Impact of presymptomatic transmission on epidemic spreading in contact networks: A dynamic message-passing analysis
Abstract
Infectious diseases that incorporate presymptomatic transmission are challenging to monitor, model, predict, and contain. We address this scenario by studying a variant of a stochastic susceptible-exposed-infected-recovered model on arbitrary network instances using an analytical framework based on the method of dynamic message passing. This framework provides a good estimate of the probabilistic evolution of the spread on both static and...
Paper Details
Title
Impact of presymptomatic transmission on epidemic spreading in contact networks: A dynamic message-passing analysis
Published Date
May 6, 2021
Journal
Volume
103
Issue
5
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History