Social Network Analysis Pergerakan Ternak Babi Terhadap Penyebaran Penyakit Classical Swine Fever atau Hog cholera di Kabupaten Sikka Pulau Flores Provinsi Nusa Tenggara Timor, Indonesia
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Petrus Malo Bulu(1*)
Politeknik Pertanian Negeri Kupang
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Ewaldus Wera(2)
Politeknik Pertanian Negeri Kupang
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Margaretha Sikko(3)
Livestock Services, District of Sikka, Jalan Wairklau, Kota Maumere, Flores, East Nusa Tenggara Province.
(*) Corresponding Author
Abstract
Classical Swine Fever (CSF) is a serious and highly infectious viral disease of both domestic pigs and wild boar. The disease was classified as a pestivirus within the family Flaviviridae that forms a group of economically important pathogens. This disease has become endemic in some districts in Nusa Tenggara Timur. However, it gained entry into the district of Sikka in 2016. This disease was suspected to gain entry into Sikka by the movements of pigs (pig trading). However, it was not certain how this disease introduced and transmitted into the region. This research was aimed to identify and analyze the movement of pigs through the trade chain as a pathway to spread the disease within farms in the district of Sikka.
A total of 57 respondents were interviewed in this study involved sellers and buyers in the markets (4 buyers and 4 sellers in each market-a total of 32 people), suppliers of pigs (10 people), and pig farmers as many as 5 respondents per village (3 villages selected purposively). A face-to-face interview was conducted to obtain information from the respondents.
The results of the study found that market sellers and buyers are actively moving through the market network, and therefore could potentially contribute to the spread of CSF in Sikka, if an outbreak occurred in the region. The in and out-degree values in the current study suggest that pigs were moving in and out of the areas through the movement of sellers and buyers.
This study also found that Node S5 plays a key role in transmitting information to all other nodes in the network of pigs in Sikka. This study also found that there was potential movement of pigs in different villages in Sikka through the directed links or ties, which could contribute to the transmission and spread of CSF.
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References
Bigras-Poulin, Michel, Kristen Barfod, Sten Mortensen, and Matthias Greiner. 2007. "Relationship of trade patterns of the Danish swine industry animal movements network to potential disease spread." Preventive Veterinary Medicine 80 (2-3):143-165. doi: 10.1016/j.prevetmed.2007.02.004.
Bollobás, Béla, and Oliver M Riordan. 2003. Mathematical Results on Scale-Free Random Graphs. 1st ed, Handbook of Graphs and Networks: From the Genome to the Internet. Germany: John Wiley & Sons.
Borgatti, Stephen P., and Martin G. Everett. 1997. "Network analysis of 2-mode data." Social Networks 19 (3):243-269. doi: 10.1016/S0378-8733(96)00301-2.
Bouttier, Jérémie, P Di Francesco, and E. Guitter. "Geodesic distance in planar graphs." Nuclear Physics B 663 (3):535–567.
Dubé, C, C Ribble, D Kelton, and B McNab. 2009. "A review of network analysis terminology and its application to foot-and-mouth disease modelling and policy development." Transboundary and Emerging Diseases 56 (3):73-85. doi: 10.1111/j.1865-1682.2008.01064.x.
Granovetter, Mark. 1983. "The strength of weak ties: A network theory revisited." Sociological Theory 1 (1):201-233.
Green, Darren Michael, Alison Gregory, and Lorna Ann Munro. 2009. "Small-and large-scale network structure of live fish movements in Scotland." Preventive Veterinary Medicine 91 (2):261-269.
Hanneman, Robert A, and Mark Riddle. 2005a. "Introduction to Social Network Methods." In: University of California Riverside (published in digital form at http://faculty.ucr.edu/~hanneman/).
Hanneman, Robert A, and Mark Riddle. 2005b. Introduction to Social Network Methods. University of California Riverside.
Izquierdo, Luis R, and Robert A Hanneman. 2006. "Introduction to the formal analysis of social networks using mathematica." University of California, Riverside.
Keeling, Matt J, and Ken TD Eames. 2005. "Networks and epidemic models." Journal of the Royal Society Interface 2 (4):295-307.
