Evidence map›Paper›PMID 26520176›Full record

ArticlePreventive veterinary medicine2015

A new compartmental model of Mycobacterium avium subsp. paratuberculosis infection dynamics in cattle.

Rebecca L Smith, Ynte H Schukken, Yrjö T Gröhn

Erratum issuedAbstract read
In one paragraph

Article in Preventive veterinary medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Use of ELISA to predict highJournal of veterinary research · 2026
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  4. Successful Control ofAnimals : an open access journal from MDPI · 2024
    Article
  5. Presence of antibodies against Mycobacterium avium subspecies paratuberculosis in Brazilian high-producing dairy herds.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Rebecca L SmithDepartment of Pathobiology, University of Illinois College of Veterinary Medicine, Urbana, IL 61802, USA. Electronic address: rlsdvm@illinois.edu.
Ynte H SchukkenGD-Animal Health, Deventer, The Netherlands. Electronic address: yschukken@cornell.edu.
Yrjö T GröhnDepartment of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY 14850, USA. Electronic address: ytg1@cornell.edu.

Funding

Mathematical and Statistical Modeling of Mycobacterial Disease ControlK01OD010968 · OD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SMITH, REBECCA LEE · 2012 to 2015
$285k
NIH HHS 8K01OD01968-04NIH HHS K01 OD010968
6 · The paper itself

Abstract

Models of Mycobacterium avium subsp. paratuberculosis (MAP), a chronic infectious agent of cattle, are used to identify effective control programs. However, new biological findings show that adult infections occur and that infected animals can be separated into 2 paths: animals that will become high-shedding and, eventually, experience clinical disease (high-path); and animals that will shed only small quantities of MAP and will remain subclinical (low-path). Longitudinal data analysis found that high-path animals progress more quickly than previously believed. A standard model of MAP transmission in dairy herds was modified to include adult low-path infections and 2 infection pathways for infected calves. Analysis of this model showed that adult infection may play an important role in MAP dynamics on a dairy farm, and that the increased rate of progression for high-path animals influences both the prevalence and the persistence of MAP on a dairy farm. This new model will be able to determine the effectiveness of MAP control programs more accurately than previous models.

Indexed as

Models, BiologicalAnimalsCattleCattle DiseasesDairyingMycobacterium avium subsp. paratuberculosisParatuberculosisPrevalenceControlDisease modelingMycobacteriaParatuberculosisPersistence

Identifiers

PMID26520176
PMCPMC4679433

What OpenQuestion holds

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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.