Locating Health Facilities in Nouna District, Burkina Faso

  • Cara Cocking
  • Steffen Flessa
  • Gerhard Reinelt
Part of the Operations Research Proceedings book series (ORP, volume 2005)


The Nouna health district in Burkina Faso, Africa, has a population of approximately 275,000 people living in 290 villages, who are served by 23 health facilities. At present, the time and effort required in travelling to a health facility (especially during the rainy season) is, for many people, a deterrent to seeking proper medical care. As one step toward improving health care for the people in the district, this study focuses on the problem of optimally locating new health facilities. In light of a government goal that every village should have a health facility within 10 kilometers, the basic model we use for this problem is a covering model, which we then further adapt to the specific situation in Nouna. In this paper we will discuss our application of location analysis techniques to this problem, including an analysis of the current situation, the creation of an appropriate model, solution techniques, and final results.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Kumar N (2004) Changing geographic access to and locational efficiency of health services in two Indian districts between 1981 and 1996. Social Science and Medicine 58:2045–2067PubMedCrossRefGoogle Scholar
  2. 2.
    Mehretu A, Wittick R, Pigozzi B (1983) Spatial Design for Basic Needs in Eastern Upper Volta. The Journal of Developing Areas 17:383–394Google Scholar
  3. 3.
    Oppong J (1996) Accomodating the rainy season in third world location-allocation applications. Socio-Economic Planning Sciences 30:121–137CrossRefGoogle Scholar
  4. 4.
    Pirkul H, Schilling D (1991) The maximal covering location problem with capacities on total workload. Management Science 37:233–248MATHCrossRefGoogle Scholar
  5. 5.
    Rahman S, Smith D (2000) Use of location-allocation models in health service development planning in developing nations. European Journal of Operational Research 123:437–452MATHCrossRefGoogle Scholar
  6. 6.
    Rushton G (1984) Use of location-allocation models for improving the geographical accessibility of rural services in developing countries. International Regional Science Review 9:217–240Google Scholar
  7. 7.
    Su T, Kouyate B, Flessa S (2005) Household cost-of-illness and its determinants in Nouna health district, Burkina Faso. Not yet publishedGoogle Scholar
  8. 8.
    Tien J, El-Tell K (1984) A quasihierarchical location-allocation model for primary health care planning. IEEE Transactions on Systems, Man, and Cybernetics 14:373–380Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Cara Cocking
    • 1
  • Steffen Flessa
    • 2
  • Gerhard Reinelt
    • 1
  1. 1.Institute of Computer ScienceUniversity of HeidelbergHeidelberg
  2. 2.Department of Health Care ManagementUniversity of GreifswaldGreifswald

Personalised recommendations