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Human mobility is one of the key factors at the basis of the spreading ofdiseases in a population. Containment strategies are usually devised onmovement scenarios based on coarse-grained assumptions. Mobility phone dataprovide a unique opportunity for building models and defining strategies basedon very precise information about the movement of people in a region or in acountry. Another very important aspect is the underlying social structure of apopulation, which might play a fundamental role in devising informationcampaigns to promote vaccination and preventive measures, especially incountries with a strong family (or tribal) structure.  In this paper we analyze a large-scale dataset describing the mobility andthe call patterns of a large number of individuals in Ivory Coast. We present amodel that describes how diseases spread across the country by exploitingmobility patterns of people extracted from the available data. Then, wesimulate several epidemics scenarios and we evaluate mechanisms to contain theepidemic spreading of diseases, based on the information about people mobilityand social ties, also gathered from the phone call data. More specifically, wefind that restricting mobility does not delay the occurrence of an endemicstate and that an information campaign based on one-to-one phone conversationsamong members of social groups might be an effective countermeasure.

Exploiting Cellular Data for Disease Containment and Information Campaigns Strategies in Country-Wide Epidemics