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http://dx.doi.org/10.12815/kits.2022.21.4.78

Development of Predicting Model for Livestock Infectious Disease Spread Using Movement Data of Livestock Transport Vehicle  

Kang, Woong (Dept. of Industrial and Management Engineering, Korea University)
Hong, Jungyeol (Dept. of Transportation Engineering, Keimyung University)
Jeong, Heehyeon (Public and Private Infrastructure Investment Management Center, Korea Development Institute)
Park, Dongjoo (Dept. of Transportation Engineering, University of Seoul)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.21, no.4, 2022 , pp. 78-95 More about this Journal
Abstract
The result of previous studies and epidemiological invstigations for infectious diseases epidemic in livestock have shown that trips made by livestock-related vehicles are the main cause of the spread of these epidemics. In this study, the OD traffic volume of livestock freight vehicle during the week in each zone was calculated using livestock facility visit history data and digital tachograph data. Based on this, a model for predicting the spread of infectious diseases in livestock was developed. This model was trained using zonal records of foot-and-mouth disease in Gyeonggi-do for one week in January and February 2015 and in positive, it was succesful in predicting the outcome in all out of a total 13 actual infected samples for test.
Keywords
Livestock transport vehicle; Digital tachograph(DTG); Livestock facility visit history; Livestock infectious disease; Prediction by bigdata;
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