A Digital Twin Simulator Approach as a Support to Develop an Integrated Observatory of the Epidemic Risk in a Rural Community in Senegal

Jean Le Fur (), Moussa Sall and Jean-Marie Dembele ()
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Jean Le Fur: UMR CBGP - Centre de Biologie pour la Gestion des Populations - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD [Occitanie] - Institut de Recherche pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier
Moussa Sall: UGB - Université Gaston Berger de Saint-Louis Sénégal, BIOPASS, ISRA-UCAD - IRD [France-Ouest] - Institut de Recherche pour le Développement
Jean-Marie Dembele: UFR SAT - Université Gaston Berger - UFR Sciences Appliquées et de Technologies [Sénégal] - UGB - Université Gaston Berger de Saint-Louis Sénégal

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Abstract: Following the contemporary epidemiologic approach known as EcoHealth, the study of an epidemic risk must consider and integrate the whole set of actors, factors and environments bound to the transmission of infectious diseases. In this study, we propose using a mechanistically rich digital twin simulator as a tool to facilitate this integration with the addition of a functional and dynamic dimension. The selected case study is the monitoring of the risk associated with ticks and rodents in a rural community in the Sahelian region of Senegal. To construct the digital twin, we iteratively went back and forth between field data collection and computer transcription of knowledge. Thanks to the high resolution afforded by the digital twin approach, the simulator enables the study of city-scale activity patterns as well as interactions between ticks, rodents, cats, and humans that occur within habitation rooms and shops. In addition to (i) being able to provide dynamic integrated support for the collected multidisciplinary knowledge, the digital twin realism provides (ii) an appropriate medium for communicating results to non-expert populations and (iii) a useful tool for monitoring and adjusting the observatory's data collection protocols. The model's complexity presents calibration challenges that are discussed.

Keywords: Digital Twin; Epidemic Risk; Agent-Based Model; Data Driven Approach; EcoHealth Approach; Synthetic Ecology; Complex System (search for similar items in EconPapers)
Date: 2023-07-12
New Economics Papers: this item is included in nep-agr
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Published in 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2023), Jul 2023, Rome, Italy, France. pp.134-142, ⟨10.5220/0012135900003546⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04356962

DOI: 10.5220/0012135900003546

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