Literature DB >> 23402111

Impact of virus strain characteristics on early detection of highly pathogenic avian influenza infection in commercial table-egg layer flocks and implications for outbreak control.

J Todd Weaver1, Sasidhar Malladi, Timothy J Goldsmith, Will Hueston, Morgan Hennessey, Brendan Lee, Shauna Voss, Janel Funk, Christina Der, Kathe E Bjork, Timothy L Clouse, David A Halvorson.   

Abstract

Early detection of highly pathogenic avian influenza (HPAI) infection in commercial poultry flocks is a critical component of outbreak control. Reducing the time to detect HPAI infection can reduce the risk of disease transmission to other flocks. The timeliness of different types of detection triggers could be dependent on clinical signs that are first observed in a flock, signs that might vary due to HPAI virus strain characteristics. We developed a stochastic disease transmission model to evaluate how transmission characteristics of various HPAI strains might effect the relative importance of increased mortality, drop in egg production, or daily real-time reverse transcriptase (RRT)-PCR testing, toward detecting HPAI infection in a commercial table-egg layer flock. On average, daily RRT-PCR testing resulted in the shortest time to detection (from 3.5 to 6.1 days) depending on the HPAI virus strain and was less variable over a range of transmission parameters compared with other triggers evaluated. Our results indicate that a trigger to detect a drop in egg production would be useful for HPAI virus strains with long infectious periods (6-8 days) and including an egg-drop detection trigger in emergency response plans would lead to earlier and consistent reporting in some cases. We discuss implications for outbreak control and risk of HPAI spread attributed to different HPAI strain characteristics where an increase in mortality or a drop in egg production or both would be among the first clinical signs observed in an infected flock.

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Year:  2012        PMID: 23402111     DOI: 10.1637/10189-041012-Reg.1

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


  3 in total

Review 1.  BOARD INVITED REVIEW: Prospects for improving management of animal disease introductions using disease-dynamic models.

Authors:  Ryan S Miller; Kim M Pepin
Journal:  J Anim Sci       Date:  2019-05-30       Impact factor: 3.159

2.  Low- and High-Pathogenic Avian Influenza H5 and H7 Spread Risk Assessment Within and Between Australian Commercial Chicken Farms.

Authors:  Angela Bullanday Scott; Jenny-Ann L M L Toribio; Mini Singh; Peter Groves; Belinda Barnes; Kathryn Glass; Barbara Moloney; Amanda Black; Marta Hernandez-Jover
Journal:  Front Vet Sci       Date:  2018-04-09

Review 3.  Using quantitative disease dynamics as a tool for guiding response to avian influenza in poultry in the United States of America.

Authors:  K M Pepin; E Spackman; J D Brown; K L Pabilonia; L P Garber; J T Weaver; D A Kennedy; K A Patyk; K P Huyvaert; R S Miller; A B Franklin; K Pedersen; T L Bogich; P Rohani; S A Shriner; C T Webb; S Riley
Journal:  Prev Vet Med       Date:  2013-12-01       Impact factor: 2.670

  3 in total

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