Application of Spatial Risk Assessment Integrated With a Mobile App in Fighting Against the Introduction of African Swine Fever in Pig Farms in Thailand: Development Study

Jul 07, 2022

Abstract: Application of Spatial Risk Assessment Integrated With a Mobile App in Fighting Against the Introduction of African Swine Fever in Pig Farms in Thailand: Development Study

Background: African swine fever (ASF), a highly contagious disease affecting both domestic and wild pigs, has been having a serious impact on the swine industry worldwide. This important transboundary animal disease can be spread by animals and ticks via direct transmission and by contaminated feed and fomites via indirect transmission because of the high environmental resistance of the ASF virus. Thus, the prevention of the introduction of ASF to areas free of ASF is essential. After an outbreak was reported in China, intensive import policies and biosecurity measures were implemented to prevent the introduction of ASF to pig farms in Thailand.
Objective: Enhancing prevention and control, this study aims to identify the potential areas for ASF introduction and transmission in Thailand, develop a tool for farm assessment of ASF risk introduction focusing on smallholders, and develop a spatial analysis tool that is easily used by local officers for disease prevention and control planning.
Methods: We applied a multi-criteria decision analysis approach with spatial and farm assessment and integrated the outputs with the necessary spatial layers to develop a spatial analysis on a web-based platform.
Results: The map that referred to potential areas for ASF introduction and transmission was derived from 6 spatial risk factors; namely, the distance to the port, which had the highest relative importance, followed by the distance to the border, the number of pig farms using swill feeding, the density of small pig farms (<50 heads), the number of pigs moving in the area, and the distance to the slaughterhouse. The possible transmission areas were divided into 5 levels (very low, low, medium, high, and very high) at the subdistrict level, with 27 subdistricts in 10 provinces having very high suitability and 560 subdistricts in 34 provinces having high suitability. At the farm level, 17 biosecurity practices considered as useful and practical for smallholders were selected and developed on a mobile app platform. The outputs from the previous steps integrated with necessary geographic information system layers were added to a spatial analysis web-based platform.

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T.K. Cheung Lecture in Animal Science: "Using science to assess and improve the welfare of dairy cattle"

Dan Weary is a Professor at the University of British Columbia. Dan did his BSc and MSc at McGill and Doctorate at Oxford before co-founding UBC’s Animal Welfare Program where he now co-directs this active research group. His research focuses on understanding the perspectives of animals and applying these insights to develop methods of assessing animal welfare and improving the lives of animals. His work has helped drive changes in practices (including the adoption of higher milk rations for calves and pain management for disbudding) and housing methods (including the adoption of social housing for pre-weaned calves). He also studies cow comfort and lameness, social interactions among cows, and interactions between cows, human handlers and technologies like automated millking systems that are increasingly used on farms. His presentation will outline key questions in cattle welfare, highlight recent UBC research addressing them, and showcase innovative methods for improving the lives of cattle and their caretakers.