| Titre : | Heat-Health Warning Systems : A Comparison of the Predictive Capacity of Different Approaches to Identifying Dangerously Hot Days. (2010) |
| Auteurs : | Shakoor HAJAT ; Michael-J ALLEN ; Ben-G ARMSTRONG ; Ugis BICKIS ; Denis Bourque ; KOSATSKY (Tom) : CAN. British Columbia Centre for Disease Control. Vancouver. ; LAAIDI (Karine) : FRA. Institut de Veille Sanitaire. Paris. ; Mathilde Pascal ; Scott-C SHERIDAN ; Aurelio Tobias ; Abderrahmane YAGOUTI ; Health Canada. Ottawa. ON. CAN ; Kent State University. Kent. GBR |
| Type de document : | Article |
| Dans : | American journal of public health (vol. 100, n° 6, 2010) |
| Pagination : | 1137-1144 |
| Langues: | Anglais |
| Mots-clés : | Chaleur ; Système santé ; Surveillance ; Etude comparée ; Méthodologie ; Stratégie |
| Résumé : | [BDSP. Notice produite par INIST-CNRS mJqR0xm8. Diffusion soumise à autorisation]. 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. |
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