Approximations of stochastic household models for comparing antiviral allocation schemes.

From the first recorded influenza pandemic in 1890, there have been new strains of influenza which have caused pandemics approximately every 30 years including recent events such as the H5N1 Avian 'Flu pandemic and the 2009 H1N1 Swine 'Flu pandemic. Although the 2009 pandemic was mild in n...

Full description

Bibliographic Details
Main Author: Lydeamore, Michael John
Other Authors: Ross, Joshua, Black, Andrew, Bean, Nigel Geoffrey, School of Mathematical Sciences
Format: Thesis
Language:unknown
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/2440/93524
id ftunivadelaidedl:oai:digital.library.adelaide.edu.au:2440/93524
record_format openpolar
spelling ftunivadelaidedl:oai:digital.library.adelaide.edu.au:2440/93524 2023-05-15T15:34:36+02:00 Approximations of stochastic household models for comparing antiviral allocation schemes. Lydeamore, Michael John Ross, Joshua Black, Andrew Bean, Nigel Geoffrey School of Mathematical Sciences 2015 application/pdf http://hdl.handle.net/2440/93524 unknown http://hdl.handle.net/2440/93524 antivirals household model allocation schemes preallocation dynamic allocation branching process deterministic Thesis 2015 ftunivadelaidedl 2023-02-05T19:32:42Z From the first recorded influenza pandemic in 1890, there have been new strains of influenza which have caused pandemics approximately every 30 years including recent events such as the H5N1 Avian 'Flu pandemic and the 2009 H1N1 Swine 'Flu pandemic. Although the 2009 pandemic was mild in nature, if events of the past are any indication then control of future pandemics is of utmost importance. Vaccination is commonly looked at to help control the spread of a pandemic, however, vaccinations are strain-specific. While developing a new vaccine is possible, the World Health Organisation estimates that this process would take four to five months. This means that vaccination cannot be used to help control the spread of influenza early on in a pandemic. An alternative are antivirals which are not strain-specific, meaning that they can potentially be used to help control the spread of influenza early on in a pandemic. Antivirals are, however, not as effective at reducing the spread of disease when compared to vaccination. In the 2009 Swine 'Flu pandemic, many countries worldwide utilised antiviral medication, with the aim to assist in controlling the spread of influenza. The most common method in which these antivirals were utilised we refer to as dynamic allocation. In dynamic allocation, when the first person in a household experiences influenza-like symptoms, they report to a health professional. Then, a sample is sent for laboratory testing. If the individual is confirmed to have influenza, the entire household is allocated a course of antivirals and every member of the household begins taking them. The potential weakness in this strategy is the delay between becoming infectious and a household receiving antivirals. We consider an alternative antiviral allocation scheme which we call preallocation. In a preallocation scheme, instead of waiting for antivirals to be delivered after the first confirmed infection, as is the case with dynamic allocation, the antivirals are delivered to households at the beginning of the ... Thesis Avian flu The University of Adelaide: Digital Library
institution Open Polar
collection The University of Adelaide: Digital Library
op_collection_id ftunivadelaidedl
language unknown
topic antivirals
household model
allocation schemes
preallocation
dynamic allocation
branching process
deterministic
spellingShingle antivirals
household model
allocation schemes
preallocation
dynamic allocation
branching process
deterministic
Lydeamore, Michael John
Approximations of stochastic household models for comparing antiviral allocation schemes.
topic_facet antivirals
household model
allocation schemes
preallocation
dynamic allocation
branching process
deterministic
description From the first recorded influenza pandemic in 1890, there have been new strains of influenza which have caused pandemics approximately every 30 years including recent events such as the H5N1 Avian 'Flu pandemic and the 2009 H1N1 Swine 'Flu pandemic. Although the 2009 pandemic was mild in nature, if events of the past are any indication then control of future pandemics is of utmost importance. Vaccination is commonly looked at to help control the spread of a pandemic, however, vaccinations are strain-specific. While developing a new vaccine is possible, the World Health Organisation estimates that this process would take four to five months. This means that vaccination cannot be used to help control the spread of influenza early on in a pandemic. An alternative are antivirals which are not strain-specific, meaning that they can potentially be used to help control the spread of influenza early on in a pandemic. Antivirals are, however, not as effective at reducing the spread of disease when compared to vaccination. In the 2009 Swine 'Flu pandemic, many countries worldwide utilised antiviral medication, with the aim to assist in controlling the spread of influenza. The most common method in which these antivirals were utilised we refer to as dynamic allocation. In dynamic allocation, when the first person in a household experiences influenza-like symptoms, they report to a health professional. Then, a sample is sent for laboratory testing. If the individual is confirmed to have influenza, the entire household is allocated a course of antivirals and every member of the household begins taking them. The potential weakness in this strategy is the delay between becoming infectious and a household receiving antivirals. We consider an alternative antiviral allocation scheme which we call preallocation. In a preallocation scheme, instead of waiting for antivirals to be delivered after the first confirmed infection, as is the case with dynamic allocation, the antivirals are delivered to households at the beginning of the ...
author2 Ross, Joshua
Black, Andrew
Bean, Nigel Geoffrey
School of Mathematical Sciences
format Thesis
author Lydeamore, Michael John
author_facet Lydeamore, Michael John
author_sort Lydeamore, Michael John
title Approximations of stochastic household models for comparing antiviral allocation schemes.
title_short Approximations of stochastic household models for comparing antiviral allocation schemes.
title_full Approximations of stochastic household models for comparing antiviral allocation schemes.
title_fullStr Approximations of stochastic household models for comparing antiviral allocation schemes.
title_full_unstemmed Approximations of stochastic household models for comparing antiviral allocation schemes.
title_sort approximations of stochastic household models for comparing antiviral allocation schemes.
publishDate 2015
url http://hdl.handle.net/2440/93524
genre Avian flu
genre_facet Avian flu
op_relation http://hdl.handle.net/2440/93524
_version_ 1766364931300524032