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Differences in Prevalence of Symptomatic Zika Virus Infection, by Age and Sex-Puerto Rico, 2016.2016 年波多黎各不同年龄和性别人群中寨卡病毒感染症状流行率的差异。
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Immune status alters the probability of apparent illness due to dengue virus infection: Evidence from a pooled analysis across multiple cohort and cluster studies.免疫状态会改变登革病毒感染导致明显疾病的概率:来自多个队列研究和群组研究的汇总分析证据。
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Update: Interim Guidance for Health Care Providers Caring for Pregnant Women with Possible Zika Virus Exposure - United States (Including U.S. Territories), July 2017.更新:针对照顾可能接触寨卡病毒的孕妇的医疗保健提供者的临时指南 - 美国(包括美国领土),2017年7月
MMWR Morb Mortal Wkly Rep. 2017 Jul 28;66(29):781-793. doi: 10.15585/mmwr.mm6629e1.
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Spread of Zika virus in the Americas. Zika 病毒在美洲的传播。
Proc Natl Acad Sci U S A. 2017 May 30;114(22):E4334-E4343. doi: 10.1073/pnas.1620161114. Epub 2017 Apr 25.
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Vital Signs: Update on Zika Virus-Associated Birth Defects and Evaluation of All U.S. Infants with Congenital Zika Virus Exposure - U.S. Zika Pregnancy Registry, 2016.生命体征:寨卡病毒相关出生缺陷最新情况及美国所有先天性寨卡病毒暴露婴儿的评估——美国寨卡病毒妊娠登记处,2016年
MMWR Morb Mortal Wkly Rep. 2017 Apr 7;66(13):366-373. doi: 10.15585/mmwr.mm6613e1.
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Assessing Sensitivity and Specificity of Surveillance Case Definitions for Zika Virus Disease.评估寨卡病毒病监测病例定义的敏感性和特异性。
Emerg Infect Dis. 2017 Apr;23(4):677-679. doi: 10.3201/eid2304.161716. Epub 2017 Apr 15.
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Zika Virus Seroprevalence, French Polynesia, 2014-2015.2014 - 2015年法属波利尼西亚的寨卡病毒血清流行率
Emerg Infect Dis. 2017 Apr;23(4):669-672. doi: 10.3201/eid2304.161549. Epub 2017 Apr 15.
8
Zika Virus Infection as a Cause of Congenital Brain Abnormalities and Guillain-Barré Syndrome: Systematic Review.寨卡病毒感染作为先天性脑异常和吉兰-巴雷综合征的病因:系统评价
PLoS Med. 2017 Jan 3;14(1):e1002203. doi: 10.1371/journal.pmed.1002203. eCollection 2017 Jan.
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Structure in the variability of the basic reproductive number () for Zika epidemics in the Pacific islands.太平洋岛屿寨卡疫情基本再生数()变异性的结构。
Elife. 2016 Nov 29;5:e19874. doi: 10.7554/eLife.19874.
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Zika virus in asymptomatic blood donors in Martinique.马提尼克岛无症状献血者中的寨卡病毒
Blood. 2017 Jan 12;129(2):263-266. doi: 10.1182/blood-2016-09-737981. Epub 2016 Nov 8.

重新评估基于血清学调查的寨卡病毒感染症状比例的估计值。

Reassessing Serosurvey-Based Estimates of the Symptomatic Proportion of Zika Virus Infections.

机构信息

Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia.

Pennsylvania Department of Health, Harrisburg, Pennsylvania.

出版信息

Am J Epidemiol. 2019 Jan 1;188(1):206-213. doi: 10.1093/aje/kwy189.

DOI:10.1093/aje/kwy189
PMID:30165474
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6321808/
Abstract

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.

摘要

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。