Using Mobile Phone Data to Reduce Spread of Disease

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dc.creatorMilusheva, Sveta
dc.date2020-04-02T18:46:36Z
dc.date2020-04-02T18:46:36Z
dc.date2020-03
dc.date.accessioned2026-07-01T00:40:10Z
dc.descriptionWhile human mobility has important benefits for economic growth, it can generate negative externalities. This paper studies the effect of mobility on the spread of disease in a low-incidence setting when people do not internalize their risks to others. Using malaria as a case study and 15 billion mobile phone records across nine million SIM cards, this paper causally quantifies the relationship between travel and the spread of disease. The estimates indicate that an infected traveler contributes to 1.7 additional cases reported in the health facility at the traveler's destination. This paper develops a simulation-based policy tool that uses mobile phone data to inform strategic targeting of travelers based on their origins and destinations. The simulations suggest that targeting informed by mobile phone data could reduce the caseload by 50 percent more than current strategies that rely only on previous incidence.
dc.formatapplication/pdf
dc.formattext/plain
dc.identifierhttp://documents.worldbank.org/curated/en/143411585572411591/Using-Mobile-Phone-Data-to-Reduce-Spread-of-Disease
dc.identifierhttps://hdl.handle.net/10986/33520
dc.identifier10.1596/1813-9450-9198
dc.identifier.urihttp://hdl.handle.net/123456789/408754
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.relationPolicy Research Working Paper;No. 9198
dc.rightsCC BY 3.0 IGO
dc.rightshttp://creativecommons.org/licenses/by/3.0/igo
dc.rightsWorld Bank
dc.subjectHEALTH
dc.subjectPUBLIC HEALTH
dc.subjectDISEASE CONTROL
dc.subjectEPIDEMICS
dc.subjectMOBILE PHONE
dc.subjectMOBILITY
dc.subjectPUBLIC POLICY
dc.subjectBIG DATA
dc.subjectMALARIA
dc.subjectTRAVEL
dc.titleUsing Mobile Phone Data to Reduce Spread of Disease
dc.typeWorking Paper
dc.typeDocument de travail
dc.typeDocumento de trabajo

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