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Meteorological factors, population immunity, and COVID-19 incidence: A global multi-city analysis
D. Feurer, T. Riffe, MS. Kniffka, E. Acosta, B. Armstrong, M. Mistry, R. Lowe, D. Royé, M. Hashizume, L. Madaniyazi, CFS. Ng, A. Tobias, C. Íñiguez, AM. Vicedo-Cabrera, MS. Ragettli, E. Lavigne, PM. Correa, NV. Ortega, J. Kyselý, A. Urban, H....
Status neindexováno Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2018
PubMed Central
od 2019
ROAD: Directory of Open Access Scholarly Resources
od 2017
- Publikační typ
- časopisecké články MeSH
OBJECTIVES: While COVID-19 continues to challenge the world, meteorological variables are thought to impact COVID-19 transmission. Previous studies showed evidence of negative associations between high temperature and absolute humidity on COVID-19 transmission. Our research aims to fill the knowledge gap on the modifying effect of vaccination rates and strains on the weather-COVID-19 association. METHODS: Our study included COVID-19 data from 439 cities in 22 countries spanning 3 February 2020 - 31 August 2022 and meteorological variables (temperature, relative humidity, absolute humidity, solar radiation, and precipitation). We used a two-stage time-series design to assess the association between meteorological factors and COVID-19 incidence. For the exposure modeling, we used distributed lag nonlinear models with a lag of up to 14 days. Finally, we pooled the estimates using a random effect meta-analytic model and tested vaccination rates and dominant strains as possible effect modifiers. RESULTS: Our results showed an association between temperature and absolute humidity on COVID-19 transmission. At 5 °C, the relative risk of COVID-19 incidence is 1.22-fold higher compared to a reference level at 17 °C. Correlated with temperature, we observed an inverse association for absolute humidity. We observed a tendency of increased risk on days without precipitation, but no association for relative humidity and solar radiation. No interaction between vaccination rates or strains on the weather-COVID-19 association was observed. CONCLUSIONS: This study strengthens previous evidence of a relationship of temperature and absolute humidity with COVID-19 incidence. Furthermore, no evidence was found that vaccinations and strains significantly modify the relationship between environmental factors and COVID-19 transmission.
Barcelona Supercomputing Center Barcelona Spain
Catalan Institution for Research and Advanced Studies Barcelona Spain
Center for Climate Change Adaptation National Institute for Environmental Studies Tsukuba Japan
Centre d'Estudis Demogràfics Bellaterra Spain
Climate Research Foundation Madrid Spain
Department of Earth Sciences University of Torino Italy
Department of Economics Ca' Foscari University of Venice Venice Italy
Department of Environmental Health National Institute of Public Health Cuernavaca Morelos Mexico
Department of Environmental Health Rollins School of Public Health Emory University Atlanta USA
Department of Epidemiology Lazio Regional Health Service Rome Italy
Department of Global Health Policy Graduate School of Medicine The University of Tokyo Tokyo Japan
Department of Hygiene Graduate School of Medicine Hokkaido University Sapporo Japan
Department of Public Health Universidad de los Andes Santiago Chile
Department of Statistics and Computational Research Universitat de València València Spain
Environmental Health Science and Research Bureau Health Canada Ottawa Canada
Estonian Environmental Research Centre Tallinn Estonia
Faculty of Environmental Sciences Czech University of Life Sciences Prague Czech Republic
Faculty of Geography Babes Bolyai University Cluj Napoca Romania
Faculty of Health and Sport Sciences University of Tsukuba Tsukuba Japan
Institute of Advanced Studies University of São Paulo São Paulo Brazil
Institute of Atmospheric Physics of the Czech Academy of Sciences Prague Czech Republic
Institute of Environmental Assessment and Water Research Barcelona Spain
Institute of Family Medicine and Public Health University of Tartu Tartu Estonia
Institute of Social and Preventive Medicine University of Bern Bern Switzerland
Institute of Tropical Medicine Alexander von Humboldt Universidad Peruana Cayetano Heredia Lima Peru
Interdepartmental Research Center of Geomatics University of Padua Padua Italy
Korea University Seoul South Korea
Max Planck Institute for Demographic Research Rostock Germany
National Institute of Environmental Health China CDC Beijing China
Norwegian Institute of Public Health Oslo Norway
Oeschger Center for Climate Change Research University of Bern Bern Switzerland
School of Biomedical Convergence Engineering Pusan National University
School of Epidemiology and Public Health Faculty of Medicine University of Ottawa Ottawa Canada
School of Public Health and Social Work Queensland University of Technology Brisbane Australia
School of the Environment Yale University New Haven CT USA
School of Tropical Medicine and Global Health Nagasaki University Japan
Swiss Tropical and Public Health Institute Allschwil Switzerland
Unit of Biostatistics Epidemiology and Public Health University of Padua Padua Italy
Citace poskytuje Crossref.org
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- $a Feurer, Denise $u Unit of Biostatistics, Epidemiology and Public Health (UBEP), University of Padua, Padua, Italy $u Interdepartmental Research Center of Geomatics (CIRGEO), University of Padua, Padua, Italy $1 https://orcid.org/0009000145734302
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- $a Meteorological factors, population immunity, and COVID-19 incidence: A global multi-city analysis / $c D. Feurer, T. Riffe, MS. Kniffka, E. Acosta, B. Armstrong, M. Mistry, R. Lowe, D. Royé, M. Hashizume, L. Madaniyazi, CFS. Ng, A. Tobias, C. Íñiguez, AM. Vicedo-Cabrera, MS. Ragettli, E. Lavigne, PM. Correa, NV. Ortega, J. Kyselý, A. Urban, H. Orru, E. Indermitte, M. Maasikmets, M. Dallavalle, A. Schneider, Y. Honda, B. Alahmad, A. Zanobetti, J. Schwartz, G. Carrasco, IH. Holobâca, H. Kim, W. Lee, ML. Bell, N. Scovronick, F. Acquaotta, MSZS. Coélho, MH. Diaz, EEF. Arellano, P. Michelozzi, M. Stafoggia, F. de'Donato, S. Rao, F. Di Ruscio, X. Seposo, Y. Guo, S. Tong, P. Masselot, A. Gasparrini, F. Sera
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