4.7 Article

Estimating the burden of disease attributable to high ambient temperature across climate zones: methodological framework with a case study

期刊

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
卷 52, 期 3, 页码 783-795

出版社

OXFORD UNIV PRESS
DOI: 10.1093/ije/dyac229

关键词

High temperature; burden of disease; methodological framework; climate change

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With the increasing health risk of high temperature due to climate change, it is important to quantify the scale of the problem. However, estimating the burden of disease (BoD) attributable to high temperature can be challenging due to geographical variations in risk patterns and data accessibility issues. This study presents a methodological framework that refines exposure levels using Koppen-Geiger climate zones and estimates the difference between observed burden and theoretical minimum risk exposure distribution (TMRED). It can be used to estimate burdens across climate zones and enhance the reproducibility and transparency of BoD research.
Background With high temperature becoming an increasing health risk due to a changing climate, it is important to quantify the scale of the problem. However, estimating the burden of disease (BoD) attributable to high temperature can be challenging due to differences in risk patterns across geographical regions and data accessibility issues. Methods We present a methodological framework that uses Koppen-Geiger climate zones to refine exposure levels and quantifies the difference between the burden observed due to high temperatures and what would have been observed if the population had been exposed to the theoretical minimum risk exposure distribution (TMRED). Our proposed method aligned with the Australian Burden of Disease Study and included two parts: (i) estimation of the population attributable fractions (PAF); and then (ii) estimation of the BoD attributable to high temperature. We use suicide and self-inflicted injuries in Australia as an example, with most frequent temperatures (MFTs) as the minimum risk exposure threshold (TMRED). Results Our proposed framework to estimate the attributable BoD accounts for the importance of geographical variations of risk estimates between climate zones, and can be modified and adapted to other diseases and contexts that may be affected by high temperatures. Conclusions As the heat-related BoD may continue to increase in the future, this method is useful in estimating burdens across climate zones. This work may have important implications for preventive health measures, by enhancing the reproducibility and transparency of BoD research.

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