Literature DB >> 11548531

Tracing systems used during the epidemic of classical swine fever in the Netherlands, 1997-1998.

A R Elbers1, H Moser, H M Ekker, P A Crauwels, J A Stegeman, J A Smak, F H Pluimers.   

Abstract

Any outbreak of an animal disease classified as a List A disease by the Office International des Epizooties, such as classical swine fever (CSF), has severe consequences for animal welfare, livestock production, exports of animals and animal products and the environment. Experience shows that early detection and response to a suspected disease outbreak will maximise the effectiveness of the emergency response actions and minimise the social, economic and environmental costs associated with the outbreak. The development and implementation of measures designed to minimise the risk of diseases entering a country or region has been the predominant animal health management strategy in most countries. However, even the strongest preventive management systems do not guarantee that outbreaks of animal diseases will not occur. Tracing, a procedure that begins with a known infected individual, herd or flock, and which traces all possible locational and interactive exposures in both directions, back towards the source and forward to contacts, is the backbone of disease emergency management. The authors provide an introduction to, and general overview of, tracking and tracing systems used during a recent epidemic of CSF in the Netherlands from 1997 to 1998.

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Year:  2001        PMID: 11548531     DOI: 10.20506/rst.20.2.1296

Source DB:  PubMed          Journal:  Rev Sci Tech        ISSN: 0253-1933            Impact factor:   1.181


  5 in total

Review 1.  How outbreaks of infectious disease are detected: a review of surveillance systems and outbreaks.

Authors:  Virginia Dato; Michael M Wagner; Abi Fapohunda
Journal:  Public Health Rep       Date:  2004 Sep-Oct       Impact factor: 2.792

2.  No long-term influence of movement restriction regulations on the contact-structure between and within cattle holding types in the Netherlands.

Authors:  Henriëtte Brouwer; Chris J M Bartels; Arjan Stegeman; Gerdien van Schaik
Journal:  BMC Vet Res       Date:  2012-10-11       Impact factor: 2.741

3.  The simulated air flow pattern around a moving animal transport vehicle as the basis for a prospective biosecurity risk assessment.

Authors:  Jens Seedorf; Ralf-Gunther Schmidt
Journal:  Heliyon       Date:  2017-08-02

4.  Inferring within-herd transmission parameters for African swine fever virus using mortality data from outbreaks in the Russian Federation.

Authors:  C Guinat; T Porphyre; A Gogin; L Dixon; D U Pfeiffer; S Gubbins
Journal:  Transbound Emerg Dis       Date:  2017-11-09       Impact factor: 5.005

5.  Reconstructing foot-and-mouth disease outbreaks: a methods comparison of transmission network models.

Authors:  Simon M Firestone; Yoko Hayama; Richard Bradhurst; Takehisa Yamamoto; Toshiyuki Tsutsui; Mark A Stevenson
Journal:  Sci Rep       Date:  2019-03-18       Impact factor: 4.379

  5 in total

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