ReviewScience in One Health2026
Modeling the transmission dynamics of liver flukes (
Review in Science in One Health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Infections with liver flukes ( Methods: In this systematic review, we searched six major databases (PubMed, Web of Science, Korea Med, Cochrane, China National Knowledge Infrastructure [CNKI], and Wanfang Data) for studies published up to 14 May 2025, to identify and evaluate mechanistic models of liver fluke infections. We included all mechanistic transmission models for human liver flukes regardless of language or setting, while excluded non-mechanistic models, reviews, and empirical studies. Results: Of the 533 records identified, 18 studies were eligible for analysis. Most studies focused on Conclusion: Results from mechanistic models support the implementation of One Health strategies to improve liver fluke control. This review identifies the need for integrative, data-driven One Health modeling frameworks that incorporate human, animal, and environmental transmission parameters, and address key sources of heterogeneity in host behavior, exposure, and transmission dynamics to support control targets.
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Registered trials
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.