Funders

  • Bill and Melinda Gates Foundation
  • Medical Research Council

Project information

Achieving high coverage of conventional malaria control interventions remains a cornerstone of international policy for malaria control and, in many places with on going high endemic transmission, an essential precursor to subsequent elimination efforts. Previously, we developed a Bayesian compartment model that synthesised information on bednet deliveries, distributions and periodic coverage evaluations through household surveys. Using this model we generated national level spatiotemporal reconstructions of Insecticide-treated bednets (ITN) coverage through time in Africa.

The main focus of our research is the extension of the ITN model to estimate national level reconstructions of indoor residual spraying (IRS), and the creation high-resolution maps of both ITN and IRS coverage. These maps are currently being used to explore the efficiency of current ITN/IRS distributions relative to the underlying transmission intensity.

Recent publications

Bhatt, S. et al. Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017. Elife 4, e09672 (2015). Publisher's link.