  Telecom data is rich on mobility information and as such can be used to
identify mobility patterns of people in near real time, enabling to build
epidemiological models for understanding where epidemics might spread over
time. Based on previous research, we have built an operational tool fed with
telecom data which shows malaria risk flows in Zambia in near real time. It
provides insights on which areas should eradicate malaria first in order to
have a maximum impact on the overall country malaria flows, and it highlights
regions that should coordinate their eradication efforts together. Such
information is particularly relevant for countries like Zambia, which are
getting close to malaria elimination and need to prevent its re-introduction
into areas that are already malaria-free.
