Schinazi R B
Department of Mathematics, University of Colorado, Colorado Springs 80933-7150, USA.
Math Biosci. 2000 Nov;168(1):1-8. doi: 10.1016/s0025-5564(00)00043-2.
A number of pathogens may be transmitted from parent to child at or before birth (vertically) or from one individual to another by contact (horizontally). A natural deterministic and non-spatial model, introduced by Lipsitch et al. [Proc. Roy. Soc. London Ser. B 260 (1995) 3211 shows that an epidemic is possible if the vertical transmission or the horizontal transmission is high enough. In contrast, we introduce a stochastic spatial model that shows that, on a particular graph, if the vertical transmission is not high enough, then the infected individuals disappear even for very high horizontal transmission. This illustrates the fact that introducing space may greatly change the qualitative behavior of a model.
许多病原体可在出生时或出生前从亲代传播给子代(垂直传播),或通过接触从一个个体传播给另一个个体(水平传播)。Lipsitch等人[《伦敦皇家学会学报B辑》260 (1995) 321]引入的一个自然确定性非空间模型表明,如果垂直传播或水平传播足够高,就可能发生疫情。相比之下,我们引入了一个随机空间模型,该模型表明,在特定图上,如果垂直传播不够高,那么即使水平传播非常高,受感染个体也会消失。这说明了引入空间可能会极大地改变模型的定性行为这一事实。