Mosquito vector data are collected in a myriad of different ways by multiple data collectors for a wide variety of purposes. They are distributed in literature, among individual scientists, organisations and countries that are not always well connected. In isolation, these mosquito vector data are useful in answering the research questions that they were initially collected for, but when combined, their value multiplies. The Vector Atlas project aims to update and create malaria vector species maps and spatial products that improve the disease prediction, mitigation and preparedness. We propose to build a Vector Atlas data-hub that links ‘core’ (e.g., existing vector occurrence, bionomics and insecticide resistance data, Malaria Atlas Project - MAP covariates) and ‘complimentary’ (e.g., GBIF, MalariaGEN, VectorBase, Amplicon Panel project) data resources to provide a ‘one stop shop’ of relatable and cross referenced data access. These data will underpin a suite of intuitive and informative maps generated using cuttingedge modelling techniques tailored to inform the control of mosquito vector diseases.
The three PhD positions are based at the Data Management, Modelling and Geo-Information (DMMG) unit at icipe’s
Duduville campus, Nairobi, Kenya, with occasional travels to international partners at the University of Oxford UK
(Department of Zoology), and CapGemini, Oxfordshire, UK.