A Hybrid Modeling Technique of Epidemic Outbreaks with Application to COVID-19 Dynamics in West Africa

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AuteurTOVISSODE, FREDERIC CHENANGNON
AuteurDOUMATE, TELE JONAS
AuteurGLELE KAKAI, A ROMAIN LUCAS
Date d'ajout2026-06-02T16:06:57Z
Date de disponibilite2026-06-02T16:06:57Z
Date de publication2021
ResumeThe widely used logistic model for epidemic case reporting data may be either restrictive or unrealistic in presence of containment measures when implemented after an epidemic outbreak. For flexibility in epidemic case reporting data modeling, we combined an exponential growth curve for the early epidemic phase with a flexible growth curve to account for the potential change in growth pattern after implementation of containment measures. We also fitted logistic regression models to recoveries and deaths from the confirmed positive cases. In addition, the growth curves were integrated into a SIQR (Susceptible, Infective, Quarantined, Recovered) model framework to provide an overview on the modeled epidemic wave. We focused on the estimation of: (1) the delay between the appearance of the first infectious case in the population and the outbreak (“epidemic latency period”); (2) the duration of the exponential growth phase; (3) the basic and the time-varying reproduction numbers; and (4) the peaks (time and size) in confirmed positive cases, active cases and new infections. The application of this approach to COVID-19 data from West Africa allowed discussion on the effectiveness of some containment measures implemented across the region
DOI10.3390/biology10050365
Autre identifiantBECDB-11203
URIhttps://dspace.uac.bj/handle/123456789/9859
Languefr
Fait partie deMultidisciplinary Digital Publishing Institute/Biology
Sujetgrowth model
Sujetepidemic latency period
Sujetreproduction number
SujetWest Africa
TitreA Hybrid Modeling Technique of Epidemic Outbreaks with Application to COVID-19 Dynamics in West Africa
TypeArticle

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