Published on in Vol 4 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50125, first published .
Collective Intelligence–Based Participatory COVID-19 Surveillance in Accra, Ghana: Pilot Mixed Methods Study

Collective Intelligence–Based Participatory COVID-19 Surveillance in Accra, Ghana: Pilot Mixed Methods Study

Collective Intelligence–Based Participatory COVID-19 Surveillance in Accra, Ghana: Pilot Mixed Methods Study

Gifty Marley   1 * , BSc, MSc, PhD ;   Phyllis Dako-Gyeke   2 * , PhD ;   Prajwol Nepal   1 , PhD ;   Rohini Rajgopal   1 , MScPH, MBA ;   Evelyn Koko   2 , MBA ;   Elizabeth Chen   3 , PhD ;   Kwabena Nuamah   4 , PhD ;   Kingsley Osei   4 , MSc ;   Hubertus Hofkirchner   5 , PhD ;   Michael Marks   6, 7 , PhD ;   Joseph D Tucker   6, 8 , PhD ;   Rosalind Eggo   6 , PhD ;   William Ampofo   9 , PhD ;   Sean Sylvia   1 , PhD

1 Department of Health Policy and Management, University of North Carolina, Chapel Hill, NC, United States

2 Department of Social and Behavioral Sciences, School of Public Health, University of Ghana, Accra, Ghana

3 Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States

4 Cognate Systems Company Limited, Accra, Ghana

5 Prediki Prediction Markets GmbH, Vienna, Austria

6 Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom

7 Division of Infection and Immunity, University College London, London, United Kingdom

8 Institute for Global Health and Infectious Diseases, University of North Carolina, Chapel Hill, NC, United States

9 Noguchi Memorial Institute of Medical Research, University of Ghana, Accra, Ghana

*these authors contributed equally

Corresponding Author:

  • Sean Sylvia, PhD
  • Department of Health Policy and Management, University of North Carolina
  • 1101D McGavran-Greenberg Hall
  • CB #7411 Chapel Hill, NC 27599-7411
  • Chapel Hill, NC, 27599
  • United States
  • Phone: 1 919 966 6328
  • Email: sysylvia@email.unc.edu