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. 2022 Apr 14;17(4):e0264839.
doi: 10.1371/journal.pone.0264839. eCollection 2022.

Performance of COVID-19 case-based surveillance system in FCT, Nigeria, March 2020 -January 2021

Affiliations

Performance of COVID-19 case-based surveillance system in FCT, Nigeria, March 2020 -January 2021

Chikodi Modesta Umeozuru et al. PLoS One. .

Abstract

Introduction: The emergence of novel SARS-CoV-2 has caused a pandemic of Coronavirus Disease 19 (COVID-19) which has spread exponentially worldwide. A robust surveillance system is essential for correct estimation of the disease burden and containment of the pandemic. We evaluated the performance of COVID-19 case-based surveillance system in FCT, Nigeria and assessed its key attributes.

Methods: We used a cross-sectional study design, comprising a survey, key informant interview, record review and secondary data analysis. A self-administered, semi-structured questionnaire was administered to key stakeholders to assess the attributes and process of operation of the surveillance system using CDC's Updated Guidelines for Evaluation of Public Health Surveillance System 2001. Data collected alongside surveillance data from March 2020 to January 2021 were analyzed and summarized using descriptive statistics.

Results: Out of 69,338 suspected cases, 12,595 tested positive with RT-PCR with a positive predictive value (PPV) of 18%. Healthcare workers were identified as high-risk group with a prevalence of 23.5%. About 82% respondents perceived the system to be simple, 85.5% posited that the system was flexible and easily accommodates changes, 71.4% reported that the system was acceptable and expressed willingness to continue participation. Representativeness of the system was 93%, stability 40%, data quality 56.2% and timeliness 45.5%, estimated result turnaround time (TAT) was suboptimal.

Conclusion: The system was found to be useful, simple, flexible, sensitive, acceptable, with good representativeness but the stability, data quality and timeliness was poor. The system meets initial surveillance objectives but rapid expansion of sample collection and testing sites, improvement of TAT, sustainable funding, improvement of electronic database, continuous provision of logistics, supplies and additional trainings are needed to address identified weaknesses, optimize the system performance and meet increasing need of case detection in the wake of rapidly spreading pandemic. More risk-group persons should be tested to improve surveillance effectiveness.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Information flow in FCT COVID-19 surveillance system.
Fig 2
Fig 2. Distribution of suspected and confirmed COVID-19 cases in FCT from March 2020-January 2021.
Fig 3
Fig 3. Trend of COVID-19 confirmed cases in FCT from March 2020—January 2021.
Fig 4
Fig 4. Time taken to complete reports in FCT COVID-19 surveillance system, March 2020-January 2021.
Fig 5
Fig 5. Age-sex distribution of COVID-19 cases in FCT from March 2020-January 2021.
Fig 6
Fig 6. Distribution of respondents’ perception on FCT COVID-19 surveillance system attributes.

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References

    1. WHO. WHO Coronavirus (COVID-19) Dashboard With Vaccination Data. Available from: https://covid19.who.int/
    1. Shi Y, Wang G, peng Cai X, wen Deng J, Zheng L, hong Zhu H, et al.. An overview of COVID-19. J Zhejiang Univ Sci B. 2020;21(5):343–60. Available from: https://pubmed.ncbi.nlm.nih.gov/32425000/ doi: 10.1631/jzus.B2000083 - DOI - PMC - PubMed
    1. Elimian KO, Ochu CL, Ilori E, Oladejo J, Igumbor E, Steinhardt L, et al.. Descriptive epidemiology of coronavirus disease 2019 in Nigeria, 27 February-6 June, 2020. Epidemiol Infect. 2020;148:1–16. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506173/ - PMC - PubMed
    1. NCDC. COVID-19 Situation Report. Available from: https://ncdc.gov.ng/diseases/sitreps/An update of COVID-19 outbreak in Nigeria_220121_4
    1. Elimian KO, Ochu CL, Ebhodaghe B, Myles P, Crawford EE, Igumbor E, et al.. Patient characteristics associated with COVID-19 positivity and fatality in Nigeria: retrospective cohort study. BMJ Open. 2020;10(12):e044079. Available from: https://bmjopen.bmj.com/content/10/12/e044079 doi: 10.1136/bmjopen-2020-044079 - DOI - PMC - PubMed