Association between ambient temperature and genitourinary mortality in Thailand: a nationwide ecological time-series study
Association between ambient temperature and genitourinary mortality in Thailand: a nationwide ecological time-series study
About Project
Climate change is increasing the frequency, intensity, and duration of extreme heat events worldwide, posing growing risks to human health. Heat exposure has been linked to adverse kidney outcomes through dehydration, reduced kidney perfusion, electrolyte imbalance, and increased risk of acute kidney injury. While international evidence suggests that both extreme heat and cold temperatures may contribute to kidney-related morbidity and mortality, evidence from Thailand remains limited, particularly at the national level. Understanding the relationship between temperature and kidney-related health outcomes is essential for developing effective climate adaptation measures and protecting vulnerable populations.
“Association between ambient temperature and genitourinary mortality in Thailand: a nationwide ecological time-series study,” aims to assess the relationship between ambient temperature and mortality from diseases of the genitourinary system (ICD-10 codes N17-N98) across Thailand. The study analyzes mortality, population, and environmental data from all 77 provinces between 2015 and 2024 to examine the impacts of both temperature variability and extreme heat events on mortality. Particular attention is given to vulnerable populations, including older adults, and to understanding how temperature-related health risks vary by age and sex.
Using nationwide mortality data from the Ministry of Public Health and temperature data derived from ERA5 climate dataset, the project employs ecological time-series methods to estimate the associations between temperature exposure and mortality outcomes. In addition to evaluating non-linear temperature-mortality relationships, the study examines the effects of extreme heat indicators and heatwave conditions, while conducting sensitivity analyses to ensure the robustness of findings.
Research Team
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