SimBiology COVID-19 SEIR Model Examples
SimBiology implementations of COVID-19 SEIR models from literature
https://github.com/mathworks-simbiology/COVID-19-SEIRModelExamples
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This submission includes SimBiology implementations of COVID-19 SEIR models presented in [1] and [2].
[1] Joseph T Wu*, Kathy Leung*, Gabriel M Leung, Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study, Lancet 2020; 395: 689–97 https://www.thelancet.com/action/showPdf?pii=S0140-6736%2820%2930260-9
[2] Qianying Lin et al., A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action, International Journal of Infectious Diseases 2020; 93: 211-216. https://www.ijidonline.com/article/S1201-9712(20)30117-X/fulltext#%20
Cite As
Fulden Buyukozturk (2026). SimBiology COVID-19 SEIR Model Examples (https://github.com/mathworks-simbiology/COVID-19-SEIRModelExamples), GitHub. Retrieved .
General Information
- Version 1.0.1 (250 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with R2019b and later releases
Platform Compatibility
- Windows
- macOS
- Linux
Communities
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.1 | Updated release compatibility info |
||
| 1.0.0 |
