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The COVID-19 pandemic preparedness simulation tool: CovidSIM.
Kristan A Schneider1, Gideon A Ngwa2,3, Markus Schwehm4
1Department of Applied Computer- and Bio-Sciences, University of Applied Sciences Mittweida, Technikumplatz 17, Mittweida, 09648, Germany. kristan.schneider@hs-mittweida.de.
BMC Infectious Diseases
|November 20, 2020
Summary
Implementing strict contact reduction strategies, including isolation and social distancing, can significantly delay the COVID-19 epidemic peak. These measures effectively reduce peak infection numbers, aiding pandemic management.
Area of Science:
- Epidemiology
- Public Health
- Computational Modeling
Background:
- Effective COVID-19 pandemic management requires balancing economic and practical interventions.
- Simulation models are crucial for forecasting scenarios and supporting decision-making.
Purpose of the Study:
- To present an advanced extension of the SEIR model for COVID-19 pandemic simulation.
- To introduce CovidSIM Version 1.0, an accessible web tool for interactive simulations.
- To evaluate the impact of various interventions on epidemic trajectories using Austrian data.
Main Methods:
- Utilized an extended compartmental SEIR (Susceptible-Exposed-Infectious-Recovered) model.
- Developed CovidSIM Version 1.0, a web-based simulation interface.
- Applied parameters reflecting the COVID-19 situation in Austria.
Main Results:
- Strict contact reduction, including isolation of infected individuals, substantially delays the epidemic peak.
- Home isolation of infected individuals effectively reduces the peak height.
- Social distancing measures, such as curfews and enhanced hygiene, also delay the epidemic peak.
Conclusions:
- Contact-reducing interventions are efficient in delaying the epidemic peak.
- These measures may also decrease peak infection numbers, influenced by disease transmissibility seasonality.
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