Datasets from evaluating insecticide resistance across African districts to aid malaria control decisions

The data loaded here were generated by a
published geostatistical ensemble model to bridge gaps in the available surveillance data and consider the likelihood that resistance exceeds recommended thresholds.

We provide spatial data files for:
1) district-level weighted means for pyrethroid resistance,
2) the maximum pyrethroid resistance value (minimum mortality value) predicted within each district,
3) the probability that pyrethroid resistance exceeds the World Health Organization (WHO)
threshold for susceptibility,
4) the probability that pyrethroid resistance exceeds the World Health Organization (WHO) threshold for confirmed resistance, and
5) the probability that pyrethroid resistance falls within the World Health Organization (WHO) range for deployment of PBO-treated nets.
These data are all for deltametrin resistance in Anopheles gambiae s.l. in 2017. All of the above files are in shapefile format.

We also provide spatial data on the overlapping presence of Anopheles gambiae s.l. and the other dominant vector in this region, Anopheles funestus. These files are in GeoTIFF format.

All of the above data can be visualised, processed and analysed in a range of geographical information system packages (e.g. ArcGIS and QGIS) or spatial data packages in R (http://cran.r-project.org/web/views/Spatial.html).

Further information is given in the article describing this work: https://www.medrxiv.org/content/10.1101/2020.04.01.20049593v1 [to be replaced by the peer-reviewed article once published].