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Cited by 176

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 access
Finger, Flavio, Genolet, Tina, Mari, Lorenzo, de Magny, Guillaume Constantin, Manga, Noël Magloire, Rinaldo, Andrea, Bertuzzo, Enrico·2016·Proceedings of the National Academy of Sciences

Abstract

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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Crossref · 10.1073/pnas.1522305113

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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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CoChat. (2026). Citation check: Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks. https://app.cochat.ai/papers/10.1073/pnas.1522305113
The paper
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).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.