COVID-19 Community Action and Research Engagement (COVID-CARE) - Vibrent
Infectious Disease / Pandemics

COVID-19 Community Action and Research Engagement (COVID-CARE)

Collaborator:   NCI, George Mason, VCU

Overview

“COVID-CARE” facilitates digital health technologies as measures to advance public health response and facilitate underlying approaches to future epidemic and pandemic planning.

The Study

The study collects measures across the technology’s performance, usability, and reliability of at-home predictive algorithms for infection and that support individual, organizational, community and societal-level decision-making.

Methodology

The study is a multi-cohort diverse population analysis of augmenting at-home testing with machine learning with clinical machine learning algorithm that can be used to improve sensitivity and provide higher confidence in identifying positive results in terms of infectious disease and outbreaks. It includes:

  • Research-related surveys pertaining to demographics, current symptoms, and an end-user survey to ask how them about their experience in the study and completing these study procedures.
  • At-home rapid antigen COVID-19 tests.
  • Provider-administered PCR COVID-19 test.
  • Additional administrative surveys confirming participant addresses, confirmation of kit received, in-person PCR test completion, and study compensation preferences.

References

  • Alemi F, Guralnik E, Vang J, Wojtusiak J, Peterson R, Roess A, Jain P. Guidelines for Triage of COVID-19 Patients Presenting With Multisystemic Symptoms. Qual Manag Health Care. 2023 Jan-Mar 01;32(Suppl 1):S3-S10. doi: 10.1097/QMH.0000000000000398. PMID: 36579703; PMCID: PMC9811482.
  • Alemi F, Vang J, Bagais WH, Guralnik E, Wojtusiak J, Moeller FG, Schilling J, Peterson R, Roess A, Jain P. Combined Symptom Screening and At-Home Tests for COVID-19. Qual Manag Health Care. 2023 Jan-Mar 01;32(Suppl 1):S11-S20. doi: 10.1097/QMH.0000000000000404. PMID: 36579704; PMCID: PMC9811480.
  • Plunk A, Sheehan B, Orr S, Gartner D, Moeller FG, Jain P. Stemming the tide of distrust: A mixed-methods study of vaccine hesitancy. J Clin Transl Sci. 2022 Nov 9;6(1):e128. doi: 10.1017/cts.2022.492. PMID: 36590354; PMCID: PMC9794956.
  • Schilling J, Moeller FG, Peterson R, Beltz B, Joshi D, Gartner D, Vang J, Jain P. Testing the Acceptability and Usability of an AI-Enabled COVID-19 Diagnostic Tool Among Diverse Adult Populations in the United States. Qual Manag Health Care. 2023 Jan-Mar 01;32(Suppl 1):S35-S44. doi: 10.1097/QMH.0000000000000396. PMID: 36579707; PMCID: PMC9811483.
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