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

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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Bibliographic Details
Main Authors: Kristina Mallory, Joshua Rubin Abrams, Anne Schwartz, Maria-Veronica Ciocanel, Alexandria Volkening, Björn Sandstede
Format: Article
Language:English
Published: The Royal Society 2021-01-01
Series:Royal Society Open Science
Subjects:
dynamic network
disease spread
susceptible–infected–recovered model
influenza
social distance
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.191876

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