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No Effects of Meteorological Factors on the SARS-CoV-2 Infection Fatality Rate
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Solanes, Aleix | - |
| dc.contributor.author | Laredo, Carlos | - |
| dc.contributor.author | Guasp, Mar | - |
| dc.contributor.author | Fullana, Miguel Angel | - |
| dc.contributor.author | Fortea, Lydia | - |
| dc.contributor.author | Garcia-Olive, Ignasi | - |
| dc.contributor.author | Solmi, Marco | - |
| dc.contributor.author | Shin, Jae Il | - |
| dc.contributor.author | Urra, Xabier | - |
| dc.contributor.author | Radua, Joaquim | - |
| dc.date.accessioned | 2022-09-14T01:45:49Z | - |
| dc.date.available | 2022-09-14T01:45:49Z | - |
| dc.date.created | 2022-04-28 | - |
| dc.date.issued | 2021-11 | - |
| dc.identifier.issn | 0895-3988 | - |
| dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/190601 | - |
| dc.description.abstract | Objective 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). Methods 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. Results 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. Conclusion 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. | - |
| dc.description.statementOfResponsibility | open | - |
| dc.language | English | - |
| dc.publisher | Chinese Center for Disease Control and Prevention | - |
| dc.relation.isPartOf | Biomedical and Environmental Sciences | - |
| dc.relation.isPartOf | BIOMEDICAL AND ENVIRONMENTAL SCIENCES | - |
| dc.rights | CC BY-NC-ND 2.0 KR | - |
| dc.title | No Effects of Meteorological Factors on the SARS-CoV-2 Infection Fatality Rate | - |
| dc.type | Article | - |
| dc.contributor.college | College of Medicine (의과대학) | - |
| dc.contributor.department | Dept. of Pediatrics (소아과학교실) | - |
| dc.contributor.googleauthor | Solanes, Aleix | - |
| dc.contributor.googleauthor | Laredo, Carlos | - |
| dc.contributor.googleauthor | Guasp, Mar | - |
| dc.contributor.googleauthor | Fullana, Miguel Angel | - |
| dc.contributor.googleauthor | Fortea, Lydia | - |
| dc.contributor.googleauthor | Garcia-Olive, Ignasi | - |
| dc.contributor.googleauthor | Solmi, Marco | - |
| dc.contributor.googleauthor | Shin, Jae Il | - |
| dc.contributor.googleauthor | Urra, Xabier | - |
| dc.contributor.googleauthor | Radua, Joaquim | - |
| dc.identifier.doi | 10.3967/bes2021.120 | - |
| dc.relation.journalcode | J04279 | - |
| dc.identifier.eissn | 2214-0190 | - |
| dc.subject.keyword | Climate | - |
| dc.subject.keyword | COVID-19 | - |
| dc.subject.keyword | Infection fatality rate | - |
| dc.subject.keyword | SARS-CoV-2 | - |
| dc.subject.keyword | Temperature | - |
| dc.subject.keyword | Weather | - |
| dc.contributor.alternativeName | Shin, Jae Il | - |
| dc.contributor.affiliatedAuthor | Shin, Jae Il | - |
| dc.identifier.scopusid | 2-s2.0-85121549175 | - |
| dc.identifier.wosid | 000732454100003 | - |
| dc.citation.volume | 34 | - |
| dc.citation.number | 11 | - |
| dc.citation.startPage | 871 | - |
| dc.citation.endPage | 880 | - |
| dc.identifier.bibliographicCitation | Biomedical and Environmental Sciences, Vol.34(11) : 871-880, 2021-11 | - |
| dc.identifier.rimsid | 73426 | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
| dc.subject.keywordAuthor | Climate | - |
| dc.subject.keywordAuthor | COVID-19 | - |
| dc.subject.keywordAuthor | Infection fatality rate | - |
| dc.subject.keywordAuthor | SARS-CoV-2 | - |
| dc.subject.keywordAuthor | Temperature | - |
| dc.subject.keywordAuthor | Weather | - |
| dc.subject.keywordPlus | MORTALITY | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
| dc.relation.journalWebOfScienceCategory | Public, Environmental & Occupational Health | - |
| dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
| dc.relation.journalResearchArea | Public, Environmental & Occupational Health | - |
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