Uncovering the Spread of an Infectious Disease with Mobile Phone Data

Autores
Monasterio, Juan de; Salles, Alejo; Lang, Carolina; Weinberg, Diego; Minnoni, Martín; Travizano, Matías; Sarraute, Carlos
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We use mobile phone records for the analysis of mobility patterns and the detection of possible risk zones of Chagas disease in two Latin American countries. We show that geolocalized call records are rich in social and individual information, which can be used to infer whether an individual has lived in an endemic area. We present two case studies, in Argentina and in Mexico, using data provided by mobile phone companies from each country. The risk maps that we generate can be used by health campaign managers to target specific areas and allocate resources more effectively. Finally, we show the value of mobile phone records to predict long-term migrations, which play a crucial role in the spread of Chagas disease.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
mobile phone records
mobility patterns
Enfermedad de Chagas
Mapa de Riesgo
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/56823
Acceder
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network_name_str SEDICI (UNLP)
spelling Uncovering the Spread of an Infectious Disease with Mobile Phone DataMonasterio, Juan deSalles, AlejoLang, CarolinaWeinberg, DiegoMinnoni, MartínTravizano, MatíasSarraute, CarlosCiencias Informáticasmobile phone recordsmobility patternsEnfermedad de ChagasMapa de RiesgoWe use mobile phone records for the analysis of mobility patterns and the detection of possible risk zones of Chagas disease in two Latin American countries. We show that geolocalized call records are rich in social and individual information, which can be used to infer whether an individual has lived in an endemic area. We present two case studies, in Argentina and in Mexico, using data provided by mobile phone companies from each country. The risk maps that we generate can be used by health campaign managers to target specific areas and allocate resources more effectively. Finally, we show the value of mobile phone records to predict long-term migrations, which play a crucial role in the spread of Chagas disease.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2016-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf55-70http://sedici.unlp.edu.ar/handle/10915/56823enginfo:eu-repo/semantics/altIdentifier/url/http://45jaiio.sadio.org.ar/sites/default/files/AGRANDA-08.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7569info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:06:08Zoai:sedici.unlp.edu.ar:10915/56823Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:06:08.548SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Uncovering the Spread of an Infectious Disease with Mobile Phone Data
title Uncovering the Spread of an Infectious Disease with Mobile Phone Data
spellingShingle Uncovering the Spread of an Infectious Disease with Mobile Phone Data
Monasterio, Juan de
Ciencias Informáticas
mobile phone records
mobility patterns
Enfermedad de Chagas
Mapa de Riesgo
title_short Uncovering the Spread of an Infectious Disease with Mobile Phone Data
title_full Uncovering the Spread of an Infectious Disease with Mobile Phone Data
title_fullStr Uncovering the Spread of an Infectious Disease with Mobile Phone Data
title_full_unstemmed Uncovering the Spread of an Infectious Disease with Mobile Phone Data
title_sort Uncovering the Spread of an Infectious Disease with Mobile Phone Data
dc.creator.none.fl_str_mv Monasterio, Juan de
Salles, Alejo
Lang, Carolina
Weinberg, Diego
Minnoni, Martín
Travizano, Matías
Sarraute, Carlos
author Monasterio, Juan de
author_facet Monasterio, Juan de
Salles, Alejo
Lang, Carolina
Weinberg, Diego
Minnoni, Martín
Travizano, Matías
Sarraute, Carlos
author_role author
author2 Salles, Alejo
Lang, Carolina
Weinberg, Diego
Minnoni, Martín
Travizano, Matías
Sarraute, Carlos
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
mobile phone records
mobility patterns
Enfermedad de Chagas
Mapa de Riesgo
topic Ciencias Informáticas
mobile phone records
mobility patterns
Enfermedad de Chagas
Mapa de Riesgo
dc.description.none.fl_txt_mv We use mobile phone records for the analysis of mobility patterns and the detection of possible risk zones of Chagas disease in two Latin American countries. We show that geolocalized call records are rich in social and individual information, which can be used to infer whether an individual has lived in an endemic area. We present two case studies, in Argentina and in Mexico, using data provided by mobile phone companies from each country. The risk maps that we generate can be used by health campaign managers to target specific areas and allocate resources more effectively. Finally, we show the value of mobile phone records to predict long-term migrations, which play a crucial role in the spread of Chagas disease.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description We use mobile phone records for the analysis of mobility patterns and the detection of possible risk zones of Chagas disease in two Latin American countries. We show that geolocalized call records are rich in social and individual information, which can be used to infer whether an individual has lived in an endemic area. We present two case studies, in Argentina and in Mexico, using data provided by mobile phone companies from each country. The risk maps that we generate can be used by health campaign managers to target specific areas and allocate resources more effectively. Finally, we show the value of mobile phone records to predict long-term migrations, which play a crucial role in the spread of Chagas disease.
publishDate 2016
dc.date.none.fl_str_mv 2016-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/56823
url http://sedici.unlp.edu.ar/handle/10915/56823
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://45jaiio.sadio.org.ar/sites/default/files/AGRANDA-08.pdf
info:eu-repo/semantics/altIdentifier/issn/2451-7569
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/3.0/
Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/3.0/
Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
dc.format.none.fl_str_mv application/pdf
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