Evidence map›Paper›PMID 40420304›Full record

SynthesisParasites & vectors2025

Mosquito vector competence for Japanese encephalitis virus: a systematic review and meta-analysis update.

Stephen Edache, Andrea L Dixon, Ana R S Oliveira, Lee W Cohnstaedt, Dana Mitzel, Chad E Mire, Natalia Cernicchiaro

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Detection of Japanese encephalitis virus inParasite epidemiology and control · 2026
    Article
  2. Review
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Article
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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.

Stephen EdacheDepartment of Diagnostic Medicine and Pathobiology, Center for Outcomes Research and Epidemiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.
Andrea L DixonDepartment of Diagnostic Medicine and Pathobiology, Center for Outcomes Research and Epidemiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA. aldixon@vet.k-state.edu.
Ana R S OliveiraDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Lee W CohnstaedtAgricultural Research Service, United States Department of Agriculture, National Bio- and Agro-Defense Facility, Manhattan, KS, USA.
Dana MitzelAgricultural Research Service, United States Department of Agriculture, National Bio- and Agro-Defense Facility, Manhattan, KS, USA.
Chad E MireAgricultural Research Service, United States Department of Agriculture, National Bio- and Agro-Defense Facility, Manhattan, KS, USA.
Natalia CernicchiaroDepartment of Diagnostic Medicine and Pathobiology, Center for Outcomes Research and Epidemiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.

Funding

Swine Health Information Center #22-072United States Department of Agriculture, Agricultural Research Service Non-Assistance Cooperative Agreement #58-3022-3-010
6 · The paper itself

Abstract

backgroundJapanese encephalitis is an emerging zoonotic disease caused by the Japanese encephalitis virus (JEV), transmitted primarily by mosquitoes of the Culex species. Amid the recent geographical expansion of JEV into Mainland Australia and the dramatic increase in research output, here we provide an update to our 2018 systematic review and meta-analysis, by appraising the scientific literature published from 2016 through 2023 and quantitatively summarizing the data from this update and the 2018 systematic review meta-analysis on vector competence for JEV.

methodsA systematic review of the literature on JEV vector and host competence, published from 2016 through 2023, was performed. Bibliographic databases, PubMed, Scopus, Web of Science, and the Armed Forces Pest Management Board website were searched for relevant literature. Records were screened for relevance for vector competence, specifically: infection rate, dissemination rate, and transmission rate. To estimate the overall and subgroup effect sizes for each mosquito species, random-effects meta-analysis models were utilized. Meta-regression models were fit to evaluate the association between a priori variables-such as mosquito subfamily/tribe, routes of JEV administration for mosquito infection, incubation length, incubation temperatures, and diagnostic methods for JEV detection-and the outcomes of interest.

resultsThis study update includes 74 new reports, identifying 9-12 additional mosquito species as competent for JEV, depending on the specific outcome assessed. The overall JEV infection, dissemination, and transmission rates across all species and studies were 45.4% (95% confidence interval (CI) 35.9-55.2%), 41.2% (95% CI 29.7-53.7%), and 22.7% (95% CI 14.6-33.4%), respectively. Among the subfamilies/tribes, Culicini had the highest infection (51.9%; 95% CI 39.2-64.4%) and transmission (27.8%; 95% CI 16.5-43.1%) rates. Meta-regressions showed mosquito subfamily/tribe was consistently associated with all the outcomes of interest, although the heterogeneity (I

conclusionsThe information presented in this study provides a quantitative summary update on vector competence for JEV. Vector competence data are necessary for risk assessment models, the development of mosquito and virus surveillance programs, and effective prevention and control strategies in regions currently affected by JEV and those at risk of incursion.

Indexed as

CulexCulicidaeEncephalitis, JapaneseEncephalitis Virus, JapaneseMosquito VectorsAnimalsAustraliaHumansFlavivirusJapanese encephalitis virusKnowledge synthesisMeta-analysisMeta-regressionVector competence

Identifiers

PMID40420304
PMCPMC12107883

What Socratic 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 Socratic graph.