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Community-engaged surveys revealed hidden pandemic inequities, informing health equity investments. This approach captured data on underserved populations, leading to more equitable public health actions.

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Area of Science:

  • Public Health
  • Health Equity Research
  • Community-Based Participatory Research

Background:

  • The COVID-19 pandemic exacerbated existing health disparities.
  • Traditional surveillance data often underrepresents vulnerable populations.
  • There was a need for innovative methods to capture pandemic's unequal impact.

Purpose of the Study:

  • To demonstrate how a community-engaged survey identified unmeasured pandemic inequities.
  • To illustrate how this data informed health equity investments.
  • To highlight the value of equity-centered data collection.

Main Methods:

  • A cross-sectional online survey, the Massachusetts COVID-19 Community Impact Survey, was deployed statewide in 11 languages (2020-2021).
  • The survey prioritized community engagement, granular/intersectional data, root cause analysis, and community voices.
  • Data-to-action pathways were established for timely analysis and intervention.

Main Results:

  • The survey yielded a rich dataset with 33,800 respondents, including underrepresented groups.
  • Analyses revealed disproportionate pandemic impacts on basic needs, discrimination, healthcare access, employment, and mental health for priority populations.
  • Specific groups like Asian American/Pacific Islanders and parents experienced significant adverse effects.

Conclusions:

  • Equity-centered data approaches make previously invisible populations visible in public health surveillance.
  • These methods enable more equitable and targeted public health actions.
  • State health departments can and should implement these necessary data strategies.