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Research unit
TPH
Project number
6.14
Project title
Predicting efficacy and cost-effectiveness of malaria control interventions in Africa using dynamic models

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Short description
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Abstract
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CategoryText
Key words
(English)
Malaria Plasmodium Epidemiology Model Stochastic Simulation
Short description
(English)
The project will make use of new dynamic models of malaria transmission and morbidity, being developed as part of other projects, to simulate the long-term epidemiological effects of vector control programmes
Project aims
(English)
The project aims to fit models for the dynamics of malaria transmission, morbidity and mortality to field data on the effects of ITNs, IRS and larval control, and to make predictions of long-term epidemiological effects and of cost-effectiveness of these interventions.
Abstract
(English)

Effects of insecticide-treated bednets and curtains (ITNs) or of indoor residual spraying (IRS) on malaria transmission have usually been studied by comparing areas with high coverage with others with no or minimal interventions. The long-term dynamics of transmission effects are often not considered and most trials are of too short a duration to address them. Field observations suggest that effects on parasite prevalence (and hence on human-mosquito transmission) may take several years to reach equilibrium, and hence that such analyses underestimate the long-term effects of interventions. In the context of other projects we are developing new dynamic models for malaria transmission and epidemiology. We now propose to apply these to estimating long-term effects of ITNs and IRS, as well as Anopheles larval control interventions in programme settings across sub-Saharan Africa.