Literature DB >> 16438744

A stastistical system for detecting Salmonella outbreaks in British livestock.

R Kosmider1, L Kelly, S Evans, G Gettinby.   

Abstract

Worldwide, early detection systems have been used in public health to aid the timely detection of increases in disease reporting that may be indicative of an outbreak. To date, their application to animal surveillance has been limited and statistical methods to analyse human health data have not been viewed as being applicable for animal health surveillance data. This issue was investigated by developing an early detection system for Salmonella disease in British livestock. We conclude that an early detection system, as for public health surveillance, can be an effective tool for enhanced surveillance. In order to implement this system in the future and extend it for other data types, we provide recommendations for improving the current data collection process. These recommendations will ensure that quality surveillance data are collected and used effectively to monitor disease in livestock populations.

Entities:  

Mesh:

Year:  2006        PMID: 16438744      PMCID: PMC2870477          DOI: 10.1017/S0950268806005887

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  8 in total

1.  Evaluation and extension of the cusum technique with an application to Salmonella surveillance.

Authors:  T E Carpenter
Journal:  J Vet Diagn Invest       Date:  2002-05       Impact factor: 1.279

2.  A time series construction of an alert threshold with application to S. bovismorbificans in France.

Authors:  L Watier; S Richardson; B Hubert
Journal:  Stat Med       Date:  1991-10       Impact factor: 2.373

3.  Computer-aided detection of temporal clusters of organisms reported to the Communicable Disease Surveillance Centre.

Authors:  C P Farrington; A D Beale
Journal:  Commun Dis Rep CDR Rev       Date:  1993-05-21

4.  Detection of aberrations in the occurrence of notifiable diseases surveillance data.

Authors:  D F Stroup; G D Williamson; J L Herndon; J M Karon
Journal:  Stat Med       Date:  1989-03       Impact factor: 2.373

5.  Computerized surveillance in clinical microbiology with time series analysis.

Authors:  R B Dessau; P Steenberg
Journal:  J Clin Microbiol       Date:  1993-04       Impact factor: 5.948

6.  A test for detection of clustering over time.

Authors:  S Wallenstein
Journal:  Am J Epidemiol       Date:  1980-03       Impact factor: 4.897

Review 7.  Bacterial food-borne zoonoses.

Authors:  C J Thorns
Journal:  Rev Sci Tech       Date:  2000-04       Impact factor: 1.181

8.  Epidemiology of Salmonella enterica serovars enteritidis and Typhimurium in animals and people in Scotland between 1990 and 2001.

Authors:  A Smith-Palmer; W C Stewart; H Mather; A Greig; J M Cowden; W J Reilly
Journal:  Vet Rec       Date:  2003-10-25       Impact factor: 2.695

  8 in total
  2 in total

1.  Use of spatiotemporal analysis of laboratory submission data to identify potential outbreaks of new or emerging diseases in cattle in Great Britain.

Authors:  Kieran Hyder; Alberto Vidal-Diez; Joanna Lawes; A Robin Sayers; Ailsa Milnes; Linda Hoinville; Alasdair J C Cook
Journal:  BMC Vet Res       Date:  2011-03-19       Impact factor: 2.741

2.  Utility of algorithms for the analysis of integrated Salmonella surveillance data.

Authors:  L Vrbova; D M Patrick; C Stephen; C Robertson; M Koehoorn; E J Parmley; N I DE With; E Galanis
Journal:  Epidemiol Infect       Date:  2016-07       Impact factor: 4.434

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.