ArticleArray (New York, N.Y.)2021
Associations between mobility patterns and COVID-19 deaths during the pandemic: A network structure and rank propagation modelling approach.
Article in Array (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A mixture of mobility and meteorological data provides a high correlation with COVID-19 growth in an infection-naive population: a study for Spanish provinces.Frontiers in public health · 2024Article
- The role of the socio-economic context in the spread of the first wave of COVID-19 in the Marche Region (central Italy).International journal of disaster risk reduction : IJDRR · 2022Article
- Investigating the transmission risk of infectious disease outbreaks through the Aotearoa Co-incidence Network (ACN): a population-based study.The Lancet regional health. Western Pacific · 2022Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFrom 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.
methodsIn 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.
findingsOur analysis reveals that the most important mobility trend categories that exhibit the strongest association to COVID-19 cases and deaths include
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