Literature DB >> 17494571

Within-flock mortality during the high-pathogenicity avian influenza (H7N7) epidemic in The Netherlands in 2003: implications for an early detection system.

A R W Elbers1, J B Holtslag, A Bouma, G Koch.   

Abstract

Daily within-flock mortality data, from a few days before until a few days after onset of increased mortality, from H7N7-infected flocks were analyzed with nonlinear regression for layer (organic and free-range or caged), broiler, and turkey flocks. The following notification thresholds were recommended for The Netherlands: 1) organic layer flocks, broiler flocks, and turkey flocks < or = 11 wk of age: > or = 0.5% mortality/day for two consecutive days; 2) layer flocks with birds housed in cages: > or = 0.25% mortality/day for two consecutive days; 3) turkey flocks > or = 16 wk of age: > or = 1% mortality/day for two consecutive days. Notification of increased mortality to the veterinary authorities should take place on the second day of increased mortality. Interpretation of mortality thresholds should be on the level of the poultry barn in which clinical problems arise. Because of nonoptimal specificity of proposed thresholds (mortality possibly caused by other diseases), use of PCR-diagnostics (results within 24 hr) without costs to the individual farmer should be promoted to exclude avian influenza in suspect clinical situations in order to minimize negative economic consequence for farmers and stimulate notification by farmers and veterinary practitioners.

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Year:  2007        PMID: 17494571     DOI: 10.1637/7579-040106R.1

Source DB:  PubMed          Journal:  Avian Dis        ISSN: 0005-2086            Impact factor:   1.577


  8 in total

1.  Detection of mortality clusters associated with highly pathogenic avian influenza in poultry: a theoretical analysis.

Authors:  Nicholas J Savill; Suzanne G St Rose; Mark E J Woolhouse
Journal:  J R Soc Interface       Date:  2008-12-06       Impact factor: 4.118

2.  Implications of within-farm transmission for network dynamics: consequences for the spread of avian influenza.

Authors:  Sema Nickbakhsh; Louise Matthews; Jennifer E Dent; Giles T Innocent; Mark E Arnold; Stuart W J Reid; Rowland R Kao
Journal:  Epidemics       Date:  2013-03-15       Impact factor: 4.396

Review 3.  Integrating novel data streams to support biosurveillance in commercial livestock production systems in developed countries: challenges and opportunities.

Authors:  M Carolyn Gates; Lindsey K Holmstrom; Keith E Biggers; Tammy R Beckham
Journal:  Front Public Health       Date:  2015-04-28

4.  Low-pathogenic notifiable avian influenza serosurveillance and the risk of infection in poultry - a critical review of the European Union active surveillance programme (2005-2007).

Authors:  J L Gonzales; A R W Elbers; A Bouma; G Koch; J J de Wit; J A Stegeman
Journal:  Influenza Other Respir Viruses       Date:  2010-03       Impact factor: 4.380

Review 5.  Highly Pathogenic Avian Influenza Viruses at the Wild-Domestic Bird Interface in Europe: Future Directions for Research and Surveillance.

Authors:  Josanne H Verhagen; Ron A M Fouchier; Nicola Lewis
Journal:  Viruses       Date:  2021-01-30       Impact factor: 5.048

6.  Estimation of transmission parameters of H5N1 avian influenza virus in chickens.

Authors:  Annemarie Bouma; Ivo Claassen; Ketut Natih; Don Klinkenberg; Christl A Donnelly; Guus Koch; Michiel van Boven
Journal:  PLoS Pathog       Date:  2009-01-30       Impact factor: 6.823

7.  Effective thresholds for reporting suspicions and improve early detection of avian influenza outbreaks in layer chickens.

Authors:  Jose L Gonzales; Armin R W Elbers
Journal:  Sci Rep       Date:  2018-06-04       Impact factor: 4.379

8.  Highly pathogenic avian influenza subtype H5Nx clade 2.3.4.4 outbreaks in Dutch poultry farms, 2014-2018: Clinical signs and mortality.

Authors:  Janneke Schreuder; Thijs T M Manders; Armin R W Elbers; Arco N van der Spek; Ruth J Bouwstra; J Arjan Stegeman; Francisca C Velkers
Journal:  Transbound Emerg Dis       Date:  2020-05-17       Impact factor: 5.005

  8 in total

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