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2001 - 2014年美国麻疹消除状况评估

Assessment of the Status of Measles Elimination in the United States, 2001-2014.

作者信息

Gastañaduy Paul A, Paul Prabasaj, Fiebelkorn Amy Parker, Redd Susan B, Lopman Ben A, Gambhir Manoj, Wallace Gregory S

出版信息

Am J Epidemiol. 2017 Apr 1;185(7):562-569. doi: 10.1093/aje/kww168.

Abstract

We assessed the status of measles elimination in the United States using outbreak notification data. Measles transmissibility was assessed by estimation of the reproduction number, R, the average number of secondary cases per infection, using 4 methods; elimination requires maintaining R at <1. Method 1 estimates R as 1 minus the proportion of cases that are imported. Methods 2 and 3 estimate R by fitting a model of the spread of infection to data on the sizes and generations of chains of transmission, respectively. Method 4 assesses transmissibility before public health interventions, by estimating R for the case with the earliest symptom onset in each cluster (Rindex). During 2001-2014, R and Rindex estimates obtained using methods 1-4 were 0.72 (95% confidence interval (CI): 0.68, 0.76), 0.66 (95% CI: 0.62, 0.70), 0.45 (95% CI: 0.40, 0.49), and 0.63 (95% CI: 0.57, 0.69), respectively. Year-to-year variability in the values of R and Rindex and an increase in transmissibility in recent years were noted with all methods. Elimination of endemic measles transmission is maintained in the United States. A suggested increase in measles transmissibility since elimination warrants continued monitoring and emphasizes the importance of high measles vaccination coverage throughout the population.

摘要

我们利用疫情通报数据评估了美国的麻疹消除状况。通过使用4种方法估计传播数R(即每次感染的二代病例平均数量)来评估麻疹的传播性;消除麻疹需要将R维持在<1。方法1将R估计为1减去输入病例的比例。方法2和方法3分别通过将感染传播模型拟合到传播链的规模和代数数据来估计R。方法4通过估计每个聚集性病例中最早出现症状的病例的R(Rindex)来评估公共卫生干预措施实施前 的传播性。在2001 - 2014年期间,使用方法1 - 4获得的R和Rindex估计值分别为0.72(95%置信区间(CI):0.68,0.76)、0.66(95%CI:0.62,0.70)、0.45(95%CI:0.40,0.49)和0.63(95%CI:0.57,0.69)。所有方法均显示R和Rindex值存在逐年变化,且近年来传播性有所增加。美国维持了本土麻疹传播的消除状态。自消除麻疹以来传播性有所增加,这一情况表明需要持续监测,并强调在全人群中保持高麻疹疫苗接种覆盖率的重要性。

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