School of Human Evolution and Social Change, SHESC 233, P.O. Box 872402, Tempe, AZ 85287-2402, USA.
J Theor Biol. 2010 Nov 7;267(1):35-40. doi: 10.1016/j.jtbi.2010.07.027. Epub 2010 Jul 27.
An SIS/SAS model of gonorrhea transmission in a population of highly active men-having-sex-with-men (MSM) is presented in this paper to study the impact of safe behavior on the dynamics of gonorrhea prevalence. Safe behaviors may fall into two categories-prevention and self-awareness. Prevention will be modeled via consistent condom use and self-awareness via STD testing frequency. Stability conditions for the disease free equilibrium and endemic equilibrium are determined along with a complete analysis of global dynamics. The control reproductive number is used as a means for measuring the effect of changes to model parameters on the prevalence of the disease. We also find that appropriate intervention would be in the form of a multifaceted approach at overall risk reduction rather than tackling one specific control individually.
本文提出了一个 SIS/SAS 模型,用于研究高危男性性行为人群(MSM)中的淋病传播,以探讨安全行为对淋病流行趋势的影响。安全行为可以分为预防行为和自我保护意识。预防行为可以通过持续使用安全套来实现,而自我保护意识可以通过性病检测频率来体现。本文还确定了无病平衡点和地方病平衡点的稳定性条件,并对全局动态进行了全面分析。控制生殖数被用作衡量模型参数变化对疾病流行程度影响的一种手段。我们还发现,适当的干预措施应该是采取综合的方法来降低整体风险,而不是单独针对某一种控制措施。