Evidence map›Paper›PMID 16517304›Full record

ReviewThe Veterinary clinics of North America. Food animal practice2006

Use of molecular epidemiology in veterinary practice.

Ruth N Zadoks, Ynte H Schukken

Open access · greenAbstract readReview
In one paragraph

Review in The Veterinary clinics of North America. Food animal practice, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Prevalence and antimicrobial resistance ofOpen veterinary journal · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Characterization of Virulence Factors and Antimicrobial Susceptibility ofAnimals : an open access journal from MDPI · 2024
    Article
  6. Genotypic and antimicrobial susceptibility ofFrontiers in veterinary science · 2023
    Article
  7. Review
  8. Evaluation of Control Program AgainstFrontiers in veterinary science · 2022
    Article
  9. Article
  10. Article
  11. Animals : an open access journal from MDPI · 2020
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. High Incidence of PathogenicFrontiers in microbiology · 2018
    Article
  17. Article
  18. Article
  19. Review
  20. Vaccines in veterinary medicine: a brief review of history and technology.The Veterinary clinics of North America. Small animal practice · 2010
    Review
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

2 authors at 1 institution in 1 country.

Ruth N ZadoksQuality Milk Production Services, College of Veterinary Medicine, Cornell University, Ithaca, NY 14850-1263, USA. rz26@cornell.edu
Ynte H Schukken
New York State College of Veterinary Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular epidemiology is a relatively new branch of epidemiology that uses molecular biology methods to study health and disease in populations. This article gives an introduction to molecular epidemiologic terminology and methodology and its usefulness in large animal medicine and veterinary public health. Applications in source tracing and vaccine studies and insights into transmission dynamics, host specificity, and niche adaptation of infectious organisms are presented. Examples are drawn from a variety of diseases, organisms, and host species and range from the global level to the individual-animal level.

Indexed as

Molecular EpidemiologyAnimal DiseasesAnimalsHumansPublic HealthSpecies SpecificityVeterinary Medicine

Identifiers

PMID16517304
PMCPMC7126525
OpenAlexW1989370422

What OpenQuestion holds

Textmetadata
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.