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Research Article
Mehrdad Ghaemi
Chemistry Department, Kharazmi University, Tehran, Iran
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
A cellular automata model for simulating the epidemic dynamics of COVID-19 disease in a small city is given. In the model, people are allowed to leave and return to their homes, and the time of the peak in different quarantine conditions is estimated. It is shown that the removal of quarantine conditions, even one month after reaching the peak, increases the number of total infected and total dead cases significantly.
Keywords
COVID-19, cellular automata model, epidemic dynamics
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Mehrdad Ghaemi
Chemistry Department, Kharazmi University, Tehran, Iran
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 27 May, 2020
Community comments: 1
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Statistical Epidemiology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
A cellular automata model for simulating the epidemic dynamics of COVID-19 disease in a small city is given. In the model, people are allowed to leave and return to their homes, and the time of the peak in different quarantine conditions is estimated. It is shown that the removal of quarantine conditions, even one month after reaching the peak, increases the number of total infected and total dead cases significantly.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
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