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Cohort profile: the British Columbia COVID-19 Population Mixing Patterns Survey (BC-Mix)

Prince A Adu1,2, Mawuena Binka1, Bushra Mahmood3

  • 1BC Centre for Disease Control, Vancouver, British Columbia, Canada.

BMJ Open
|August 24, 2022
PubMed

Insights

The BC COVID-19 Population Mixing Patterns Survey (BC-Mix) tracks public behavior to guide COVID-19 control measures. This study details the survey

Area of Science:

  • Public Health
  • Epidemiology
  • Social Science

Background:

  • COVID-19 pandemic necessitated non-pharmaceutical interventions (NPIs) in British Columbia (BC).
  • NPIs like physical distancing and handwashing were implemented to minimize infection spread.
  • Effective public health policy requires understanding population behavior and contact patterns.

Purpose of the Study:

  • To describe the design of the BC COVID-19 Population Mixing Patterns Survey (BC-Mix).
  • To characterize the demographic profile of survey respondents.
  • To establish a surveillance system for informing COVID-19 control measure adjustments.

Main Methods:

  • An ongoing, repeated online survey initiated in September 2020.
  • Participant recruitment primarily through social media platforms.
  • Responses weighted by BC population demographics (age, sex, geography, ethnicity) for generalizability.
  • Integration of census and location data for additional socio-economic indices.

Main Results:

  • Over 41,000 eligible baseline responses collected by July 2021.
  • Weighted demographics: ~50% female, ~39% aged 55+, ~65% identified as white, ~50% with university degrees.
  • High consent rates for follow-up surveys and linkage to healthcare data.

Conclusions:

  • The BC-Mix survey provides valuable data on population behavior during the COVID-19 pandemic.
  • Findings support evidence-based adjustments to public health interventions.
  • Future publications will detail contact patterns, intervention impacts, and vaccine acceptance.
Abstract

Keywords:
COVID-19EpidemiologyHealth & safetyPUBLIC HEALTH

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