Fine-scale spatial variability of heat-related mortality in Philadelphia County, USA, from 1983-2008: a case-series analysis

<p>Abstract</p> <p>Background</p> <p>High temperature and humidity conditions are associated with short-term elevations in the mortality rate in many United States cities. Previous research has quantified this relationship in an aggregate manner over large metropolitan...

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Main Authors: Hondula David M (Author), Davis Robert E (Author), Leisten Matthew J (Author), Saha Michael V (Author), Veazey Lindsay M (Author), Wegner Carleigh R (Author)
Format: Book
Published: BMC, 2012-03-01T00:00:00Z.
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001 doaj_5e3d078de58c48408d9242b413b485db
042 |a dc 
100 1 0 |a Hondula David M  |e author 
700 1 0 |a Davis Robert E  |e author 
700 1 0 |a Leisten Matthew J  |e author 
700 1 0 |a Saha Michael V  |e author 
700 1 0 |a Veazey Lindsay M  |e author 
700 1 0 |a Wegner Carleigh R  |e author 
245 0 0 |a Fine-scale spatial variability of heat-related mortality in Philadelphia County, USA, from 1983-2008: a case-series analysis 
260 |b BMC,   |c 2012-03-01T00:00:00Z. 
500 |a 10.1186/1476-069X-11-16 
500 |a 1476-069X 
520 |a <p>Abstract</p> <p>Background</p> <p>High temperature and humidity conditions are associated with short-term elevations in the mortality rate in many United States cities. Previous research has quantified this relationship in an aggregate manner over large metropolitan areas, but within these areas the response may differ based on local-scale variability in climate, population characteristics, and socio-economic factors.</p> <p>Methods</p> <p>We compared the mortality response for 48 Zip Code Tabulation Areas (ZCTAs) comprising Philadelphia County, PA to determine if certain areas are associated with elevated risk during high heat stress conditions. A randomization test was used to identify mortality exceedances for various apparent temperature thresholds at both the city and local scale. We then sought to identify the environmental, demographic, and social factors associated with high-risk areas via principal components regression.</p> <p>Results</p> <p>Citywide mortality increases by 9.3% on days following those with apparent temperatures over 34°C observed at 7:00 p.m. local time. During these conditions, elevated mortality rates were found for 10 of the 48 ZCTAs concentrated in the west-central portion of the County. Factors related to high heat mortality risk included proximity to locally high surface temperatures, low socioeconomic status, high density residential zoning, and age.</p> <p>Conclusions</p> <p>Within the larger Philadelphia metropolitan area, there exists statistically significant fine-scale spatial variability in the mortality response to high apparent temperatures. Future heat warning systems and mitigation and intervention measures could target these high risk areas to reduce the burden of extreme weather on summertime morbidity and mortality.</p> 
546 |a EN 
690 |a Biometeorology 
690 |a Heat waves 
690 |a Climatology 
690 |a Apparent temperature 
690 |a Spatial analysis 
690 |a Heat-health impacts 
690 |a Remote sensing 
690 |a Landsat 
690 |a Industrial medicine. Industrial hygiene 
690 |a RC963-969 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Environmental Health, Vol 11, Iss 1, p 16 (2012) 
787 0 |n http://www.ehjournal.net/content/11/1/16 
787 0 |n https://doaj.org/toc/1476-069X 
856 4 1 |u https://doaj.org/article/5e3d078de58c48408d9242b413b485db  |z Connect to this object online.