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
Hauptverfasser: SOLANES, Aleix, LAREDO, Carlos, GUASP, Mar, FULLANA, Miquel Angel, FORTEA, Lydia, GARCIA-OLIVÉ, Ignasi, SOLMI, Marco, SHIN, Jae Il, URRA, Xabier, RADUA, Joaquim
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container_issue 11
container_start_page 871
container_title Biomedical and environmental sciences
container_volume 34
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
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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 &lt; 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. 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Published by China CDC. All rights reserved.</rights><rights>Copyright © Wanfang Data Co. Ltd. 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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 &lt; 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. 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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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