Avian influenza epidemic recurrence and approximate stochastic models ...

This thesis is mainly concerned with avian flu epidemic recurrence, its current paradigm, and further mathematical research. Generally, this thesis aims to characterise the recurrent pattern of epidemics simulated by stochastic avian flu models using mathematical techniques. Of particular interest h...

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Main Author: Mata, May Anne Estrera
Format: Text
Language:English
Published: University of British Columbia 2017
Subjects:
Online Access:https://dx.doi.org/10.14288/1.0347223
https://doi.library.ubc.ca/10.14288/1.0347223
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spelling ftdatacite:10.14288/1.0347223 2024-04-28T08:13:53+00:00 Avian influenza epidemic recurrence and approximate stochastic models ... Mata, May Anne Estrera 2017 https://dx.doi.org/10.14288/1.0347223 https://doi.library.ubc.ca/10.14288/1.0347223 en eng University of British Columbia article-journal Text ScholarlyArticle 2017 ftdatacite https://doi.org/10.14288/1.0347223 2024-04-02T09:29:06Z This thesis is mainly concerned with avian flu epidemic recurrence, its current paradigm, and further mathematical research. Generally, this thesis aims to characterise the recurrent pattern of epidemics simulated by stochastic avian flu models using mathematical techniques. Of particular interest here are the stochastic fluctuations observed in recurrent epidemics. This thesis has two main parts. The first part presents a thorough analysis of a simple stochastic avian flu model to provide insight into the role of different transmission routes in its recurrent dynamics. Recent modelling work on avian influenza in wild bird population takes into account demographic stochasticity and highlights the importance of environmental transmission in determining the outbreak periodicity, but only for a weak between-host transmission rates. A new analytic approach is used here to determine the relative contribution of environmental and direct transmission routes to the features of recurrent epidemics. Using an ... Text Avian flu DataCite Metadata Store (German National Library of Science and Technology)
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description This thesis is mainly concerned with avian flu epidemic recurrence, its current paradigm, and further mathematical research. Generally, this thesis aims to characterise the recurrent pattern of epidemics simulated by stochastic avian flu models using mathematical techniques. Of particular interest here are the stochastic fluctuations observed in recurrent epidemics. This thesis has two main parts. The first part presents a thorough analysis of a simple stochastic avian flu model to provide insight into the role of different transmission routes in its recurrent dynamics. Recent modelling work on avian influenza in wild bird population takes into account demographic stochasticity and highlights the importance of environmental transmission in determining the outbreak periodicity, but only for a weak between-host transmission rates. A new analytic approach is used here to determine the relative contribution of environmental and direct transmission routes to the features of recurrent epidemics. Using an ...
format Text
author Mata, May Anne Estrera
spellingShingle Mata, May Anne Estrera
Avian influenza epidemic recurrence and approximate stochastic models ...
author_facet Mata, May Anne Estrera
author_sort Mata, May Anne Estrera
title Avian influenza epidemic recurrence and approximate stochastic models ...
title_short Avian influenza epidemic recurrence and approximate stochastic models ...
title_full Avian influenza epidemic recurrence and approximate stochastic models ...
title_fullStr Avian influenza epidemic recurrence and approximate stochastic models ...
title_full_unstemmed Avian influenza epidemic recurrence and approximate stochastic models ...
title_sort avian influenza epidemic recurrence and approximate stochastic models ...
publisher University of British Columbia
publishDate 2017
url https://dx.doi.org/10.14288/1.0347223
https://doi.library.ubc.ca/10.14288/1.0347223
genre Avian flu
genre_facet Avian flu
op_doi https://doi.org/10.14288/1.0347223
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