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Mortality Level and Predictors in a Rural Ethiopian Population: Community Based Longitudinal Study

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  • Berhe Weldearegawi
  • Mark Spigt
  • Yemane Berhane
  • GeertJan Dinant

Abstract

Background: Over the last fifty years the world has seen enormous decline in mortality rates. However, in low-income countries, where vital registration systems are absent, mortality statistics are not easily available. The recent economic growth of Ethiopia and the parallel large scale healthcare investments make investigating mortality figures worthwhile. Methods: Longitudinal health and demographic surveillance data collected from September 11, 2009 to September 10, 2012 were analysed. We computed incidence of mortality, overall and stratified by background variables. Poisson regression was used to test for a linear trend in the standardized mortality rates. Cox-regression analysis was used to identify predictors of mortality. Households located at

Suggested Citation

  • Berhe Weldearegawi & Mark Spigt & Yemane Berhane & GeertJan Dinant, 2014. "Mortality Level and Predictors in a Rural Ethiopian Population: Community Based Longitudinal Study," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-7, March.
    • Handle: RePEc:plo:pone00:0093099
    DOI: 10.1371/journal.pone.0093099
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    References listed on IDEAS

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    1. Prabhat Jha, 2006. "Prospective Study of One Million Deaths in India: Rationale, Design, and Validation Results," Working Papers id:669, eSocialSciences.
    2. Peter Byass, 2009. "The Unequal World of Health Data," Working Papers id:2303, eSocialSciences.
    3. Peter Byass, 2009. "The Unequal World of Health Data," PLOS Medicine, Public Library of Science, vol. 6(11), pages 1-3, November.
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