Meteorological factors, population immunity, and COVID-19 incidence: A global multi-city analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F24%3A00602197" target="_blank" >RIV/68378289:_____/24:00602197 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41330/24:101530
Result on the web
<a href="https://journals.lww.com/environepidem/fulltext/2024/12000/meteorological_factors,_population_immunity,_and.12.aspx" target="_blank" >https://journals.lww.com/environepidem/fulltext/2024/12000/meteorological_factors,_population_immunity,_and.12.aspx</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1097/EE9.0000000000000338" target="_blank" >10.1097/EE9.0000000000000338</a>
Alternative languages
Result language
angličtina
Original language name
Meteorological factors, population immunity, and COVID-19 incidence: A global multi-city analysis
Original language description
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 degrees C, the relative risk of COVID-19 incidence is 1.22-fold higher compared to a reference level at 17 degrees 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10510 - Climatic research
Result continuities
Project
<a href="/en/project/GA22-24920S" target="_blank" >GA22-24920S: Links between weather, epidemics and seasonal mortality patterns</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environmental Epidemiology
ISSN
2474-7882
e-ISSN
2474-7882
Volume of the periodical
8
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
e338
UT code for WoS article
001351735700001
EID of the result in the Scopus database
2-s2.0-85209351364