Global mortality burden attributable to non-optimal temperatures-Reference-Cited by-同舟云学术

Global mortality burden attributable to non-optimal temperatures

Published:2022-03 Issue:10330 Volume:399 Page:1113
ISSN:0140-6736
Container-title:The Lancet
language:en
Short-container-title:The Lancet

Author:

Vicedo-Cabrera Ana M,Tobias Aurelio,Jaakkola Jouni J K,Honda Yasushi,Hashizume Masahiro,Guo Yuming,Schwartz Joel,Zanobetti Antonella,Bell Michelle L,Armstrong Ben,Katsouyanni Klea,Haines Andy,Ebi Kristie L,Gasparrini Antonio

Publisher

Elsevier BV

Subject

General Medicine

Reference5 articles.

1. Estimating the cause-specific relative risks of non-optimal temperature on daily mortality: a two-part modelling approach applied to the Global Burden of Disease Study;Burkart;Lancet,2021

2. Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study;Zhao;Lancet Planet Health,2021

3. Association between ambient temperature and mortality risk and burden: time series study in 272 main Chinese cities;Chen;BMJ,2018

4. Projections of temperature attributable mortality in Europe: a time series analysis of 147 contiguous regions in 16 countries;Martínez-Solanas;Lancet Planet Health,2021

5. Modelling lagged associations in environmental time series data: a simulation study;Gasparrini;Epidemiology,2016

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1. Variation in under-5 mortality attributable to anomalous precipitation during El Niño–Southern Oscillation cycles: Assessment of the intertemporal inequality in child health;Global Environmental Change;2024-07

2. Global and Regional Cardiovascular Mortality Attributable to Nonoptimal Temperatures Over Time;Journal of the American College of Cardiology;2024-06

3. Emerging extreme heat conditions as part of the new climate normal;Theoretical and Applied Climatology;2023-09-14

4. No Reprieve: Extreme Heat at Night Contributes to Heat Wave Mortality;Environmental Health Perspectives;2023-07

5. The mortality burden of extreme heat in Connecticut: A time series analysis;PLOS Climate;2023-05-17