Abstract
In this paper, we propose a conceptualization of knowledge of infectious disease simulation models. This model is intended to annotate a set of qualitative and quantitative simulation models to automate their composition in a process of simulation of the spread of infectious diseases. We propose a use case illustrating the use of the ontological model for the annotation of two schistosomiasis simulation models.
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Acknowledgements
This work is supported by the African Center of Excellence in Mathematics Computer Science and ICT (CEA-MITIC) through a postdoctoral contract within the VEMIS project (Infectious Disease Epidemiological Monitoring in Senegal).
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Cisse, P.A., Camara, G., Dembele, J.M., Lo, M. (2019). An Ontological Model for the Annotation of Infectious Disease Simulation Models. In: Bassioni, G., Kebe, C., Gueye, A., Ndiaye, A. (eds) Innovations and Interdisciplinary Solutions for Underserved Areas. InterSol 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-030-34863-2_8
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