Machine learning‐driven dynamic risk prediction for highly pathogenic avian influenza at poultry farms in Republic of Korea: Daily risk estimation for individual premises-Reference-Cited by-同舟云学术

Machine learning‐driven dynamic risk prediction for highly pathogenic avian influenza at poultry farms in Republic of Korea: Daily risk estimation for individual premises

Published:2021-12-27 Issue: Volume: Page:
ISSN:1865-1674
Container-title:Transboundary and Emerging Diseases
language:en
Short-container-title:Transbounding Emerging Dis

Author:

Yoo Dae‐sung¹^ORCID,Song Yu‐han²,Choi Dae‐woo²,Lim Jun‐Sik³,Lee Kwangnyeong⁴,Kang Taehun²

Affiliation:

1. Department of Public Health, College of Medicine Korea University Seoul Republic of Korea

2. Department of Statistics, Graduate School Hankuk University of Foreign Studies Seoul Republic of Korea

3. College of Veterinary Medicine and Institute of Veterinary Science Kangwon National University Chuncheon Republic of Korea

4. Avian Influenza Research and Diagnostic division Animal and Plant Quarantine Agency Gimcheon Republic of Korea

Publisher

Wiley

Subject

General Veterinary,General Immunology and Microbiology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tbed.14419

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4. Assessment of Biosecurity Measures Against Highly Pathogenic Avian Influenza Risks in Small-Scale Commercial Farms and Free-Range Poultry Flocks in the Northcentral Nigeria

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