Evidence map›Paper›PMID 37889834›Full record

ArticleAnimals : an open access journal from MDPI2023

Anthelmintic Treatment and the Stability of Parasite Distribution in Ruminants.

Eric R Morgan, Anne Segonds-Pichon, Hubert Ferté, Patrick Duncan, Jacques Cabaret

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 5 institutions in 2 countries.

Eric R MorganSchool of Biological Sciences, Queen's University Belfast, 19, Chlorine Gardens, Belfast BT9 5DL, UK.ORCID 0000-0002-5999-7728
Anne Segonds-PichonBabraham Institute, Cambridge CB22 3AT, UK.
Hubert FertéFaculté de Pharmacie, Université de Reims Champagne-Ardenne, SFR Cap Santé, EA7510 ESCAPE-USC VECPAR, 51 rue Cognacq-Jay, 51096 Reims, France.
Patrick DuncanCentre d'Etudes Biologiques de Chize, CNRS UPR 1934, 79360 Beauvoir-sur-Niort, France.
Jacques CabaretISP, INRAE, Université Tours, UMR1282, 37380 Nouzilly, France.ORCID 0000-0002-7379-9023
Babraham Institute · GBCentre National de la Recherche Scientifique · FREpidémiosurveillance et circulation des parasites dans les environnements · FRQueen's University Belfast · GBUniversité de Tours · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parasites are generally overdispersed among their hosts, with far-reaching implications for their population dynamics and control. The factors determining parasite overdispersion have long been debated. In particular, stochastic parasite acquisition and individual host variation in density-dependent regulation through acquired host immunity have been identified as key factors, but their relative roles and possible interactions have seen little empirical exploration in parasite populations. Here, Taylor's power law is applied to test the hypothesis that periodic parasite removal destabilises the host-parasite relationship and increases variance in parasite burden around the mean. The slope of the power relationship was compared by analysis of covariance among 325 nematode populations in wild and domestic ruminants, exploiting that domestic ruminants are often routinely treated against parasite infections. In

Indexed as

aggregationcomplex systemsfluctuation scalingimmunitymechanismmetapopulation dynamicsoverdispersionparasiteregulationTaylor’s power law

Identifiers

PMID37889834
PMCPMC10251989
OpenAlexW4379538425

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.