A compartmental deterministic model that allows (1) immunity from two stages of infection and carriage, and (2) disease induced death, is used in studying the dynamics of meningitis epidemic process in a closed population. It allows for difference in the transmission rate of infection to a susceptible by a carrier and an infective. It is generalized to allow a proportion ({\phi}) of those susceptibles infected to progress directly to infectives in stage I. Both models are used in this study. The threshold conditions for the spread of carrier and infectives in stage I are derived for the two models. Sensitivity analysis is performed on the reproductive number derived from the next generation matrix. The case-carrier ratio profile for various parameters and threshold values are shown. So also are the graphs of the total number ever infected as influenced by {\epsilon} and {\phi}. The infection transmission rate (\b{eta}), the odds in favor of a carrier, over an infective, in transmitting an infection to a susceptible ({\epsilon}) and the carrier conversion rate ({\phi}) to an infective in stage I, are identified as key parameters that should be subject of attention for any control intervention strategy. The case-carrier ratio profiles provide evidence of a critical case-carrier ratio attained before the number of reported cases grows to an epidemic level. They also provide visual evidence of epidemiological context, in this case, epidemic incidence (in later part of dry season) and endemic incidence (during rainy season). Results from total proportion ever infected suggest that the model, in which {\phi}=0 obtained, can adequately represent, in essence, the generalized model for this study.
翻译:在封闭人群中,使用一个具有以下特征的隔离的确定性模型进行研究了流行性脑膜炎流行病过程的动态:(1)对两个感染阶段和携带者免疫和(2)对因疾病导致的死亡。该模型允许以携带者和感染者的方式不同影响感染者的感染传播速率。该模型被推广到允许感染的患者转化为一期感染患者的比例。这两个模型均在研究中使用。对从下一代矩阵推导出的繁殖数的敏感性分析进行了分析。显示了不同参数和阈值的病例携带者比例配置文件。展示了由{\epsilon}和{\phi}所影响的总感染人数的图形。感染传播率(\b{eta})、携带者对感染者的有利比率({\epsilon})和一期感染病人向二期感染病人的转换率({\phi})被确定为任何控制干预策略的关键参数。通过病例携带者比例轮廓提供了证据,表明在报告的病例数量增长到流行水平之前,存在关键的病例携带者比例。它们还提供了流行病学上下文的视觉证据,这种情况下在旱季的后期流行发病率和在雨季的健康发病率。总感染比例的结果表明,在{\phi}=0获得的模型可以充分代表这项研究的广义模型。