The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks
Open accessAbstract
Significance: Big data and, in particular, mobile phone data are expected to revolutionize epidemiology, yet their full potential is still untapped. Here, we take a significant step forward by developing an epidemiological model that accounts for the spatiotemporal patterns of human mobility derived by directly tracking properly anonymized mobile phone users. Such data allow us to investigate, with an unprecedented level of detail, the effect that mass gatherings can have on the spreading of waterborne diseases like cholera. Identifying and understanding transmission hotspots opens the way to the implementation of novel disease control strategies.
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Citations
Cites
Unique in the Crowd: The privacy bounds of human mobility
de Montjoye, Y.-A., Hidalgo, C. A., Verleysen, M., & Blondel, V. D. (2013) · Scientific Reports · doi:10.1038/srep01376 · Cited by 1,645
Quantifying the Impact of Human Mobility on Malaria
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Bengtsson, L., Lu, X., Thorson, A., Garfield, R., & von Schreeb, J. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1001083 · Cited by 634
Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic
Bajardi, P., Poletto, C., Ramasco, J. J., Tizzoni, M., Colizza, V., & Vespignani, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016591 · Cited by 495
Using Mobile Phone Data to Predict the Spatial Spread of Cholera
Bengtsson, L., Gaudart, J., Lu, X., Moore, S., Wetter, E., Sallah, K., Rebaudet, S., & Piarroux, R. (2015) · Scientific Reports · doi:10.1038/srep08923 · Cited by 281 · cited 1×
“Several studies deal with the comparison with human mobility models (21, 30).”
Background
Cited by
Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures
Gatto, M., Bertuzzo, E., Mari, L., Miccoli, S., Carraro, L., Casagrandi, R., & Rinaldo, A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2004978117 · Cited by 1,051
Self-citationThe One Health Concept: 10 Years Old and a Long Road Ahead
Destoumieux-Garzón, D., Mavingui, P., Boetsch, G., Boissier, J., Darriet, F., Duboz, P., Fritsch, C., Giraudoux, P., Le Roux, F., Morand, S., et al. (2018) · Frontiers in Veterinary Science · doi:10.3389/fvets.2018.00014 · Cited by 992
Population flow drives spatio-temporal distribution of COVID-19 in China
Jia, J. S., Lu, X., Yuan, Y., Xu, G., Jia, J., & Christakis, N. A. (2020) · Nature · doi:10.1038/s41586-020-2284-y · Cited by 835
Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle
Oliver, N., Lepri, B., Sterly, H., Lambiotte, R., Deletaille, S., De Nadai, M., Letouzé, E., Salah, A. A., Benjamins, R., Cattuto, C., et al. (2020) · Science Advances · doi:10.1126/sciadv.abc0764 · Cited by 631
Mortality in Puerto Rico after Hurricane Maria
Kishore, N., Marqués, D., Mahmud, A., Kiang, M. V., Rodriguez, I., Fuller, A., Ebner, P., Sorensen, C., Racy, F., Lemery, J., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmsa1803972 · Cited by 689
Metadata
- Authors
- Finger, F., Genolet, T., Mari, L., de Magny, G. C., Manga, N. M., Rinaldo, A., & Bertuzzo, E.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2016-05-23
- Volume
- 113
- Issue
- 23
- Pages
- 6421-6426
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2406338814
- Cited by
- 176
- References
- 5
- FWCI
- 27.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Finger, F., Genolet, T., Mari, L., de Magny, G. C., Manga, N. M., Rinaldo, A., & Bertuzzo, E. (2016). Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1522305113
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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