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Modeling analysis of a SEIQR epidemic model to assess the impact of undetected cases , and predict the early peack of the COVID-19 outbreak in Cameroon

Article scientifique 2020 Anglais

Résumé

Abstract COVID-19 is a highly contagious disease, and the strain is severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It belongs to the coronavirus family, which can result in benign diseases in humans, such as a cold, and can also cause serious pathologies such as Severe Acute Respiratory Syndrome (SARS). In this study, we have modeled the COVID-19 epidemic in Cameroon. We used early reported case data to predict the peak, assess the impact of containment measures, and the impact of undetected infected people on the epidemic trend and characteristics of COVID-19. The basic reproduction number is computed using Lyapunov functions, and the global stability of disease-free and endemic equilibrium are demonstrated.

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LEONTINE, N., LUTHER, M., TIMOTHEE, M., Mbang, J. (2020). Modeling analysis of a SEIQR epidemic model to assess the impact of undetected cases , and predict the early peack of the COVID-19 outbreak in Cameroon. https://doi.org/10.21203/rs.3.rs-64201/v1

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Auteur(s)

NKAGUE NKAMBA LEONTINE MAYOMBE MANN MARTIN LUTHER MANGA THOMAS TIMOTHEE Joseph Mbang

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