A Spatial Network-Based Assessment of Individual Exposure to Covid-19
Bibliographic Data
| ID | 3775265 |
|---|---|
| Authors | Zihan Kan (0000-0002-6364-0537, Chinese University of Hong Kong), Mei-Po Kwan (0000-0001-8602-9258, Chinese University of Hong Kong), Jianwei Huang (0000-0002-2230-3446, Chinese University of Hong Kong), Jiannan Cai (0000-0003-4752-0153, Chinese University of Hong Kong), Dong Liu (0000-0001-9090-5732, Chinese University of Hong Kong) |
| Year | 2024 |
| Volume | 114 |
| Issue | 8 |
| Pages | 1693-1703 |
| Publication date | 2024-09-13 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annals of the American Association of Geographers (JOURNAL) |
| Journal identifiers | ISSN: 2469-4452 • E-ISSN: 2469-4460 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/24694452.2023.2266021 |
| OpenAlex | W4388501334 |
| Language | EN |
| Citations received | 2 |
| References cited | 10 |
This study seeks to examine the possible impacts of sociodemographic factors, individual mobility patterns, and daily activities on individual exposure to COVID-19 risk when assessed by different risk measures. Taking Hong Kong as the study area, we first model the risk of COVID-19 using a density-based approach and a network-based approach and reveal the differences in the spatial distributions of COVID-19 transmission risk they obtained. Then, using two-day individual Global Positioning System trajectory data and travel diaries collected from individuals in two communities, we measure individual exposure to COVID-19 transmission risk based on their mobility patterns and reveal the disparities in COVID-19 risk exposure among residents of different demographic groups and neighborhoods when conducting different activities. This study reveals the differences in the spatial patterns of COVID-19 transmission risk when the risk is conceptualized by density and network. It demonstrates the power of a spatial network approach in enhancing our understanding of individual exposure to infectious diseases. This study also advances the existing literature by exploring COVID-19 risk exposure, considering individual daily mobility and addressing the uncertain geographic context problem in analyzing individual COVID-19 risk exposure
Environmental health · Geography · Risk assessment · Spatial contextual awareness · Computer Science · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Health disparities and outcomes · Medicine
Investigating the Relationship between the Built Environment and Relative Risk of Covid-19 in Hong Kong
Rapid surveillance of Covid-19 in the United States using a prospective space-time scan statistic
How commuting affects subjective wellbeing
The superspreading places of Covid-19 and the associated built-environment and socio-demographic features
The Uncertain Geographic Context Problem
A Location-Centric Network Approach to Analyzing Epidemic Dynamics
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |