In this week's PLoS Medicine, Ricardo Soares Magalhaes and Archie Clements, from the University of Queensland, Brisbane, Australia, describe how they used national cross-sectional household-based demographic health surveys to map the distribution of anaemia risk in preschool-age children in Burkina Faso, Ghana, and Mali. The use of such maps has significant practical implications for targeted control of anaemia in these countries, such as guiding the efficient allocation of nutrient supplements and fortified foods, and contributing to the planning and evaluation of resource requirements for geographical delivery of transfusion services for severe anaemia cases.

The authors say: "The development of maps indicating the geographical risk profile of anaemia controlling for malnutrition and major infections would allow assessment of the risk of anaemia due to different causes, which would in turn constitute an important evidence base to work out the best balance between interventions."

In an accompanying Perspective article, Abdisalan Noor (uninvolved in the research) from the Kenya Medical Research Institute, Nairobi, Kenya, comments that: "The application of [model-based geostatics] to national sample survey data on anaemia is an important advance in our understanding of the geography of risk and will provide a more robust framework to computing disease burdens and attributable disability adjusted life years."

Article by Soares Magalhães and Clements

Funding: Funded by the University of Queensland and National Health and Medical Research Council (NHMRC), Australia. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing Interests: The authors have declared that no competing interests exist.

Citation: Soares Magalhães RJ, Clements ACA (2011) Mapping the Risk of Anaemia in Preschool-Age Children: The Contribution of Malnutrition, Malaria, and Helminth Infections in West Africa. PLoS Med 8(6): e1000438. doi:10.1371/journal.pmed.1000438

Click here to access the freely available paper.

Perspective by Abdisalan Noor

Funding: No specific funding was received for this study.

Competing Interests: The author has declared that no competing interests exist.

Citation: Noor AM (2011) The First Model-Based Geostatistical Map of Anaemia. PLoS Med 8(6): e1001039. doi:10.1371/journal.pmed.1001039

Click here to access the freely available paper.

Source:
Clare Weaver
Public Library of Science