当前位置:
X-MOL 学术
›
Int. J. Biomath.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Epidemic modeling: Diffusion approximation vs. stochastic differential equations allowing reflection
International Journal of Biomathematics ( IF 2.4 ) Pub Date : 2021-03-05 , DOI: 10.1142/s1793524521500364 Mohamed El Fatini 1 , Mohammed Louriki 2 , Roger Pettersson 3 , Zarife Zararsiz 4
International Journal of Biomathematics ( IF 2.4 ) Pub Date : 2021-03-05 , DOI: 10.1142/s1793524521500364 Mohamed El Fatini 1 , Mohammed Louriki 2 , Roger Pettersson 3 , Zarife Zararsiz 4
Affiliation
A birth–death process is considered as an epidemic model with recovery and transmittance from outside. The fraction of infected individuals is for huge population sizes approximated by a solution of an ordinary differential equation taking values in [ 0 , 1 ] . For intermediate size or semilarge populations, the fraction of infected individuals is approximated by a diffusion formulated as a stochastic differential equation. That diffusion approximation however needs to be killed at the boundary { 0 } ∪ { 1 } . An alternative stochastic differential equation model is investigated which instead allows a more natural reflection at the boundary.
中文翻译:
流行病建模:扩散近似与允许反射的随机微分方程
生死过程被认为是一种具有外部恢复和传播的流行模型。感染个体的比例是针对庞大的人口规模,通过常微分方程的解来近似,取值[ 0 , 1 ] . 对于中等规模或半大型人群,感染个体的比例通过公式为随机微分方程的扩散来近似。然而,该扩散近似需要在边界处被杀死{ 0 } ∪ { 1 } . 研究了另一种随机微分方程模型,它允许在边界处进行更自然的反射。
更新日期:2021-03-05
中文翻译:
流行病建模:扩散近似与允许反射的随机微分方程
生死过程被认为是一种具有外部恢复和传播的流行模型。感染个体的比例是针对庞大的人口规模,通过常微分方程的解来近似,取值