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MODELING EPIDEMIC BASED ON PENNA MODEL.

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Title: MODELING EPIDEMIC BASED ON PENNA MODEL.
Authors: Mingfeng He1 mfhe@dlut.edu.cn, Qiuhui Pan2, Binglin Yu3
Source: International Journal of Modern Physics C: Computational Physics & Physical Computation. May2005, Vol. 16 Issue 5, p799-805. 7p.
Subjects: Epidemics, Lattice theory, Cellular automata, Infection, Mortality, Mathematical models
Abstract: A cellular automata model is developed aiming to study the epidemic on a lattice of two dimensions. The characteristics of individual including reproduction, death by inherited diseases and age are studied in the Penna model. The spreading of epidemic and the reproduction of individual are considered as cellular automata. We shall mainly discuss the influence on the number of epidemical patients by infection rate and death rate. The results show that the existence of epidemic mainly depends on the infection rate and the death rate but not the initial ratio of patients. There are two reasons for nonexistent epidemic. As long as the infection rate is less than 0.3, the epidemic cannot spread. On the other hand, if the infection rate and the death rate are both high, the individuals with epidemic die out and the epidemic cannot spread, either. The epidemic can exist all along when the combination of infection rate and death rate are in the mid area. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 17744770
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: MODELING EPIDEMIC BASED ON PENNA MODEL.
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  Data: <searchLink fieldCode="AR" term="%22Mingfeng+He%22">Mingfeng He</searchLink><relatesTo>1</relatesTo><i> mfhe@dlut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Qiuhui+Pan%22">Qiuhui Pan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Binglin+Yu%22">Binglin Yu</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Modern+Physics+C%3A+Computational+Physics+%26+Physical+Computation%22">International Journal of Modern Physics C: Computational Physics & Physical Computation</searchLink>. May2005, Vol. 16 Issue 5, p799-805. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Epidemics%22">Epidemics</searchLink><br /><searchLink fieldCode="DE" term="%22Lattice+theory%22">Lattice theory</searchLink><br /><searchLink fieldCode="DE" term="%22Cellular+automata%22">Cellular automata</searchLink><br /><searchLink fieldCode="DE" term="%22Infection%22">Infection</searchLink><br /><searchLink fieldCode="DE" term="%22Mortality%22">Mortality</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A cellular automata model is developed aiming to study the epidemic on a lattice of two dimensions. The characteristics of individual including reproduction, death by inherited diseases and age are studied in the Penna model. The spreading of epidemic and the reproduction of individual are considered as cellular automata. We shall mainly discuss the influence on the number of epidemical patients by infection rate and death rate. The results show that the existence of epidemic mainly depends on the infection rate and the death rate but not the initial ratio of patients. There are two reasons for nonexistent epidemic. As long as the infection rate is less than 0.3, the epidemic cannot spread. On the other hand, if the infection rate and the death rate are both high, the individuals with epidemic die out and the epidemic cannot spread, either. The epidemic can exist all along when the combination of infection rate and death rate are in the mid area. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1142/S0129183105007509
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 7
        StartPage: 799
    Subjects:
      – SubjectFull: Epidemics
        Type: general
      – SubjectFull: Lattice theory
        Type: general
      – SubjectFull: Cellular automata
        Type: general
      – SubjectFull: Infection
        Type: general
      – SubjectFull: Mortality
        Type: general
      – SubjectFull: Mathematical models
        Type: general
    Titles:
      – TitleFull: MODELING EPIDEMIC BASED ON PENNA MODEL.
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            NameFull: Mingfeng He
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            NameFull: Qiuhui Pan
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            NameFull: Binglin Yu
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            – D: 01
              M: 05
              Text: May2005
              Type: published
              Y: 2005
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              Value: 16
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              Value: 5
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            – TitleFull: International Journal of Modern Physics C: Computational Physics & Physical Computation
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