Climate change has led to a significant burden of temperature-related hospitalizations due to climate-sensitive diseases. This study examines historical data from 301 cities and over 7,000 hospitals in China to predict future hospitalization risks linked to extreme temperatures until 2100. A nonlinear distributed lag model is used to develop a Hospitalization Burden Economic Index that assesses the impact of carbon emission scenarios. Spatial distribution of risks, disease types, and population age groups have been analyzed, revealing greater risks in northwestern and southwestern China.
Climate change has significantly increased adverse effects on human health, particularly through a higher burden of temperature-related hospitalizations attributed to climate-sensitive diseases. This study identifies historical data across 301 cities in China that indicates future hospitalization risks could escalate due to extreme temperature variations, with projections extending to 2100. The Hospitalization Burden Economic Index is developed to assess this impact under different carbon emission scenarios, particularly showcasing significant risks in the northwestern and southwestern regions.
Historical climate-sensitive disease hospitalization data reveals that extreme temperatures are linked to increased health risks, which vary significantly across urban areas. The analysis across more than 7,000 hospitals indicates the future implications for public health under climate change conditions, with forecasts including the spatial distribution of risk and disease prevalence based on different age groups. Understanding these dynamics is crucial for formulating responses to reduce the expected increase in temperature-related health challenges.
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