Le Fur Jean, Sall M., Dembele J.M. (2023). A digital twin simulator approach as a support to develop an integrated observatory of the epidemic risk in a rural community in Senegal. In :
Wagner G. (ed.), Werner F. (ed.), De Rango F. (ed.). Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. Setubal : SCITEPRESS, 134-142. SIMULTECH : International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 13., Rome (ITA), 2023/06/12-14. ISBN 978-989-758-668-2.
Titre du document
A digital twin simulator approach as a support to develop an integrated observatory of the epidemic risk in a rural community in Senegal
Année de publication
2023
Type de document
Partie d'ouvrage
Auteurs
Le Fur Jean, Sall M., Dembele J.M.
In
Wagner G. (ed.), Werner F. (ed.), De Rango F. (ed.), Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Source
Setubal : SCITEPRESS, 2023,
134-142 ISBN 978-989-758-668-2
Colloque
SIMULTECH : International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 13., Rome (ITA), 2023/06/12-14
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.
Plan de classement
Statistique [020STAT]
;
Epidémiologie générale [050EPID]
Localisation
Fonds IRD [F B010094648]
Identifiant IRD
fdi:010094648
