Cargando…
Multi-agents Simulation on Unconventional Emergencies Evolution Mechanism in Public Health
Based on the cellular automaton principle and multi-agents theory of complex systems, this essay studied the public health unconventional emergencies generation and evolution mechanism, established evolution model and carried out simulation of the public health unconventional emergencies evolution m...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123694/ http://dx.doi.org/10.1007/978-3-642-25986-9_80 |
_version_ | 1783515693220626432 |
---|---|
author | Yang, Qing Yang, Fan |
author_facet | Yang, Qing Yang, Fan |
author_sort | Yang, Qing |
collection | PubMed |
description | Based on the cellular automaton principle and multi-agents theory of complex systems, this essay studied the public health unconventional emergencies generation and evolution mechanism, established evolution model and carried out simulation of the public health unconventional emergencies evolution mechanism, and finally took SARS emergency for an example. Research results showed that the evolution of the public health emergency often promots other linkage emergencies, the damage of linkage system is larger than that of promotion system, and the damage is uncontrolled except for controlling the promotion system effectively, just like isolation measures or inject vaccine for individual of the promotion system so as to prevent promotion system from producing linkage hazards. |
format | Online Article Text |
id | pubmed-7123694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71236942020-04-06 Multi-agents Simulation on Unconventional Emergencies Evolution Mechanism in Public Health Yang, Qing Yang, Fan Advances in Multimedia, Software Engineering and Computing Vol.2 Article Based on the cellular automaton principle and multi-agents theory of complex systems, this essay studied the public health unconventional emergencies generation and evolution mechanism, established evolution model and carried out simulation of the public health unconventional emergencies evolution mechanism, and finally took SARS emergency for an example. Research results showed that the evolution of the public health emergency often promots other linkage emergencies, the damage of linkage system is larger than that of promotion system, and the damage is uncontrolled except for controlling the promotion system effectively, just like isolation measures or inject vaccine for individual of the promotion system so as to prevent promotion system from producing linkage hazards. 2012 /pmc/articles/PMC7123694/ http://dx.doi.org/10.1007/978-3-642-25986-9_80 Text en © Springer-Verlag Berlin Heidelberg 2011 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Yang, Qing Yang, Fan Multi-agents Simulation on Unconventional Emergencies Evolution Mechanism in Public Health |
title | Multi-agents Simulation on Unconventional Emergencies Evolution Mechanism in Public Health |
title_full | Multi-agents Simulation on Unconventional Emergencies Evolution Mechanism in Public Health |
title_fullStr | Multi-agents Simulation on Unconventional Emergencies Evolution Mechanism in Public Health |
title_full_unstemmed | Multi-agents Simulation on Unconventional Emergencies Evolution Mechanism in Public Health |
title_short | Multi-agents Simulation on Unconventional Emergencies Evolution Mechanism in Public Health |
title_sort | multi-agents simulation on unconventional emergencies evolution mechanism in public health |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123694/ http://dx.doi.org/10.1007/978-3-642-25986-9_80 |
work_keys_str_mv | AT yangqing multiagentssimulationonunconventionalemergenciesevolutionmechanisminpublichealth AT yangfan multiagentssimulationonunconventionalemergenciesevolutionmechanisminpublichealth |