Dénes Attila, Gumel Abba B
Bolyai Institute, University of Szeged, Aradi vértanúk tere 1., Szeged H-6720, Hungary.
School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287-1804, USA.
Infect Dis Model. 2019 Feb 5;4:12-27. doi: 10.1016/j.idm.2019.01.003. eCollection 2019.
The quarantine of people suspected of being exposed to an infectious agent is one of the most basic public health measure that has historically been used to combat the spread of communicable diseases in human communities. This study presents a new deterministic model for assessing the population-level impact of the quarantine of individuals suspected of being exposed to disease on the spread of the 2014-2015 outbreaks of Ebola viral disease. It is assumed that quarantine is imperfect (i.e., individuals can acquire infection during quarantine). In the absence of quarantine, the model is shown to exhibit global dynamics with respect to the disease-free and its unique endemic equilibrium when a certain epidemiological threshold (denoted by ) is either less than or greater than unity. Thus, unlike the full model with imperfect quarantine (which is known to exhibit the phenomenon of backward bifurcation), the version of the model with no quarantine does not undergo a backward bifurcation. Using data relevant to the 2014-2015 Ebola transmission dynamics in the three West African countries (Guinea, Liberia and Sierra Leone), uncertainty analysis of the model show that, although the current level and effectiveness of quarantine can lead to significant reduction in disease burden, they fail to bring the associated ( ) to a value less than unity (which is needed to make effective disease control or elimination feasible). This reduction of is, however, very possible with a modest increase in quarantine rate and effectiveness. It is further shown, sensitivity analysis, that the parameters related to the effectiveness of quarantine (namely the parameter associated with the reduction in infectiousness of infected quarantined individuals and the contact rate during quarantine) are the main drivers of the disease transmission dynamics. Overall, this study shows that the singular implementation of a quarantine intervention strategy can lead to the effective control or elimination of Ebola viral disease in a community if its coverage and effectiveness levels are high enough.
对疑似接触传染源的人员进行隔离检疫是历史上用于对抗传染病在人群中传播的最基本公共卫生措施之一。本研究提出了一种新的确定性模型,用于评估对疑似接触疾病人员进行隔离检疫对2014 - 2015年埃博拉病毒病疫情传播的人群层面影响。假设隔离检疫并不完美(即个体在隔离检疫期间仍可能感染)。在没有隔离检疫的情况下,当某个流行病学阈值(用 表示)小于或大于1时,该模型显示出关于无病状态及其独特地方病平衡点的全局动态。因此,与具有不完美隔离检疫的完整模型(已知会出现反向分岔现象)不同,没有隔离检疫的模型版本不会经历反向分岔。利用与2014 - 2015年西非三个国家(几内亚、利比里亚和塞拉利昂)埃博拉传播动态相关的数据,该模型的不确定性分析表明,尽管当前隔离检疫的水平和效果可导致疾病负担显著降低,但它们未能使相关的 ( )值小于1(这是实现有效疾病控制或消除所必需的)。然而,适度提高隔离检疫率和效果,很有可能降低 。敏感性分析进一步表明,与隔离检疫效果相关的参数(即与被隔离感染个体传染性降低相关的参数以及隔离检疫期间的接触率)是疾病传播动态的主要驱动因素。总体而言,本研究表明,如果隔离检疫干预策略的覆盖范围和效果水平足够高,其单一实施可导致社区内埃博拉病毒病得到有效控制或消除。