ArticleBulletin of the World Health Organization2010
Intermittent preventive treatment for malaria in infants: a decision-support tool for sub-Saharan Africa.
Article in Bulletin of the World Health Organization, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of the efficacy of a single dose artemisinin-naphthoquine in treating uncomplicated malaria.Malaria journal · 2015Pooled it
- Pooled it
- Functional Analysis Reveals Geographical Variation in Inhibitory Immune Responses Against a Polymorphic Malaria Antigen.The Journal of infectious diseases · 2017Article
- The epidemiological impact of HIV antiretroviral therapy on malaria in children.AIDS (London, England) · 2015Article
- Estimates of the changing age-burden of Plasmodium falciparum malaria disease in sub-Saharan Africa.Nature communications · 2014Article
- Article
- Modeling the public health impact of malaria vaccines for developers and policymakers.BMC infectious diseases · 2013Article
- Modelling malaria elimination on the internet.Malaria journal · 2011Article
- The age patterns of severe malaria syndromes in sub-Saharan Africa across a range of transmission intensities and seasonality settings.Malaria journal · 2010Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo 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.
methodsAn 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.
findingsFindings 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.
conclusionThe 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.
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