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

Author:

Du Hang,Yuan Zhenming,Wu Yingfei,Yu Kai,Sun Xiaoyan

Abstract

AbstractThe 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.

Funder

XPCC's Key Scientific and Technology Project

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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