@incollection{fdi:010094648,
  title = {{A} digital twin simulator approach as a support to develop an integrated observatory of the epidemic risk in a rural community in {S}enegal},
  author = {{L}e {F}ur, {J}ean and {S}all, {M}. and {D}embele, {J}.{M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{F}ollowing the contemporary epidemiologic approach known as {E}co{H}ealth, 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. {I}n 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. {T}he selected case study is



the monitoring of the risk associated with ticks and rodents in a rural community in the {S}ahelian region of



{S}enegal. {T}o construct the digital twin, we iteratively went back and forth between field data collection and



computer transcription of knowledge. {T}hanks 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. {I}n 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. {T}he model's complexity presents



calibration challenges that are discussed.},
  keywords = {{SENEGAL}},
  booktitle = {{P}roceedings of the 13th {I}nternational {C}onference on {S}imulation and {M}odeling {M}ethodologies, {T}echnologies and {A}pplications},
  numero = {},
  pages = {134--142},
  address = {{S}etubal},
  publisher = {{SCITEPRESS}},
  series = {},
  year = {2023},
  DOI = {10.5220/0000167700003546},
  ISBN = {978-989-758-668-2},
  URL = {https://www.documentation.ird.fr/hor/fdi:010094648},
}