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## What is it?
This model builds a Tokyo-based down-scaled simulation environment to explain the eight epidemic trends using agent-based modelling and extended SEIR denotation. Four key factors are being considered, that are 1. vaccination, 2. virus mutation, 3. government policy and 4. PCR test. Simulation period is 2020.01.24 ~ 2023.05.08.
## How it works?
This model reads an external csv file called 'data1.csv', import information related to the four key factors, conduct simulation, output plots and key numbers at each time step.
## How to use it?
Use it in conjuction with the 'data1.csv' file. click 'setup' then click 'go' in the interface. In order to obtain the results faster, it is recommended to unclick 'view updates' so that the simulation speed shall improve dramatically.
## Things to notice
It is noticed that the number of vaccinated agents in 'Vaccination and Antibody' plot drop during the later period of simulation because this model considers population movements, both inbound and outbound. Some may move out of Tokyo after receiving vaccinations.
## Things to try
Readers may compare the simulated results obtained from 'COVID+' plot and the scaled infection cases of Tokyo (population in this model : population of Tokyo Metropolitan Area = 12,527:13,920,000 approximately).
Readers may also try to scale up and down to check the model's stability and verify the feasibility of linear scaling. To do so, readers should change all together the followings: the initial population / simulation environment / hospital capacity and the doses of vaccination/ PCR tests, inbound/outbound population.
Besides, readers are encouraged to modifty the model to reproduce regional COVID-19 epidemic trends, given that data have been correctly collected and regional circumstances have been fully considered.
## Extending the model
Currently this model does not consider the work-from-home rate of Tokyo citizens. But readers may try to complete the function to study the impact of WFH policy during Coronavirus outbreak.
## Related models
## Credits and references
## Acknowledgement
## Contact |
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