The University of Southampton
University of Southampton Institutional Repository

EpiCURB: Learning to Derive Epidemic Control Policies

EpiCURB: Learning to Derive Epidemic Control Policies
EpiCURB: Learning to Derive Epidemic Control Policies
targeted testing, contact tracing, vaccination, reinforcement learning
1536-1268
Rusu, Andrei C.
901b9bc5-f776-4046-b694-e302c40c31b3
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Rusu, Andrei C.
901b9bc5-f776-4046-b694-e302c40c31b3
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f

Rusu, Andrei C., Farrahi, Katayoun and Niranjan, Mahesan (2023) EpiCURB: Learning to Derive Epidemic Control Policies. IEEE Pervasive Computing. (doi:10.1109/MPRV.2023.3329546). (In Press)

Record type: Special issue
Text
EpiCURB_Accepted_IEEEPervasiveComputing - Accepted Manuscript
Download (383kB)

More information

Accepted/In Press date: 20 November 2023
Keywords: targeted testing, contact tracing, vaccination, reinforcement learning

Identifiers

Local EPrints ID: 484685
URI: http://eprints.soton.ac.uk/id/eprint/484685
ISSN: 1536-1268
PURE UUID: dc854c4f-7a62-489a-aaa9-cdb26d003655
ORCID for Andrei C. Rusu: ORCID iD orcid.org/0000-0002-6053-1685
ORCID for Katayoun Farrahi: ORCID iD orcid.org/0000-0001-6775-127X
ORCID for Mahesan Niranjan: ORCID iD orcid.org/0000-0001-7021-140X

Catalogue record

Date deposited: 20 Nov 2023 17:42
Last modified: 18 Mar 2024 03:54

Export record

Altmetrics

Contributors

Author: Andrei C. Rusu ORCID iD
Author: Katayoun Farrahi ORCID iD
Author: Mahesan Niranjan ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×