Dynamical modeling of measles epidemics using a networked metapopulation approach

The burden of measles continues to afflict many developing countries, where medical resources are limited and communicable diseases can develop rapidly within a population. The ability to model and forecast epidemic transmission within and between communities given levels of vaccination can lead to...

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Main Author: MONTALAN, JANN RAILEY
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Published: Archīum Ateneo 2019
Online Access:https://archium.ateneo.edu/theses-dissertations/45
http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=2027382480&currentIndex=0&view=fullDetailsDetailsTab
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Institution: Ateneo De Manila University
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spelling ph-ateneo-arc.theses-dissertations-10442021-03-21T12:30:03Z Dynamical modeling of measles epidemics using a networked metapopulation approach MONTALAN, JANN RAILEY The burden of measles continues to afflict many developing countries, where medical resources are limited and communicable diseases can develop rapidly within a population. The ability to model and forecast epidemic transmission within and between communities given levels of vaccination can lead to better disease surveillance and public health response. This study implemented hybrid networked metapopulation models for measles spreading and introduced methods for segmenting historical incidence, estimating disease parameters, and approximating inter-subpopulation interactions between individuals. The flux movement of individuals can be approximated using the ideal flow of a transportation network. Results show that hybrid models that incorporate estimations of human movement can be used as alternative implementations for classical compartmental models. Geographical interpolation also suggest a relationship between measles incidence and the presence of roads and highways. Analysis also reveal that the rate of transmission and recovery from measles influence the spreading of the virus the most. 2019-01-01T08:00:00Z text https://archium.ateneo.edu/theses-dissertations/45 http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=2027382480&currentIndex=0&view=fullDetailsDetailsTab Theses and Dissertations (All) Archīum Ateneo
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
description The burden of measles continues to afflict many developing countries, where medical resources are limited and communicable diseases can develop rapidly within a population. The ability to model and forecast epidemic transmission within and between communities given levels of vaccination can lead to better disease surveillance and public health response. This study implemented hybrid networked metapopulation models for measles spreading and introduced methods for segmenting historical incidence, estimating disease parameters, and approximating inter-subpopulation interactions between individuals. The flux movement of individuals can be approximated using the ideal flow of a transportation network. Results show that hybrid models that incorporate estimations of human movement can be used as alternative implementations for classical compartmental models. Geographical interpolation also suggest a relationship between measles incidence and the presence of roads and highways. Analysis also reveal that the rate of transmission and recovery from measles influence the spreading of the virus the most.
format text
author MONTALAN, JANN RAILEY
spellingShingle MONTALAN, JANN RAILEY
Dynamical modeling of measles epidemics using a networked metapopulation approach
author_facet MONTALAN, JANN RAILEY
author_sort MONTALAN, JANN RAILEY
title Dynamical modeling of measles epidemics using a networked metapopulation approach
title_short Dynamical modeling of measles epidemics using a networked metapopulation approach
title_full Dynamical modeling of measles epidemics using a networked metapopulation approach
title_fullStr Dynamical modeling of measles epidemics using a networked metapopulation approach
title_full_unstemmed Dynamical modeling of measles epidemics using a networked metapopulation approach
title_sort dynamical modeling of measles epidemics using a networked metapopulation approach
publisher Archīum Ateneo
publishDate 2019
url https://archium.ateneo.edu/theses-dissertations/45
http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=2027382480&currentIndex=0&view=fullDetailsDetailsTab
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