a Department of Mathematics and Applied Mathematics , Virginia Commonwealth University , 1015 Floyd Avenue, Richmond 23284 , VA , USA.
J Biol Dyn. 2013;7:254-75. doi: 10.1080/17513758.2013.853844.
Many factors influencing disease transmission vary throughout and across populations. For diseases spread through multiple transmission pathways, sources of variation may affect each transmission pathway differently. In this paper we consider a disease that can be spread via direct and indirect transmission, such as the waterborne disease cholera. Specifically, we consider a system of multiple patches with direct transmission occurring entirely within patch and indirect transmission via a single shared water source. We investigate the effect of heterogeneity in dual transmission pathways on the spread of the disease. We first present a 2-patch model for which we examine the effect of variation in each pathway separately and propose a measure of heterogeneity that incorporates both transmission mechanisms and is predictive of R(0). We also explore how heterogeneity affects the final outbreak size and the efficacy of intervention measures. We conclude by extending several results to a more general n-patch setting.
许多影响疾病传播的因素在不同人群和不同时期都会发生变化。对于通过多种传播途径传播的疾病,变异源可能会以不同的方式影响每种传播途径。在本文中,我们考虑了一种可以通过直接和间接传播的疾病,例如通过水传播的霍乱。具体来说,我们考虑了一个具有多个斑块的系统,其中直接传播完全在斑块内发生,而间接传播则通过单个共享水源进行。我们研究了双传播途径中的异质性对疾病传播的影响。我们首先提出了一个 2 斑块模型,分别研究了每个途径的变异的影响,并提出了一个包含两种传播机制且可预测 R(0)的异质性度量。我们还探讨了异质性如何影响最终的爆发规模和干预措施的效果。最后,我们将几个结果扩展到更一般的 n 斑块设置。