Estimating diarrhea mortality among young children in low and middle income countries

Christa L Fischer Walker1, Martin J Aryee, Cynthia Boschi-Pinto

  • 1Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America. cfischer@jhsph.edu

Plos One
|January 12, 2012
PubMed

Insights

Diarrhea is a major cause of death in children under five globally. This study estimates that diarrhea accounts for up to 31.3% of child deaths in Southeast Asia, highlighting the need for better data in low-income countries.

Area of Science:

  • Pediatric mortality research
  • Global health epidemiology
  • Infectious disease burden

Background:

  • Diarrheal diseases are a primary cause of mortality in children under five years old.
  • Accurate mortality data are scarce in low- and middle-income countries, necessitating updated estimates.
  • Understanding the proportion of deaths due to diarrhea is crucial for public health interventions.

Purpose of the Study:

  • To estimate the proportionate mortality attributable to diarrhea in children aged 1-59 months.
  • To develop a model for estimating childhood mortality in countries with limited vital registration data.

Main Methods:

  • A systematic literature review identified studies on diarrhea proportionate mortality (1980-2009).
  • A logistic regression model was built using published estimates and country-level covariates.
  • Monte-Carlo simulations were employed to estimate uncertainty bounds.

Main Results:

  • Over 90 verbal autopsy studies contributed data to a single-cause model.
  • Diarrhea proportionate mortality was estimated for 84 countries across 6 regions.
  • Diarrhea accounted for 10.0% of deaths in the Americas and up to 31.3% in Southeast Asia.

Conclusions:

  • Diarrhea remains a significant cause of death in children aged 1-59 months.
  • Published literature can inform single-cause mortality models for data-poor settings.
  • This approach provides valuable insights into childhood mortality patterns globally.
Abstract

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