Evidence map›Paper›PMID 35355081›Full record

ArticleInternational journal of epidemiology2022

High-risk landscapes of Japanese encephalitis virus outbreaks in India converge on wetlands, rain-fed agriculture, wild Ardeidae, and domestic pigs and chickens.

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

Open access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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  6. An Updated Review of Potential Drug Targets for Japanese Encephalitis.Central nervous system agents in medicinal chemistry · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Michael G WalshFaculty of Medicine and Health, School of Public Health, The University of Sydney, Camperdown, New South Wales, Australia.ORCID 0000-0002-6441-3635
Amrita PattanaikManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka, India.
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.ORCID 0000-0003-1029-5140
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.
Manipal Academy of Higher Education · INThe University of Sydney · AUIndian Institute of Public Health Gandhinagar · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundJapanese encephalitis virus (JEV) is a zoonotic mosquito-borne virus that causes a significant burden of disease across Asia, particularly in India, with high mortality in children. JEV circulates in wild ardeid birds and domestic pig reservoirs, both of which generate sufficiently high viraemias to infect vector mosquitoes, which can then subsequently infect humans. The landscapes of these hosts, particularly in the context of anthropogenic ecotones and resulting wildlife-livestock interfaces, are poorly understood and thus significant knowledge gaps in the epidemiology of JEV persist. This study sought to investigate the landscape epidemiology of JEV outbreaks in India over the period 2010-2020 to determine the influence of shared wetland and rain-fed agricultural landscapes and animal hosts on outbreak risk.

methodsUsing surveillance data from India's National Centre for Disease Control Integrated Disease Surveillance Programme, JEV outbreaks were modelled as an inhomogeneous Poisson point process and externally validated against independently sourced data.

resultsOutbreak risk was strongly associated with the habitat suitability of ardeid birds, both pig and chicken density, and the shared landscapes between fragmented rain-fed agriculture and both river and freshwater marsh wetlands.

conclusionThe results from this work provide the most complete understanding of the landscape epidemiology of JEV in India to date and suggest important One Health priorities for control and prevention across fragmented terrain comprising a wildlife-livestock interface that favours spillover to humans.

Indexed as

Encephalitis, JapaneseEncephalitis Virus, JapaneseAgricultureAnimalsChickensChildDisease OutbreaksHumansIndiaLivestockRainSus scrofaSwineWetlandsJapanese encephalitislandscape epidemiologyvector-borne diseasewildlife–livestock–human interfaceZoonosis

Identifiers

PMID35355081
PMCPMC9557850
OpenAlexW4220871965

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.