Abstract:
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.
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Documento: |
Conferencia
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Título: | Analyzing the spread of chagas disease with mobile phone data |
Autor: | 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 |
Filiación: | FCEyN, Universidad de Buenos Aires, Argentina Instituto de Cálculo, CONICET, Argentina Fundación Mundo Sano, Paraguay 1535, Buenos Aires, Argentina Grandata Labs, Bartolome Cruz 1818, Vicente Lopez, Argentina
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Palabras clave: | 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 |
Año: | 2016
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Página de inicio: | 607
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Página de fin: | 612
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DOI: |
http://dx.doi.org/10.1109/ASONAM.2016.7752298 |
Título revista: | 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
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Título revista abreviado: | Proc. IEEE/ACM Int. Conf. Adv. Soc. Netw. Anal. Min., ASONAM
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Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97815090_v_n_p607_DeMonasterio |
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Citas:
---------- APA ----------
De Monasterio, J., Salles, A., Lang, C., Weinberg, D., Minnoni, M., Travizano, M., Sarraute, C.,..., ACM SIGMOD; Association for Computing Machinery (ACM); et al.; IEEE; IEEE Computer Society; IEEE TCDE
(2016)
. Analyzing the spread of chagas disease with mobile phone data. 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, 607-612.
http://dx.doi.org/10.1109/ASONAM.2016.7752298---------- CHICAGO ----------
De Monasterio, J., Salles, A., Lang, C., Weinberg, D., Minnoni, M., Travizano, M., et al.
"Analyzing the spread of chagas disease with mobile phone data"
. 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
(2016) : 607-612.
http://dx.doi.org/10.1109/ASONAM.2016.7752298---------- MLA ----------
De Monasterio, J., Salles, A., Lang, C., Weinberg, D., Minnoni, M., Travizano, M., et al.
"Analyzing the spread of chagas disease with mobile phone data"
. 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, 2016, pp. 607-612.
http://dx.doi.org/10.1109/ASONAM.2016.7752298---------- VANCOUVER ----------
De Monasterio, J., Salles, A., Lang, C., Weinberg, D., Minnoni, M., Travizano, M., et al. Analyzing the spread of chagas disease with mobile phone data. Proc. IEEE/ACM Int. Conf. Adv. Soc. Netw. Anal. Min., ASONAM. 2016:607-612.
http://dx.doi.org/10.1109/ASONAM.2016.7752298