Evidence map›Paper›PMID 40437297›Full record

ReviewNature microbiology2025

A One Health approach to understanding and managing Nipah virus outbreaks.

Pragya D Yadav, Kaushal Baid, Deepak Y Patil, Tahmina Shirin, Mohammed Ziaur Rahman, Alison J Peel, Jonathan H Epstein, Joel M Montgomery, Raina K Plowright, Henrik Salje and 3 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Pragya D Yadav *Indian Council of Medical Research-National Institute of Virology (ICMR-NIV), Pune, India.ORCID http://orcid.org/0000-0002-0861-7166
Kaushal Baid *Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, Saskatchewan, Canada.ORCID http://orcid.org/0000-0002-4354-7941
Deepak Y PatilIndian Council of Medical Research-National Institute of Virology (ICMR-NIV), Pune, India.
Tahmina ShirinInstitute of Epidemiology Disease Control and Research, Dhaka, Bangladesh.
Mohammed Ziaur RahmanInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.
Alison J PeelCentre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Nathan, Queensland, Australia.ORCID http://orcid.org/0000-0003-3538-3550
Jonathan H EpsteinEcoHealth Alliance, New York, NY, USA.ORCID http://orcid.org/0000-0002-1373-9301
Joel M MontgomeryViral Special Pathogens Branch, US Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-0523-4431
Raina K PlowrightDepartment of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
Henrik SaljeDepartment of Genetics, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-3626-4254
Emily S GurleyDepartment of Epidemiology, Johns Hopkins University, Baltimore, MD, USA.
Syed M SatterInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.
Arinjay BanerjeeVaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, Saskatchewan, Canada. arinjay.banerjee@usask.ca.ORCID http://orcid.org/0000-0002-2821-8357

Funding

Solving Opportunities for Spillover (SOS): Frequency and Mechanisms of Cross-species Transmission of Henipaviruses in BangladeshU01AI168287 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Emily Suzanne Gurley · 2023 to 2026
$2.6M
Study of Nipah virus dynamics and genetics in its bat reservoir and of human exposure to NiV across Bangladesh to understand patterns of human outbreaksU01AI153420 · NIAID · ECOHEALTH ALLIANCE, INC. · PI EPSTEIN, JONATHAN H · 2020 to 2023
$2.3M
Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) PEE-183995Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) PJT-195787Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) PTT-192089Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) RGPIN-2022-03010U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) U01AI153420U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) U01AI168287
6 · The paper itself

Abstract

Nipah virus (NiV) is a zoonotic paramyxovirus belonging to the genus Henipavirus, which infects Pteropus bat species in Southeast and South Asia. Since its discovery in the late 1990s in Malaysia, NiV has caused outbreaks in humans in Singapore, Bangladesh, India and the Philippines. The spillover pathway for the most recent NiV outbreak in 2023 in Kerala, India, remains speculative. NiV causes serious disease in infected humans, with a mean case-fatality rate of 70%, and no approved treatment or vaccines exist. Humans have been infected directly from bats through shared food or through infected bridging hosts, including pigs and horses, although other spillover pathways may exist. Here, we review the pathways of NiV spillover and transmission, highlighting areas needing further research. We emphasize the importance of collaborative and multidisciplinary efforts both in the laboratory and in the field, and the implementation of a One Health strategy to prevent future epidemics.

Indexed as

Disease OutbreaksHenipavirus InfectionsNipah VirusOne HealthAnimalsChiropteraHorsesHumansSwineViral ZoonosesZoonoses

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.