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Intermittent preventive treatment for malaria in infants : a decision-support tool for sub-Saharan Africa

Carneiro, I. and Smith, L. and Ross, A. and Roca-Feltrer A., and Greenwood, B. and Schellenberg, J. A. and Smith, T. and Schellenberg, D.. (2010) Intermittent preventive treatment for malaria in infants : a decision-support tool for sub-Saharan Africa. Bulletin de l'Organisation mondiale de la santé = Bulletin of the World Health Organization, Vol. 88, H. 11. S. 807-814.

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Official URL: http://edoc.unibas.ch/dok/A5842933

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Abstract

OBJECTIVE: To develop a decision-support tool to help policy-makers in sub-Saharan Africa assess whether intermittent preventive treatment in infants (IPTi) would be effective for local malaria control. METHODS: An algorithm for predicting the effect of IPTi was developed using two approaches. First, study data on the age patterns of clinical cases of Plasmodium falciparum malaria, hospital admissions for infection with malaria parasites and malaria-associated death for different levels of malaria transmission intensity and seasonality were used to estimate the percentage of cases of these outcomes that would occur in children aged > 10 years targeted by IPTi. Second, a previously developed stochastic mathematical model of IPTi was used to predict the number of cases likely to be averted by implementing IPTi under different epidemiological conditions. The decision-support tool uses the data from these two approaches that are most relevant to the context specified by the user. FINDINGS: Findings from the two approaches indicated that the percentage of cases targeted by IPTi increases with the severity of the malaria outcome and with transmission intensity. The decision-support tool, available on the Internet, provides estimates of the percentage of malaria-associated deaths, hospitalizations and clinical cases that will be targeted by IPTi in a specified context and of the number of these outcomes that could be averted. CONCLUSION: The effectiveness of IPTi varies with malaria transmission intensity and seasonality. Deciding where to implement IPTi must take into account the local epidemiology of malaria. The Internet-based decision-support tool described here predicts the likely effectiveness of IPTi under a wide range of epidemiological conditions
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Health Systems Research and Dynamic Modelling > Dynamical Modelling (Smith)
UniBasel Contributors:Smith, Thomas A.
Item Type:Article, refereed
Bibsysno:Link to catalogue
Publisher:Org. mond. de la santé
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:14 Sep 2012 07:19
Deposited On:14 Sep 2012 06:49

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