Data describing human mobility and malaria epidemiology can help classify landscapes into sources and sinks, ecological concepts that have parallels in malaria control discussions of transmission foci. By linking transmission to parasite flow, it is possible to stratify landscapes for malaria control and elimination. We identify malaria sources and sinks for pre-elimination Namibia using malaria parasite rate maps and call data records from mobile phones, using a steady-state analysis of a malaria transmission model to infer where infections most likely occurred. This research, then, yields highly policy-relevant maps of parasite sources and sinks that can be directly used to target malaria elimination efforts.
Andy Tatem, Nick Ruktanonchai WorldPop, Geography and Environment University of Southampton
A.J.Tatem@soton.ac.uk, V.A.Alegana@soton.ac.uk (023) 8059 2636
Namibia National Vector Borne Disease Control Program, MTC Namibia, Bill and Melinda Gates Foundation, Clinton Health Access Initiative
1) Ruktanonchai et al (2016) Identifying Malaria Transmission Foci for Elimination Using Human Mobility Data, PLoS Computational Biology 2) Tatem et al (2014) Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning, Malaria Journal