publication . Article . 2020

Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study

Pullano, Giulia; Valdano, Eugenio; Scarpa, Nicola; Rubrichi, Stefania; Colizza, Vittoria;
Open Access English
  • Published: 01 Dec 2020 Journal: The Lancet. Digital Health (eissn: 2589-7500, Copyright policy)
  • Publisher: The Author(s). Published by Elsevier Ltd.
  • Country: France
Abstract
International audience; Background: On March 17, 2020, French authorities implemented a nationwide lockdown to respond to the COVID-19 epidemic and curb the surge of patients requiring critical care. Assessing the effect of lockdown on individual displacements is essential to quantify achievable mobility reductions and identify the factors driving the changes in social dynamics that affected viral diffusion. We aimed to use mobile phone data to study how mobility in France changed before and during lockdown, breaking down our findings by trip distance, user age and residency, and time of day, and analysing regional data and spatial heterogeneities.Methods: For this population-based study, we used temporally resolved travel flows among 1436 administrative areas of mainland France reconstructed from mobile phone trajectories. Data were stratified by age class (younger than 18 years, 18-64 years, and 65 years or older). We distinguished between residents and non-residents and used population data and regional socioeconomic indicators from the French National Statistical Institute. We measured mobility changes before and during lockdown at both local and country scales using a case-crossover framework. We analysed all trips combined and trips longer than 100 km (termed long trips), and separated trips by daytime or night-time, weekdays or weekends, and rush hours.Findings: Lockdown caused a 65% reduction in the countrywide number of displacements (from about 57 million to about 20 million trips per day) and was particularly effective in reducing work-related short-range mobility, especially during rush hour, and long trips. Geographical heterogeneities showed anomalous increases in long-range movements even before lockdown announcement that were tightly localised in space. During lockdown, mobility drops were unevenly distributed across regions (eg, Île-de-France, the region of Paris, went from 585 000 to 117 000 outgoing trips per day). They were strongly associated with active populations, workers employed in sectors highly affected by lockdown, and number of hospitalisations per region, and moderately associated with the socioeconomic level of the regions. Major cities largely shrank their pattern of connectivity, reducing it mainly to short-range commuting (95% of traffic leaving Paris was contained in a 201 km radius before lockdown, which was reduced to 29 km during lockdown).Interpretation: Lockdown was effective in reducing population mobility across scales. Caution should be taken in the timing of policy announcements and implementation, because anomalous mobility followed policy announcements, which might act as seeding events. Conversely, risk aversion might be beneficial in further decreasing mobility in highly affected regions. We also identified socioeconomic and demographic constraints to the efficacy of restrictions. The unveiled links between geography, demography, and timing of the response to mobility restrictions might help to design interventions that minimise invasiveness while contributing to the current epidemic response.; Agence Nationale de la Recherche, EU, REACTing.
Persistent Identifiers
Subjects
Medical Subject Headings: human activities
free text keywords: Articles, [SDV]Life Sciences [q-bio], Health Information Management, Decision Sciences (miscellaneous), Health Informatics, Medicine (miscellaneous)
Communities
  • COVID-19 covid-19 Projects : RECoVER
  • COVID-19 covid-19 Projects : EVALCOVID-19
Funded by
ANR| EVALCOVID-19
Project
EVALCOVID-19
Mathematical and computational modeling integrating real-time mobile phone data to evaluate interventions against COVID-19 pandemic in France
  • Funder: French National Research Agency (ANR) (ANR)
  • Project Code: ANR-20-COVI-0007
,
EC| MOOD
Project
MOOD
MOnitoring Outbreak events for Disease surveillance in a data science context
  • Funder: European Commission (EC)
  • Project Code: 874850
  • Funding stream: H2020 | RIA
Validated by funder
,
EC| RECoVER
Project
RECoVER
Rapid European SARS-CoV-2 Emergency research Response
  • Funder: European Commission (EC)
  • Project Code: 101003589
  • Funding stream: H2020 | RIA
Validated by funder
,
ANR| DataRedux
Project
DataRedux
Big Data reduction for predictive computational modeling
  • Funder: French National Research Agency (ANR) (ANR)
  • Project Code: ANR-19-CE46-0008
36 references, page 1 of 3

1 Anderson RM, Heesterbeek H, Klinkenberg D, Hollingsworth TD. How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet 2020; 395: 931-34.

Impact of lockdown on COVID-19 epidemic in Île-de-France and possible exit strategies. BMC Med 2020; 18: 240.

Expected impact of reopening schools after lockdown on COVID-19 epidemic in Île-de-France. medRxiv 2020; published online May 12.

https://www.medrxiv.org/content/10.1101/2020.05.08.20095521v1 (preprint).

Lai S, Farnham A, Ruktanonchai NW, Tatem AJ. Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine. J Travel Med 2019; 26: taz019.

Int J Epidemiol 2018; 47: 1562-70.

Oliver N, Lepri B, Sterly H, et al. Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle.

Sci Adv 2020; 6: eabc0764.

Telenet. Covid-19: Belgium analyses telecom data to measure the impact of confinement. 2020. https://press.telenet.be/covid-19- belgium-analyses-telecom-data-to-measure-the-impact-ofconfinement# (accessed March 25, 2020).

Brockmann D, et al. Covid-19 Mobility Project in Germany. 2020.

https://www.covid-19-mobility.org/ (accessed April 20, 2020).

Denis E, Telle O, Benkimoun S. Mapping the lockdown eefcts in India: how geographers can contribute to tackle Covid-19 diufsion.

2020. http://theconversation.com/mapping-the-lockdown-eefcts-inindia-how-geographers-can-contribute-to-tackle-covid-19- diufsion-136323 (accessed April 20, 2020).

Pepe E, Bajardi P, Gauvin L, et al. COVID-19 outbreak response: a first assessment of mobility changes in Italy following national lockdown. medRxiv 2020; published online April 7. https://doi.org/ 10.1101/2020.03.22.20039933.

Sas A. Community mobility changes due to the coronavirus (COVID-19) outbreak in Poland. 2020. https://www.statista.com/ statistics/1110080/poland-mobility-changes-due-to-covid-19/ (accessed July 7, 2020).

36 references, page 1 of 3
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