Ovine Network in Morocco: Epizootics Spread Prevention and Identification of the At-Risk Areas for “Peste des Petits Ruminants” and “Foot and Mouth Disease”

Crossmark: check for updates

Authors

  • Yassir Lezaar National Office of Food Safety (ONSSA), Rabat, Morocco
  • Mehdi Boumalik Institut Agronomique et Vétérinaire Hassan II (IAV Hassan II), Rabat, Morocco
  • Youssef Lhor National Office of Food Safety (ONSSA), Rabat, Morocco
  • Moha El-Ayachi Institut Agronomique et Vétérinaire Hassan II (IAV Hassan II), Rabat, Morocco
  • Abelilah Araba Institut Agronomique et Vétérinaire Hassan II (IAV Hassan II), Rabat, Morocco
  • Mohammed Bouslikhane Institut Agronomique et Vétérinaire Hassan II (IAV Hassan II), Rabat, Morocco

DOI:

https://doi.org/10.17140/epoj.2023.v8.i01.pp20-38.1670

Keywords:

Morocco, Ovine, Mobility, Contagious diseases, Mapping, Network analysis, Risk analysis

Abstract

Objectives: Because contagious diseases spread among domestic ruminants are closely linked to livestock movements, the present study aims to analyze the sheep movements network in Morocco during its two periods of regular movements and more intense movements in the festive period, to map it and identify central points and movement structures that influence its functioning, but also to highlight the articulation points at which actions should be taken to prevent or control the epizootics spread. The aim of this study is also to produce risk maps for introduction and exposure to Peste des Petits Ruminants (PPR) and Foot-and-Mouth Disease (FMD), to guide the epidemiological surveillance efforts.
Methodology: This is a descriptive study, and which results placed it within the framework of epidemiological surveillance on a national scale. A two-stage random sampling was carried out in 52 provinces belonging to regions with very high sheep populations and whose municipalities have been subject to previous outbreaks of diseases, notably PPR and FMD. A sampling proportion of 25% of municipalities was adopted for each province. Within each commune, sheep farms and markets, if existed, were drawn randomly.  In the absence of a breeder database, the sample relating to farms was carried out by representativeness of the sheep population for  each municipality. The sample relating to markets was carried out as representative of the trading volume of the markets. An “Origin destination” survey concerning the origin and destination of sheep routes made by breeders or traders was deployed in the field. The results of this survey were entered into a database and then mapped by the Geographic Information System (GIS) to distinguish regular movements from periodic ones. After data reorganization into two movement periods, the database was processed by the network analysis method to highlight the main central points and the main structures that condition the movement. All these analyses were conducted using the “R” software. The risk analysis of introduction and exposure to PPR and FMD was also carried out. The results obtained were compared with the epidemiological data of these diseases.
Results: The sheep movement network in Morocco is much more sensitive to the epizootics spread during intense movement periods corresponding to preparation for the festivities, namely Aid al Adha than during regular periods. The centrality of certain municipalities exposes them to the risk of diseases during periods of intense movement, while others appear exposed during both periods. This study has traced back the different regions by cohesive structures of movement which condition the circulation of disease pathogens across the country and which strongly contribute to their diffusion across regions which are sometimes very distant geographically. However, the movement articulation municipalities “cutpoints”, that allow to neutralize flows between these structures have been identified. The introduction and exposure risk analysis provided satisfactory results for the PPR and FMD about their validation by health epidemiological data related to outbreaks. Thus, 82.88% and 67.39% of outbreaks were included in the high to very high risk strata respectively for PPR and FMD.
Conclusion: This study’s results allowed a better understanding of sheep movements extent and articulation at the national level during periods of regular movements and periods of more intense movements and consequently a better knowledge of the pathogen's dissemination paths. Highlighting “cutpoint” municipalities in addition to the at-risk municipalities for introduction and exposure to diseases represents valuable guidance for targeted actions that would contribute to remobilizing and optimizing available surveillance resources more efficiently.

References

Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Situation épidémiologique de la peste des petits ru-minants au Maroc en 2008 [In: French]. Rapport interne du 19 Original Research | Volume 8 | Issue 1 | Lezaar Y, et al décembre 2008.

Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Situation épidémiologique de la Fièvre Aphteuse au Ma-roc en 2015 [In: French]. Rapport interne de 2015. Rabat-Maroc. 2015; 1.

Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Situation épidémiologique de la Fièvre Aphteuse au Ma-roc en 2019 [In: French]. Rapport interne de 2019. 2.

Lezaar Y. Renforcement du système de surveillance épidémi-ologique de la PPR et caractérisation de la mobilité ovine depuis les élevages naisseurs du moyen atlas du Maroc vers les engrais-seur [In: French]. Rapport de stage. Ecole Nationale Vétérinaire d’Alfort. 2014.

