Simple simulation of COVID-19 Spreading
基于Ele实验室的JAVA版疫情模拟代码(https://github.com/KikiLetGo/VirusBroadcast)
在一位b站up主的python简易版代码(https://github.com/davycloud/virusdemo) 的基础上加入了
医院病床,
医院接受病人的响应时间,
隔离状态等条件参数
并且优化了部分传播途径(如确诊但未隔离患者具备更强的感染性)
后续有空可能会再加入治愈和死亡状态
Based on the java version of Ele lab (https://github.com/KikiLetGo/VirusBroadcast)
On the basis of a simple python version of a Btuber (https://github.com/davycloud/virusdemo), I added some new parameters into the python version:
Hospital beds,
Hospital response time from confirming a case to accept the case,
Isolation status
And also optimize some codes for infection (e.g., set a higher infectious rate for confirmed cases without isolation)
Will add cured cases and death cases into the codes if possible.
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