Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A85652" target="_blank" >RIV/60460709:41330/21:85652 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.thelancet.com/action/showPdf?pii=S2542-5196%2821%2900081-4" target="_blank" >https://www.thelancet.com/action/showPdf?pii=S2542-5196%2821%2900081-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/S2542-5196(21)00081-4" target="_blank" >10.1016/S2542-5196(21)00081-4</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study
Popis výsledku v původním jazyce
Background Exposure to cold or hot temperatures is associated with premature deaths. We aimed to evaluate the global, regional, and national mortality burden associated with non-optimal ambient temperatures. Methods In this modelling study, we collected time-series data on mortality and ambient temperatures from 750 locations in 43 countries and five meta-predictors at a grid size of 0,5 degrees x 0,5 degrees across the globe. A three-stage analysis strategy was used. First, the temperature-mortality association was fitted for each location by use of a time-series regression. Second, a multivariate meta-regression model was built between location-specific estimates and meta-predictors. Finally, the grid-specific temperature-mortality association between 2000 and 2019 was predicted by use of the fitted metaregression and the grid-specific meta-predictors. Excess deaths due to non-optimal temperatures, the ratio between annual excess deaths and all deaths of a year (the excess death ratio), and the dea
Název v anglickém jazyce
Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study
Popis výsledku anglicky
Background Exposure to cold or hot temperatures is associated with premature deaths. We aimed to evaluate the global, regional, and national mortality burden associated with non-optimal ambient temperatures. Methods In this modelling study, we collected time-series data on mortality and ambient temperatures from 750 locations in 43 countries and five meta-predictors at a grid size of 0,5 degrees x 0,5 degrees across the globe. A three-stage analysis strategy was used. First, the temperature-mortality association was fitted for each location by use of a time-series regression. Second, a multivariate meta-regression model was built between location-specific estimates and meta-predictors. Finally, the grid-specific temperature-mortality association between 2000 and 2019 was predicted by use of the fitted metaregression and the grid-specific meta-predictors. Excess deaths due to non-optimal temperatures, the ratio between annual excess deaths and all deaths of a year (the excess death ratio), and the dea
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30304 - Public and environmental health
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
LANCET
ISSN
0140-6736
e-ISSN
2542-5196
Svazek periodika
5
Číslo periodika v rámci svazku
7
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
11
Strana od-do
415-425
Kód UT WoS článku
000675402600007
EID výsledku v databázi Scopus
2-s2.0-85109426619