A stochastic simulation model of African swine fever transmission in domestic pig farms in the Red River Delta region in Vietnam. Issue 3 (29th August 2020)

• Record Type: Journal Article
• Authors: Lee, Hu Suk; Thakur, Krishna K.; Bui, Vuong Nghia; Pham, Thanh Long; Bui, Anh Ngoc; Dao, Tung Duy; Thanh, Vu Thi; Wieland, Barbara
• Is Part Of: Transboundary and emerging diseases. Volume 68:Issue 3(2021)
• Page Start: 1384
• Page End: 1391
• Publication Date: 2020-08-29
• Subjects: African swine fever -- epidemiology -- simulation model -- transmission -- Vietnam; Veterinary medicine -- Periodicals; 636.089
• DOI: 10.1111/tbed.13802
• Languages: English
• ISSNs: 1865-1674

Abstract

Abstract: The main objectives of this study were to model various scenarios of African swine fever (ASF) virus transmission among farms in Vietnam and to evaluate the impact of control strategies using North American Animal Disease Spread Model (NAADSM). A total of 7, 882 pig farms in the Red River Delta (RRD) region were obtained from the General Statistics Office, and then, random points corresponding to the number of farms in each province were generated as exact farm locations were not available. A total of 10 models were developed, including movement control scenarios. In addition, we conducted sensitivity analysis to assess the impact of indirect contact transmission probability (TP). Overall, the indirect contact exhibited an important role in transmitting the ASF virus. In order to minimize ASF transmission between farms, we found that movement restriction needed to reach a certain level (approximately between 50% and 75%) and that the restriction had to be applied in a timely manner. This study offers valuable insight into how ASF virus can be transmitted via direct and indirect contact and controlled among farms under the various simulation scenarios. Our results suggest that the enforcement of movement restriction was an effective control measure as soon as the outbreaks were reported. In addition, this study provided evidence that high standards of biosecurity can contribute to the reduction of disease spread.