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Telecom data is rich on mobility information and as such can be used toidentify mobility patterns of people in near real time, enabling to buildepidemiological models for understanding where epidemics might spread overtime. Based on previous research, we have built an operational tool fed withtelecom data which shows malaria risk flows in Zambia in near real time. Itprovides insights on which areas should eradicate malaria first in order tohave a maximum impact on the overall country malaria flows, and it highlightsregions that should coordinate their eradication efforts together. Suchinformation is particularly relevant for countries like Zambia, which aregetting close to malaria elimination and need to prevent its re-introductioninto areas that are already malaria-free.

Telecom data for efficient malaria interventions