The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data
Open accessAbstract
Background: Travel restrictions were implemented on an unprecedented scale in 2015 in Sierra Leone to contain and eliminate Ebola virus disease. However, the impact of epidemic travel restrictions on mobility itself remains difficult to measure with traditional methods. New 'big data' approaches using mobile phone data can provide, in near real-time, the type of information needed to guide and evaluate control measures. Methods: We analysed anonymous mobile phone call detail records (CDRs) from a leading operator in Sierra Leone between 20 March and 1 July in 2015. We used an anomaly detection algorithm to assess changes in travel during a national 'stay at home' lockdown from 27 to 29 March. To measure the magnitude of these changes and to assess effect modification by region and historical Ebola burden, we performed a time series analysis and a crossover analysis. Results: Routinely collected mobile phone data revealed a dramatic reduction in human mobility during a 3-day lockdown in Sierra Leone. The number of individuals relocating between chiefdoms decreased by 31% within 15 km, by 46% for 15-30 km and by 76% for distances greater than 30 km. This effect was highly heterogeneous in space, with higher impact in regions with higher Ebola incidence. Travel quickly returned to normal patterns after the restrictions were lifted. Conclusions: The effects of travel restrictions on mobility can be large, targeted and measurable in near real-time. With appropriate anonymization protocols, mobile phone data should play a central role in guiding and monitoring interventions for epidemic containment.
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“While in the above we reviewed COVID-19 related studies for their timely relevance, mobility restrictions had been used and studied in the past, for example to stop the spread of Ebola in Sierra Leone [108], H1N1 influenza [109], etc.”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [108]
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Citations
Cites
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Background
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- Médecins Sans Frontières (MSF), 2014, Ebola: Quarantine Can Undermine Efforts to Curb Epidemic
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Cited by
Sorted by citations
The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China
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“(6) Green line: approximated growth curve for COVID-19 cases under new diagnostic criteria”
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BackgroundThe use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
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“A retrospective analysis of mobile phone call data in Sierra Leone from 2015 showed how it might have been used to assess the impact of travel restrictions on mobility during the Ebola epidemic 46 .”
Method
Metadata
- Authors
- Peak, C. M., Wesolowski, A., zu Erbach-Schoenberg, E., Tatem, A. J., Wetter, E., Lu, X., Power, D., Weidman-Grunewald, E., Ramos, S., Moritz, S., Buckee, C. O., & Bengtsson, L.
- Affiliations
- Harvard University (US)
- Johns Hopkins University (US)
- Flowminder Foundation, Stockholm, Sweden
- Flowminder Foundation (SE)
- Asian Institute of Management (PH)
- Central South University (CN)
- Ericsson (Sweden) (SE)
- Karolinska Institutet (SE)
- Corresponding author
- Buckee, Caroline O
- ORCID
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-06-26
- Volume
- 47
- Issue
- 5
- Pages
- 1562-1570
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- PMC
- PMC6208277
- OpenAlex
- W2811210701
- Cited by
- 141
- References
- 29
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 5 · 2023: 21 · 2022: 22 · 2021: 47 · 2020: 24 · 2019: 10
- FWCI
- 25.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Epidemiology (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Funders
- National Institute of General Medical Sciences (U54GM088558)
- National Research Service Award (T32AI007535–16A)
- Wellcome Trust Sustaining Health (106866/Z/15/Z)
- Swedish Research Council (D0313701)
- Burroughs Wellcome Fund
- Natural Science Foundation of China (71522014)
- National Institutes of Health
- Topics
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Health Sciences › Medicine › Infectious Diseases › Viral Infections and Outbreaks Research
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Keywords
- Ebola virus disease, travel restrictions, human mobility, mobile phone data, call detail records, epidemic containment, anomaly detection, chiefdoms, spatial heterogeneity, disease surveillance, Sierra Leone
- MeSH terms
- Humans, Population Dynamics, Retrospective Studies, Sierra Leone, Travel, Incidence, Infection Control, Hemorrhagic Fever, Ebola, Cell Phone, Epidemics
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