MADRPM. Rapport de transhumance- Ministére de l’Agriculture du developpement rural et des péches maritimes. [In: French]. Ver-sion Mai 2007.

DSS-Office National de Sécurité Sanitaire des produits Alimen-taires (ONSSA). Données de la Direction des Statistiques et de la Stratégie. Rabat- Maroc. 2023. 4.

Lezaar Y, Mounir K, Coste C, Lancelot R, Bouslikhane M. Ovine network between fatteners and breeders in middle atlas of Mo-rocco: Where to act to prevent the spread of epidemics? Epidemiol Open J. 2019; 4(1): 21-30. doi: 10.17140/EPOJ-4-115

Organisation mondiale de la santé animale/World Organisation for Animal Health (OMSA/WOAH). Base de données du système mondial d'information sanitaire (WAHIS Interface) – Version 1. Diponible en ligne. Website. http://www.oie.int/fr/sante-ani-male-dans-le-monde/le-systeme-mondial-dinformation-sanitaire/ systeme-mondial-dinformation-sanitaire. Accessed December 23, 2023.

Squarzoni-Diaw C, Arsevska E, Kalthoum S, et al. Using a par-ticipatory qualitative risk assessment to estimate the risk of intro-duction and spread of transboundary animal diseases in scarce-data environments: A spatial qualitative risk analysis applied to foot-and-mouth disease in Tunisia 2014–2019. Transboundary and Emerging Diseases. 2020; 68(4): 1966-1968. doi: 10.1111/tbed.13920

Données de la Direction des Statistiques et de la Stratégie-Office National de Sécurité Sanitaire des produits Alimentaires (DSS-ONSSA). Rabat- Maroc. 2015. 4.

Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Résultats de l’enquête menée dans les marchés straté-giques du royaume [In: French]. 2012. 16.

Stattner E. Contributions à l’étude des Réseaux Sociaux: Prop-agation, Fouille, Collecte de Données. Système multi-agents. [dis-sertation]. [In: French]. Français: Université des Antilles-Guyane; 2012.

Perisse ARS, Nery JAC. The relevance of social network analy-sis on the epidemiology and prevention of sexually transmitted diseases. Cad Saude Publica. 2007; 23 Sup 3: S361-S369.

Klovdahl AS. Social networks and the spread of infectious diseases: 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 net-work analysis terminology and its application to foot-and-mouth disease modelling and policy development. Transbound Emerg Dis. 2009; 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 struc-ture and pathogen dynamics on the network of livestock move-ments in Great Britain. Proc Biol Sci. 2006; 273: 1999-2007. doi: 10.1098/rspb.2006.3505

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

Rautureau S. Simulations D’épizooties de Fièvre Aphteuse Et aide à la Décision: Approches épidémiologique et économique. [dissertation]. Bures-sur-Yvette, France: Université Paris XI. 2012.

Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang DU. Complex networks: Structure and dynamics. Physics Reports. 2006; 424 (4-5): 175-308. doi: 10.1016/j.physrep.2005.10.009

Börner K, Sanyal S, Vespignani A. Network Science. Annu. Rev. Inf. Sci. Technol. 2007; 41: 537-607.

Gay B, Dousset B, Wanassi R. Les indicateurs structurels d’un graphe: Calculs, visualisation, interactivité. 5ème séminaire de Veille Stratégique Scientifique & Technologique (VSST 2013). 2013; ffhal-02639447f. https://hal.science/hal-02639447/.

Matias C. Notes de cours : Analyse statistique de graphes. M2 Université Pierre et Marie Curie. 2018. Website. http://cmatias. perso.math.cnrs.fr/Docs/Cours_Stats_Graphes.pdf. Accessed December 23, 2023.

Lemieux V. Théorie Des Graphes et Sciences Sociales [In: French]. Toulouse, France: Presses Universitaires du Midi; 1999. 91-109. doi: 10.4000/books.pumi.14085

Sabidussi G. The centrality of a graph. Psychometrika. 1966; 31: 581-603. doi: 10.1007/BF02289527

Freeman LC. Centrality in social networks, conceptual clarifica-tion. Social Networks.. (1978-1979); 1: 215-239. doi: 10.1016/0378- 8733(78)90021-7 37 Lezaar Y, et al

Hawe P, Webster C, Shiell A. A glossary of terms for navi-gating the field of social network analysis. Journal of Epidemiol-ogy & Community Health. 2004; 58(12): 971-975. doi: 10.1136/ jech.2003.014530

Bonacich P. Power and centrality. Am J Sociol. 1987; 92(5): 1170-1182.

Kiss IZ, Green DM, Kao RR. The network of sheep move-ments within Great Britain: Network properties and their implica-tions for infectious disease spread. J R Soc Interface. 2006; 3(10): 669-677. doi: 10.1098/rsif.2006.0129

Pierron T. Induction Schemes: From Language Separation to Graph Colorings. [dissertation]. Nouvelle-Aquitaine, France: Université de Bordeaux; 2019.

