An agent-based model for the transmission dynamics of Toxoplasma gondii

Saved in:
Bibliographic Details
Title: An agent-based model for the transmission dynamics of Toxoplasma gondii
Authors: Jiang, Wen1,2, Sullivan, Adam M.1, Su, Chunlei3, Zhao, Xiaopeng1 xzhao9@utk.edu
Source: Journal of Theoretical Biology. Jan2012, Vol. 293, p15-26. 12p.
Subjects: Toxoplasma gondii, Pathogenic protozoa, Multiagent systems, Encephalitis, Parasite life cycles, Oocysts, Vertical transmission (Communicable diseases), Preventive medicine, Simulation methods & models, Microbial virulence, Laboratory mice
Abstract: Abstract: Toxoplasma gondii (T. gondii) is a unicellular protozoan that infects up to one-third of the world''s human population. Numerous studies revealed that a latent infection of T. gondii can cause life-threatening encephalitis in immunocompromised people and also has significant effects on the behavior of healthy people and animals. However, the overall transmission of T. gondii has not been well understood although many factors affecting this process have been found out by different biologists separately. Here we synthesize what is currently known about the natural history of T. gondii by developing a prototype agent-based model to mimic the transmission process of T. gondii in a farm system. The present model takes into account the complete life cycle of T. gondii, which includes the transitions of the parasite from cats to environment through feces, from contaminated environment to mice through oocysts, from mice to cats through tissue cysts, from environment to cats through oocysts as well as the vertical transmission among mice. Although the current model does not explicitly include humans and other end-receivers, the effect of the transition to end-receivers is estimated by a developed infection risk index. The current model can also be extended to include human activities and thus be used to investigate the influences of human management on disease control. Simulation results reveal that most cats are infected through preying on infected mice while mice are infected through vertical transmission more often than through infection with oocysts, which clearly suggests the important role of mice during the transmission of T. gondii. Furthermore, our simulation results show that decreasing the number of mice on a farm can lead to the eradication of the disease and thus can lower the infection risk of other intermediate hosts on the farm. In addition, with the assumption that the relation between virulence and transmission satisfies a normal function, we show that intermediate virulent lineages (type II) can sustain the disease most efficiently, which can qualitatively agree with the fact that the evolution of the parasite favors intermediate virulence. The effects of other related factors on transmission, including the latent period and imprudent behavior of mice, and prevention strategies are also studied based on the present model. [Copyright &y& Elsevier]
Copyright of Journal of Theoretical Biology is the property of Academic Press Inc. 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.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 69845909
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An agent-based model for the transmission dynamics of Toxoplasma gondii
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Jiang%2C+Wen%22">Jiang, Wen</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Sullivan%2C+Adam+M%2E%22">Sullivan, Adam M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Su%2C+Chunlei%22">Su, Chunlei</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Xiaopeng%22">Zhao, Xiaopeng</searchLink><relatesTo>1</relatesTo><i> xzhao9@utk.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Theoretical+Biology%22">Journal of Theoretical Biology</searchLink>. Jan2012, Vol. 293, p15-26. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Toxoplasma+gondii%22">Toxoplasma gondii</searchLink><br /><searchLink fieldCode="DE" term="%22Pathogenic+protozoa%22">Pathogenic protozoa</searchLink><br /><searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink><br /><searchLink fieldCode="DE" term="%22Encephalitis%22">Encephalitis</searchLink><br /><searchLink fieldCode="DE" term="%22Parasite+life+cycles%22">Parasite life cycles</searchLink><br /><searchLink fieldCode="DE" term="%22Oocysts%22">Oocysts</searchLink><br /><searchLink fieldCode="DE" term="%22Vertical+transmission+%28Communicable+diseases%29%22">Vertical transmission (Communicable diseases)</searchLink><br /><searchLink fieldCode="DE" term="%22Preventive+medicine%22">Preventive medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Microbial+virulence%22">Microbial virulence</searchLink><br /><searchLink fieldCode="DE" term="%22Laboratory+mice%22">Laboratory mice</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract: Toxoplasma gondii (T. gondii) is a unicellular protozoan that infects up to one-third of the world''s human population. Numerous studies revealed that a latent infection of T. gondii can cause life-threatening encephalitis in immunocompromised people and also has significant effects on the behavior of healthy people and animals. However, the overall transmission of T. gondii has not been well understood although many factors affecting this process have been found out by different biologists separately. Here we synthesize what is currently known about the natural history of T. gondii by developing a prototype agent-based model to mimic the transmission process of T. gondii in a farm system. The present model takes into account the complete life cycle of T. gondii, which includes the transitions of the parasite from cats to environment through feces, from contaminated environment to mice through oocysts, from mice to cats through tissue cysts, from environment to cats through oocysts as well as the vertical transmission among mice. Although the current model does not explicitly include humans and other end-receivers, the effect of the transition to end-receivers is estimated by a developed infection risk index. The current model can also be extended to include human activities and thus be used to investigate the influences of human management on disease control. Simulation results reveal that most cats are infected through preying on infected mice while mice are infected through vertical transmission more often than through infection with oocysts, which clearly suggests the important role of mice during the transmission of T. gondii. Furthermore, our simulation results show that decreasing the number of mice on a farm can lead to the eradication of the disease and thus can lower the infection risk of other intermediate hosts on the farm. In addition, with the assumption that the relation between virulence and transmission satisfies a normal function, we show that intermediate virulent lineages (type II) can sustain the disease most efficiently, which can qualitatively agree with the fact that the evolution of the parasite favors intermediate virulence. The effects of other related factors on transmission, including the latent period and imprudent behavior of mice, and prevention strategies are also studied based on the present model. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Theoretical Biology is the property of Academic Press Inc. 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=69845909
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jtbi.2011.10.006
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 15
    Subjects:
      – SubjectFull: Toxoplasma gondii
        Type: general
      – SubjectFull: Pathogenic protozoa
        Type: general
      – SubjectFull: Multiagent systems
        Type: general
      – SubjectFull: Encephalitis
        Type: general
      – SubjectFull: Parasite life cycles
        Type: general
      – SubjectFull: Oocysts
        Type: general
      – SubjectFull: Vertical transmission (Communicable diseases)
        Type: general
      – SubjectFull: Preventive medicine
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Microbial virulence
        Type: general
      – SubjectFull: Laboratory mice
        Type: general
    Titles:
      – TitleFull: An agent-based model for the transmission dynamics of Toxoplasma gondii
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jiang, Wen
      – PersonEntity:
          Name:
            NameFull: Sullivan, Adam M.
      – PersonEntity:
          Name:
            NameFull: Su, Chunlei
      – PersonEntity:
          Name:
            NameFull: Zhao, Xiaopeng
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 21
              M: 01
              Text: Jan2012
              Type: published
              Y: 2012
          Identifiers:
            – Type: issn-print
              Value: 00225193
          Numbering:
            – Type: volume
              Value: 293
          Titles:
            – TitleFull: Journal of Theoretical Biology
              Type: main
ResultId 1