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Persistent clusters of mortality in the United States

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Listed:
  • Cossman, J.S.
  • Cossman, R.E.
  • James, W.L.
  • Campbell, C.R.
  • Blanchard, T.C.
  • Cosby, A.G.

Abstract

We explored how place shapes mortality by examining 35 consecutive years of US mortality data. Mapping age-adjusted county mortality rates showed both persistent temporal and spatial clustering of high and low mortality rates. Counties with high mortality rates and counties with low mortality rates both experienced younger population outmigration, had economic decline, and were predominantly rural. These mortality patterns have important implications for proper research model specification and for health resource allocation policies.

Suggested Citation

  • Cossman, J.S. & Cossman, R.E. & James, W.L. & Campbell, C.R. & Blanchard, T.C. & Cosby, A.G., 2007. "Persistent clusters of mortality in the United States," American Journal of Public Health, American Public Health Association, vol. 97(12), pages 2148-2150.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2006.093112_6
    DOI: 10.2105/AJPH.2006.093112
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    Cited by:

    1. Tse-Chuan Yang & Stephen A Matthews, 2015. "Death by Segregation: Does the Dimension of Racial Segregation Matter?," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-26, September.
    2. Tse-Chuan Yang & Leif Jensen, 2015. "Exploring the Inequality-Mortality Relationship in the US with Bayesian Spatial Modeling," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 34(3), pages 437-460, June.
    3. Wesley James & Jeralynn Cossman & Julia Wolf, 2018. "Persistence of death in the United States: The remarkably different mortality patterns between America’s Heartland and Dixieland," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 39(33), pages 897-910.
    4. Thayer Alshaabi & David R Dewhurst & James P Bagrow & Peter S Dodds & Christopher M Danforth, 2021. "The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-20, March.
    5. Shaobin Wang & Zhoupeng Ren, 2019. "Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(5), pages 773-783, June.

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