This dataset presents an assembly of geocoded anopheline species data abstracted from survey reports published since 1900 across sub-Saharan Africa (SSA) and its offshore islands that have yet to eliminate malaria. The geocoded inventory of anopheline species in SSA covers over 13,000 locations and represents the most spatially comprehensive description of dominant and secondary malaria vectors in Africa to-date.
This dataset contains 13,331 unique, geocoded survey locations of anopheline vector occurrence between 1898 and 2016. A total of 12,204 (92%) sites reported the presence of 10 dominant vector species/sibling species; 4,473 (37%) of these sites were sampled since 2005. 4,442 (33%) sites reported at least one of 13 possible secondary vector species; 1,107 (25%) of these sites were sampled since 2005.
This is the largest ever geocoded database of anophelines in Africa, representing a legacy dataset for future updating and identification of knowledge gaps at national levels. The most recent geocoded inventory of anophelines in Africa focused only on dominant vectors, published and contemporary data sources.
The geocoded database is available on Harvard Dataverse as a reference source for African national malaria control programmes planning their future control and elimination strategies and original source materials have been provided to the Global Malaria Programme of the World Health Organization (WHO). These data are therefore available to every national malaria agency responsible for the future control or elimination of malaria across SSA. This dataset is also available to national academic counterparts to malaria programmes in SSA interested in vector species niche mapping. This information can be used to plan an effective control program.
The Vectors Database, which includes all the data that support the findings of this study, are available from the Kenyan Medical Research Institute (KEMRI) Wellcome Trust Research Programme’s Population Health Dataverse, http:// dx.doi.org/10.7910/DVN/NQ6CUN (Snow, 2017), under a CC-BY 4.0 license.