Social Network Analysis on the Mobility of Three Vulnerable Population Subgroups: Domestic Workers, Flight Crews, and Sailors during the COVID-19 Pandemic in Hong Kong

dc.contributor.authorYu, Weijun
dc.contributor.authorAlipio, Cheryll
dc.contributor.authorWan, Jia'an
dc.contributor.authorMane, Heran
dc.contributor.authorNguyen, Quynh C.
dc.date.accessioned2023-10-24T14:44:39Z
dc.date.available2023-10-24T14:44:39Z
dc.date.issued2022-06-21
dc.description.abstractBackground: Domestic workers, flight crews, and sailors are three vulnerable population subgroups who were required to travel due to occupational demand in Hong Kong during the COVID-19 pandemic. Objective: The aim of this study was to explore the social networks among three vulnerable population subgroups and capture temporal changes in their probability of being exposed to SARS-CoV-2 via mobility. Methods: We included 652 COVID-19 cases and utilized Exponential Random Graph Models to build six social networks: one for the cross-sectional cohort, and five for the temporal wave cohorts, respectively. Vertices were the three vulnerable population subgroups. Edges were shared scenarios where vertices were exposed to SARS-CoV-2. Results: The probability of being exposed to a COVID-19 case in Hong Kong among the three vulnerable population subgroups increased from 3.38% in early 2020 to 5.78% in early 2022. While domestic workers were less mobile intercontinentally compared to flight crews and sailors, domestic workers were 1.81-times in general more likely to be exposed to SARS-CoV-2. Conclusions: Vulnerable populations with similar ages and occupations, especially younger domestic workers and flight crew members, were more likely to be exposed to SARS-CoV-2. Social network analysis can be used to provide critical information on the health risks of infectious diseases to vulnerable populations.
dc.description.urihttps://doi.org/10.3390/ijerph19137565
dc.identifierhttps://doi.org/10.13016/dspace/zljg-p9qd
dc.identifier.citationYu, W.; Alipio, C.; Wan, J.; Mane, H.; Nguyen, Q.C. Social Network Analysis on the Mobility of Three Vulnerable Population Subgroups: Domestic Workers, Flight Crews, and Sailors during the COVID-19 Pandemic in Hong Kong. Int. J. Environ. Res. Public Health 2022, 19, 7565.
dc.identifier.urihttp://hdl.handle.net/1903/31100
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtEpidemiology & Biostatistics
dc.relation.isAvailableAtSchool of Public Health
dc.relation.isAvailableAtDigital Repository at the University of Maryland (DRUM)
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)
dc.subjectsocial network analysis
dc.subjectCOVID-19
dc.subjectSARS-CoV-2
dc.subjectvulnerable population
dc.subjectdomestic worker
dc.subjectflight crew
dc.subjectsailor
dc.subjectmobility
dc.subjectexponential random graph model
dc.titleSocial Network Analysis on the Mobility of Three Vulnerable Population Subgroups: Domestic Workers, Flight Crews, and Sailors during the COVID-19 Pandemic in Hong Kong
dc.typeArticle
local.equitableAccessSubmissionNo

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ijerph-19-07565.pdf
Size:
7.3 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.55 KB
Format:
Item-specific license agreed upon to submission
Description: