ArticleInternational journal of health geographics2011
Modelling the variation of land surface temperature as determinant of risk of heat-related health events.
Article in International journal of health geographics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Indoor overheating: A review of vulnerabilities, causes, and strategies to prevent adverse human health outcomes during extreme heat events.Temperature (Austin, Tex.) · 2024Review
- Spatially Explicit Modeling of Anthropogenic Heat Intensity in Beijing Center Area: An Investigation of Driving Factors with Urban Spatial Forms.Sensors (Basel, Switzerland) · 2023Article
- Spatial Modeling and Analysis of Heat-Related Morbidity in Maricopa County, Arizona.Journal of urban health : bulletin of the New York Academy of Medicine · 2021Article
- Appraisal of the heat vulnerability index in Punjab: a case study of spatial pattern for exposure, sensitivity, and adaptive capacity in megacity Lahore, Pakistan.International journal of biometeorology · 2019Article
- A Geographical Analysis of Emergency Medical Service Calls and Extreme Heat in King County, WA, USA (2007-2012).International journal of environmental research and public health · 2017Article
- County-level heat vulnerability of urban and rural residents in Tibet, China.Environmental health : a global access science source · 2016Article
- Urban-hazard risk analysis: mapping of heat-related risks in the elderly in major Italian cities.PloS one · 2015Article
- Article
- Assessment of the temperature effect on childhood diarrhea using satellite imagery.Scientific reports · 2014Article
- Validating satellite-derived land surface temperature with in situ measurements: a public health perspective.Environmental health perspectives · 2013Article
- Mapping heatwave health risk at the community level for public health action.International journal of health geographics · 2012Article
- Geostatistical exploration of spatial variation of summertime temperatures in the Detroit metropolitan region.Environmental research · 2011Article
- An open source web application for the surveillance and prevention of the impacts on public health of extreme meteorological events: the SUPREME system.International journal of health geographics · 2011Article
- São Paulo urban heat islands have a higher incidence of dengue than other urban areas.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious DiseasesArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe evaluation of exposure to ambient temperatures in epidemiological studies has generally been based on records from meteorological stations which may not adequately represent local temperature variability. Here we propose a spatially explicit model to estimate local exposure to temperatures of large populations under various meteorological conditions based on satellite and meteorological data.
methodsA general linear model was used to estimate surface temperatures using 15 LANDSAT 5 and LANDSAT 7 images for Quebec Province, Canada between 1987 and 2002 and spanning the months of June to August. The images encompassed both rural and urban landscapes and predictors included: meteorological records of temperature and wind speed, distance to major water bodies, Normalized Differential Vegetation Index (NDVI), land cover (built and bare land, water, or vegetation), latitude, longitude, and week of the year.
resultsThe model explained 77% of the variance in surface temperature, accounting for both temporal and spatial variations. The standard error of estimates was 1.42°C. Land cover and NDVI were strong predictors of surface temperature.
conclusionsThis study suggests that a statistical approach to estimating surface temperature incorporating both spatially explicit satellite data and time-varying meteorological data may be relevant to assessing exposure to heat during the warm season in the Quebec. By allowing the estimation of space- and time-specific surface temperatures, this model may also be used to assess the possible impacts of land use changes under various meteorological conditions. It can be applied to assess heat exposure within a large population and at relatively fine-grained scale. It may be used to evaluate the acute health effect of heat exposure over long time frames. The method proposed here could be replicated in other areas around the globe for which satellite data and meteorological data is available.
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