Urban Heat Risk Mapping Using Multiple Point Patterns in Houston, Texas
提出一种分层标记点过程模型，将多种健康结果（如热应激相关急救电话和死亡率）合并为综合热风险图，以更全面理解休斯顿热风险的空间分布。
Summary Extreme heat, or persistently high temperatures in the form of heatwaves, adversely impacts human health. To study such effects, risk maps are a common epidemiological tool that is used to identify regions and populations that are more susceptible to these negative outcomes; however, the negative health effects of high temperatures are manifested differently between different segments of the population. We propose a novel, hierarchical marked point process model that merges multiple health outcomes into an overall heat risk map. Specifically, we consider health outcomes of heat-stress-related emergency service calls and mortalities across the city of Houston, Texas. We show that combining multiple health outcomes leads to a broader understanding of the spatial distribution of heat risk than a single health outcome.