Reluga Timothy C, Shim Eunha
Department of Mathematics, The Pennsylvania State University, University Park, PA 16802, USA
Department of Mathematics, University of Tulsa, Tulsa, OK 74104, USA.
Proc Biol Sci. 2014 Dec 7;281(1796):20141901. doi: 10.1098/rspb.2014.1901.
Animal reservoirs for infectious diseases pose ongoing risks to human populations. In this theory of zoonoses, the introduction event that starts an epidemic is assumed to be independent of all preceding events. However, introductions are often concentrated in communities that bridge the ecological interfaces between reservoirs and the general population. In this paper, we explore how the risks of disease emergence are altered by the aggregation of introduction events within bridge communities. In viscous bridge communities, repeated introductions can elevate the local prevalence of immunity. This local herd immunity can form a barrier reducing the opportunities for disease emergence. In some situations, reducing exposure rates counterintuitively increases the emergence hazards because of off-setting reductions in local immunity. Increases in population mixing can also increase emergence hazards, even when average contact rates are conserved. Our theory of bridge communities may help guide prevention and explain historical emergence events, where disruption of stable economic, political or demographic processes reduced population viscosity at ecological interfaces.
传染病的动物宿主持续对人类构成风险。在这种人畜共患病理论中,引发疫情的引入事件被假定为独立于所有先前事件。然而,引入事件往往集中在连接宿主与普通人群生态界面的社区。在本文中,我们探讨了桥梁社区内引入事件的聚集如何改变疾病出现的风险。在粘性桥梁社区中,反复引入可提高当地的免疫流行率。这种局部群体免疫可形成一道屏障,减少疾病出现的机会。在某些情况下,降低接触率反而会增加出现风险,因为局部免疫力会相应降低。人口混合增加也会增加出现风险,即使平均接触率保持不变。我们的桥梁社区理论可能有助于指导预防工作,并解释历史上的疾病出现事件,即稳定的经济、政治或人口进程受到干扰,降低了生态界面处的人口粘性。