Evidence map›Paper›PMID 26092587›Full record

ArticleVeterinary research2015

Two state model for a constant disease hazard in paratuberculosis (and other bovine diseases).

Yoram Louzoun, Rebecca Mitchell, Hilla Behar, Ynte Schukken

Open access · goldAbstract read
In one paragraph

Article in Veterinary research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 3 countries.

Yoram LouzounGonda Brain Research Center and Department of Mathematics, Bar-Ilan University, Ramat Gan, Israel. louzouy@math.biu.ac.il.
Rebecca MitchellASM Post Doctoral Fellow at Centers for Disease Control and Prevention, Atlanta, Georgia. rmm257@gmail.com.
Hilla BeharGonda Brain Research Center and Department of Mathematics, Bar-Ilan University, Ramat Gan, Israel. hilla.behar2@gmail.com.
Ynte SchukkenGD Animal Health, Deventer, the Netherlands. yschukken@cornell.edu.
Bar-Ilan University · ILCenters for Disease Control and Prevention · USCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many diseases are characterized by a long and varying sub-clinical period. Two main mechanisms can explain such periods: a slow progress toward disease or a sudden transition from a healthy state to a disease state induced by internal or external events. We here survey epidemiological features of the amount of bacteria shed during Mycobacterium Avium Paratuberculosis (MAP) infection to test which of these two models, slow progression or sudden transition (or a combination of the two), better explains the transition from intermittent and low shedding to high shedding. Often, but not always, high shedding is associated with the occurrence of clinical signs. In the case of MAP, the clinical signs include diarrhea, low milk production, poor fertility and eventually emaciation and death. We propose a generic model containing bacterial growth, immune control and fluctuations. This proposed generic model can represent the two hypothesized types of transitions in different parameter regimes. The results show that the sudden transition model provides a simpler explanation of the data, but also suffers from some limitations. We discuss the different immunological mechanism that can explain and support the sudden transition model and the interpretation of each term in the studied model. These conclusions are applicable to a wide variety of diseases, and MAP serves as a good test case based on the large scale measurements of single cow longitudinal profiles in this disease.

Indexed as

AnimalsBacterial SheddingCattleCattle DiseasesDairyingFemaleMarkov ChainsModels, TheoreticalMycobacterium avium subsp. paratuberculosisParatuberculosisStochastic Processes

Identifiers

PMID26092587
PMCPMC4474326
OpenAlexW1533835865

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.