Abstract
Included from 1992 in the International Convention on Biological Diversity (CBD), themes related to Health are increasingly cited in later COPs (Conferences of the Parties) as well as taken into account into other conventions (CMS, the Convention on the Conservation of Migratory Species or CITES, Convention on International Trade in Endangered Species). From a biodiversity perspective, Health thematic encompasses dimensions of human health, animal health (domestic and wild fauna), and ecosystem health. Other ecological or environmental concepts such as biodiversity, ecosystemic approach, and risks assessment favored the emergence of Health issues and their integration into the CBD.
Having realized the mining of the textual corpus associating the three conventions related to biodiversity and all the decisions or resolutions of their respective COPs up to 2014, we obtain more than 22,172 complex nominal terms among which 213 are related to Health. Those terms are organized hierarchically into concepts (micro-ontologies), specific to each concept linked to Health (biodiversity, disease, health, pathogen, security, warning, etc.). We thus analyze how concepts are used in a complete or partial form in each COP and how they are transmitted between COPs through a multiplex network: each type of link of the network corresponds to a concept. Then, we identify the most central COPs and their gathering into communities in the process of Health issues emergence. The terminological network links being colored by concepts, we analyze how each concept contributes to the building of an integrative and multi-dimensional approach of Health issues within the main biodiversity-related conventions.
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- 1.
For example, in 1999, the Open-ended Ad Hoc Working Group on Biosafety submitted a draft text of the Cartagena Protocol on Biosafety to the Convention on Biological Diversity.
- 2.
See the Convention’s website at https://www.cbd.int/ (accessed December 19th, 2016)
- 3.
See the Convention’s website at http://www.cms.int/en/ (accessed December 19th, 2016)
- 4.
See the Convention’s website at https://www.cites.org/ (accessed December 19th, 2016)
- 5.
In other words, this list of concepts is adapted to the corpus that we analyze here. The analysis of another corpus or an extended body (for example, epidemiology, medicine, or veterinary science) would probably lead us to modify this list.
- 6.
These are the CMS COPs number 2, 4, 5, and 6, and CITES COPs number 1–8 and 14–16.
References
Bommarito, M. J., & Katz, D. M. (2010). A mathematical approach to the study of the United States code. Physica A: Statistical Mechanics and its Applications, 389, 4195–4200.
Boulet, R., Barros-Platiau, A. F., & Mazzega, P. (2016). 35 years of multilateral environmental agreements ratification: A network analysis. Artificial Intelligence and Law, 24, 133–148.
Boulet, R., Mazzega, P., & Bourcier, D. (2010). Network analysis of the French environmental code. In P. Casanovas, U. Pagallo, G. Sartor, & G. Ajani (Eds.), AI approaches to the complexity of legal systems: Complex systems, the semantic web, ontologies, argumentation, and dialogue, LNAI (Vol. 6237, pp. 39–53). Berlin: Springer.
Boulet, R., Mazzega, P., & Bourcier, D. (2011). A network approach to the French system of legal codes part I: Analysis of a dense network. Artificial Intelligence and Law, 19, 333–355.
Brown, V. A. (2007). Principles for EcoHealth action: Implications of the health synthesis paper, the millennium ecosystem assessment, and the millennium development goals. Workshop group, EcoHealth ONE, Madison, Wisconsin, October 2006. EcoHealth, 4(1), 95–98.
Durga, J., Sunitha, D., Narasimha, S. P., & Sunand, B. T. (2012). A survey on concept based mining model using various clustering techniques. International Journal of Advanced Research in Computer Science and Software Engineering, 2(4), 408–411 Avaiable at: www.ijarcsse.com.
Feldman, R., & Sanger, J. (2007). Core text mining operation. In R. Feldman & J. Sanger (Eds.), The text mining handbook: Advanced approaches in analyzing unstructured data (pp. 19–56). Cambridge: Cambridge University Press.
Fortunato, S. (2010). Community detection in graphs. Physics Reports, 486(3–5), 75–174.
Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
Grüber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies, 43(5–6), 907–928.
Guarino, N., & Musen, M. (2015). Applied ontology: The next decade begins. Applied Ontology, 10, 1–4.
Hall, D., & Coghlan, B. (2011). Asia–Europe meeting. Implementation of the one health approach in Asia & Europe: How to set-up a common basis for action and exchange of experience. Preparatory study, European Union, p. 61.
