ArticleProceedings of the National Academy of Sciences of the United States of America2016
Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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79 citing papers in PubMed.
- Mobility data resolution needed to inform predictive models of spatial epidemic spread from mobile phone data.PLoS computational biology · 2026Article
- Epidemicity conditions in spatial models of infectious diseases.Bollettino della Unione matematica italiana (2008) · 2026Article
- Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review.Infectious diseases of poverty · 2025Article
- Privacy preserving optimization of communication networks.Nature communications · 2025Article
- Use of cell phone data to correct Île-de-France population estimates and SARS-CoV-2 incidence, July to September, 2021: a proof-of-concept exercise.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Article
- The limitations of mobile phone data for measuring movement patterns of populations at risk of malaria.Malaria journal · 2025Observational
- Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction.Scientific reports · 2025Article
- Bias in mobility datasets drives divergence in modeled outbreak dynamics.Communications medicine · 2025Article
- Comparing and integrating human mobility data sources for measles transmission modeling in Zambia.PLOS global public health · 2025Article
- Sacred journeys and pilgrimages: health risks associated with travels for religious purposes.Journal of travel medicine · 2024Review
- Satellite-Derived, Smartphone-Delivered Geospatial Cholera Risk Information for Vulnerable Populations.GeoHealth · 2024Article
- Risk factors for diarrheal diseases among pilgrims during Arba'een mass gathering: a case-control study.BMC infectious diseases · 2024Article
- The effects of policy changes and human mobility on the COVID-19 epidemic in the Dominican Republic, 2020-2021.Preventive medicine reports · 2023Article
- A stitch in time: The importance of water and sanitation services (WSS) infrastructure maintenance for cholera risk. A geospatial analysis in Harare, Zimbabwe.PLoS neglected tropical diseases · 2023Article
- Syndromic surveillance system during mass gathering of Panchkroshi Yatra festival, Ujjain, Madhya Pradesh, India.New microbes and new infections · 2023Article
- A dataset to assess mobility changes in Chile following local quarantines.Scientific data · 2023Article
- Future behaviours decision-making regarding travel avoidance during COVID-19 outbreaks.Scientific reports · 2022Article
- Structural changes in intercity mobility networks of China during the COVID-19 outbreak: A weighted stochastic block modeling analysis.Computers, environment and urban systems · 2022Article
- Analysis of the impact of non-compulsory measures on human mobility in Japan during the COVID-19 pandemic.Cities (London, England) · 2022Article
- Mobile phone data reveal the effects of violence on internal displacement in Afghanistan.Nature human behaviour · 2022Article
19 more citing papers are in PubMed but not listed here.
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7 authors.
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Abstract
The spatiotemporal evolution of human mobility and the related fluctuations of population density are known to be key drivers of the dynamics of infectious disease outbreaks. These factors are particularly relevant in the case of mass gatherings, which may act as hotspots of disease transmission and spread. Understanding these dynamics, however, is usually limited by the lack of accurate data, especially in developing countries. Mobile phone call data provide a new, first-order source of information that allows the tracking of the evolution of mobility fluxes with high resolution in space and time. Here, we analyze a dataset of mobile phone records of ∼150,000 users in Senegal to extract human mobility fluxes and directly incorporate them into a spatially explicit, dynamic epidemiological framework. Our model, which also takes into account other drivers of disease transmission such as rainfall, is applied to the 2005 cholera outbreak in Senegal, which totaled more than 30,000 reported cases. Our findings highlight the major influence that a mass gathering, which took place during the initial phase of the outbreak, had on the course of the epidemic. Such an effect could not be explained by classic, static approaches describing human mobility. Model results also show how concentrated efforts toward disease control in a transmission hotspot could have an important effect on the large-scale progression of an outbreak.
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