Development of a Big-data-driven Early Warning System for Animal Diseases
Wang Neng
Han Xianghong
Yan Beibei
Abstract：With the rapid growth of the township animal husbandry industry,the frequent outbreak of animal diseases seriously threatens the safety of the industry and the income of farmers.Establishing an early warning system for animal diseases based on big data analysis is therefore essential.Focusing on the actual needs of township animal husbandry and veterinary stations,this paper proposes a method for building an early warning system for animal diseases based on big data analysis.By integrating multi-source information such as daily farm data,epidemic detection data,and environmental monitoring data,and using data analytics methods suitable for grassroots level,a straightforward and practical early warning index system and prediction model are established.This system enables early detection and warning of animal diseases,thereby enhancing prevention and control capabilities at the township level,reducing breeding losses,and promoting the healthy development of the animal husbandry as well as public health safety.
Keywords：Big data analytisAnimal diseasesEarly warning systemTownship animal husbandryVeterinary station
Publication Date：2025-10-18
Online Publishing Date：2025-11-03(First online date of this platform, not the publication date of the document)
Pages：7( 114-120 )