Russell Steven, Ryff Kyle, Gould Carolyn, Martin Stacey, Johansson Michael
Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
Division of Vector-Borne Diseases, Centers for Diseases Control and Prevention, San Juan, Puerto Rico, United States.
PLoS Curr. 2017 Nov 22;9:ecurrents.outbreaks.cd76717676629d47704170ecbdb5f820. doi: 10.1371/currents.outbreaks.cd76717676629d47704170ecbdb5f820.
The 2015-2017 Zika virus (ZIKV) epidemic in the Americas has driven efforts to strengthen surveillance systems and to develop interventions, testing, and travel recommendations. In the continental U.S. and Hawaii, where limited transmission has been observed, detecting local transmission is a key public health objective. We assessed the effectiveness of three general surveillance strategies for this situation: testing all pregnant women twice during pregnancy, testing blood donations, and testing symptomatic people who seek medical care in an emergency department (ED).
We developed a simulation model for each surveillance strategy and simulated different transmission scenarios with varying population sizes and infection rates. We then calculated the probability of detecting transmission, the number of tests needed, and the number of false positive test results.
The probability of detecting ZIKV transmission was highest for testing ED patients with Zika symptoms, followed by pregnant women and blood donors, in that order. The magnitude of the difference in probability of detection between strategies depended on the incidence of infection. Testing ED patients required fewer tests and resulted in fewer false positives than surveillance among pregnant women. The optimal strategy identified was to test ED patients with at least two Zika virus disease symptoms. This case definition resulted in a high probability of detection with relatively few tests and false positives.
In the continental U.S. and Hawaii, where local ZIKV transmission is rare, optimizing the probability of detecting infections while minimizing resource usage is particularly important. Local surveillance strategies will be influenced by existing public health system infrastructure, but should also consider the effectiveness of different approaches. This analysis demonstrated differences across strategies and indicated that testing symptomatic ED patients is generally a more efficient strategy for detecting transmission than routine testing of pregnant women or blood donors.
2015 - 2017年寨卡病毒(ZIKV)在美洲的流行推动了加强监测系统以及制定干预措施、检测方法和旅行建议的工作。在美国大陆和夏威夷,虽然观察到的传播情况有限,但检测本地传播是一项关键的公共卫生目标。我们评估了针对这种情况的三种常规监测策略的有效性:在孕期对所有孕妇进行两次检测、检测献血、以及检测在急诊科(ED)寻求医疗护理的有症状者。
我们为每种监测策略开发了一个模拟模型,并模拟了不同人口规模和感染率的不同传播情景。然后我们计算了检测到传播的概率、所需检测的数量以及假阳性检测结果的数量。
检测有寨卡症状的急诊科患者时,检测到ZIKV传播的概率最高,其次是孕妇和献血者,顺序依次如此。不同策略之间检测概率差异的大小取决于感染发生率。与对孕妇进行监测相比,检测急诊科患者所需的检测更少,假阳性也更少。确定的最佳策略是检测至少有两种寨卡病毒病症状的急诊科患者。这种病例定义在检测概率较高的情况下,检测次数和假阳性相对较少。
在美国大陆和夏威夷,本地ZIKV传播罕见,在尽量减少资源使用的同时优化检测感染的概率尤为重要。本地监测策略将受到现有公共卫生系统基础设施的影响,但也应考虑不同方法的有效性。该分析表明了不同策略之间的差异,并指出检测有症状的急诊科患者通常是一种比常规检测孕妇或献血者更有效的检测传播的策略。