Parameter identification in epidemic models

DOI10.1016/j.mbs.2010.12.004zbMath1208.92067OpenAlexW2078886518WikidataQ37824729 ScholiaQ37824729MaRDI QIDQ630993

Karl Peter Hadeler

Publication date: 22 March 2011

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2010.12.004

zbMATH Keywords

incidenceprevalencetransmission rate

Mathematics Subject Classification ID

Epidemiology (92D30) Dynamical systems in biology (37N25) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Related Items (11)

What can we learn from COVID-19 data by using epidemic models with unidentified infectious cases? ⋮ Calibration and prediction for the inexact SIR model ⋮ The parameter identification problem for SIR epidemic models: identifying unreported cases ⋮ Studying the recovery procedure for the time-dependent transmission rate(s) in epidemic models ⋮ Extracting the time-dependent transmission rate from infection data via solution of an inverse ODE problem ⋮ Forecasting epidemics through nonparametric estimation of time-dependent transmission rates using the SEIR model ⋮ The inverse method for a childhood infectious disease model with its application to pre-vaccination and post-vaccination measles data ⋮ Mechanistic modelling of multiple waves in an influenza epidemic or pandemic ⋮ Reconstruction of disease transmission rates: applications to measles, dengue, and influenza ⋮ Transmission dynamics of acute respiratory diseases in a population structured by age ⋮ Parameter identification for a stochastic \textit{SEIRS} epidemic model: case study influenza

Cites Work

• Unnamed Item
• Subharmonic bifurcation in an S-I-R epidemic model
• Periodic solutions of an epidemic model
• Statistical Studies of Infectious Disease Incidence
• Time Series Modelling of Childhood Diseases: A Dynamical Systems Approach

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