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 data are able to answer the questions they were collected to address, but when combined, their value multiplies. The Vector Atlas aims to update and create vector species maps and spatial products that improve disease prediction, mitigation and preparedness, and build at data hub that provides a ‘one stop shop’ of vector data.
The project will develop leading edge approaches to modelling the distribution of mosquitoes accounting for the demography of multiple life stages, bias correction in presence-only data, and will value-add data through a range of modelling case studies developed with malaria management decision makers in endemic countries.
Collaborators
Marianne Sinka, University of Oxford https://oxlel.zoo.ox.ac.uk/people/dr-marianne-sinka
Henri Tonnag, ICIPE http://www.icipe.org/about/staff/dr-henri-ez-tonnang