Department of Microbiology and Immunology, Montana State University, Bozeman, MT, United States of America.
Center for the Ecology of Infectious Disease, University of Georgia, Athens, GA, United States of America.
PLoS Negl Trop Dis. 2019 Jun 27;13(6):e0007393. doi: 10.1371/journal.pntd.0007393. eCollection 2019 Jun.
The 2018 outbreak of Nipah virus in Kerala, India, highlights the need for global surveillance of henipaviruses in bats, which are the reservoir hosts for this and other viruses. Nipah virus, an emerging paramyxovirus in the genus Henipavirus, causes severe disease and stuttering chains of transmission in humans and is considered a potential pandemic threat. In May 2018, an outbreak of Nipah virus began in Kerala, > 1800 km from the sites of previous outbreaks in eastern India in 2001 and 2007. Twenty-three people were infected and 21 people died (16 deaths and 18 cases were laboratory confirmed). Initial surveillance focused on insectivorous bats (Megaderma spasma), whereas follow-up surveys within Kerala found evidence of Nipah virus in fruit bats (Pteropus medius). P. medius is the confirmed host in Bangladesh and is now a confirmed host in India. However, other bat species may also serve as reservoir hosts of henipaviruses. To inform surveillance of Nipah virus in bats, we reviewed and analyzed the published records of Nipah virus surveillance globally. We applied a trait-based machine learning approach to a subset of species that occur in Asia, Australia, and Oceana. In addition to seven species in Kerala that were previously identified as Nipah virus seropositive, we identified at least four bat species that, on the basis of trait similarity with known Nipah virus-seropositive species, have a relatively high likelihood of exposure to Nipah or Nipah-like viruses in India. These machine-learning approaches provide the first step in the sequence of studies required to assess the risk of Nipah virus spillover in India. Nipah virus surveillance not only within Kerala but also elsewhere in India would benefit from a research pipeline that included surveys of known and predicted reservoirs for serological evidence of past infection with Nipah virus (or cross reacting henipaviruses). Serosurveys should then be followed by longitudinal spatial and temporal studies to detect shedding and isolate virus from species with evidence of infection. Ecological studies will then be required to understand the dynamics governing prevalence and shedding in bats and the contacts that could pose a risk to public health.
2018 年印度喀拉拉邦的尼帕病毒爆发凸显了对蝙蝠体内亨尼帕病毒进行全球监测的必要性,蝙蝠是这种病毒和其他病毒的宿主。尼帕病毒是亨尼帕病毒属中的一种新兴副粘病毒,可导致人类严重疾病和传播链中断,被认为是一种潜在的大流行威胁。2018 年 5 月,喀拉拉邦爆发了尼帕病毒疫情,距离印度东部 2001 年和 2007 年发生的前几次疫情地点超过 1800 公里。有 23 人感染,21 人死亡(16 例死亡和 18 例确诊)。最初的监测重点是食虫蝙蝠(巨蝠属),而在喀拉拉邦的后续调查中发现了果蝠(中澳大拉西亚果蝠)中存在尼帕病毒的证据。中澳大拉西亚果蝠是孟加拉国的确认宿主,现在也是印度的确认宿主。然而,其他蝙蝠物种也可能是亨尼帕病毒的宿主。为了了解蝙蝠中尼帕病毒的监测情况,我们对全球范围内尼帕病毒监测的已发表记录进行了回顾和分析。我们对亚洲、澳大利亚和大洋洲的部分物种应用了基于特征的机器学习方法。除了喀拉拉邦之前被确定为尼帕病毒血清阳性的七种物种外,我们还确定了至少四种蝙蝠物种,根据与已知尼帕病毒血清阳性物种的特征相似性,它们在印度接触尼帕病毒或类似尼帕病毒的风险相对较高。这些机器学习方法为评估印度尼帕病毒溢出风险所需的一系列研究提供了第一步。不仅在喀拉拉邦,而且在印度其他地区,都需要建立一个研究渠道,对已知和预测的尼帕病毒(或交叉反应的亨尼帕病毒)血清学感染证据的宿主进行调查。然后,血清学调查应随后进行纵向的时空研究,以从具有感染证据的物种中检测到病毒脱落并分离病毒。然后需要进行生态研究,以了解控制蝙蝠流行率和病毒脱落的动态,以及可能对公共卫生构成风险的接触。