ArticleScientific reports2021
Identification of superspreading environment under COVID-19 through human mobility data.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Enhancing COVID-19 Screening Models With Epidemiological and Mobility Features: Machine-Learning Model Study.JMIR AI · 2026Article
- Revealing spatiotemporal variations in areas potentially linked to COVID-19 spread using fine-grained population data.Scientific reports · 2025Article
- Time-series modeling of epidemics in complex populations: Detecting changes in incidence volatility over time.PLoS computational biology · 2025Article
- Epidemiological Analysis of the COVID-19 Clusters in the Early Stages of the Epidemic in Shanghai, China: Pandemic-to-Epidemic Response Shift.Tropical medicine and infectious disease · 2025Article
- Spatiotemporal hierarchical Bayesian analysis to identify factors associated with COVID-19 in suburban areas in Colombia.Heliyon · 2024Article
- Dynamics of Microbial Community and Potential Microbial Pollutants in Shopping Malls.mSystems · 2023Article
- Optimized workplace risk mitigation measures for SARS-CoV-2 in 2022.Scientific reports · 2023Article
- Spatial risk for a superspreading environment: Insights from six urban facilities in six global cities across four continents.Frontiers in public health · 2023Article
- High-Speed railways and the spread of Covid-19.Travel behaviour & society · 2023Article
- Spatio-temporal variations of traffic congestion under work from home (WFH) arrangements: Lessons learned from COVID-19.Cities (London, England) · 2022Article
- SARS-CoV-2 Variants of Concern Increased Transmission and Decrease Vaccine Efficacy in the COVID-19 Pandemic in Palembang Indonesia.Acta bio-medica : Atenei Parmensis · 2022Article
- Exit strategies from lockdowns due to COVID-19: a scoping review.BMC public health · 2022Article
- Article
- Measuring of the COVID-19 Based on Time-Geography.International journal of environmental research and public health · 2021Article
- Optimized Post-Vaccination Strategies and Preventative Measures for SARS-CoV-2.medRxiv : the preprint server for health sciences · 2021Article
- COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong.Transport policy · 2021Article
- Disparities in the Evolution of the COVID-19 Pandemic between Spanish Provinces.International journal of environmental research and public health · 2021Article
- Big data insight on global mobility during the Covid-19 pandemic lockdown.Journal of big data · 2021Article
- Identifying mitigation strategies for COVID-19 superspreading on flights using models that account for passenger movement.Travel medicine and infectious diseaseArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 reaffirms the vital role of superspreaders in a pandemic. We propose to broaden the research on superspreaders through integrating human mobility data and geographical factors to identify superspreading environment. Six types of popular public facilities were selected: bars, shopping centres, karaoke/cinemas, mega shopping malls, public libraries, and sports centres. A historical dataset on mobility was used to calculate the generalized activity space and space-time prism of individuals during a pre-pandemic period. Analysis of geographic interconnections of public facilities yielded locations by different classes of potential spatial risk. These risk surfaces were weighed and integrated into a "risk map of superspreading environment" (SE-risk map) at the city level. Overall, the proposed method can estimate empirical hot spots of superspreading environment with statistical accuracy. The SE-risk map of Hong Kong can pre-identify areas that overlap with the actual disease clusters of bar-related transmission. Our study presents first-of-its-kind research that combines data on facility location and human mobility to identify superspreading environment. The resultant SE-risk map steers the investigation away from pure human focus to include geographic environment, thereby enabling more differentiated non-pharmaceutical interventions and exit strategies to target some places more than others when complete city lockdown is not practicable.
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