Literature DB >> 17906224

Data quality of the Cattle Tracing System in Great Britain.

D M Green1, R R Kao.   

Abstract

The Cattle Tracing System (cts) of Great Britain was examined to investigate the quality of its data in terms of known errors and omissions, and their distribution. The proportions of erroneous or missing data have decreased steadily over time, with a marked improvement in the quality of the data since 2001, when recording became mandatory. There is little variation between regions in the quality of the data, but there are potentially important variations between the types of agricultural premises that cattle move to and from, and in other factors correlated with the type of premises, such as the age of the animals and the number of animal movements associated with the premises.

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Year:  2007        PMID: 17906224     DOI: 10.1136/vr.161.13.439

Source DB:  PubMed          Journal:  Vet Rec        ISSN: 0042-4900            Impact factor:   2.695


  10 in total

1.  Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies.

Authors:  G L Chaters; P C D Johnson; S Cleaveland; J Crispell; W A de Glanville; T Doherty; L Matthews; S Mohr; O M Nyasebwa; G Rossi; L C M Salvador; E Swai; R R Kao
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-08       Impact factor: 6.237

2.  Patterns and durations of journeys by horses transported from the USA to Canada for slaughter.

Authors:  R Cyril Roy; Michael S Cockram
Journal:  Can Vet J       Date:  2015-06       Impact factor: 1.008

3.  Demographics of cattle movements in the United Kingdom.

Authors:  Matthew C Vernon
Journal:  BMC Vet Res       Date:  2011-06-28       Impact factor: 2.741

4.  Generating social network data using partially described networks: an example informing avian influenza control in the British poultry industry.

Authors:  Sema Nickbakhsh; Louise Matthews; Paul R Bessell; Stuart W J Reid; Rowland R Kao
Journal:  BMC Vet Res       Date:  2011-10-25       Impact factor: 2.741

5.  Potential for epidemic take-off from the primary outbreak farm via livestock movements.

Authors:  Michael J Tildesley; Victoriya V Volkova; Mark Ej Woolhouse
Journal:  BMC Vet Res       Date:  2011-11-24       Impact factor: 2.741

6.  Summary of current knowledge of the size and spatial distribution of the horse population within Great Britain.

Authors:  Lisa A Boden; Tim D H Parkin; Julia Yates; Dominic Mellor; Rowland R Kao
Journal:  BMC Vet Res       Date:  2012-04-04       Impact factor: 2.741

7.  Suboptimal herd performance amplifies the spread of infectious disease in the cattle industry.

Authors:  M Carolyn Gates; Mark E J Woolhouse
Journal:  PLoS One       Date:  2014-03-26       Impact factor: 3.240

8.  Using machine learning improves predictions of herd-level bovine tuberculosis breakdowns in Great Britain.

Authors:  K Stański; S Lycett; T Porphyre; B M de C Bronsvoort
Journal:  Sci Rep       Date:  2021-01-26       Impact factor: 4.379

9.  Spatial and temporal investigations of reported movements, births and deaths of cattle and pigs in Sweden.

Authors:  Maria Nöremark; Nina Håkansson; Tom Lindström; Uno Wennergren; Susanna Sternberg Lewerin
Journal:  Acta Vet Scand       Date:  2009-10-07       Impact factor: 1.695

10.  How commercial and non-commercial swine producers move pigs in Scotland: a detailed descriptive analysis.

Authors:  Thibaud Porphyre; Lisa A Boden; Carla Correia-Gomes; Harriet K Auty; George J Gunn; Mark E J Woolhouse
Journal:  BMC Vet Res       Date:  2014-06-25       Impact factor: 2.741

  10 in total

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