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Anylogic-based model prediction analysis of the impact of social distance obedience behavior on the spread of epidemics

Published: 22 December 2021 Publication History

Abstract

The outbreak of COVID-19 in 2020 has had a serious impact on society and drawn the attention of all sectors of society to major emergency public security incidents. So this study focused on the social distance which is one of the most effective methods to reduce the transmission rate of the epidemic to conduct research. In order to visually describe the effect of social distance obedience behavior, we use Anylogic to simulate the subway station with high pedestrian traffic in daily life and visualize the process and rate of transmission. Social distance was introduced as a primary variable, mask-wearing rate as a secondary variable, and the simulation set the movement trajectory of pedestrians and used the "controlled variable method" to analyze their effects on infection. The results show that both maintaining a social distance of more than 1.25 meters and wearing a mask rate of more than 70% can effectively inhibit the spread of the epidemic, and the combined effect of both is more effective in infection control.

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  • (2024)Research on Public Space Area Indicators of Physical Examination CentersBuildings10.3390/buildings1407219214:7(2192)Online publication date: 16-Jul-2024

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  1. Anylogic-based model prediction analysis of the impact of social distance obedience behavior on the spread of epidemics

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        cover image ACM Other conferences
        ISAIMS '21: Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences
        October 2021
        593 pages
        ISBN:9781450395588
        DOI:10.1145/3500931
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 22 December 2021

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        Author Tags

        1. Anylogic
        2. dynamic simulation
        3. pedestrian flow model
        4. social distance obedience behavior

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        • (2024)Research on Public Space Area Indicators of Physical Examination CentersBuildings10.3390/buildings1407219214:7(2192)Online publication date: 16-Jul-2024

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