Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Identification of Pre-emptive Biosecurity Zone Areas for Highly Pathogenic Avian Influenza Based on Machine Learning-Driven Risk Analysis

Version 1 : Received: 23 October 2023 / Approved: 24 October 2023 / Online: 24 October 2023 (16:46:15 CEST)

A peer-reviewed article of this Preprint also exists.

Jeon, K.-M.; Jung, J.; Lee, C.-M.; Yoo, D.-S. Identification of Pre-Emptive Biosecurity Zone Areas for Highly Pathogenic Avian Influenza Based on Machine Learning-Driven Risk Analysis. Animals 2023, 13, 3728. Jeon, K.-M.; Jung, J.; Lee, C.-M.; Yoo, D.-S. Identification of Pre-Emptive Biosecurity Zone Areas for Highly Pathogenic Avian Influenza Based on Machine Learning-Driven Risk Analysis. Animals 2023, 13, 3728.

Abstract

Over the last decade, highly pathogenic avian influenza (HPAI) has severely affected poultry production systems across the globe. In particular, massive pre-emptive depopulation of all poultry within the certain distance has raised concerns regarding animal welfare and food security. Thus, alternative approaches to reducing unnecessary depopulation, such as risk-based depopulation, are highly demanded. This paper proposes a data-driven method to generate a rule table and risk score for each farm to identify preventive measures against HPAI. To evaluate the proposed method, 105 cases of HPAI occurring in a total of 381 farms in Jeollanam-do from 2014 to 2023 were evaluated. The accuracy of preventive measure identification was assessed for each case using both the conventional culling method and the proposed data-driven method. The evaluation showed that the proposed method achieved an accuracy of 84.19%, significantly surpassing the previous 10.37%. The result was attributed to the proposed method reducing the false-positive rate by 83.61% compared with the conventional method, thereby enhancing the reliability of identification. The proposed method is expected to be utilized in selecting farms for monitoring and management of HPAI.

Keywords

Highly Pathogenic Avian Influenza (HPAI); Biosecurity Zones; Machine Learning; Risk Analysis; Pre-emptive depopulation

Subject

Biology and Life Sciences, Animal Science, Veterinary Science and Zoology

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.