Hassanpour, S., & Das, A. K. (2011). Ontology-based text mining of concept definitions in biomedical literature. CSWS2011 proceedings, 40–45. http://ceur-ws.org/Vol-774/das.pdf. Accessed 21 Dec 2016.
Kim, R. E. (2013). The emergent network structure of the multilateral environmental agreement system. Global Environmental Change. https://doi.org/10.1016/j.gloenvcha.2013.07.006.
Kuntz, P. (1992). Représentation euclidienne d’un graphe abstrait en vue de sa segmentation. Thèse de Doctorat, spécialité Mathématiques et Applications aux Sciences de l’Homme, École des Hautes Études en Sciences Sociales, Paris.
Lajaunie, C. (2016). The evolution of the link between health and environment in international law: The example of infectious diseases in South-East Asia. Accreditation to supervise research (HDR, in French). Presented on December 13th, 2016, University of Aix-Marseille, France, p. 246.
Lajaunie, C., & Mazzega, P. (2016). One health and biodiversity conventions. The emergence of health issues in biodiversity conventions. IUCN Academy of Environmental Law eJournal, (7), 105–121 http://www.iucnael.org/en/e-journal/current-issue.
Lajaunie, C. & Mazzega, P. (2017). Transmission, circulation et persistance des enjeux de santé dans les conventions internationales liées à la Biodiversité et Conventions de Rio. Confluence des Droits n° Special « Diffusion de normes et circulations d’acteurs dans la gouvernance internationale de l’environnement », S. Maljean-Dubois (Dir.), in press.
Lajaunie, C., Morand, S., & Binot, A. (2015). The link between health and biodiversity in Southeast Asia through the example of infectious diseases. Environmental Justice, 8(1), 26–32. https://doi.org/10.1089/env.2014.0017.
Morand, S., Dujardin, J. P., Lefait-Robin, R., & Apiwathnasorn, C. (2015). Socio-ecological dimensions of infectious diseases in Southeast Asia (Vol. IX, p. 338). Singapore: Springer.
Morgera, E. (2015). Fair and equitable benefit-sharing at the cross-roads of the human right to science and international biodiversity law. Laws, 4, 803–831. https://doi.org/10.3390/laws4040803.
von Luxburg, U. (2007). A tutorial on spectral clustering. Statistics and Computing, 17, 395–416.
Walther, B. A., Boëte, C., Binot, A., By, Y., Cappelle, J., Carrique-Mas, J. J., Chou, M., Furey, N., Kim, S., Lajaunie, C., Lek, S., Méral, P., Neang, M., Tan, B. H., Walton, C., & Morand, S. (2016). Biodiversity and health: Lessons and recommendations from an interdisciplinary conference to advise southeast Asian research, society and policy. Infection, Genetics and Evolution, 40, 29–46.
WCS-Wildlife Conservation Society (2004) The Manhattan principles, 2004.
WHO - CBD (2015) Connecting global priorities: biodiversity and human health: a state of knowledge review, p. 344.
Zinsstag, J. (2012). Convergence of EcoHealth and one health. EcoHealth, 9(4), 371–373.
Zinsstag, J., Schelling, E., Wyss, K., & Mahamat, M. B. (2005). Potential of co-operation between human and animal health to strengthen health systems. Lancet, 366, 2142–2145. https://doi.org/10.1016/S0140-6736(05)67731-8.
Acknowledgments
This work is a contribution to a) Labex OT-Med (n° ANR-11-LABX-0061) and has received funding from Excellence Initiative of Aix-Marseille University—A*MIDEX, a French “Investissements d’Avenir” programme; b) the ANR Project FutureHealthSEA (n° ANR-17-CE35-0003-02) “Predictive scenarios of health in Southeast Asia: linking land use and climate changes to infectious diseases” (PIs: S. Morand and C. Lajaunie). The Ecology and Environment Institute of the National Center for Scientific Research (InEE CNRS, France) supports the International Multidisciplinary Thematic Network “Biodiversity, Health and Societies in Southeast Asia,” Thailand (PI: S. Morand, CNRS/CIRAD) to which this study contributes.
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Lajaunie, C., Mazzega, P., Boulet, R. (2018). Health in Biodiversity-Related Conventions: Analysis of a Multiplex Terminological Network (1973 –2016). In: Chen, SH. (eds) Big Data in Computational Social Science and Humanities. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-95465-3_7
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