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. 2020 Aug 5:148:e166.
doi: 10.1017/S0950268820001740.

Is Nigeria really on top of COVID-19? Message from effective reproduction number

Affiliations

Is Nigeria really on top of COVID-19? Message from effective reproduction number

A I Adekunle et al. Epidemiol Infect. .

Abstract

Following the importation of coronavirus disease (COVID-19) into Nigeria on 27 February 2020 and then the outbreak, the question is: How do we anticipate the progression of the ongoing epidemic following all the intervention measures put in place? This kind of question is appropriate for public health responses and it will depend on the early estimates of the key epidemiological parameters of the virus in a defined population.In this study, we combined a likelihood-based method using a Bayesian framework and compartmental model of the epidemic of COVID-19 in Nigeria to estimate the effective reproduction number (R(t)) and basic reproduction number (R0) - this also enables us to estimate the initial daily transmission rate (β0). We further estimate the reported fraction of symptomatic cases. The models are applied to the NCDC data on COVID-19 symptomatic and death cases from 27 February 2020 and 7 May 2020.In this period, the effective reproduction number is estimated with a minimum value of 0.18 and a maximum value of 2.29. Most importantly, the R(t) is strictly greater than one from 13 April till 7 May 2020. The R0 is estimated to be 2.42 with credible interval: (2.37-2.47). Comparing this with the R(t) shows that control measures are working but not effective enough to keep R(t) below 1. Also, the estimated fraction of reported symptomatic cases is between 10 and 50%.Our analysis has shown evidence that the existing control measures are not enough to end the epidemic and more stringent measures are needed.

Keywords: Basic reproduction number; COVID-19; Nigeria; effective reproductive number; imported cases.

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Figures

Fig. 1.
Fig. 1.
(a) Baseline effective reproduction number. The light and dark blue colour show 95% and 50% credible interval, respectively, and the solid line is the median estimate. (b) R(t)model fit. The black dashed line is the median estimation of the local cases and the grey area shows a 95% credible interval of the estimated local cases.
Fig. 2.
Fig. 2.
(a) Adjusted effective reproduction number for Nigeria COVID-19 epidemics based on 40% of imported cases contributing to transmission, (b) COVID-19 symptomatic reporting measure.
Fig. 3.
Fig. 3.
Effect of reporting proportion on effective reproduction number. (a) 10% reporting proportion, (b) 50% reporting proportion.
Fig. 4.
Fig. 4.
Model fit and (a) forecast of the cumulative reported cases, (b) COVID-19 deaths.

References

    1. WHO (2020) Situation report −103: WHO; [2 May 2020]. Covid-19 situation report]. Available at https://www.who.int/docs/default-source/coronaviruse/situation-reports/2....
    1. Salzberger B, Glück T and Ehrenstein B (2020) Successful containment of COVID-19: the WHO-Report on the COVID-19 outbreak in China. Springer. - PMC - PubMed
    1. Adegboye OA, Adekunle AI and Gayawan E (2020) Early transmission dynamics of novel coronavirus (COVID-19) in Nigeria. International Journal of Environmental Research and Public Health 17, 3054. - PMC - PubMed
    1. Nigeria Centre for Disease Control. COVID-19 Outbreak in Nigeria Situation Report. Abuja, Nigeria: NCDC, 2020 Contract No.: 001-032.
    1. Mundi I (2019) Nigeria Major infectious diseases: index Mundi; [13 July 2020]. Available at https://www.indexmundi.com/nigeria/major_infectious_diseases.html.

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