Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia.
Pennsylvania Department of Health, Harrisburg, Pennsylvania.
Am J Epidemiol. 2019 Jan 1;188(1):206-213. doi: 10.1093/aje/kwy189.
Since the 2007 Zika epidemic in the Micronesian state of Yap, it has been apparent that not all people infected with Zika virus (ZIKV) experience symptoms. However, the proportion of infections that result in symptoms remains unclear. Existing estimates have varied in their interpretation of symptoms due to other causes and the case definition used, and they have assumed perfect test sensitivity and specificity. Using a Bayesian model and data from ZIKV serosurveys in Yap (2007), French Polynesia (2013-2014), and Puerto Rico (2016), we found that assuming perfect sensitivity and specificity generally led to lower estimates of the symptomatic proportion. Incorporating reasonable assumptions for assay sensitivity and specificity, we estimated that 27% (95% credible interval (CrI): 15, 37) (Yap), 44% (95% CrI: 26, 66) (French Polynesia), and 50% (95% CrI: 34, 92) (Puerto Rico) of infections were symptomatic, with variation due to differences in study populations, study designs, and case definitions. The proportion of ZIKV infections causing symptoms is critical for surveillance system design and impact assessment. Here, we accounted for key uncertainties in existing seroprevalence data and found that estimates for the symptomatic proportion ranged from 27% to 50%, suggesting that while the majority of infections are asymptomatic or mildly symptomatic, symptomatic infections might be more common than previously estimated.
自 2007 年密克罗尼西亚雅浦州的 Zika 疫情以来,很明显并非所有感染 Zika 病毒(ZIKV)的人都出现症状。然而,出现症状的感染比例仍不清楚。由于其他原因和使用的病例定义,现有估计值在对症状的解释上存在差异,并且它们假设了完美的检测灵敏度和特异性。利用来自 Yap(2007 年)、法属波利尼西亚(2013-2014 年)和波多黎各(2016 年)的 ZIKV 血清学调查数据和贝叶斯模型,我们发现假设完美的灵敏度和特异性通常会导致对症状比例的估计值降低。我们纳入了对检测灵敏度和特异性的合理假设,估计有 27%(95%可信区间(CrI):15,37)(雅浦)、44%(95% CrI:26,66)(法属波利尼西亚)和 50%(95% CrI:34,92)(波多黎各)的感染出现症状,其差异归因于研究人群、研究设计和病例定义的不同。感染引起症状的比例对于监测系统设计和影响评估至关重要。在这里,我们考虑了现有血清流行率数据中的关键不确定性,并发现症状比例的估计值在 27%至 50%之间,这表明虽然大多数感染是无症状或轻度症状,但有症状的感染可能比以前估计的更为常见。