ArticleInternational journal of environmental research and public health2017
A Geographical Analysis of Emergency Medical Service Calls and Extreme Heat in King County, WA, USA (2007-2012).
Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Thermal indices for assessing the impact of outdoor thermal environments on human health: a systematic review of epidemiological studies.International journal of biometeorology · 2025Pooled it
- Preparing for a hotter climate: A systematic review and meta-analysis of heatwaves and ambulance callouts in Australia.Australian and New Zealand journal of public health · 2024Pooled it
- Heat, heatwaves, and ambulance service use: a systematic review and meta-analysis of epidemiological evidence.International journal of biometeorology · 2023Pooled it
- Rising Temperatures, Rising Calls: Environmental Heat's Burden on EMS in Boston at the City and Neighborhood Scales.Journal of urban health : bulletin of the New York Academy of Medicine · 2026Article
- Article
- Associations between Perceptions and Measures of Weather and Walking, United States-2015.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This research analyzed the relationship between extreme heat and Emergency Medical Service (EMS) calls in King County, WA, USA between 2007 and 2012, including the effect of community-level characteristics. Extreme heat thresholds for the Basic Life Support (BLS) data and the Advanced Life Support (ALS) data were found using a piecewise generalized linear model with Akaike Information Criterion (AIC). The association between heat exposure and EMS call rates was investigated using a generalized estimating equations with Poisson mean model, while adjusting for community-level indicators of poverty, impervious surface, and elderly population (65+). In addition, we examined the effect modifications of these community-level factors. Extreme-heat thresholds of 31.1 °C and 33.5 °C humidex were determined for the BLS and ALS data, respectively. After adjusting for other variables in the model, increased BLS call volume was significantly associated with occurring on a heat day (relative rate (RR) = 1.080,
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Registered trials
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