Quantifying Contact Patterns: Development and Characteristics of the British Columbia COVID-19 Population Mixing Patterns Survey

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Abstract

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  1. SciScore for 10.1101/2021.08.10.21261872: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Ethics: Informed consent was sought on the survey start page.
    IRB: The study was reviewed and approved by the University of British Columbia Behavioral Research Ethics Board (No: H20-01785).
    Sex as a biological variablenot detected.
    RandomizationParticipant and public involvement: The initial version of the BC-Mix survey was first piloted with a randomly selected sample of the BC population and feedback received was incorporated in the final version before the official launch.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Participant recruitment: To capture participants from a broad demographic range, the survey invitation and survey are disseminated through Instagram, Facebook, YouTube, WhatsApp, Twitter, and Google search engine results pages.
    Google
    suggested: (Google, RRID:SCR_017097)

    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:
    Another limitation to mention is the large number of recruits that were ineligible and the attrition between successive rounds of survey. This could be related to survey fatigue, or the time required to complete the survey. Our survey has several strengths. Web-based surveys like the BC-Mix provide timely information for pandemic response (45). Also, during an infectious disease pandemic, web-based surveys offer a more convenient approach to data collection compared to in-person or other modes of data collection. We also found paid advertisements to be more cost effective compared to the cost of panel data from survey companies (36). An additional strength of our study is its large sample size. Our total recruited sample of over 61,000 participants compares to the 1,356 participants in the U.K CoMix study (12), the 9,743 participants in the BICS study (17) study, 1,542 participants in the Belgian CoMix study (7) and the 7,290 participants in the POLYMOD study (14). In addition, because we opted to achieve representativeness post-data collection (at the analysis stage), we were able to consider many important variables besides age and sex in our weighting strategy. It would have been logistically challenging to consider all these variables had we used quota-sampling given that many market research company panels were limited in terms recruitment by age, sex, and geography. Using many auxiliary variables in our weighting strategy increased the representativeness of the BC popul...

    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.
    • Thank you for including a protocol registration statement.

    Results from scite Reference Check: We found no unreliable references.


    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.