Preventing Outbreaks: Approaches to Swine Disease Detection and Treatment in Buenavista, Guimaras, Philippines

Julius  T. Vergara,

Preventing Outbreaks: Approaches to Swine Disease Detection and Treatment in Buenavista, Guimaras, Philippines

Abstract:

This study utilized a descriptive design employing the quantitative method to analyze data using frequency counts and percentages to assess swine management practices among fifty swine raisers in Buenavista, Guimaras. Surprisingly, 6% of the herd was diagnosed with African Swine Fever (ASF), while 90% showed no symptoms, suggesting good overall health. However, relying solely on external indicators may miss preclinical cases or asymptomatic carriers. Notably, 70% of the pigs received no treatment, raising concerns about the medical practices employed. Furthermore, in 70% of cases, the type or purpose of medication was not documented, and 74% had no recorded treatment expenses, highlighting gaps in disease management and financial tracking. These findings align with previous research suggesting that swine treatment practices are inadequate or poorly documented.

References:

Afolabi, K. O., Iweriebor, B. C., Okoh, A. I., & Chikwelu, L. (2017). Global status of porcine circovirus type 2 and Its associated diseases in sub-Saharan Africa. Advances in Virology, 6807964, 1-16. https://doi.org/10.1155/2017/6807964
Balmer, S., Graage, R., Gurtner, C., Nigsch, A., Peter-Egli, J., Scheer, P., & Hadorn, D. (2015). Project pathopig—A practical approach to strengthen post-mortem analyses and early detection of pig diseases and zoonoses. Proceedings of International Conference on the Epidemiology and Control of Biological, Chemical, and Physical Hazards in Pigs and Pork. Iowa State University, Ames IA 50011, 243-246. https://doi.org/10.31274/safepork-180809-301
Birkhead, G. S., Klompas, M., & Shah, N. R. (2015). Uses of electronic health records for public health Surveillance to advance public health. Annual Review of Public Health, 36(1), 345-359. https://doi.org/10.1146/annurev-publhealth-031914-122747
Chen, Y., Xia, R., Ding, J., Meng, Z., Liu, Y., & Wang, H. (2023). How does epidemic prevention training for pig Does breeding affect the adoption of cleaning and disinfection procedures? Evidence from Chinese pig farms.Veterinary Sciences, 10(8), 516. https://doi.org/10.3390/vetsci10080516
Chung, Y., Oh, S., Lee, J., Park, J., Chang, H. W., & Kim, S. (2013). Automatic detection and recognition of pig Wasting diseases using sound data in audio surveillance systems. Sensors, 13(10), 12929-12942. https://doi.org/10.3390/s131012929
Colomer, M. A., Margalida, A., & Fraile, L. (2020). Vaccination is a suitable tool in the control of Aujeszky's Disease outbreaks in pigs using a population dynamics p systems model. Animals, 10(5), 909. https://doi.org/10.3390/ani10050909
Cowton, J., Kyriazakis, Ι., & Bacardit, J. (2019). Automated individual pig localization, tracking, and behaviour Metric extraction using deep learning. IEEE Access, 7, 108049-108060. https://doi.org/10.1109/access.2019.2933060
Ferrari, P., Ulrici, A., & Barbari, M. (2021). Analysis of housing risk factors for the welfare of lean and heavy pigs In a sample of European fattening farms. Animals, 11(11), 3221. https://doi.org/10.3390/ani11113221
Guinat, C., Wall, B., Dixon, L. K., & Pfeiffer, D. U. (2016). English pig farmers' knowledge and behavior Towards African swine fever suspicion and reporting. Plos One, 11(9), e0161431. https://doi.org/10.1371/journal.pone.0161431
Ichinose, P., Miró, M. V., Larsen, K., Lanusse, C., Lifschitz, A. L., & Virkel, G. (2022). Sustained treatment with Fenbendazole in swine: plasma availability and effects on xenobiotic metabolizing enzymes in the liver. Vet Res Commun, 47(2), 803-815. https://doi.org/10.1007/s11259-022-10041-6
Jorquera-Chavez, M., Fuentes, S., Dunshea, F. R., Warner, R. D., Poblete, T., Morrison, R., & Jongman, E.C. (2020). Remotely sensed imagery for early detection of respiratory disease in pigs: a pilot study. Animals, 10(3), 451. https://doi.org/10.3390/ani10030451
Racewicz, P., Ludwiczak, A., Skrzypczak, E., Składanowska-Baryza, J., Biesiada, H., Nowak, T., & Śłósarz, P. (2021). Welfare health and productivity in commercial pig herds. Animals, 11(4), 1176. https://doi.org/10.3390/ani11041176
Salyer, S. J., Silver, R., Simone, K., & Behravesh, C. B. (2017). Prioritizing zoonoses for global health capacity Building—themes from one health zoonotic disease workshop in 7 countries, 2014–2016. Proceedings of Emerging Infectious Diseases Congress, 2017
Schediwy, M., Balmer, S., Bredtmann, C. M., Hadorn, D., Bless, P. J., Rosato, G., & Gurtner, C. (2018). Reviving post-mortem diagnostics as a tool to increase porcine herd health and strengthen early Detection of pig diseases – the pathopig project 2014-2016. Schweiz Arch Tierheilkd, 160(6), 375-384. https://doi.org/10.17236/sat00164
Song, H., Zhao, L., Hu, J., Sun, H., & Zhou, Z. (2022). Research on the improved denseness of pig cough sound Recognition model based on tenets. Electronics, 11(21), 3562. https://doi.org/10.3390/electronics11213562
Tran, D. D., & Thanh, N.D. (2023). Pig health abnormality detection based on behavior patterns in activity periods using deep learning. International Journal of Advanced Computer Science and Applications, 14(5), 603-610. https://doi.org/10.14569/ijacsa.2023.0140564
Vrbova, L., Stephen, C., Kasman, N., Boehnke, R., Doyle‐Waters, M. M., Chablitt-Clark, A., & Patrick, D. M. (2010). A systematic review of surveillance systems for emerging zoonoses. Transboundary and Emerging Diseases, 57(3), 154-161. https://doi.org/10.1111/j.1865-1682.2010.01100.x
Zhou, B., Jiang, Y., Wu, Y., Jiang, S., Wang, K., Zeng, D., & Chen, G. (2020). Multiplex and on-site PCR Detection of swine diseases based on the microfluidic chip system. BMC Vet Res, 17(1), 117. https://doi.org/10.1186/s12917-021-02825-w