Prioritizing surveillance of Nipah virus in India.
Animals
Chiroptera
/ virology
Communicable Disease Control
/ organization & administration
Disease Reservoirs
/ virology
Disease Transmission, Infectious
Epidemiological Monitoring
Henipavirus Infections
/ epidemiology
Humans
India
/ epidemiology
Nipah Virus
/ growth & development
Risk Assessment
Seroepidemiologic Studies
Zoonoses
/ epidemiology
Journal
PLoS neglected tropical diseases
ISSN: 1935-2735
Titre abrégé: PLoS Negl Trop Dis
Pays: United States
ID NLM: 101291488
Informations de publication
Date de publication:
06 2019
06 2019
Historique:
received:
22
09
2018
accepted:
16
04
2019
entrez:
28
6
2019
pubmed:
28
6
2019
medline:
28
11
2019
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 31246966
doi: 10.1371/journal.pntd.0007393
pii: PNTD-D-18-01434
pmc: PMC6597033
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0007393Subventions
Organisme : NIGMS NIH HHS
ID : P20 GM103474
Pays : United States
Organisme : NIGMS NIH HHS
ID : P30 GM110732
Pays : United States
Commentaires et corrections
Type : ErratumIn
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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