ArticleScientific African2022
Investigating the transmission dynamics of SARS-CoV-2 in Nigeria: A SEIR modelling approach.
Article in Scientific African, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Sleep quality and hypertension in an indigenous African population: a cross-sectional investigation from the COMBAT-CVDs study.Journal of human hypertension · 2025Article
- COVID-19 dynamics and immune response: Linking within-host and between-host dynamics.Chaos, solitons, and fractals · 2023Article
- Impact analysis of COVID-19 on Nigerian workers' productivity using multiple correspondence analysis.Scientific African · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
This study was designed to investigate the transmission dynamics of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to inform policy advisory vital for managing the spread of the virus in Nigeria. We applied the Susceptible-Exposed-Infectious-Recovered (SEIR)-type predictive model to discern the transmission dynamics of SARS-CoV-2 at different stages of the pandemic; incidence, during and after the lockdown from 27th March 2020 to 22nd September 2020 in Nigeria. Our model was calibrated with the COVID-19 data (obtained from the Nigeria Centre for Disease Control) using the "lsqcurvefit" package in MATLAB to fit the "cumulative active cases" and "cumulative death" data. We adopted the Latin hypercube sampling with a partial rank correlation coefficient index to determine the measure of uncertainty in our parameter estimation at a 99% confidence interval (CI). At the incidence of SARS-CoV-2 in Nigeria, the basic reproduction number (
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