Interdisciplinary Studies, College of Graduate Studies and Research, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
BMC Infect Dis. 2010 Mar 16;10:70. doi: 10.1186/1471-2334-10-70.
After initially falling in the face of intensified control efforts, reported rates of sexually transmitted chlamydia in many developed countries are rising. Recent hypotheses for this phenomenon have broadly focused on improved case finding or an increase in the prevalence. Because of many complex interactions behind the spread of infectious diseases, dynamic models of infection transmission are an effective means to guide learning, and assess quantitative conjectures of epidemiological processes. The objective of this paper is to bring a unique and robust perspective to observed chlamydial patterns through analyzing surveillance data with mathematical models of infection transmission.
This study integrated 25-year testing volume data from the Canadian province of Saskatchewan with one susceptible-infected-treated-susceptible and three susceptible-infected-treated-removed compartmental models. Calibration of model parameters to fit observed 25-year case notification data, after being combined with testing records, placed constraints on model behaviour and allowed for an approximation of chlamydia prevalence to be estimated. Model predictions were compared to observed case notification trends, and extensive sensitivity analyses were performed to confirm the robustness of model results.
Model predictions accurately mirrored historic chlamydial trends including an observed rebound in the mid 1990s. For all models examined, the results repeatedly highlighted that increased testing volumes, rather than changes in the sensitivity and specificity of testing technologies, sexual behaviour, or truncated immunological responses brought about by treatment can, explain the increase in observed chlamydia case notifications.
Our results highlight the significant impact testing volume can have on observed incidence rates, and that simple explanations for these observed increases appear to have been dismissed in favor of changes to the underlying prevalence. These simple methods not only demonstrate geographic portability, but the results reassure the public health effort towards monitoring and controlling chlamydia.
在强化控制措施最初收效甚微之后,许多发达国家报告的性传播衣原体感染率正在上升。最近的假说主要集中在提高检出率或流行率上升上。由于传染病传播背后存在许多复杂的相互作用,感染传播的动态模型是指导学习和评估流行病学过程定量推测的有效手段。本文的目的是通过用感染传播的数学模型分析监测数据,为观察到的衣原体模式带来独特而稳健的视角。
本研究将来自加拿大萨斯喀彻温省的 25 年检测量数据与一个易感-感染-治疗-易感和三个易感-感染-治疗-清除的房室模型相结合。将模型参数校准为拟合观察到的 25 年病例报告数据,然后结合检测记录,对模型行为进行约束,并允许对衣原体流行率进行近似估计。模型预测与观察到的病例报告趋势进行了比较,并进行了广泛的敏感性分析,以确认模型结果的稳健性。
模型预测准确地反映了历史上的衣原体趋势,包括 20 世纪 90 年代中期观察到的反弹。对于所有检查的模型,结果反复强调,增加检测量而不是改变检测技术的敏感性和特异性、性行为或治疗引起的免疫反应截断,可以解释观察到的衣原体病例报告增加。
我们的结果强调了检测量对观察到的发病率的重大影响,并且这些观察到的增加似乎已经被简单地解释为基础流行率的变化所忽视。这些简单的方法不仅展示了地域可移植性,而且还让公众对监测和控制衣原体的公共卫生工作感到放心。