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Am. J. Trop. Med. Hyg., 71(2 suppl), 2004, pp. 94-96
Copyright © 2004 by The American Society of Tropical Medicine and Hygiene

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THE ROLE OF MATHEMATICAL MODELING IN EVIDENCE-BASED MALARIA CONTROL

F. ELLIS McKENZIE AND EBRAHIM M. SAMBA
Fogarty International Center, National Institutes of Health, Bethesda, Maryland; World Health Organization, Regional Office for Africa, Harare, Zimbabwe

Mathematical models have long provided basic insights for malaria control. The recent success of the Onchocerciasis Control Program in west Africa shows that models can make great pragmatic contributions to intervention programs if the modeling is integrated into the overall program, and if the participants are clear about what models can and cannot do. This lesson can be applied to evidence-based malaria control.

Received August 21, 2003. Accepted for publication November 15, 2003.

Acknowledgements: We gratefully acknowledge the contributions of M. Alilio, J. Breman, A. Egan, G. Keusch, and two anonymous referees. This work was presented at "The Intolerable Burden of Malaria: What’s New, What’s Needed" workshop at the Third Multilateral Initiative on Malaria Pan-African Malaria Conference "Global Advances in Malaria Research: Evidence-Based Decision Making for Malaria Control and Policy," November 17, 2002, Arusha, Tanzania.

Authors’ addresses: F. Ellis McKenzie, Fogarty International Center, National Institutes of Health, Room 306, Building 16, Bethesda, MD 20892, Telephone: 301-496-2147, Fax: 301-496-8496, E-mail: mckenzel{at}mail.nih.gov. Ebrahim M. Samba, World Health Organization, Regional Office for Africa, Harare, Zimbabwe.




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