Evidence map›Paper›PMID 25536514›Full record

ArticlePloS one2014

Spatial dynamics of bovine tuberculosis in the Autonomous Community of Madrid, Spain (2010-2012).

Maria Luisa de la Cruz, Andres Perez, Javier Bezos, Enrique Pages, Carmen Casal, Jesus Carpintero, Beatriz Romero, Lucas Dominguez, Christopher M Barker, Rosa Diaz and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  4. Pathogens (Basel, Switzerland) · 2020
    Article
  5. Article
  6. Border analysis for spatial clusters.International journal of health geographics · 2018
    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

11 authors at 5 institutions in 2 countries.

Maria Luisa de la CruzCentro de Vigilancia Sanitaria Veterinaria VISAVET, Universidad Complutense, Madrid, Spain.
Andres PerezDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, United States of America.
Javier BezosCentro de Vigilancia Sanitaria Veterinaria VISAVET, Universidad Complutense, Madrid, Spain; MAEVA SERVET SL, Alameda del Valle, Madrid, Spain.
Enrique PagesÁrea de Ganadería, Dirección General de Medio Ambiente, Consejería de Medio Ambiente, Vivienda y Ordenación del Territorio de la Comunidad de Madrid, Madrid, Spain.
Carmen CasalCentro de Vigilancia Sanitaria Veterinaria VISAVET, Universidad Complutense, Madrid, Spain.
Jesus CarpinteroÁrea de Ganadería, Dirección General de Medio Ambiente, Consejería de Medio Ambiente, Vivienda y Ordenación del Territorio de la Comunidad de Madrid, Madrid, Spain.
Beatriz RomeroCentro de Vigilancia Sanitaria Veterinaria VISAVET, Universidad Complutense, Madrid, Spain.
Lucas DominguezÁrea de Ganadería, Dirección General de Medio Ambiente, Consejería de Medio Ambiente, Vivienda y Ordenación del Territorio de la Comunidad de Madrid, Madrid, Spain; Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense, Madrid, Spain.
Christopher M BarkerCenter for Vectorborne Diseases and Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California Davis, Davis, California, United States of America.
Rosa DiazÁrea de Ganadería, Dirección General de Medio Ambiente, Consejería de Medio Ambiente, Vivienda y Ordenación del Territorio de la Comunidad de Madrid, Madrid, Spain.
Julio AlvarezDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, United States of America.
Universidad Complutense de Madrid · ESComunidad de Madrid · ESUniversity of Minnesota · USUniversity of California, Davis · USVodafone (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progress in control of bovine tuberculosis (bTB) is often not uniform, usually due to the effect of one or more sometimes unknown epidemiological factors impairing the success of eradication programs. Use of spatial analysis can help to identify clusters of persistence of disease, leading to the identification of these factors thus allowing the implementation of targeted control measures, and may provide some insights of disease transmission, particularly when combined with molecular typing techniques. Here, the spatial dynamics of bTB in a high prevalence region of Spain were assessed during a three year period (2010-2012) using data from the eradication campaigns to detect clusters of positive bTB herds and of those infected with certain Mycobacterium bovis strains (characterized using spoligotyping and VNTR typing). In addition, the within-herd transmission coefficient (β) was estimated in infected herds and its spatial distribution and association with other potential outbreak and herd variables was evaluated. Significant clustering of positive herds was identified in the three years of the study in the same location ("high risk area"). Three spoligotypes (SB0339, SB0121 and SB1142) accounted for >70% of the outbreaks detected in the three years. VNTR subtyping revealed the presence of few but highly prevalent strains within the high risk area, suggesting maintained transmission in the area. The spatial autocorrelation found in the distribution of the estimated within-herd transmission coefficients in herds located within distances <14 km and the results of the spatial regression analysis, support the hypothesis of shared local factors affecting disease transmission in farms located at a close proximity.

Indexed as

Animal HusbandryAnimalsCattleDisease OutbreaksMolecular TypingMycobacterium bovisSpainTuberculosis, Bovine

Identifiers

PMID25536514
PMCPMC4275235
OpenAlexW2171041690

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.