Ovine Network between Fatteners and Breeders in Middle Atlas of Morocco: Where to Act to Prevent the Spread of Epidemics?
DOI:
https://doi.org/10.17140/EPOJ-4-115Keywords:
Ovine network, Epizotic of (Peste des Petits Ruminants), Mapping, Social network analysis, Hub, Betweenness, Degree, Strong component, CutpointAbstract
Objective
This cartographic and analytical study, using the social network analysis method, aims to characterize sheep mobility from breeders producing lambs in the Middle Atlas Mountains to the fattening centers, passing through livestock markets in order to describe the exchange network, to identify the main mobility hubs and to secure the production of fattening lambs by improving the efficiency of the epidemiological surveillance system for “peste des petits ruminants” (PPR) in lambs producers of the Middle Atlas in Morocco.
Design
Descriptive cross-sectional study within the framework of active epidemiological surveillance. It was carried out at a regional level, for mapping the movements of sheep and to analyze the network of exchange relating to this species by the Social Network Analysis (SNA) method in the middle atlas massif and in the zone of sheep fatteners to guide epidemiological surveillance efforts. A total of 807 breeders producing lambs, sheep fatteners and traders were surveyed, including 54 fatteners in fattening workshops (sampling fraction of 48.6%), 150 breeders and traders in livestock markets of Middle Atlas and 603 producing lamb breeders of this massif (sampling fraction at the massif level of 6.64%).
Results
The study revealed a very strong commercial relationship between middle Atlas breeders and fattening zone breeders whose long range outflows mainly converge towards urban consumption centers. The major strategic livestock markets of the middle Atlas proved to be key points in the articulation of the flows, as was the commune gathering the fatteners. Centrality indicators were used to identify the main trade hubs that contribute to the spread of diseases and to quantify their importance in the influence of sheep movement, while network cohesion parameters have shown that network is vulnerable to the spread of epidemics.
Conclusion
The results of this survey revealed the main commercial hubs at the Middle Atlas level and at the level of the province of fatteners, which represent a great risk of spreading sheep diseases over long distances rather quickly in event of an epizootic, but also representing the ability to control the spread through the control of the movement of animals at their level.
References
Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Situation épidémiologique de la peste des petits rumi-nants au Maroc en 2008 [In: French]. Rabat-Maroc. 2008; 2.
Diallo A, Campo P. Mission d’évaluation rapide et d’assistance technique au gouvernement du Maroc dans le cadre des activités de contrôle de la peste des petits ruminants, Rapport de mission du 2 septembre 2008, Centre de gestion des crises-santé animale FAO/ OIE [In: French]. 2008; 21.
Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Données de la Direction des Statistiques et de la Straté-gie [In: French]. Rabat- Maroc. 2014; 2.
Perisse ARS, Nery JAC. The relevance of social network analysis on the epidemiology and prevention of sexually transmitted dis-eases [In: French]. Cad Saude Publica. 2007; 23 Sup 3: S361-S369.
McDonald GC, James R, Krause J, Pizzari T. Sexual networks: Measuring sexual selection in structured, polyandrous populations. Phil Trans R Soc B. 2013; 368: 1-10. doi: 10.1098/rstb.2012.0356
Klovdahl AS. Social networks and the spread of infectious dis-eases: The AIDS example. Soc Sci Med. 1985; 21(11): 1203-1216. doi: 10.1016/0277-9536(85)90269-2
Dubé C, Ribble C, Kelton D, McNab B. A review of network analysis terminology and its application to foot-and-mouth disease modelling and policy development. Transbound Emerg Dis. 2009; Submit your article to this journal | https://openventio.org/submit-manuscript/ 56(3): 73-85. doi: 10.1111/j.1865-1682.2008.01064.x
Webb CR. Investigating the potential spread of infectious dis-eases of sheep via agricultural shows in Great Britain. Epidemiol Infect. 2006; 134: 31-40. doi: 10.1017/S095026880500467X
Kao RR, Danon L, Green DM, Kiss IZ. Demographic structure and pathogen dynamics on the network of livestock movements in Great Britain. Proc Biol Sci. 2006; 273: 1999-2007. doi: 10.1098/ rspb.2006.3505
Rautureau S. Simulations D’épizooties De Fièvre Aphteuse Et Aide à la Décision: Approche Epidémiologique Et Economique. [dissertation]. [In: French]. Paris: Doctoral school public health. Web site. https://tel. archives-ouvertes.fr/tel-00709417/. 2012. Accessed July 9, 2019.
Sabidussi G. The centrality of a graph. Psychometrika. 1966; 31: 581-603.
Freeman LC. Centrality in social networks, conceptual clari-fication. Soc Networks. 1978-1979; 1: 215-239. doi: 10.1016/0378- 8733(78)90021-7
Résultats préliminaires du recensement général de l’agriculture (RGA), DPAE. Ministère de l'agriculture du développement rural et des pêches maritimes [In: French]. 1998.
Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Résultats de l’enquête menée dans les marchés straté-giques du royaume [In: French]. Rabat-Maroc. 2012; 16.
Boulanouar B, Benlekhal A. L’élevage ovin au Maroc: De la production à la consommation [In: French]. L’élevage du mouton et ses systèmes de production au Maroc. 2006; 3-32.
Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Enquête dans les unités d’engraissement de Sidi-Bet-tache-Benslimane [In: French]. Rabat- Maroc. Du 22/08/2008 au 20/09/2008. 111.
Pastor-Satorras R, Vespignani A. Epidemic spreading in scale-free networks. Phys Rev Lett. 2001; 86: 3200-3203. doi: 10.1103/ PhysRevLett.86.3200
Croft DP, James R, Krause J. Exploring Animal Social Networks. Princeton, NJ: Princeton University Press; 2008.
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