Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Texas Pediatric Society, the Texas Chapter of the American Academy of Pediatrics, Austin.
JAMA Netw Open. 2019 Aug 2;2(8):e199768. doi: 10.1001/jamanetworkopen.2019.9768.
Vaccine exemptions, which allow unvaccinated children to attend school, have increased by a factor of 28 since 2003 in Texas. Geographic clustering of unvaccinated children facilitates the spread of measles introductions, but the potential size of outbreaks is unclear.
To forecast the range of measles outbreak sizes in each metropolitan area of Texas at 2018 and future reduced school vaccination rates.
DESIGN, SETTING, AND PARTICIPANTS: An agent-based decision analytical model using a synthetic population of Texas, derived from the 2010 US Census, was used to simulate measles transmission in the Texas population. Real schools were represented in the simulations, and the 2018 vaccination rate of each real school was applied to a simulated hypothetical equivalent. Single cases of measles were introduced, daily activities and interactions were modeled for each population member, and the number of infections over the course of 9 months was counted for 1000 simulated runs in each Texas metropolitan area.
To determine the outcomes of further decreases in vaccination coverage, additional simulations were performed with vaccination rates reduced by 1% to 10% in schools with populations that are currently undervaccinated.
Expected distributions of outbreak sizes in each metropolitan area of Texas at 2018 and reduced vaccination rates.
At 2018 vaccination rates, the median number of cases in large metropolitan areas was typically small, ranging from 1 to 3 cases, which is consistent with outbreaks in Texas 2006 to 2017. However, the upper limit of the distribution of plausible outbreaks (the 95th percentile, associated with 1 in 20 measles introductions) exceeded 400 cases in both the Austin and Dallas metropolitan areas, similar to the largest US outbreaks since measles was eliminated in 2000. Decreases in vaccination rates in schools with undervaccinated populations in 2018 were associated with exponential increases in the potential size of outbreaks: a 5% decrease in vaccination rate was associated with a 40% to 4000% increase in potential outbreak size, depending on the metropolitan area. A mean (SD) of 64% (11%) of cases occurred in students for whom a vaccine had been refused, but a mean (SD) of 36% (11%) occurred in others (ie, bystanders).
This study suggests that vaccination rates in some Texas schools are currently low enough to allow large measles outbreaks. Further decreases are associated with dramatic increases in the probability of large outbreaks. Limiting vaccine exemptions could be associated with a decrease in the risk of large measles outbreaks.
重要性:自 2003 年以来,德克萨斯州的疫苗豁免率(即未接种疫苗的儿童可入学的比例)增加了 28 倍。未接种疫苗儿童的地理聚集便于麻疹的传入,但是暴发的潜在规模尚不清楚。
目的:预测 2018 年及未来降低学校疫苗接种率情况下德克萨斯州每个大都市区麻疹暴发的规模范围。
设计、设置和参与者:采用基于代理的决策分析模型,利用德克萨斯州的人口综合数据(源自 2010 年美国人口普查)模拟德克萨斯州人群中的麻疹传播。在模拟中代表真实学校,并将每个真实学校的 2018 年疫苗接种率应用于模拟的假设等效学校。引入单个麻疹病例,为每个人群成员建模日常活动和交互,并在德克萨斯州每个大都市区的 1000 次模拟运行中计算 9 个月内的感染人数。
干预措施:为了确定进一步降低疫苗接种率的结果,在目前疫苗接种率不足的学校中,将疫苗接种率降低 1%至 10%,进行了额外的模拟。
主要结果和措施:2018 年和降低疫苗接种率情况下德克萨斯州每个大都市区暴发规模的预期分布。
结果:在 2018 年的疫苗接种率下,大的大都市区的病例中位数通常较小,范围在 1 至 3 例,这与 2006 年至 2017 年德克萨斯州的暴发情况一致。然而,暴发的可能规模上限(第 95 百分位数,与每 20 例麻疹传入中的 1 例相关)在奥斯汀和达拉斯大都市区均超过 400 例,类似于 2000 年麻疹消除以来美国最大的暴发。2018 年疫苗接种率在接种率不足的学校中下降与暴发规模的潜在增加呈指数级相关:接种率下降 5%,则暴发规模的潜在增加 40%至 4000%,具体取决于大都市区。被拒绝接种疫苗的学生中发生了 64%(11%)的病例,但其他人(即旁观者)中发生了 36%(11%)的病例。
结论和相关性:本研究表明,德克萨斯州一些学校的疫苗接种率目前已经低到足以导致大规模麻疹暴发。进一步下降与大规模暴发的可能性增加显著相关。限制疫苗豁免可能会降低发生大规模麻疹暴发的风险。