Pandemic lockdown, isolation, and exit policies based on machine learning predictions-Reference-Cited by-同舟云学术

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Pandemic lockdown, isolation, and exit policies based on machine learning predictions

Published:2022-05-11 Issue: Volume: Page:
ISSN:1059-1478
Container-title:Production and Operations Management
language:en
Short-container-title:Production & Oper Manag

Author:

Evgeniou Theodoros¹,Fekom Mathilde²^ORCID,Ovchinnikov Anton¹³^ORCID,Porcher Raphaël⁴^ORCID,Pouchol Camille⁵,Vayatis Nicolas²^ORCID

Affiliation:

1. INSEAD Bd de Constance Fontainebleau France

2. Centre Borelli Université Paris‐Saclay Gif‐sur‐Yvette France

3. Smith School of Business Queen's University Kingston Ontario Canada

4. Centre de Recherche Épidémiologie et Statistiques CRESS‐UMR1153, Inserm Université Paris Cité Paris France

5. FP2M, CNRS FR 2036, MAP5 UMR 8145 Université Paris Cité Paris France

Publisher

Wiley

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Science and Operations Research

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/poms.13726

Reference29 articles.

1. Optimal Targeted Lockdowns in a Multigroup SIR Model

2. ICU capacity management during the Covid‐19 pandemic using a stochastic process simulation;Alban A.;Intensive Care Med.,2020

3. Bertsimas D.(2020).Mortality risk calculatory.https://www.covidanalytics.io/calculator

4. Birge J. R. Candogan O. &Feng Y.(2020).Controlling epidemic spread: Reducing economic losses with targeted closures. Working Paper 2020‐57 University of Chicago Becker Friedman Institute for Economics.

5. SEAIR framework accounting for a personalized risk prediction score: Application to the Covid‐19 epidemic;Boulant O.;Image Processing On Line,2020

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