Mosquito Vectors

site_file$vectors

Within sub-Saharan Africa

For countries in sub-Saharan Africa a statistical model of relative abundance of major vectors has been produced Sinka et al¹ For countries we extract the relative abundance of arabiensis, funestus and gambiae using the malaria atlas project “Anopheles arabiensis Patton, 1905”, “Anopheles funestus” and “Anopheles gambiae Giles, 1902” rasters. Proportions are normalised to sum to one (as other species may be present in the data).

Outside of sub-Saharan Africa

For countries outside of sub-Saharan Africa we do not have estimates of the relative abundance of vectors species. There are however probability of occurrence maps for a large number of species Sinka et al². For these locations we select up to a maximum of three species ranked by their average probability of occurrence across a site. Each species is then given an equally weighted relative abundance.

Vector bionomics

site_file$vectors$blood_meal_rates site_file$vectors$foraging_time site_file$vectors$Q0 site_file$vectors$phi_bednets site_file$vectors$phi_indoors site_file$vectors$mum

The bionomics parameters for vectors in sub-Saharan Africa are parameterised using the fitted parameters in malarisimulation.

All other vectors are parameterised from an (unpublished) literature review by Arran Hamlet. Any unknown species are assigned the median vector bionomics parameters across other species at the site. Please contact Pete Winskill directly if using these estimates.

The blood_meal_rates, foraging_time and mum parameters are assumed fixed at previously fitted values.

Citations

1.

Sinka, M. E. et al. Modelling the relative abundance of the primary african vectors of malaria before and after the implementation of indoor, insecticide-based vector control. Malaria Journal 15, (2016).

2.

Sinka, M. E. et al. A global map of dominant malaria vectors. Parasites & vectors 5, 69 (2012).