The impact of heat islands on mortality in Paris during the august 2003 heat wave

Autor: Abdelkrim Zeghnoun, Karine Laaidi, Pascal Beaudeau, Stéphanie Vandentorren, B. Dousset, Emmanuel Giraudet, Philippe Bretin
Přispěvatelé: Département santé environnement, Institut de Veille Sanitaire (INVS), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN), University of Hawai‘i [Mānoa] (UHM), Littoral, Environnement, Télédétection, Géomatique (LETG - Brest), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Cuq, Véronique
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Male
Percentile
Hot Temperature
010504 meteorology & atmospheric sciences
Health
Toxicology and Mutagenesis

urban heat islands
010501 environmental sciences
01 natural sciences
Residence Characteristics
Risk Factors
11. Sustainability
Odds Ratio
Urban heat island
Aged
80 and over

3. Good health
climate change
Female
Risk assessment
heat wave
medicine.medical_specialty
Paris
Advanced very-high-resolution radiometer
Heat Stroke
satellite imagery
Risk Assessment
urban planning
nightime temperature
medicine
Humans
Weather
0105 earth and related environmental sciences
Aged
Public health
Research
Diurnal temperature variation
Public Health
Environmental and Occupational Health

Urban Health
Odds ratio
mortality
[SDE.ES]Environmental Sciences/Environmental and Society
Confidence interval
Logistic Models
nighttime temperature
13. Climate action
Case-Control Studies
Multivariate Analysis
Environmental science
[SDE.ES] Environmental Sciences/Environmental and Society
Demography
Zdroj: Environmental Health Perspectives
Environmental Health Perspectives, National Institute of Environmental Health Sciences, 2012, 120 (2), pp.254-259
ISSN: 0091-6765
1552-9924
Popis: Background: Heat waves have a drastic impact on urban populations, which could increase with climate change. Objectives: We evaluated new indicators of elderly people’s exposure to heat in Paris, from a public health prevention perspective, using satellite thermal images. Methods: We used a time series of 61 images from the satellites of the National Oceanic and Atmospheric Administration’s (NOAA) Advanced Very High Resolution Radiometer (AVHRR) taken from 1 to 13 August 2003 to produce thermal indicators of minimum, maximum, and mean surface temperatures and diurnal temperature amplitude, with different lags between the meteorological data and the health impact. Health data came from a case–control study involving 241 people ≥ 65 years of age who died in the city of Paris or the nearby suburban area of Val-de-Marne during the August 2003 heat wave, and 241 controls who were matched to cases on age, sex, and residential zone. For each person, we integrated the thermal indicators in a conditional logistic regression model, adjusted for age and other potential confounders. We computed odds ratios (ORs) comparing the 90th and 50th percentiles of the temperature differences between cases and controls for various indicators. Results: Mortality risk was significantly associated with exposure for two indicators: minimum temperatures averaged for 1–13 August [for a 0.41°C increase, OR = 2.17; 95% confidence interval (CI): 1.14, 4.16] and minimum temperature averaged on the day of death and the 6 preceding days (for a 0.51°C increase: OR = 2.24; 95% CI: 1.03, 4.87). Conclusions: Our results support the influence of night temperatures on the health impact of heat waves in urban areas. Urban heat exposure indicators based on satellite imagery have the potential to identify areas with higher risk of death, which could inform intervention decisions by key stakeholders.
Databáze: OpenAIRE