Addressing data quality issues to assess clinical and epidemiological risk factors for COVID-19 among documented cases in Liberia: a single-centre, retrospective, observational study
Results from this retrospective analysis highlight self-reported non-communicable diseases as well as residence outside of largely urbanised Montserrado County as factors associated with COVID-19 severity among presenting cases in Liberia. The findings, both in terms of analytical results and data quality concerns, offer insight into how access to the highly centralised health systems and processes in Liberia may have affected populations distant from the central response in terms not only of COVID-19 disease outcomes but also care-seeking behaviour and surveillance effectiveness. This has implications for surveillance and response across priority diseases.
Authors
- Antoinette H. Wright (ORCID: https://orcid.org/0009-0007-9822-7586)
- Laura Skrip (ORCID: https://orcid.org/0000-0002-7952-0660)
- Jeremy Brown (ORCID: https://orcid.org/0000-0002-5650-5361)
- Mukhtar Abdulmajid Adeiza (ORCID: https://orcid.org/0000-0003-3312-0749)
- Wahdae-Mai Harmon-Gray
- Heounohu Romello Hessou (ORCID: https://orcid.org/0009-0009-1963-1930)
Institutions
- University of Liberia (LR)
- Ahmadu Bello University Teaching Hospital (NG)
- National Public Health Institute of Liberia (LR)
Publication Details
- Journal
- BMJ Public Health
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1136/bmjph-2023-000230
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00