Author: Yuan Zhang; Chong You; Zhenghao Cai; Jiarui Sun; Wenjie Hu; Xiao-Hua Zhou
Title: Prediction of the COVID-19 outbreak based on a realistic stochastic model Document date: 2020_3_13
ID: 0xzsa21a_72
Snippet: for all t 0 ∈ [0, ∞). However, we would like to specifically bring to the reader's attention that, NO MATTER the size of the total population N , as long as the size of epidemic outbreak is NOT comparable to N , the convergence above in (2.16) DOES NOT imply that the un-renormalized ξ(t) is non-random by itself or that the epidemic involved populations. For example, E 1 (t) andẼ 1 (t) are close to each other in any sense without the rescal.....
Document: for all t 0 ∈ [0, ∞). However, we would like to specifically bring to the reader's attention that, NO MATTER the size of the total population N , as long as the size of epidemic outbreak is NOT comparable to N , the convergence above in (2.16) DOES NOT imply that the un-renormalized ξ(t) is non-random by itself or that the epidemic involved populations. For example, E 1 (t) andẼ 1 (t) are close to each other in any sense without the rescaling factor. Actually the fact that the size of epidemic outbreak is not comparable to N itself already implies that
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