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Review
. 2004 Aug;71(2 Suppl):94-6.

The role of mathematical modeling in evidence-based malaria control

F Ellis McKenzie  1 , Ebrahim M Samba
Affiliations
Review

The role of mathematical modeling in evidence-based malaria control

F Ellis McKenzie et al. Am J Trop Med Hyg. 2004 Aug.

Abstract

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.

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Figures

FIGURE 1
FIGURE 1
Schematic of the Ross-Macdonald models. Recent models have added explicit representations of human immunity, and have considered populations as aggregates of individuals rather than as compartments (see text).
FIGURE 2
FIGURE 2
Hypothetical output from two hypothetical models. The horizontal x-axis shows the percentage of the population covered by an intervention and the vertical y-axis shows the resulting percentage reduction in mortality (see text).
See this image and copyright information in PMC

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