Maximal reproduction number estimation and identification of transmission rate from the first inflection point of new infectious cases waves: COVID-19 outbreak example

DOI10.1016/j.matcom.2022.02.023OpenAlexW4214599897MaRDI QIDQ2140036

K. Oshinubi, Jacques Demongeot, Jules Waku

Publication date: 20 May 2022

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2022.02.023

zbMATH Keywords

Bernoulliepidemicreproduction numberinflection pointCOVID-19

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Geophysics (86-XX)

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Stationary status of discrete and continuous age-structured population models ⋮ Global stability and analysing the sensitivity of parameters of a multiple-susceptible population model of SARS-CoV-2 emphasising vaccination drive

Cites Work

• Demography in epidemics modelling
• Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data
• What can we learn from COVID-19 data by using epidemic models with unidentified infectious cases?
• ZERO-DIFFUSION DOMAINS IN REACTION–DIFFUSION MORPHOGENETIC AND EPIDEMIOLOGIC PROCESSES
• A robust phenomenological approach to investigate COVID-19 data for France
• Identifying the number of unreported cases in SIR epidemic models

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