</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.3967/bes2021.120$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34955147$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:148417308$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>SOLANES, Aleix</creatorcontrib><creatorcontrib>LAREDO, Carlos</creatorcontrib><creatorcontrib>GUASP, Mar</creatorcontrib><creatorcontrib>FULLANA, Miquel Angel</creatorcontrib><creatorcontrib>FORTEA, Lydia</creatorcontrib><creatorcontrib>GARCIA-OLIVÉ, Ignasi</creatorcontrib><creatorcontrib>SOLMI, Marco</creatorcontrib><creatorcontrib>SHIN, Jae Il</creatorcontrib><creatorcontrib>URRA, Xabier</creatorcontrib><creatorcontrib>RADUA, Joaquim</creatorcontrib><title>No Effects of Meteorological Factors on the SARS-CoV-2 Infection Fatality Rate</title><title>Biomedical and environmental sciences</title><addtitle>Biomed Environ Sci</addtitle><description>Previous studies have shown that meteorological factors may increase COVID-19 mortality, likely due to the increased transmission of the virus. However, this could also be related to an increased infection fatality rate (IFR). We investigated the association between meteorological factors (temperature, humidity, solar irradiance, pressure, wind, precipitation, cloud coverage) and IFR across Spanish provinces (n = 52) during the first wave of the pandemic (weeks 10–16 of 2020).
We estimated IFR as excess deaths (the gap between observed and expected deaths, considering COVID-19-unrelated deaths prevented by lockdown measures) divided by the number of infections (SARS-CoV-2 seropositive individuals plus excess deaths) and conducted Spearman correlations between meteorological factors and IFR across the provinces.
We estimated 2,418,250 infections and 43,237 deaths. The IFR was 0.03% in < 50-year-old, 0.22% in 50–59-year-old, 0.9% in 60–69-year-old, 3.3% in 70–79-year-old, 12.6% in 80–89-year-old, and 26.5% in ≥ 90-year-old. We did not find statistically significant relationships between meteorological factors and adjusted IFR. However, we found strong relationships between low temperature and unadjusted IFR, likely due to Spain's colder provinces' aging population.
The association between meteorological factors and adjusted COVID-19 IFR is unclear. Neglecting age differences or ignoring COVID-19-unrelated deaths may severely bias COVID-19 epidemiological analyses.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Climate</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - virology</subject><subject>Humans</subject><subject>Infection fatality rate</subject><subject>Medicin och hälsovetenskap</subject><subject>Meteorological Concepts</subject><subject>Middle Aged</subject><subject>Original</subject><subject>Pandemics - statistics & numerical data</subject><subject>SARS-CoV-2</subject><subject>SARS-CoV-2 - physiology</subject><subject>Spain - epidemiology</subject><subject>Temperature</subject><subject>Weather</subject><subject>Young Adult</subject><issn>0895-3988</issn><issn>2214-0190</issn><issn>2214-0190</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1ks1vEzEQxS0EoqFw4o72wIHLtv5c2xekKmqgUluklvZqOfY4ddmsU3vTqv89jpIAPXCy5fm957HfIPSR4COmO3k8h0IxJUeE4ldoQinhLSYav0YTrLRomVbqAL0r5R5jTjRXb9EB41oIwuUEXV6m5jQEcGNpUmguYISUU58W0dm-mVk3plwrQzPeQXN9cnXdTtNtS5uzYaOJtTCzo-3j-Nxc2RHeozfB9gU-7NZDdDM7_Tn93p7_-HY2PTlvgVM9tp5ix4kPGpxkkghmPbdWkU5z7sEFgbECJYWQkgk7x55RH-ZSOSBBOhHYIWq3vuUJVuu5WeW4tPnZJBvN7uhX3YHhous6VXn9X36Vk_8r2gsJV5xIhjfar1ttBZbgHQxjtv1LixeVId6ZRXo0qtOYUF0NPm8NnuwQ7LAw92mdh_o9ZhcdIRizin3Z3ZPTwxrKaJaxOOh7O0BaF0O7mlh9jsAV_fRvS3962edaAbEFoIbwGCGb4iIMDnzMNTfjUzQEm8387JswdX7YbzAGttU</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>SOLANES, Aleix</creator><creator>LAREDO, Carlos</creator><creator>GUASP, Mar</creator><creator>FULLANA, Miquel Angel</creator><creator>FORTEA, Lydia</creator><creator>GARCIA-OLIVÉ, Ignasi</creator><creator>SOLMI, Marco</creator><creator>SHIN, Jae Il</creator><creator>URRA, Xabier</creator><creator>RADUA, Joaquim</creator><general>Elsevier B.V</general><general>Centre for Psychiatric Research and Education,Department of Clinical Neuroscience,Karolinska Institutet,Stockholm,Sweden</general><general>Biomedical Network Research Centre on Mental Health(CIBERSAM),Instituto de Salud Carlos Ⅲ,Madrid,Spain%Institut d'Investigacions Biomèdiques August Pi i Sunyer(IDIBAPS),Barcelona,Spain</general><general>Adult Psychiatry and Psychology Department,Institute of Neurosciences,Hospital Clinic,Barcelona,Spain</general><general>Pneumology Department,Hospital Germans Trias i Pujol,Badalona,Spain%Neurosciences Department,University of Padua,Padua,Italy,Padua Neuroscience Center,Padua,Italy</general><general>Department of Medicine,University of Barcelona,Barcelona,Spain%Department of Medicine,Autonomous University of Barcelona,Barcelona,Spain</general><general>Neurosciences Unit,Hospital Clínic,Barcelona,Spain%Institut d'Investigacions Biomèdiques August Pi i Sunyer(IDIBAPS),Barcelona,Spain</general><general>Department of Psychiatry and Forensic Medicine,Autonomous University of Barcelona,Barcelona,Spain%Institut d'Investigacions Biomèdiques August Pi i Sunyer(IDIBAPS),Barcelona,Spain%Institut d'Investigacions Biomèdiques