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

  1. Giulia Pullano
  2. Eugenio Valdano
  3. Nicola Scarpa
  4. Stefania Rubrichi
  5. Vittoria Colizza

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Abstract

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  1. Version published to 10.1016/s2589-7500(20)30243-0
  2. ScreenIT

    SciScore for 10.1101/2020.05.29.20097097: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Prophet decomposes a time series into non-periodic and periodic components which then are fitted using MCMC (Appendix S2).
    Prophet
    suggested: (Prophet, RRID:SCR_017083)
    We used standard Python libraries, among which NetworkX.
    Python
    suggested: (IPython, RRID:SCR_001658)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Our study has limitations. Despite the widespread use of mobile phone data to quantify mobility4, potential sources of inaccuracy traditionally exist: population representativeness, geographic coverage, and heterogeneity in user activity. We used passively-collected signaling data, that improve temporal accuracy and do not depend on activity behavior, compared to traditional call details records. Data owner pre-processed the data to be representative of the general population. Large population displacements may also bias regional activity measures. However, the associations we found were robust after removing Île-de-France, the region mostly affected by the pre-lockdown exodus. Our study is observational, therefore caution is needed in drawing causal relations between the covariates and changes in mobility. Also, the available sample was too small to statistically measure confounding effects rigorously. Mobility restrictions had the goal of relieving the strain on the healthcare system caused by rapidly increasing hospitalization rates. The effectiveness of these top-down measures was unknown beforehand. Our study showed that different effects were observed across scales, with larger disruptions on long-range connections leading to a localization of the mobility. By associating heterogeneous performances of travel restrictions to both a priori population features (socioeconomic, demographic), and behavioral adaptations to the epidemic and to restrictions themselves, our findi...

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2020.05.29.20097097 on medRxiv