No. 2, April 2004
SPECIAL TOPICS IN PUBLIC HEALTH
ORIGINAL RESEARCH: FEATURED
ABSTRACT FROM THE 18TH NATIONAL CONFERENCE ON CHRONIC DISEASE
PREVENTION AND CONTROL
The Spatial Analysis of CVD
Mortality in a Tri-county Area of Mississippi
L Zhang, A Penman, C Haydel, V Sutton, V Kamali, P Fos
Suggested citation for this article: Zhang L,
Penman A, Haydel C, Sutton V, Kamali V, Fos P. The spatial analysis of CVD
mortality in a tri-county area of Mississippi [abstract]. Prev Chronic Dis
[serial online] 2004 Apr [date cited]. Available from: URL: http://www.cdc.gov/pcd/issues/2004/
The geographic distribution and spatial pattern of cardiovascular disease
(CVD) mortality was investigated in Hinds, Rankin, and Madison counties in
Mississippi from 1997 to 2000. The analysis of geographic distribution of disease mortality has an
important role to play in public health and epidemiological studies.
The 1997–2000 CVD mortality data in Hinds, Rankin, and Madison counties
with residential addresses were obtained from Mississippi vital statistics
and geocoded to the census block groups using ArcView software. Because
of the small number of CVD deaths in each block group, the geocoded
records were aggregated to the related census tract. Kernel density
estimator was used to calculate annual CVD mortality for each census
tract. A geographically weighted regression method was used to analyze the
spatial pattern of CVD mortality in the tri-county area.
For most census tracts, the changes in population density did not explain
the changes in CVD death density, suggesting that the high rates were real and
not an artifact of population change. The changes in CVD mortality over time were
not significant for most census tracts.
These results may be useful in suggesting hypotheses for further study
related to environmental factors and socioeconomic status.
Corresponding Author: Lei Zhang, Business Systems Analyst II,
Mississippi State Department of Health, 570 E Woodrow Wilson Ave, Jackson, MS 39215.
Telephone: 601-576-7112. E-mail: email@example.com.
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