Uncovering the Spread of an Infectious Disease with Mobile Phone Data

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 liv...

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Detalles Bibliográficos
Autores principales: Monasterio, Juan de, Salles, Alejo, Lang, Carolina, Weinberg, Diego, Minnoni, Martín, Travizano, Matías, Sarraute, Carlos
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2016
Materias:
Ciencias Informáticas
mobile phone records
mobility patterns
Enfermedad de Chagas
Mapa de Riesgo
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/56823
http://45jaiio.sadio.org.ar/sites/default/files/AGRANDA-08.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-56823
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
mobile phone records
mobility patterns
Enfermedad de Chagas
Mapa de Riesgo
spellingShingle Ciencias Informáticas
mobile phone records
mobility patterns
Enfermedad de Chagas
Mapa de Riesgo
Monasterio, Juan de
Salles, Alejo
Lang, Carolina
Weinberg, Diego
Minnoni, Martín
Travizano, Matías
Sarraute, Carlos
Uncovering the Spread of an Infectious Disease with Mobile Phone Data
topic_facet Ciencias Informáticas
mobile phone records
mobility patterns
Enfermedad de Chagas
Mapa de Riesgo
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.
format Objeto de conferencia
Objeto de conferencia
author Monasterio, Juan de
Salles, Alejo
Lang, Carolina
Weinberg, Diego
Minnoni, Martín
Travizano, Matías
Sarraute, Carlos
author_facet Monasterio, Juan de
Salles, Alejo
Lang, Carolina
Weinberg, Diego
Minnoni, Martín
Travizano, Matías
Sarraute, Carlos
author_sort Monasterio, Juan de
title Uncovering the Spread of an Infectious Disease with Mobile Phone Data
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
publishDate 2016
url http://sedici.unlp.edu.ar/handle/10915/56823
http://45jaiio.sadio.org.ar/sites/default/files/AGRANDA-08.pdf
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