Associations between mobility patterns and COVID-19 deaths during the pandemic: A network structure and rank propagation modelling approach.

Autor:	Irini F; Transgero Limited, Newcastle West, Limerick, Ireland.; Kemmy Business School, University of Limerick, Ireland., Kia AN; Kemmy Business School, University of Limerick, Ireland., Shannon D; Kemmy Business School, University of Limerick, Ireland., Jannusch T; Kemmy Business School, University of Limerick, Ireland.; Institut for Insurance Studies, TH, Köln, Germany., Murphy F; Kemmy Business School, University of Limerick, Ireland.; Transgero Limited, Newcastle West, Limerick, Ireland., Sheehan B; Kemmy Business School, University of Limerick, Ireland.
Jazyk:	angličtina
Zdroj:	Array (New York, N.Y.) [Array (N Y)] 2021 Sep; Vol. 11, pp. 100075. Date of Electronic Publication: 2021 Jul 07.
DOI:	10.1016/j.array.2021.100075
Abstrakt:	Background: From February 2020, both urban and rural Ireland witnessed the rapid proliferation of the COVID-19 disease throughout its counties. During this period, the national COVID-19 responses included stay-at-home directives issued by the state, subject to varying levels of enforcement. Methods: In this paper, we present a new method to assess and rank the causes of Ireland COVID-19 deaths as it relates to mobility activities within each county provided by Google while taking into consideration the epidemiological confirmed positive cases reported per county. We used a network structure and rank propagation modelling approach using Personalised PageRank to reveal the importance of each mobility category linked to cases and deaths. Then a novel feature-selection method using relative prominent factors finds important features related to each county's death. Finally, we clustered the counties based on features selected with the network results using a customised network clustering algorithm for the research problem. Findings: Our analysis reveals that the most important mobility trend categories that exhibit the strongest association to COVID-19 cases and deaths include retail and recreation and workplaces . This is the first time a network structure and rank propagation modelling approach has been used to link COVID-19 data to mobility patterns. The infection determinants landscape illustrated by the network results aligns soundly with county socio-economic and demographic features. The novel feature selection and clustering method presented clusters useful to policymakers, managers of the health sector, politicians and even sociologists. Finally, each county has a different impact on the national total. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2021 The Authors.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu