Models and algorithms for social distancing in order to stop the spread of COVID-19

Popa Alexandru: Models and algorithms for social distancing in order to stop the spread of COVID-19. In: Acta cybernetica, (25) 3. pp. 733-749. (2022)

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Abstract

Currently there are many attempts around the world to use computers, smartphones, tablets and other electronic devices in order to stop the spread of COVID-19. Most of these attempts focus on collecting information about infected people, in order to help healthy people avoid contact with them. However, social distancing decisions are still taken by the governments empirically. That is, the authorities do not have an automated tool to recommend which decisions to make in order to maximize social distancing and to minimize the impact for the economy. In this paper we address the aforementioned problem and we design an algorithm that provides social distancing methods (i.e., what schools, shops, factories, etc. to close) that are efficient (i.e., that help reduce the spread of the virus) and have low impact on the economy. On short: a) we propose several models (i.e., combinatorial optimization problems); b) we show some theoretical results regarding the computational complexity of the formulated problems; c) we give an algorithm for the most complex of the previously formulated problems; d) we implement and test our algorithm.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 2022
Volume: 25
Number: 3
ISSN: 0324-721X
Page Range: pp. 733-749
Language: English
Publisher: University of Szeged, Institute of Informatics
Place of Publication: Szeged
Event Title: Conference of PhD Students in Computer Science (12.) (2020) (Szeged)
Related URLs: http://acta.bibl.u-szeged.hu/75566/
DOI: 10.14232/actacyb.292146
Uncontrolled Keywords: Világjárvány, Algoritmus, Programozás
Additional Information: Bibliogr.: p. 746-749. ; ill. ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.02. Computer and information sciences
Date Deposited: 2022. May. 13. 10:27
Last Modified: 2022. May. 13. 10:27
URI: http://acta.bibl.u-szeged.hu/id/eprint/75632

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