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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
Summary
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.
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