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A high-frequency mobility big-data reveals how COVID-19 spread across professions, locations and age groups
Chen ZHAO
, Jialu ZHANG
, Xiaoyue HOU
,
Chi Ho YEUNG
, An ZENG
Department of Science and Environmental Studies (SES)
Research output
:
Contribution to journal
›
Articles
›
peer-review
3
Citations (Scopus)
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Dive into the research topics of 'A high-frequency mobility big-data reveals how COVID-19 spread across professions, locations and age groups'. Together they form a unique fingerprint.
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Keyphrases
Age Groups
100%
COVID-19
100%
COVID-19 Spread
100%
Mobility Big Data
100%
Intervention Measures
66%
Transmission Dynamics
66%
Catering
33%
Big Data
33%
China
33%
Copyright
33%
Retirees
33%
Retail
33%
Chinese Cities
33%
Non-pharmaceutical Interventions
33%
Transmission Rate
33%
Population Increase
33%
Hotel Staff
33%
Mobility Tracks
33%
Periodic Pattern
33%
Silent Transmission
33%
Individual Mobility
33%
Agent-based Simulation
33%
Vaccinated Population
33%
Infected Population
33%
Computer Science
Big Data
100%
Transmission Dynamic
100%
Transmission Rate
50%
Realism
50%