Evidence map›Paper›PMID 35809085›Full record

ArticleTransboundary and emerging diseases2022

A biogeographical description of the wild waterbird species associated with high-risk landscapes of Japanese encephalitis virus in India.

Michael G Walsh, Amrita Pattanaik, Navya Vyas, Deepak Saxena, Cameron Webb, Shailendra Sawleshwarkar, Chiranjay Mukhopadhyay

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Article in Transboundary and emerging diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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

7 authors.

Michael G WalshFaculty of Medicine and Health, School of Public Health, The University of Sydney, Camperdown, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6441-3635
Amrita PattanaikManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID https://orcid.org/0000-0002-1562-0347
Navya VyasOne Health Centre, The Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Deepak SaxenaDepartment of Epidemiology, Indian Institute of Public Health Gandhinagar, Gandhinagar, Gujarat, India.
Cameron WebbFaculty of Medicine and Health, Sydney Institute for Infectious Diseases, The University of Sydney, Westmead, New South Wales, Australia.
Shailendra SawleshwarkarFaculty of Medicine and Health, Sydney Institute for Infectious Diseases, The University of Sydney, Westmead, New South Wales, Australia.
Chiranjay MukhopadhyayDepartment of Microbiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wild reservoirs of Japanese encephalitis virus are under-studied globally, which presents critical knowledge gaps for JEV epidemiology and infection ecology despite decades of received wisdom regarding this high-impact mosquito-borne virus. As a result, ardeid birds, generally understood to be the primary reservoirs for JEV, as well as other waterbirds occupying landscapes at high risk for spillover to humans, are frequently ignored by current surveillance mechanisms and infrastructure. This is particularly true in India, which experiences a high annual burden of human outbreaks. Incorporating wild reservoirs into surveillance of human and livestock populations is therefore essential but will first require a data-driven approach to target individual host species. The current study sought to identify preliminary waterbird target species for JEV surveillance development based on species' distributions in high-risk landscapes. Twenty-one target species were identified after adjusting species presence and abundance for the biotic constraints of sympatry. Furthermore, ardeid bird species richness demonstrated a strong non-linear association with the distribution of human JEV outbreaks, which suggested areas with the highest ardeid species richness corresponded to low JEV outbreak risk. No association was identified between JEV outbreaks and anatid or rallid richness. The lack of association between Anatidae and Rallidae family-level diversity and JEV outbreak risk notwithstanding, this study did identify several individual species among these two bird families in high-risk landscapes. The findings from this work provide the first data-driven evidence base to inform wildlife sampling for the monitoring of JEV circulation in outbreak hotspots in India and thus identify good preliminary targets for the development of One Health JEV surveillance.

Indexed as

CulicidaeEncephalitis, JapaneseEncephalitis Virus, JapaneseAnimalsBirdsDisease OutbreaksHumansinfection ecologyJapanese encephalitislandscape epidemiologyvector-borne diseasewildlife-livestock-human interface

Identifiers

PMID35809085
PMCPMC9796264

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LicenceCC BY-NC-ND
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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.