ArticleInternational journal of health geographics2018
Spatially explicit assessment of heat health risk by using multi-sensor remote sensing images and socioeconomic data in Yangtze River Delta, China.
Article in International journal of health geographics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Spatial assessment of heat risk from deregulation of greenbelt in Seoul, South Korea.Scientific reports · 2026Article
- Climate and socioeconomic factors drive heterogeneous dengue risk escalation in the Chinese population.Communications medicine · 2026Article
- Heat health assessment and risk simulation prediction in eastern China: a geospatial analysis.Frontiers in public health · 2025Article
- Climate-related health impact indicators for public health surveillance in a changing climate: a systematic review and local suitability analysis.Lancet regional health. Americas · 2024Review
- Shared insights for heat health risk adaptation in metropolitan areas of developing countries.iScience · 2024Article
- Variations of Urban Thermal Risk with Local Climate Zones.International journal of environmental research and public health · 2023Article
- Spatiotemporal Variation Analysis of the Fine-Scale Heat Wave Risk along the Jakarta-Bandung High-Speed Railway in Indonesia.International journal of environmental research and public health · 2021Article
- Mapping Heat-Related Risks in Northern Jiangxi Province of China Based on Two Spatial Assessment Frameworks Approaches.International journal of environmental research and public health · 2020Article
- A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia.International journal of environmental research and public health · 2018Article
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5 authors.
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Abstract
backgroundThe increase in the frequency and intensity of extreme heat events, which are potentially associated with climate change in the near future, highlights the importance of heat health risk assessment, a significant reference for heat-related death reduction and intervention. However, a spatiotemporal mismatch exists between gridded heat hazard and human exposure in risk assessment, which hinders the identification of high-risk areas at finer scales.
methodsA human settlement index integrated by nighttime light images, enhanced vegetation index, and digital elevation model data was utilized to assess the human exposure at high spatial resolution. Heat hazard and vulnerability index were generated by land surface temperature and demographic and socioeconomic census data, respectively. Spatially explicit assessment of heat health risk and its driving factors was conducted in the Yangtze River Delta (YRD), east China at 250 m pixel level.
resultsHigh-risk areas were mainly distributed in the urbanized areas of YRD, which were mostly driven by high human exposure and heat hazard index. In some less-urbanized cities and suburban and rural areas of mega-cities, the heat health risks are in second priority. The risks in some less-developed areas were high despite the low human exposure index because of high heat hazard and vulnerability index.
conclusionsThis study illustrated a methodology for identifying high-risk areas by combining freely available multi-source data. Highly urbanized areas were considered hotspots of high heat health risks, which were largely driven by the increasing urban heat island effects and population density in urban areas. Repercussions of overheating were weakened due to the low social vulnerability in some central areas benefitting from the low proportion of sensitive population or the high level of socioeconomic development. By contrast, high social vulnerability intensifies heat health risks in some less-urbanized cities and suburban areas of mega-cities.
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