Volume 87, Issue 6
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645



Evidence shows that malaria risk maps are rarely tailored to address national control program ambitions. Here, we generate a malaria risk map adapted for malaria control in Sudan. Community parasite rate (PR) data from 2000 to 2010 were assembled and were standardized to 2–10 years of age (PR). Space-time Bayesian geostatistical methods were used to generate a map of malaria risk for 2010. Surfaces of aridity, urbanization, irrigation schemes, and refugee camps were combined with the PR map to tailor the epidemiological stratification for appropriate intervention design. In 2010, a majority of the geographical area of the Sudan had risk of < 1% PR. Areas of meso- and hyperendemic risk were located in the south. About 80% of Sudan's population in 2011 was in the areas in the desert, urban centers, or where risk was < 1% PR. Aggregated data suggest reducing risks in some high transmission areas since the 1960s.

[open-access] This is an Open Access article distributed under the terms of the American Society of Tropical Medicine and Hygiene's Re-use License which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


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  • Received : 21 Jun 2012
  • Accepted : 09 Aug 2012
  • Published online : 05 Dec 2012

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