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Enabling methods for community health mapping in developing countries.

Rashid Ansumana1, Anthony P Malanoski, Alfred S Bockarie

  • 1Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, DC 20375, USA.

International Journal of Health Geographics
|November 2, 2010
PubMed
Summary
This summary is machine-generated.

Community-based participatory geographic information system (PGIS) mapping in Sierra Leone rapidly defined neighborhood boundaries and improved population estimates for health planning. This approach enhances spatial epidemiology in developing countries.

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Area of Science:

  • Spatial epidemiology
  • Geographic Information Systems (GIS)
  • Community-based participatory research

Background:

  • Spatial epidemiology faces challenges in developing countries due to limited digitized maps, address systems, and population data.
  • Participatory geographic information system (PGIS) techniques offer a viable community-based approach to gather essential spatial data.

Purpose of the Study:

  • To demonstrate the utility of PGIS for health and community development in resource-limited settings.
  • To adapt and apply PGIS methods for generating municipal maps and population data in Sierra Leone.

Main Methods:

  • Employed a community-based mapping approach utilizing participatory geographic information system (PGIS) techniques.
  • Rapidly determined neighborhood boundaries in Bo, Sierra Leone.
  • Combined PGIS data with hospital laboratory visit records to establish a hospital catchment area and conducted household surveys.

Main Results:

  • Successfully delineated neighborhood boundaries in Bo, Sierra Leone, enabling the establishment of a hospital catchment area.
  • Household surveys revealed an average of 17.5 inhabitants per residential building, differing from census data and crucial for accurate population estimation using remote sensing.
  • Validated average household population size against existing census data.

Conclusions:

  • The developed PGIS methods provide a replicable model for community involvement in municipal mapping.
  • Demonstrated the effectiveness of PGIS in generating critical data for health and community development initiatives in developing nations.