Preliminary analysis of an agent-based model for a tick-borne disease

Ticks have a unique life history including a distinct set of life stages and asingle blood meal per life stage. This makes tick-host interactions more complexfrom a mathematical perspective. In addition, any model of these interactionsmust involve a significant degree of stochasticity on the individ...

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Main Author: Holly Gaff
Format: Article
Language:English
Published: AIMS Press 2011-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.463
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author Holly Gaff
author_facet Holly Gaff
author_sort Holly Gaff
collection DOAJ
description Ticks have a unique life history including a distinct set of life stages and asingle blood meal per life stage. This makes tick-host interactions more complexfrom a mathematical perspective. In addition, any model of these interactionsmust involve a significant degree of stochasticity on the individual tick level.In an attempt to quantify these relationships, I have developed an individual-basedmodel of the interactions between ticks and their hosts as well as the transmissionof tick-borne disease between the two populations. The results from this model arecompared with those from previously published differential equation based populationmodels. The findings show that the agent-based model produces significantly lower prevalenceof disease in both the ticks and their hosts than what is predicted by a similardifferential equation model.
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institution Kabale University
issn 1551-0018
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series Mathematical Biosciences and Engineering
spelling doaj-art-d91f1e7cff0745f5aff70b98477531552025-01-24T02:01:39ZengAIMS PressMathematical Biosciences and Engineering1551-00182011-03-018246347310.3934/mbe.2011.8.463Preliminary analysis of an agent-based model for a tick-borne diseaseHolly Gaff0Department of Biological Sciences, Old Dominion University, Norfolk, VA 23529Ticks have a unique life history including a distinct set of life stages and asingle blood meal per life stage. This makes tick-host interactions more complexfrom a mathematical perspective. In addition, any model of these interactionsmust involve a significant degree of stochasticity on the individual tick level.In an attempt to quantify these relationships, I have developed an individual-basedmodel of the interactions between ticks and their hosts as well as the transmissionof tick-borne disease between the two populations. The results from this model arecompared with those from previously published differential equation based populationmodels. The findings show that the agent-based model produces significantly lower prevalenceof disease in both the ticks and their hosts than what is predicted by a similardifferential equation model.https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.463agent-based modeltick-borne disease.
spellingShingle Holly Gaff
Preliminary analysis of an agent-based model for a tick-borne disease
Mathematical Biosciences and Engineering
agent-based model
tick-borne disease.
title Preliminary analysis of an agent-based model for a tick-borne disease
title_full Preliminary analysis of an agent-based model for a tick-borne disease
title_fullStr Preliminary analysis of an agent-based model for a tick-borne disease
title_full_unstemmed Preliminary analysis of an agent-based model for a tick-borne disease
title_short Preliminary analysis of an agent-based model for a tick-borne disease
title_sort preliminary analysis of an agent based model for a tick borne disease
topic agent-based model
tick-borne disease.
url https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.463
work_keys_str_mv AT hollygaff preliminaryanalysisofanagentbasedmodelforatickbornedisease