Influenza spread on context-specific networks lifted from interaction-based diary data

Studying the spread of infections is an important tool in limiting or preventing future outbreaks. A first step in understanding disease dynamics is constructing networks that reproduce features of real-world interactions. In this paper, we generate networks that maintain some features of the partia...

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Detalles Bibliográficos
Autores principales: Mallory, Kristina, Rubin Abrams, Joshua, Schwartz, Anne, Ciocanel, Maria-Veronica, Volkening, Alexandria, Sandstede, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Mathematics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890481/
https://www.ncbi.nlm.nih.gov/pubmed/33614059
http://dx.doi.org/10.1098/rsos.191876

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890481/
https://www.ncbi.nlm.nih.gov/pubmed/33614059
http://dx.doi.org/10.1098/rsos.191876

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