Duncan LR, Perry AD. A method of matrix analysis of group structure. Psychometrika. 1949; 14 (2): 95-116. doi : 10.1007/ BF02289146

Newman MEJ, Girvan M. Finding and evaluating community structure in networks. Physical Review E. 2004; 69(2): 026113. doi: 10.1103/PhysRevE.69.026113

Clauset A, Newman ME, Moore C. Finding community struc-ture in very large networks. Physical Review E. 2004; 70(6): 066111. doi: 10.1103/PhysRevE.70.066111

Girvan M, Newman MEJ. Community structure in social and biological networks. Proceedings of the National Academy of Sciences. 2002; 99(12): 7821-7826. doi: 10.1073/pnas.122653799

Giacomini A. Analyse de L’influence de la Structure du Réseau sur la Diffusion de Maladies: étude sur la Mobilité du Bétail au Sénégal. Rapport de Stage. Toulouse, France: Université Toulouse III; 2021.

Arsevska E. Analyse du risque d’introduction du virus de la fièvre de la vallée du Rift en Tunisie et proposition d’un dispositif de surveillance. [In: French]. Rapport de stage. 2012.

Dufour B, Plée L, Moutou F, Boisseleau D, Chartier C, Du-rand B. A qualitative risk assessment methodology for scientific expert panels. Rev Sci Tech. 2011; 30(3): 673-681. doi: 10.20506/ rst.30.3.2063

Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Decoupage administrative national à l’échelle des re-gions. [In: French]. provinces et communes. 2015.

Gilbert M, Cinardi G, Da Re D, Wint WGR. Wisser D, Robin-son TP. Global sheep distribution in 2015 (5 minutes of arc). 2022. doi: 10.7910/DVN/VZOYHM

Nelson AD. Travel time to major cities: A global map of acces-sibility: Poster+dataset. http://forobs.jrc.ec.europa.eu/products/ gam/download.php. 2008. Accessed December 23, 2023. Original Research | Volume 8 | Issue 1 |

Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Analyse cartographique et statistique de la diffusion de l’épizootie de Fiévre aphteuse de 2015. [In: French]. Document interne. 2015.

Office National de Sécurité Sanitaire des produits Alimentaires (ONSSA). Analyse cartographique et statistique de la diffusion de l’épizootie de Fiévre aphteuse de 2019. [In: French]. 2019.

Bezeid, A. E. M. B. Epidémiologie de la fièvre de la Vallée du Rift en zone aride : Exemple de la Mauritanie. 2016. Thèse de Doc-torat. Université Cheikh Anta Diop de Dakar. 2016.

Menczer F, Fortunato S, Davis CA. A First Course in Network Science. Cambridge, UK: Cambridge University Press; 2020.

Valerio VC. The structure of livestock trade in West Africa. 2020. Website. https://www.oecd.org/countries/mali/the-struc-ture-of-livestock-trade-in-west-africa-f8c71341-en.htm. Accessed December 23, 2023.

Diallo A, Campo P. Mission d’évaluation rapide et d’assistance Submit your article to this journal | https://openventio.org/submit-manuscript/ Original Research | Volume 8 | Issue 1 | Lezaar Y, et al technique au gouvernement du Maroc dans le cadre des activités de contrôle de la peste des petits ruminants. [In: French]. 2008. 21.

Salathé M, Jones JH. Dynamics and control of diseases in net-works with community structure. PLoS Comput Biol. 2010; 6. doi: 10.1371/journal.pcbi.1000736

Lezaar Y, Manneh M, Apolloni A, Berrada J, Bouslikhane M. Transboundary livestock network in Africa: How circulate patho-gens and where to act to prevent the epizootics spread? Epidemiol Open J. 2023; 8(1): 1-19. doi: 10.17140/EPOJ-8-130

Hammami P, Arsevska E, Coste C, Métras R, Squarzoni-Diaw C. Analyse qualitative et cartographique du risque sanitaire lié à la fièvre aphteuse. 2019. https://www.fao.org/eufmd/meetings-and-events/detail/ru/c/1197701/. Accessed December 23, 2023.

Lezaar Y, Kechna R. Surveillance basée sur le risque: Cas de la PPR. [In: French]. 17e réunion du Comité Permanent du REMESA. 2018.

Downloads

Published

2024-03-12

How to Cite

Yassir Lezaar, Mehdi Boumalik, Youssef Lhor, Moha El-Ayachi, Abelilah Araba, & Mohammed Bouslikhane. (2024). Ovine Network in Morocco: Epizootics Spread Prevention and Identification of the At-Risk Areas for “Peste des Petits Ruminants” and “Foot and Mouth Disease”. Epidemiology, 8(1), 20–38. https://doi.org/10.17140/epoj.2023.v8.i01.pp20-38.1670