A spatial data repository for the analysis of insecticide resistance in malaria vectors. (360G-Wellcome-108440_Z_15_Z)

We will build a resource to provide georeferenced data on resistance to multiple classes of insecticide in vectors of malaria worldwide. Our key objectives are i) to collate the largest global repository of field survey data for insecticide susceptibility, ii) to generate predicted values for insecticide susceptibility across locations and times to provide estimates for locations that have no field survey data and to allow users to investigate the spatiotemporal patterns of resistance, and iii) to collate the largest global repository of field survey data for resistance mechanisms. Cutting across all three objectives, our aim is to provide datasets that are formatted for use in mathematical models of malaria transmission and meta-analyses of insecticide resistance. The survey data will be cleaned, standardised, disaggregated and georeferenced before they enter the repository, to ensure users can conduct meta-analyses on data from diverse sources and study designs. We will use geostatis tical techniques to generate posterior distributions of predicted values that can be used by mathematical modellers and we will also provide a mean estimate for each location and time, together with a summary statistic for the uncertainty in each estimate. All data will be released on a free and open access basis.