Literature DB >> 33769139

A proposal to leverage high-quality veterinary diagnostic laboratory large data streams for animal health, public health, and One Health.

Craig N Carter1, Jacqueline L Smith1.   

Abstract

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.

Entities:  

Keywords:  animal health monitoring; laboratory information management system; standard veterinary nomenclature system; veterinary diagnostic laboratory

Mesh:

Year:  2021        PMID: 33769139      PMCID: PMC8120079          DOI: 10.1177/10406387211003088

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  9 in total

1.  AAVLD: the first twenty-six years.

Authors:  Larry G Morehouse
Journal:  J Vet Diagn Invest       Date:  2008-01       Impact factor: 1.279

2.  Application of an automated surveillance-data-analysis system in a laboratory-based early-warning system for detection of an abortion outbreak in mares.

Authors:  Agricola Odoi; Craig N Carter; Jeremy W Riley; Jackie L Smith; Roberta M Dwyer
Journal:  Am J Vet Res       Date:  2009-02       Impact factor: 1.156

3.  Frequency of Corynebacterium pseudotuberculosis infection in horses across the United States during a 10-year period.

Authors:  Isabelle Kilcoyne; Sharon J Spier; Craig N Carter; Jacqueline L Smith; Amy K Swinford; Noah D Cohen
Journal:  J Am Vet Med Assoc       Date:  2014-08-01       Impact factor: 1.936

4.  Maintaining medical record confidentiality and client privacy in the era of big data: ethical and legal responsibilities.

Authors:  Anthony P Aaron; Martha L Kohlstrand; Link V Welborn; Stephen T Curvey
Journal:  J Am Vet Med Assoc       Date:  2019-08-01       Impact factor: 1.936

5.  Antibiotic susceptibility patterns of Crossiella equi and Amycolatopsis species causing nocardioform placentitis in horses.

Authors:  Erdal Erol; Neil M Williams; Stephen F Sells; Laura Kennedy; Stephen J Locke; James M Donahue; Craig N Carter
Journal:  J Vet Diagn Invest       Date:  2012-10-10       Impact factor: 1.279

6.  Clinical and epizootiologic characteristics of dogs seropositive for Borrelia burgdorferi in Texas: 110 cases (1988).

Authors:  N D Cohen; C N Carter; M A Thomas; A B Angulo; A K Eugster
Journal:  J Am Vet Med Assoc       Date:  1990-10-01       Impact factor: 1.936

7.  An investigation of a recent outbreak of nocardioform placentitis caused abortions in horses.

Authors:  Erdal Erol; Stephen F Sells; Neil M Williams; Laura Kennedy; Stephen J Locke; David P Labeda; James M Donahue; Craig N Carter
Journal:  Vet Microbiol       Date:  2012-02-21       Impact factor: 3.293

8.  Epizootiologic association between feline immunodeficiency virus infection and feline leukemia virus seropositivity.

Authors:  N D Cohen; C N Carter; M A Thomas; T L Lester; A K Eugster
Journal:  J Am Vet Med Assoc       Date:  1990-07-15       Impact factor: 1.936

Review 9.  REVIEW paper: mare reproductive loss syndrome.

Authors:  M M Sebastian; W V Bernard; T W Riddle; C R Latimer; T D Fitzgerald; L R Harrison
Journal:  Vet Pathol       Date:  2008-09       Impact factor: 2.221

  9 in total
  2 in total

1.  Review of American Trypanosomiasis in Southern Mexico Highlights Opportunity for Surveillance Research to Advance Control Through the One Health Approach.

Authors:  Doireyner Daniel Velázquez-Ramírez; Adalberto A Pérez de Léon; Héctor Ochoa-Díaz-López
Journal:  Front Public Health       Date:  2022-03-15

2.  Leveraging and enhancing the value of veterinary diagnostic laboratory data.

Authors:  Brian McCluskey
Journal:  J Vet Diagn Invest       Date:  2021-05       Impact factor: 1.279

  2 in total

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