An LBS and agent-based simulator for Covid-19 research

The mobility data of citizens provide important information on the epidemic spread including Covid-19. However, the privacy versus security dilemma hinders the utilization of such data. This paper proposed a method to generate pseudo mobility data on a per-agent basis, utilizing the actual geographi...

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Bibliographic Details
Published inScientific reports Vol. 12; no. 1; p. 21254
Main Authors Du, Hang, Yuan, Zhenming, Wu, Yingfei, Yu, Kai, Sun, Xiaoyan
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 08.12.2022
Nature Publishing Group
Nature Portfolio
Subjects
639/166
692/700/478/174
704/844/1759
Coronaviruses
COVID-19
COVID-19 - epidemiology
COVID-19 vaccines
Demography
Disease transmission
Gender
Humanities and Social Sciences
Humans
Immunization
Medical research
Methods
Mobility
multidisciplinary
Population
Privacy
Schedules
Science
Science (multidisciplinary)
Simulation
Travel
Vaccination
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Summary:The mobility data of citizens provide important information on the epidemic spread including Covid-19. However, the privacy versus security dilemma hinders the utilization of such data. This paper proposed a method to generate pseudo mobility data on a per-agent basis, utilizing the actual geographical environment data provided by LBS to generate the agent-specific mobility trajectories and export them as GPS-like data. Demographic characteristics such as behavior patterns, gender, age, vaccination, and mask-wearing status are also assigned to the agents. A web-based data generator was implemented, enabling users to make detailed settings to meet different research needs. The simulated data indicated the usability of the proposed methods.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-25175-5