Next Article in Journal
Leveraging Quasi-Experimental Methods to Estimate Model Structure: Understanding School Funding Changes in Response to Court Orders
Next Article in Special Issue
Cognitive Network Science Reconstructs How Experts, News Outlets and Social Media Perceived the COVID-19 Pandemic
Previous Article in Journal
Systems Thinking: A Review and Bibliometric Analysis
Previous Article in Special Issue
Effectiveness of the Early Response to COVID-19: Data Analysis and Modelling
Article

Mathematical Modeling and Simulation of the COVID-19 Pandemic

Department of Mathematics, Technische Universität Berlin, D-10623 Berlin, Germany
Received: 22 April 2020 / Revised: 1 July 2020 / Accepted: 6 July 2020 / Published: 13 July 2020
The current pandemic is a great challenge for several research areas. In addition to virology research, mathematical models and simulations can be a valuable contribution to the understanding of the dynamics of the pandemic and can give recommendations to physicians and politicians. Based on actual data of people infected with COVID-19 from the European Center for Disease Prevention and Control (ECDC), input parameters of mathematical models will be determined and applied. These parameters will be estimated for the UK, Italy, Spain, and Germany and used in an S I R -type model. As a basis for the model’s calibration, the initial exponential growth phase of the COVID-19 pandemic in the named countries is used. Strategies for the commencing and ending of social and economic shutdown measures are discussed. View Full-Text
Keywords: mathematical epidemiology; SIR-type model; model parameter estimation; non-pharmaceutical intervention; dynamical systems; COVID-19/SARS-CoV2 mathematical epidemiology; SIR-type model; model parameter estimation; non-pharmaceutical intervention; dynamical systems; COVID-19/SARS-CoV2
Show Figures

Figure 1

MDPI and ACS Style

Bärwolff, G. Mathematical Modeling and Simulation of the COVID-19 Pandemic. Systems 2020, 8, 24. https://0-doi-org.brum.beds.ac.uk/10.3390/systems8030024

AMA Style

Bärwolff G. Mathematical Modeling and Simulation of the COVID-19 Pandemic. Systems. 2020; 8(3):24. https://0-doi-org.brum.beds.ac.uk/10.3390/systems8030024

Chicago/Turabian Style

Bärwolff, Günter. 2020. "Mathematical Modeling and Simulation of the COVID-19 Pandemic" Systems 8, no. 3: 24. https://0-doi-org.brum.beds.ac.uk/10.3390/systems8030024

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop