Modeling of COVID-19 propagation with compartment models

DOI10.1007/s00591-021-00312-9zbMath1501.92142OpenAlexW3210842621MaRDI QIDQ2088175

Günter Bärwolff

Publication date: 21 October 2022

Published in: Mathematische Semesterberichte (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00591-021-00312-9

zbMATH Keywords

SIR-type modelmathematical epidemiologymodel parameter estimationCOVID-19/SARS-CoV-2

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of stochastic analysis (to PDEs, etc.) (60H30) Medical epidemiology (92C60)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• An introduction to mathematical modeling of infectious diseases
• Optimization of fishing strategies in space and time as a non-convex optimal control problem
• Comparison of deterministic and stochastic SIS and SIR models in discrete time
• Beyond just ``flattening the curve: optimal control of epidemics with purely non-pharmaceutical interventions
• Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan
• Size and timescale of epidemics in the SIR framework
• On COVID-19 modelling
• Riccati differential equations
• Modeling with Itô Stochastic Differential Equations
• Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China
• Dynamics in a simple evolutionary-epidemiological model for the evolution of an initial asymptomatic infection stage
• On a stochastic integral equation
• Analytical solution of the SIR-model for the temporal evolution of epidemics. Part A: time-independent reproduction factor
• Numerik für Ingenieure, Physiker und Informatiker
• Uncertainty theory

This page was built for publication: Modeling of COVID-19 propagation with compartment models