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Spatial Patterns of Natural Hazards Mortality in the United States

Overview
Publisher Biomed Central
Date 2008 Dec 19
PMID 19091058
Citations 28
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Abstract

Background: Studies on natural hazard mortality are most often hazard-specific (e.g. floods, earthquakes, heat), event specific (e.g. Hurricane Katrina), or lack adequate temporal or geographic coverage. This makes it difficult to assess mortality from natural hazards in any systematic way. This paper examines the spatial patterns of natural hazard mortality at the county-level for the U.S. from 1970-2004 using a combination of geographical and epidemiological methods.

Results: Chronic everyday hazards such as severe weather (summer and winter) and heat account for the majority of natural hazard fatalities. The regions most prone to deaths from natural hazards are the South and intermountain west, but sub-regional county-level mortality patterns show more variability. There is a distinct urban/rural component to the county patterns as well as a coastal trend. Significant clusters of high mortality are in the lower Mississippi Valley, upper Great Plains, and Mountain West, with additional areas in west Texas, and the panhandle of Florida, Significant clusters of low mortality are in the Midwest and urbanized Northeast.

Conclusion: There is no consistent source of hazard mortality data, yet improvements in existing databases can produce quality data that can be incorporated into spatial epidemiological studies as demonstrated in this paper. It is important to view natural hazard mortality through a geographic lens so as to better inform the public living in such hazard prone areas, but more importantly to inform local emergency practitioners who must plan for and respond to disasters in their community.

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References
1.
James W, Cossman R, Cossman J, Campbell C, Blanchard T . A brief visual primer for the mapping of mortality trend data. Int J Health Geogr. 2004; 3(1):7. PMC: 400752. DOI: 10.1186/1476-072X-3-7. View

2.
Peek-Asa C, Ramirez M, Shoaf K, SELIGSON H, Kraus J . GIS mapping of earthquake-related deaths and hospital admissions from the 1994 Northridge, California, Earthquake. Ann Epidemiol. 2000; 10(1):5-13. DOI: 10.1016/s1047-2797(99)00058-7. View

3.
Devesa S, Grauman D, Blot W, Fraumeni Jr J . Cancer surveillance series: changing geographic patterns of lung cancer mortality in the United States, 1950 through 1994. J Natl Cancer Inst. 1999; 91(12):1040-50. DOI: 10.1093/jnci/91.12.1040. View

4.
Kalkstein L . A new approach to evaluate the impact of climate on human mortality. Environ Health Perspect. 1991; 96:145-50. PMC: 1568248. DOI: 10.1289/ehp.9196145. View

5.
Osnes K . Iterative random aggregation of small units using regional measures of spatial autocorrelation for cluster localization. Stat Med. 1999; 18(6):707-25. DOI: 10.1002/(sici)1097-0258(19990330)18:6<707::aid-sim73>3.0.co;2-1. View