The interplay of social constraints and individual variation in risk tolerance in the emergence of superspreaders
Author:
Affiliation:
1. Department of Mathematics, The University of Tennessee Knoxville, Knoxville 37996-4519 TN, USA
2. Department of NIMBioS, The University of Tennessee Knoxville, Knoxville 37996-4519 TN, USA
3. University of Tennessee Knoxville, Knoxville, TN, USA
Abstract
Funder
H2020 Marie Skłodowska-Curie Actions
National Science Foundation
Publisher
The Royal Society
Subject
Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology
Link
https://royalsocietypublishing.org/doi/pdf/10.1098/rsif.2023.0077
Reference51 articles.
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3. On the identification of superspreaders for infectious disease
4. From superspreaders to disease hotspots: linking transmission across hosts and space
5. Edholm CJ Emerenini BO Murillo AL Saucedo O Shakiba N Wang X Allen LJS Peace A. 2018 Searching for superspreaders: identifying epidemic patterns associated with superspreading events in stochastic models. In Understanding complex biological systems with mathematics (eds A Radunskaya R Segal B Shtylla) pp. 1–29. Berlin Germany: Springer.
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