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

Infodemic Management (51) Infodemiology and Infoveillance (1405) Infoveillance and Social Listening (222) Outbreak and Pandemic Preparedness and Management (1767) Early Results from COVID-19 Studies (319) Clinical Informatics in Low-Resource Settings and the Developing World (107) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (599) Crowdsourcing and Mechanical Turks (100)

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

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 (1) 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