Evaluation of the performance of the Influenza-like Illness (ILI) surveillance system in the Okai Koi North District, Greater Accra Region, 2022
The system is useful as its meeting most of its objectives and it is sensitive. The system though complex, is flexible, representative, timely in most activities and has good data quality. We urge national stakeholders to establish thresholds for system.
Authors
- Dennis Odai Laryea (ORCID: https://orcid.org/0000-0003-2212-084X)
- Anthony Baffour Appiah (ORCID: https://orcid.org/0000-0001-6559-8507)
- Delia Akosua Bandoh (ORCID: https://orcid.org/0000-0002-0281-5321)
- Ivy Asantewaa Asante (ORCID: https://orcid.org/0000-0003-4077-3190)
- Ernest Kenu (ORCID: https://orcid.org/0000-0001-8007-0073)
- Elijah Paa Edu- Quansah
- Charles Lwanga Noora (ORCID: https://orcid.org/0000-0002-7926-9891)
- Doris Aboagyewaa Edu-Quansah
Institutions
- University of Ghana (GH)
- Noguchi Memorial Institute for Medical Research (GH)
- Ghana Health Service (GH)
- African Field Epidemiology Network (UG)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1371/journal.pone.0332334
- Primary Topic
- Influenza Virus Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00