Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
Travel Med Infect Dis. 2020 Jan-Feb;33:101562. doi: 10.1016/j.tmaid.2020.101562. Epub 2020 Jan 26.
No large-scale Zika epidemic has been observed to date in Southeast Asia following the 2015-16 Latin American and the Caribbean epidemic. One hypothesis is Southeast Asian populations' partial immunity to Zika.
We estimated the two conditions for a Zika outbreak emergence in Southeast Asia: (i) the risk of Zika introduction from Latin America and the Caribbean and, (ii) the risk of autochthonous transmission under varying assumptions on population immunity. We also validated the model used to estimate the risk of introduction by comparing the estimated number of Zika seeds introduced into the United States with case counts reported by the Centers for Disease Control and Prevention (CDC).
There was good agreement between our estimates and case counts reported by the CDC. We thus applied the model to Southeast Asia and estimated that, on average, 1-10 seeds were introduced into Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam. We also found increasing population immunity levels from 0 to 90% reduced probability of autochthonous transmission by 40% and increasing individual variation in transmission further reduced the outbreak probability.
Population immunity, combined with heterogeneity in transmission, can explain why no large-scale outbreak was observed in Southeast Asia during the 2015-16 epidemic.
自 2015-16 年拉丁美洲和加勒比地区的寨卡疫情以来,东南亚地区迄今尚未观察到大规模的寨卡疫情。一种假设是东南亚人群对寨卡病毒具有部分免疫力。
我们估计了寨卡病毒在东南亚出现爆发的两种情况:(i)从拉丁美洲和加勒比地区引入寨卡病毒的风险,以及(ii)在不同人群免疫力假设下发生本地传播的风险。我们还通过比较引入美国的寨卡病毒种子数量与疾病控制与预防中心(CDC)报告的病例数,验证了用于估计引入风险的模型。
我们的估计值与 CDC 报告的病例数之间存在良好的一致性。因此,我们将该模型应用于东南亚地区,并估计平均有 1-10 个种子被引入印度尼西亚、马来西亚、菲律宾、新加坡、泰国和越南。我们还发现,人群免疫力水平从 0 到 90%的提高将本地传播的概率降低了 40%,而个体传播的异质性进一步降低了疫情爆发的概率。
人群免疫力加上传播的异质性,可以解释为什么在 2015-16 年的疫情中,东南亚地区没有观察到大规模的疫情爆发。