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This paper is in the following e-collection/theme issue:

Infodemic Management (77) Infodemiology and Infoveillance (1960) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (955) Crowdsourcing and Mechanical Turks (112) Clinical Informatics in Low-Resource Settings and the Developing World (173) Outbreak and Pandemic Preparedness and Management (1952) Early Results from COVID-19 Studies (452) Infoveillance and Social Listening (393)

Published on in Vol 4 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50125, first published .
Laptop displaying COVID-19 Prediction Market for Ghana, with user hands typing

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

Authors of this article:

Gifty Marley1 Author Orcid Image ;   Phyllis Dako-Gyeke2 Author Orcid Image ;   Prajwol Nepal1 Author Orcid Image ;   Rohini Rajgopal1 Author Orcid Image ;   Evelyn Koko2 Author Orcid Image ;   Elizabeth Chen3 Author Orcid Image ;   Kwabena Nuamah4 Author Orcid Image ;   Kingsley Osei4 Author Orcid Image ;   Hubertus Hofkirchner5 Author Orcid Image ;   Michael Marks6, 7 Author Orcid Image ;   Joseph D Tucker6, 8 Author Orcid Image ;   Rosalind Eggo6 Author Orcid Image ;   William Ampofo9 Author Orcid Image ;   Sean Sylvia1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Mesquita S, Perfeito L, Paolotti D, Gonçalves-Sá J, Villanueva C. Epidemiological methods in transition: Minimizing biases in classical and digital approaches. PLOS Digital Health 2025;4(1):e0000670 View
  2. Malingumu E, Kisendi D, Kabore R, Guerde O, Mugerwa M, He Q. Feasibility of AI-driven disease surveillance systems at international airports in sub-Saharan Africa: a narrative review. Frontiers in Public Health 2026;14 View