Global Population Exposure to Extreme Temperatures and Disease Burden

Bibliographic Data

ID15480968
AuthorsYajie Du (Shandong University), Ming Jing (Qilu University of Technology), Chunyu Lu (0000-0002-0374-9880, Shandong University), Jingru Zong (Shandong University), Ling-Li Wang (0000-0003-2756-5346, Shandong University), Qing Wang (0009-0003-7328-8762, corresponding author)
Year2022
Volume19
Issue20
Pages13288-13288
Publication date2022-10-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph192013288
PMID36293869
OpenAlexW4306382006
LanguageEN
Citations received3
References cited9

The frequency and duration of extreme temperature events continues to increase worldwide. However, the scale of population exposure and its quantitative relationship with health risks remains unknown on a global scale, limiting our ability to identify policy priorities in response to climate change. Based on data from 171 countries between 2010 and 2019, this study estimated the exposure of vulnerable populations to extreme temperatures, and their contemporary and lag associations with disease burden attributed to non-optimal temperatures. Fixed-effects models and dynamic panel models were applied. Increased vulnerable population exposure to extreme temperatures had adverse contemporary effects on the burden of disease attributed to non-optimal temperature. Health risks stemming from extreme cold could accumulate to a greater extent, exhibiting a larger lag effect. Population exposure to extreme cold was mainly distributed in high-income countries, while extreme heat occurred more in low-income and middle-income countries. However, the association between population exposure to extreme cold and burden of disease was much stronger in low-income and middle-income countries than in high-income countries, whereas the effect size of population exposure to extreme heat was similar. Our study highlighted that differential strategies should be determined and implemented according to the characteristics in different countries

Biology · Climate change · Climatology · Disease burden · Distributed lag · Econometrics · Economics · Environmental health · Extreme Cold · Extreme heat · Extreme weather · Global health · Population · Population health · Public health · Air Quality and Health Impacts · Climate Change and Health Impacts · Demography · Global Health Care Issues · Medicine · Ecology

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