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.

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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
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article

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

Antoinette H. Wright, Laura Skrip, Jeremy Brown, Mukhtar Abdulmajid Adeiza et al.
BMJ Public Health
Data-Driven Disease Surveillance
article

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

Antoinette H. Wright, Laura Skrip, Jeremy Brown, Mukhtar Abdulmajid Adeiza, Wahdae-Mai Harmon-Gray, Heounohu Romello Hessou
article en

Abstract

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.

BMJ Public HealthVol. 2(2)
University of Liberia (LR), Ahmadu Bello University Teaching Hospital (NG), National Public Health Institute of Liberia (LR)
Sustainable cities and communities
Openalex Percentile: Top 70%
Data-Driven Disease Surveillance
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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 — Antoinette H. Wright, Laura Skrip, et al. · BMJ Public Health (2024) | TGRS Research Map | TGRS