Klovdahl, Alden S, John J Potterat, Donald E Woodhouse, John B Muth, Stephen Q Muth, and William W Darrow. 1994. "Social networks and infectious disease: The Colorado Springs study." Social Science & Medicine 38 (1):79-88.
Li, Jing, Jing-fei Wang, Chun-yan Wu, Yan-tao Yang, Zeng-tao Ji, and Hong-bin Wang. 2007. "Establishment of a Risk Assessment Framework for Analysis of the Spread of Highly Pathogenic Avian Influenza." Agricultural Sciences in China 6 (7):877-881. doi: 10.1016/S1671-2927(07)60125-4.
Makagon, Maja M., Brenda McCowan, and Joy A. Mench. 2012. "How can social network analysis contribute to social behavior research in applied ethology?" Applied animal behaviour science 138 (3-4):152-161.
Martínez-López, B., A. M. Perez, and J. M. Sánchez-Vizcaíno. 2009. "Social Network Analysis. Review of General Concepts and Use in Preventive Veterinary Medicine." Transboundary and Emerging Diseases 56 (4):109-120. doi: 10.1111/j.1865-1682.2009.01073.x.
Moennig, V., G. Floegel-Niesmann, and I. Greiser-Wilke. 2003. "Clinical signs and epidemiology of classical swine fever: a review of new knowledge." Vet J 165 (1):11-20. doi: S1090023302001120 [pii].
Molano, Sandra, and Andres Polo. 2015. "Social Network Analysis in a Learning Community." Procedia - Social and Behavioral Sciences 185:339-345. doi: http://dx.doi.org/10.1016/j.sbspro.2015.03.381.
Moody, James. 2002. "The importance of relationship timing for diffusion." Social Forces 81 (1):25-56.
Narayanan, I., K. Prakash, and V. V. Gujral. 1983. "Bacteriological analysis of expressed human milk and its relation to the outcome of high risk low birth weight infants." Indian Pediatrics 20 (12):915-920.
Narayanan, Shivaram. 2005. "The betweenness centrality of biological networks." Doctoral (Doctoral Dissertation, Virginia Polytechnic Institute and State University), Google Scholar.
Natale, Fabrizio, Armando Giovannini, Lara Savini, Diana Palma, Luigi Possenti, Gianluca Fiore, and Paolo Calistri. 2009. "Network analysis of Italian cattle trade patterns and evaluation of risks for potential disease spread." Preventive Veterinary Medicine 92 (4):341-350.
Nickbakhsh, Sema, Louise Matthews, Jennifer E. Dent, Giles T. Innocent, Mark E. Arnold, Stuart W. J. Reid, and Rowland R. Kao. 2013. "Implications of within-farm transmission for network dynamics: Consequences for the spread of avian influenza." Epidemics 5 (2):67-76. doi: http://dx.doi.org/10.1016/j.epidem.2013.03.001.
Nöremark, Maria, Nina Håkansson, Susanna Sternberg Lewerin, Ann Lindberg, and Annie Jonsson. 2011. "Network analysis of cattle and pig movements in Sweden: measures relevant for disease control and risk based surveillance." Preventive Veterinary Medicine 99 (2):78-90.
Ortiz-Pelaez, A, DU Pfeiffer, RJ Soares-Magalhaes, and FJ Guitian. 2006. "Use of social network analysis to characterize the pattern of animal movements in the initial phases of the 2001 foot and mouth disease (FMD) epidemic in the UK." Preventive Veterinary Medicine 76 (1):40-55.
Prell, Christina, Klaus Hubacek, and Mark Reed. 2009. "Stakeholder analysis and social network analysis in natural resource management." Society and Natural Resources 22 (6):501-518.
Scott, John. 2012. Social network analysis A Handbook. Second ed. London: Sage.
Wasserman, Stanley. 1994. Social Network Analysis: Methods and Applications. Vol. 8: Cambridge University Press.
Wey, Tina, Daniel T Blumstein, Weiwei Shen, and Ferenc Jordán. 2008. "Social network analysis of animal behaviour: a promising tool for the study of sociality." Animal behaviour 75 (2):333-344.
White, Douglas R., and Stephen P. Borgatti. 1994. "Betweenness centrality measures for directed graphs." Social Networks 16 (4):335-346.
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