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Meteorological factors, population immunity, and COVID-19 incidence: A global multi-city analysis

Identifikátory výsledku

  • Kód výsledku v 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>

  • Nalezeny alternativní kódy

    RIV/60460709:41330/24:101530

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Meteorological factors, population immunity, and COVID-19 incidence: A global multi-city analysis

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    Meteorological factors, population immunity, and COVID-19 incidence: A global multi-city analysis

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10510 - Climatic research

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GA22-24920S" target="_blank" >GA22-24920S: Vztahy mezi počasím, epidemiemi a sezónním chodem úmrtnosti</a><br>

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Environmental Epidemiology

  • ISSN

    2474-7882

  • e-ISSN

    2474-7882

  • Svazek periodika

    8

  • Číslo periodika v rámci svazku

    6

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    11

  • Strana od-do

    e338

  • Kód UT WoS článku

    001351735700001

  • EID výsledku v databázi Scopus

    2-s2.0-85209351364