August Pi i Sunyer(IDIBAPS),Barcelona,Spain</general><general>Biomedical Network Research Centre on Mental Health(CIBERSAM),Instituto de Salud Carlos Ⅲ,Madrid,Spain</general><general>Institut d'Investigacions Biomèdiques August Pi i Sunyer(IDIBAPS),Barcelona,Spain</general><general>Department of Psychosis Studies,Institute of Psychiatry,Psychology and Neuroscience,King's College London,London,UK%Department of Pediatrics,College of Medicine,Yonsei University,Seoul 03722,Korea%Institut d'Investigacions Biomèdiques August Pi i Sunyer(IDIBAPS),Barcelona,Spain</general><general>Department of Psychosis Studies,Institute of Psychiatry,Psychology and Neuroscience,King's College London,London,UK</general><general>The Editorial Board of Biomedical and Environmental Sciences. Published by Elsevier (Singapore) Pte Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope></search><sort><creationdate>20211101</creationdate><title>No Effects of Meteorological Factors on the SARS-CoV-2 Infection Fatality Rate</title><author>SOLANES, Aleix ; LAREDO, Carlos ; GUASP, Mar ; FULLANA, Miquel Angel ; FORTEA, Lydia ; GARCIA-OLIVÉ, Ignasi ; SOLMI, Marco ; SHIN, Jae Il ; URRA, Xabier ; RADUA, Joaquim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-e429t-d20c41df9ec737153ad4aa816944decf5008e87557735ab0d32dfb78ce1f7c5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Climate</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - virology</topic><topic>Humans</topic><topic>Infection fatality rate</topic><topic>Medicin och hälsovetenskap</topic><topic>Meteorological Concepts</topic><topic>Middle Aged</topic><topic>Original</topic><topic>Pandemics - statistics & numerical data</topic><topic>SARS-CoV-2</topic><topic>SARS-CoV-2 - physiology</topic><topic>Spain - epidemiology</topic><topic>Temperature</topic><topic>Weather</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>SOLANES, Aleix</creatorcontrib><creatorcontrib>LAREDO, Carlos</creatorcontrib><creatorcontrib>GUASP, Mar</creatorcontrib><creatorcontrib>FULLANA, Miquel Angel</creatorcontrib><creatorcontrib>FORTEA, Lydia</creatorcontrib><creatorcontrib>GARCIA-OLIVÉ, Ignasi</creatorcontrib><creatorcontrib>SOLMI, Marco</creatorcontrib><creatorcontrib>SHIN, Jae Il</creatorcontrib><creatorcontrib>URRA, Xabier</creatorcontrib><creatorcontrib>RADUA, Joaquim</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><jtitle>Biomedical and environmental sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>SOLANES, Aleix</au><au>LAREDO, Carlos</au><au>GUASP, Mar</au><au>FULLANA, Miquel Angel</au><au>FORTEA, Lydia</au><au>GARCIA-OLIVÉ, Ignasi</au><au>SOLMI, Marco</au><au>SHIN, Jae Il</au><au>URRA, Xabier</au><au>RADUA, Joaquim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>No Effects of Meteorological Factors on the SARS-CoV-2 Infection Fatality Rate</atitle><jtitle>Biomedical and environmental sciences</jtitle><addtitle>Biomed Environ Sci</addtitle><date>2021-11-01</date><risdate>2021</risdate><volume>34</volume><issue>11</issue><spage>871</spage><epage>880</epage><pages>871-880</pages><issn>0895-3988</issn><issn>2214-0190</issn><eissn>2214-0190</eissn><abstract>Previous studies have shown that meteorological factors may increase COVID-19 mortality, likely due to the increased transmission of the virus. However, this could also be related to an increased infection fatality rate (IFR). We investigated the association between meteorological factors (temperature, humidity, solar irradiance, pressure, wind, precipitation, cloud coverage) and IFR across Spanish provinces (n = 52) during the first wave of the pandemic (weeks 10–16 of 2020).
We estimated IFR as excess deaths (the gap between observed and expected deaths, considering COVID-19-unrelated deaths prevented by lockdown measures) divided by the number of infections (SARS-CoV-2 seropositive individuals plus excess deaths) and conducted Spearman correlations between meteorological factors and IFR across the provinces.
We estimated 2,418,250 infections and 43,237 deaths. The IFR was 0.03% in < 50-year-old, 0.22% in 50–59-year-old, 0.9% in 60–69-year-old, 3.3% in 70–79-year-old, 12.6% in 80–89-year-old, and 26.5% in ≥ 90-year-old. We did not find statistically significant relationships between meteorological factors and adjusted IFR. However, we found strong relationships between low temperature and unadjusted IFR, likely due to Spain's colder provinces' aging population.
The association between meteorological factors and adjusted COVID-19 IFR is unclear. Neglecting age differences or ignoring COVID-19-unrelated deaths may severely bias COVID-19 epidemiological analyses.</abstract><cop>China</cop><pub>Elsevier B.V</pub><pmid>34955147</pmid><doi>10.3967/bes2021.120</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over Climate COVID-19 COVID-19 - epidemiology COVID-19 - virology Humans Infection fatality rate Medicin och hälsovetenskap Meteorological Concepts Middle Aged Original Pandemics - statistics & numerical data SARS-CoV-2 SARS-CoV-2 - physiology Spain - epidemiology Temperature Weather Young Adult |
title | No Effects of Meteorological Factors on the SARS-CoV-2 Infection Fatality Rate |
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