Analyzing the spread of chagas 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: | , , , , , , , , , , |
---|---|
Formato: | CONF |
Materias: | |
Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_97815090_v_n_p607_DeMonasterio |
Aporte de: |
id |
todo:paper_97815090_v_n_p607_DeMonasterio |
---|---|
record_format |
dspace |
spelling |
todo:paper_97815090_v_n_p607_DeMonasterio2023-10-03T16:43:47Z Analyzing the spread of chagas disease with mobile phone data De Monasterio, J. Salles, A. Lang, C. Weinberg, D. Minnoni, M. Travizano, M. Sarraute, C. Kumar R. Caverlee J. Tong H. ACM SIGMOD; Association for Computing Machinery (ACM); et al.; IEEE; IEEE Computer Society; IEEE TCDE Cellular telephones Health risks Maps Mobile phones Pattern recognition Risk assessment Telephone sets Argentina Case-studies Chagas disease Latin americans Mobile phone datum Mobility pattern Risk zones Specific areas Cellular telephone systems 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. © 2016 IEEE. Fil:Salles, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_97815090_v_n_p607_DeMonasterio |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Cellular telephones Health risks Maps Mobile phones Pattern recognition Risk assessment Telephone sets Argentina Case-studies Chagas disease Latin americans Mobile phone datum Mobility pattern Risk zones Specific areas Cellular telephone systems |
spellingShingle |
Cellular telephones Health risks Maps Mobile phones Pattern recognition Risk assessment Telephone sets Argentina Case-studies Chagas disease Latin americans Mobile phone datum Mobility pattern Risk zones Specific areas Cellular telephone systems De Monasterio, J. Salles, A. Lang, C. Weinberg, D. Minnoni, M. Travizano, M. Sarraute, C. Kumar R. Caverlee J. Tong H. ACM SIGMOD; Association for Computing Machinery (ACM); et al.; IEEE; IEEE Computer Society; IEEE TCDE Analyzing the spread of chagas disease with mobile phone data |
topic_facet |
Cellular telephones Health risks Maps Mobile phones Pattern recognition Risk assessment Telephone sets Argentina Case-studies Chagas disease Latin americans Mobile phone datum Mobility pattern Risk zones Specific areas Cellular telephone systems |
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. © 2016 IEEE. |
format |
CONF |
author |
De Monasterio, J. Salles, A. Lang, C. Weinberg, D. Minnoni, M. Travizano, M. Sarraute, C. Kumar R. Caverlee J. Tong H. ACM SIGMOD; Association for Computing Machinery (ACM); et al.; IEEE; IEEE Computer Society; IEEE TCDE |
author_facet |
De Monasterio, J. Salles, A. Lang, C. Weinberg, D. Minnoni, M. Travizano, M. Sarraute, C. Kumar R. Caverlee J. Tong H. ACM SIGMOD; Association for Computing Machinery (ACM); et al.; IEEE; IEEE Computer Society; IEEE TCDE |
author_sort |
De Monasterio, J. |
title |
Analyzing the spread of chagas disease with mobile phone data |
title_short |
Analyzing the spread of chagas disease with mobile phone data |
title_full |
Analyzing the spread of chagas disease with mobile phone data |
title_fullStr |
Analyzing the spread of chagas disease with mobile phone data |
title_full_unstemmed |
Analyzing the spread of chagas disease with mobile phone data |
title_sort |
analyzing the spread of chagas disease with mobile phone data |
url |
http://hdl.handle.net/20.500.12110/paper_97815090_v_n_p607_DeMonasterio |
work_keys_str_mv |
AT demonasterioj analyzingthespreadofchagasdiseasewithmobilephonedata AT sallesa analyzingthespreadofchagasdiseasewithmobilephonedata AT langc analyzingthespreadofchagasdiseasewithmobilephonedata AT weinbergd analyzingthespreadofchagasdiseasewithmobilephonedata AT minnonim analyzingthespreadofchagasdiseasewithmobilephonedata AT travizanom analyzingthespreadofchagasdiseasewithmobilephonedata AT sarrautec analyzingthespreadofchagasdiseasewithmobilephonedata AT kumarr analyzingthespreadofchagasdiseasewithmobilephonedata AT caverleej analyzingthespreadofchagasdiseasewithmobilephonedata AT tongh analyzingthespreadofchagasdiseasewithmobilephonedata AT acmsigmodassociationforcomputingmachineryacmetalieeeieeecomputersocietyieeetcde analyzingthespreadofchagasdiseasewithmobilephonedata |
_version_ |
1807314975939624960 |