Percolation of temporal hierarchical mobility networks during COVID-19.
Philos Trans A Math Phys Eng Sci
; 380(2214): 20210116, 2022 Jan 10.
Article
in English
| MEDLINE | ID: covidwho-2262510
ABSTRACT
Percolation theory is essential for understanding disease transmission patterns on the temporal mobility networks. However, the traditional approach of the percolation process can be inefficient when analysing a large-scale, dynamic network for an extended period. Not only is it time-consuming but it is also hard to identify the connected components. Recent studies demonstrate that spatial containers restrict mobility behaviour, described by a hierarchical topology of mobility networks. Here, we leverage crowd-sourced, large-scale human mobility data to construct temporal hierarchical networks composed of over 175 000 block groups in the USA. Each daily network contains mobility between block groups within a Metropolitan Statistical Area (MSA), and long-distance travels across the MSAs. We examine percolation on both levels and demonstrate the changes of network metrics and the connected components under the influence of COVID-19. The research reveals the presence of functional subunits even with high thresholds of mobility. Finally, we locate a set of recurrent critical links that divide components resulting in the separation of core MSAs. Our findings provide novel insights into understanding the dynamical community structure of mobility networks during disruptions and could contribute to more effective infectious disease control at multiple scales. This article is part of the theme issue 'Data science approaches to infectious disease surveillance'.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Experimental Studies
/
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
Philos Trans A Math Phys Eng Sci
Journal subject:
Biophysics
/
Biomedical Engineering
Year:
2022
Document Type:
Article
Affiliation country:
Rsta.2021.0116
Similar
MEDLINE
...
LILACS
LIS