Computational protocol to perform a spatiotemporal reconstruction of an epidemic

Here, we present a computational protocol to perform a spatiotemporal reconstruction of an epidemic. We describe steps for using epidemiological data to depict how the epidemic changes over time and for employing clustering analysis to group geographical units that exhibit similar temporal epidemic...

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Detalles Bibliográficos
Autores principales: Nodari, Riccardo, Perini, Matteo, Fois, Luca, Sterzi, Lodovico, Luconi, Ester, Vaglienti, Folco, Bandi, Claudio, Biganzoli, Elia, Galli, Massimo, Comandatore, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514217/
https://www.ncbi.nlm.nih.gov/pubmed/37717214
http://dx.doi.org/10.1016/j.xpro.2023.102548
Descripción
Sumario:Here, we present a computational protocol to perform a spatiotemporal reconstruction of an epidemic. We describe steps for using epidemiological data to depict how the epidemic changes over time and for employing clustering analysis to group geographical units that exhibit similar temporal epidemic progression. We then detail procedures for analyzing the temporal and spatial dynamics of the epidemic within each cluster. This protocol has been developed to be used on historical data but could also be applied to modern epidemiological data. For complete details on the use and execution of this protocol, please refer to Galli et al. (2023).(1)

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