Literature DB >> 20395585

Heat-health warning systems: a comparison of the predictive capacity of different approaches to identifying dangerously hot days.

Shakoor Hajat1, Scott C Sheridan, Michael J Allen, Mathilde Pascal, Karine Laaidi, Abderrahmane Yagouti, Ugis Bickis, Aurelio Tobias, Denis Bourque, Ben G Armstrong, Tom Kosatsky.   

Abstract

OBJECTIVES: We compared the ability of several heat-health warning systems to predict days of heat-associated mortality using common data sets.
METHODS: Heat-health warning systems initiate emergency public health interventions once forecasts have identified weather conditions to breach predetermined trigger levels. We examined 4 commonly used trigger-setting approaches: (1) synoptic classification, (2) epidemiologic assessment of the temperature-mortality relationship, (3) temperature-humidity index, and (4) physiologic classification. We applied each approach in Chicago, Illinois; London, United Kingdom; Madrid, Spain; and Montreal, Canada, to identify days expected to be associated with the highest heat-related mortality.
RESULTS: We found little agreement across the approaches in which days were identified as most dangerous. In general, days identified by temperature-mortality assessment were associated with the highest excess mortality.
CONCLUSIONS: Triggering of alert days and ultimately the initiation of emergency responses by a heat-health warning system varies significantly across approaches adopted to establish triggers.

Mesh:

Year:  2010        PMID: 20395585      PMCID: PMC2866620          DOI: 10.2105/AJPH.2009.169748

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  17 in total

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  44 in total

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5.  The predictability of heat-related mortality in Prague, Czech Republic, during summer 2015-a comparison of selected thermal indices.

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