Evaluation of the French Heat Health Watch Warning System

Laaidi, Karine; Baffert, Elsa; Etchevers, A; Empereur‐Bissonnet, Pascal; Charlemagne, A; Ledrans, Martine

doi:10.1097/00001648-200611001-01138

Cited by 1 publication

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“…Such "threshold levels" will be helpful for policymakers to initiate 'region and disease specific' climate mitigation plans (Laaidi et al, 2006). For the same reason, it will be also possible to identify spatial hot spots and the areas and population most sensitive climate change, eventually leading towards a diversified health warning system tailored to specific climate zones and populations.…”

Section: Discussionmentioning

confidence: 99%

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Towards a threshold climate for emergency lower respiratory hospital admissions

Islam

Chaussalet

Koizumi

2017

Environmental Research

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Identification of 'cut-points' or thresholds of climate factors would play a crucial role in alerting risks of climate change and providing guidance to policymakers. This study investigated 2 a 'Climate Threshold' for emergency hospital admissions of chronic lower respiratory diseases by using a distributed lag non-linear model (DLNM). We analysed a unique longitudinal dataset relative humidity (≤ 40%), high Pm10 level (≥70-µg/m 3 ), low wind speed (≤ 2 knots) and high rainfall (≥30mm). Beyond the threshold values, a significantly higher number of emergency admissions due to lower respiratory problems would be expected within the following 2-3 days after the climate shift in the Greater London. The approach will be useful to initiate 'region and disease specific' climate mitigation plans. It will help identify spatial hot spots and the most sensitive areas and population due to climate change, and will eventually lead towards a diversified health warning system tailored to specific climate zones and populations.

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Section: Discussionmentioning

confidence: 99%

“…This final model is applied to this unique dataset. A disease and region specific heath alert system emerging from such threshold climate could lead to a more robust health care system and play an important role in the event of any sudden changes in climate factors (Laaidi et al, 2006).…”

Section: Introductionmentioning

confidence: 99%