我们认为在社会上交往的活动个人以内的一个传染病的模型在 2D 网络学习流行繁殖的稳定的状态的行为。Usingmean 地近似和大规模模拟,我们与传染疾病在下面灭绝的批评阀值δ _ c 和 p_c 恢复平常的流行行为。为在δ _ C 上面远的人口密度δ,总体上在接触率λ和人口密度δ之间有线性关系,这被发现。同时,从 mean-Geldapproximation 获得的结果与我们的数字结果相比,并且这二结果总的来说然而并非完全是类似的,这被发现一样。
We consider an epidemical model within soclally interacting mobile individuals to study the behaviors of steady states of epidemic propagation in 2D networks. Using mean-field approximation and large scale simulations, we recover the usual epidemic behavior with critical thresholds δc and pc below which infectious disease dies out. For the population density δ far above δc it is found that there is linear relationship between contact rate λ and the population density δ in the main. At the same time, the result obtained from mean-field approximation is compared with our numerical result, and it is found that these two results are similar by and large but not completely the same.