Brouwer Andrew F, Meza Rafael, Eisenberg Marisa C
Department of Epidemiology, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, United States; Department of Mathematics, University of Michigan, 530 Church St., Ann Arbor, MI 48109, United States.
Department of Epidemiology, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, United States.
Math Biosci. 2015 Dec;270(Pt A):115-25. doi: 10.1016/j.mbs.2015.10.012. Epub 2015 Oct 27.
The human papillomavirus (HPV) is sexually transmitted and can infect oral, genital, and anal sites in the human epithelium. Here, we develop a multisite transmission model that includes autoinoculation to study HPV and other multisite diseases. Under a homogeneous-contacts assumption, we analyze the basic reproduction number R0, as well as type and target reproduction numbers, for a two-site model. In particular, we find that R0 occupies a space between taking the maximum of next generation matrix terms for same site transmission and taking the geometric average of cross-site transmission terms in such a way that heterogeneity in the same-site transmission rates increases R0 while heterogeneity in the cross-site transmission decreases it. Additionally, autoinoculation adds considerable complexity to the form of R0. We extend this analysis to a heterosexual population, which additionally yields dynamics analogous to those of vector-host models. We also examine how these issues of heterogeneity may affect disease control, using type and target reproduction numbers.
人乳头瘤病毒(HPV)通过性传播,可感染人体上皮组织中的口腔、生殖器和肛门部位。在此,我们开发了一种包括自体接种的多部位传播模型,以研究HPV和其他多部位疾病。在均匀接触假设下,我们分析了一个双部位模型的基本再生数R0以及类型和目标再生数。特别地,我们发现R0处于取同部位传播下一代矩阵项的最大值与取跨部位传播项的几何平均值之间的一个空间,使得同部位传播率的异质性增加R0,而跨部位传播的异质性降低R0。此外,自体接种给R0的形式增加了相当大的复杂性。我们将此分析扩展到异性恋人群,这还产生了类似于媒介-宿主模型的动态。我们还使用类型和目标再生数研究了这些异质性问题可能如何影响疾病控制。