Spatial Analysis of African Swine Fever Outbreak: A Basis for Developing a Web-Based Decision Support System using Business Analytics and Geospatial Technology
DOI:
https://doi.org/10.69478/JITC2024v6n4a07Keywords:
African Swine Fever, Decision Support System, Business Analytics, GIS, DBSCANAbstract
The Philippine hog industry, crucial to national food security and rural economies, is facing a major threat from African Swine Fever (ASF), a highly contagious disease that has devastated the domestic pig population since its emergence in 2019. The economic toll has been severe, with over 300,000 pigs culled to control outbreaks. Despite government efforts, including the declaration of a national state of calamity and various biosecurity measures, the response has been hindered by insufficient testing and weak monitoring mechanisms. This study proposes the development of a web-based decision support system (DSS) to enhance ASF management using Business Analytics, Geographic Information Systems (GIS) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). The system aims to map ASF outbreaks in real-time, identify disease hotspots, and provide actionable insights to various stakeholders, including veterinarians, farmers, and policymakers. It integrates descriptive, predictive, and prescriptive analytics to support informed decision-making, optimize resources, and guide targeted interventions. The research uses Region 6, Western Visayas, as a case study, known for its high ASF outbreak rate and significant role in the national hog industry. The DSS employs spatial and non-spatial data, including outbreak trends and biosecurity protocols, and is evaluated by ASF professionals, IT experts, and policymakers to ensure its effectiveness in real-world applications. The system’s potential to improve outbreak forecasting and intervention planning is emphasized, with the goal of strengthening the resilience of the Philippine hog industry and contributing to global sustainability efforts. This study highlights the importance of integrating advanced technologies in managing ASF outbreaks, with a focus on data-driven decision-making to protect food security, promote public health, and support economic growth.
References
Department of Agriculture (DA), “Philippine Hog Industry Roadmap 2022-2026,” 2023, https://www.da.gov.ph/wp-content/uploads/2023/05/Philippine-Hog-Industry-Roadmap.pdf.
College of Veterinary Medicine, University of Minnesota, “New Research Reveals Spatial and Temporal Patterns of African Swine Fever Outbreaks in the Philippines,” July 2023, https://vetmed.umn.edu/news/new-research-reveals-spatial-and-temporal-patterns-african-swine-fever-outbreaks-philippines.
C.-H. Hsu, M. Montenegro, and A. Perez, “Space–time Dynamics of African Swine Fever Spread in the Philippines,” Microorganisms, vol. 11, no. 6, June 2023, https://doi.org/10.3390/microorganisms11061492.
C.-H. Hsu, C.-Y. Chang, S. Otake, T. W. Molitor, A. Perez, “Strategies for Transboundary Swine Disease Management in Asian Islands: Foot and Mouth Disease, Classical Swine Fever, and African Swine Fever in Taiwan, Japan, and the Philippines,” Vet. Sci., vol. 11, no. 3, March 2024, https://doi.org/10.3390/vetsci11030130.
C. Cudis, “ASF as State of Calamity Aligns LGU, National Gov’t Programs,” Philippine News Agency, May 14, 2021, https://www.pna.gov.ph/articles/1140275.
OIE (World Organization for Animal Health), “African Swine Fever,” OIE, 2023, https://www.woah.org/en/disease/african-swine-fever/.
R. A. R. Arca, “PHILIPPINES: Socio-economic Impact of ASF,” PSA, Swine Situation Report, 2018, https://rr-asia.woah.org/app/uploads/2019/12/2-philippines_socioeconomic-impact.pdf.
B. W. Morrison, K. Bergin, J. Kelson, N. M. V. Morrison, J. M. Innes, G. Zelic, Y. Al-Saggaf, M. Paul, “Decision Support Systems (DSSs) 'In the Wild': The Factors that Influence Users’ Acceptance of DSSs in Naturalistic Settings,” J. Cogn. Eng. Decis. Mak., vol. 17, no. 4, August 2023, pp. 332-350, https://doi.org/10.1177/15553434231191385.
K. D. Stärk, R. S. Morris, H. J. Benard, M. W. Stern, “EpiMAN-SF: A Decision-Support System for Managing Swine Fever Epidemics,” Revue Scientifique et Technique, vol. 17, no. 3, December 1998, pp. 682-690, https://doi.org/10.20506/rst.17.3.1130.
A. Boklund, T. Podgorski, K. Ståhl, T. Vergne, J. Cortiñas Abrahantes, A. Papanikolaou, A. Rusina, G. Zancanaro, L. Mur, “Protocol for the Descriptive Epidemiological Analysis on African Swine Fever,” European Food Safety Authority (EFSA), Technical Report, April 2023, https://doi.org/10.2903/sp.efsa.2023.EN-8029.
J. H. Choi, H. Namgung, S. J. Lim, E. K. Kim, Y. Oh, Y. C. Park, “Predicting Suitable Areas for African Swine Fever Outbreaks in Wild Boars in South Korea and Their Implications for Managing High-Risk Pig Farms,” Animals, vol. 13, no. 13, June 2023, pp. 2148, https://doi.org/10.3390/ani13132148.
R. Liang, Y. Lu, X. Qu, Q. Su, C. Li, S. Xia, Y. Liu, Q. Zhang, X. Cao, Q. Chen, B. Niu, “Prediction for Global African Swine Fever Outbreaks Based on a Combination of Random Forest Algorithms and Meteorological Data,” Transboundary and Emerging Diseases, vol. 67, no. 2, November 2019, pp. 935-946, https://doi.org/10.1111/tbed.13424.
L. Klein, U. Gerdes, S. Blome, A. Campe, E. G. Beilage, “Biosecurity Measures for the Prevention of African Swine Fever on German Pig Farms: Comparison of Farmers’ Own Appraisals and External Veterinary Experts’ Evaluations,” Porcine Health Management, vol. 10, March 2024, https://doi.org/10.1186/s40813-024-00365-x.
United States Department of Agriculture, “African Swine Fever (ASF) Response Ready Reference Guide—Summary of the Initial Response Actions,” version 2, USDA APHIS Veterinary Services, National Preparedness and Incident Coordination (NPIC), May 2020, https://www.aphis.usda.gov/sites/default/files/fsc-asf-summary-initial-actions.pdf.
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