Prediction of the spread of highly pathogenic avian influenza using a multifactor network: Part 1 – Development and application of computational fluid dynamics simulations of airborne dispersion-Reference-Cited by-同舟云学术

Prediction of the spread of highly pathogenic avian influenza using a multifactor network: Part 1 – Development and application of computational fluid dynamics simulations of airborne dispersion

Published:2014-05 Issue: Volume:121 Page:160-176
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Seo Il-Hwan,Lee In-Bok,Moon Oun-Kyung,Jung Nam-Su,Lee Hyung-Jin,Hong Se-Woon,Kwon Kyeong-Seok,Bitog Jessie P.

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference42 articles.

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2. Effect of ventilator configuration on the distributed climate of greenhouses: a review of experimental and CFD studies;Bournet;Computers and Electronics in Agriculture,2010

3. Quantification of airborne influenza and avian influenza virus in a wet poultry market using a filter/real-time qPCR method;Chen;Aerosol Science and Technology,2009

4. Dust spatial distribution and emission of tunnel ventilated windowless broiler building;Choi;Journal of Livestock Housing and Environment.,2006

5. Protection against direct-contact challenge following emergency FMD vaccination of cattle and the effect on virus excretion from the oropharynx;Cox;Vaccine,2005

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