Estimating inequities in sanitation-related disease burden and estimating the potential impacts of pro-poor targeting

Abstract

The objectives of this study are to model for 10 low-income countries (Kenya, Malawi, Ethiopia, Zambia, Zimbabwe, Ghana, Nigeria, Bangladesh, India and Tanzania) in sub-Saharan Africa and South Asia:

  1. The distribution of sanitation-related health burden by wealth quintile.
  2. The distribution of health benefits for targeting different wealth quintile groups.
  3. The spatial distribution of sanitation-related health burden and benefits.

This work used existing household survey data from the Demographic and Health Surveys for the 10 countries to estimate disparities in sanitation-related services, exposures, susceptibility, burden and impact of infrastructure improvements.

Citation

Rheingans, R.; Cumming, O.; Anderson, J.; Showalter, J. Estimating inequities in sanitation-related disease burden and estimating thepotential impacts of pro-poor targeting. (2012) 49 pp.

Estimating inequities in sanitation-related disease burden and estimating the potential impacts of pro-poor targeting

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