Introduction
Tutorial
Submission
This server provides a computational tool to predict epidemics' spreading based on a stochastic individual dynamical (SID) model. This SID model was designed to mimic the propagation's random and heterogeneous nature by tracking everyone's motion. It offers a unifying framework for representing the spatiotemporal variations of the epidemic development. A detailed description of the code and the parameters could be found on the Tutorial page. Please refer to that section before using our program.
If you use this server, please cite the following reference when publishing your work:" Individual dynamics and local heterogeneity provide a microscopic view of the epidemic spreading," Youyuan Zhu, Ruizhe Shen, Hao Dong,* & Wei Wang*, (2020)
Should you have any questions, please contact Prof. Hao Dong by Email: donghao@nju.edu.cn
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User's email *
Job name *
particle number, N
box length, L
temperature, T
recording interval（in 10-3 day）
simulation time (in day)
dynamic pattern
Extra Parameters
