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...
Guardado en:
Autores principales: | , , , , , , |
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Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
Publicado: |
2016
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/56823 http://45jaiio.sadio.org.ar/sites/default/files/AGRANDA-08.pdf |
Aporte de: |
id |
I19-R120-10915-56823 |
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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 |
work_keys_str_mv |
AT monasteriojuande uncoveringthespreadofaninfectiousdiseasewithmobilephonedata AT sallesalejo uncoveringthespreadofaninfectiousdiseasewithmobilephonedata AT langcarolina uncoveringthespreadofaninfectiousdiseasewithmobilephonedata AT weinbergdiego uncoveringthespreadofaninfectiousdiseasewithmobilephonedata AT minnonimartin uncoveringthespreadofaninfectiousdiseasewithmobilephonedata AT travizanomatias uncoveringthespreadofaninfectiousdiseasewithmobilephonedata AT sarrautecarlos uncoveringthespreadofaninfectiousdiseasewithmobilephonedata |
bdutipo_str |
Repositorios |
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1764820477651451904 |