Estimating the epidemic risk using non-uniformly sampled contact data

Many datasets describing contacts in a population suffer from incompleteness due to population sampling and underreporting of contacts. Data-driven simulations of spreading processes using such incomplete data lead to an underestimation of the epidemic risk, and it is therefore important to devise m...

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Detalles Bibliográficos
Autores principales: Fournet, Julie, Barrat, Alain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577035/
https://www.ncbi.nlm.nih.gov/pubmed/28855718
http://dx.doi.org/10.1038/s41598-017-10340-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577035/
https://www.ncbi.nlm.nih.gov/pubmed/28855718
http://dx.doi.org/10.1038/s41598-017-10340-y

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