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conference paper
An entropy reduction approach to continual testing
January 1, 2021
2021 Ieee International Symposium On Information Theory (Isit)
SIR (Susceptible, Infected or Recovered) stochastic network models are commonly used to describe the progression of epidemics inside a network. A task of interest in epidemiology is to use these models to estimate the state evolution, both at an individual as well as a population level. In this paper, we propose using continual testing to improve the state estimation at the individual level. Our testing is inspired from entropy reduction principles and requires only a small number of tests.
Type
conference paper
Web of Science ID
WOS:000701502200104
Authors
Publication date
2021-01-01
Publisher
Publisher place
New York
Published in
2021 Ieee International Symposium On Information Theory (Isit)
ISBN of the book
978-1-5386-8209-8
Series title/Series vol.
IEEE International Symposium on Information Theory
Start page
611
End page
616
Peer reviewed
REVIEWED
Written at
EPFL
EPFL units
Event name | Event place | Event date |
ELECTR NETWORK | Jul 12-20, 2021 | |
Available on Infoscience
November 6, 2021
Use this identifier to reference this record