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Population mobility...
Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone : Use of mobile phone data
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- Power, Daniel (author)
- Flowminder Foundation (SE)
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- Weidman-Grunewald, Elaine (author)
- Ericsson (SE)
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- Ramos, Sergio (author)
- Ericsson (SE)
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- Moritz, Simon (author)
- Ericsson (SE)
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- Wetter, Erik (author)
- Stockholm School of Economics,Handelshögskolan i Stockholm
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- Lu, Xin (author)
- Karolinska Institutet,Flowminder Foundation (SE)
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- Peak, Corey M (author)
- Harvard University
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- Wesolowski, Amy (author)
- Johns Hopkins University
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- zu Erbach-Schoenberg, Elisabeth (author)
- University of Southampton (GB)
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- Tatem, Andrew J. (author)
- University of Southampton (GB)
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- Buckee, Caroline (author)
- Harvard University
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- Bengtsson, Linus (author)
- Karolinska Institutet,Flowminder Foundation (SE)
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(creator_code:org_t)
- Oxford University Press (OUP): Policy B - Oxford Open Option D, 2018
- 2018
- English.
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In: International Journal of Epidemiology. - : Oxford University Press (OUP): Policy B - Oxford Open Option D. - 1464-3685 .- 0300-5771. ; 47:5, s. 1562-1570
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Abstract
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- Travel restrictions were implementeded 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.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.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.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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
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- ref (subject category)
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- By the author/editor
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Power, Daniel
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Weidman-Grunewal ...
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Ramos, Sergio
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Moritz, Simon
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Wetter, Erik
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Lu, Xin
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show more...
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Peak, Corey M
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Wesolowski, Amy
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zu Erbach-Schoen ...
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Tatem, Andrew J.
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Buckee, Caroline
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Bengtsson, Linus
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show less...
- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Health Sciences
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and Public Health Gl ...
- Articles in the publication
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International Jo ...
- By the university
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Stockholm School of Economics
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Karolinska Institutet