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Compensating for population sampling in simulations of epidemic spread on temporal contact networks

Data describing human interactions often suffer from incomplete sampling of the underlying population. As a consequence, the study of contagion processes using data-driven models can lead to a severe underestimation of the epidemic risk. Here we present a systematic method to alleviate this issue an...

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Bibliografske podrobnosti
izdano v:Nat Commun
Main Authors: Génois, Mathieu, Vestergaard, Christian L., Cattuto, Ciro, Barrat, Alain
Format: Artigo
Jezik:Inglês
Izdano: Nature Pub. Group 2015
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4660211/
https://ncbi.nlm.nih.gov/pubmed/26563418
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms9860
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