FasssTrace: Social Network Analysis Approach in Modeling Contract Tracing for Covid-19 in the Philippines

As of date most contact tracing efforts implemented by the local government units to stem the transmission of COVID-19 follow stan- dard manual contract tracing procedures. However, with the constant increase in the speed of the COVID-19 outbreak, traditional contact trac- ing approaches are not suf...

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Main Author: Pangan, Zachary
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Published: Archīum Ateneo 2021
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Online Access:https://archium.ateneo.edu/theses-dissertations/519
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spelling ph-ateneo-arc.theses-dissertations-16452021-10-06T05:00:04Z FasssTrace: Social Network Analysis Approach in Modeling Contract Tracing for Covid-19 in the Philippines Pangan, Zachary As of date most contact tracing efforts implemented by the local government units to stem the transmission of COVID-19 follow stan- dard manual contract tracing procedures. However, with the constant increase in the speed of the COVID-19 outbreak, traditional contact trac- ing approaches are not sufficient to contain the spread of the disease. This study aims to make contact tracing more efficient by developing a contact tracing model for digital platforms. Using the R platform, this study applied standard social network analysis in the context of contact tracing. Through the computation of micro-level and macro-level net- work measures, this study was able to analyze a contact tracing dataset from a highly urbanized city in Luzon and 1) provide a social network model of confirmed cases with their close contacts 2) identify key nodes in the network and 3) understand its transmission dynamics. The con- structed network took the form of a two-mode network where location nodes are integrated with the person nodes to connect unlinked cases. From the analysis of the key nodes identified in the network, it was re- vealed that 81% of all the COVID-19 links in the city was facilitated by only 5% of the infected population. Moreover, a closer look on the dis- tribution of the micro-level degree scores of all the nodes in the network reveal that in the earlier stages of the pandemic, the situation was more manageable as the distribution portrays a weak likelihood to a power- law distribution, but was overturned when the restrictions loosened. 2021-01-01T08:00:00Z text https://archium.ateneo.edu/theses-dissertations/519 Theses and Dissertations (All) Archīum Ateneo n/a
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
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Pangan, Zachary
FasssTrace: Social Network Analysis Approach in Modeling Contract Tracing for Covid-19 in the Philippines
description As of date most contact tracing efforts implemented by the local government units to stem the transmission of COVID-19 follow stan- dard manual contract tracing procedures. However, with the constant increase in the speed of the COVID-19 outbreak, traditional contact trac- ing approaches are not sufficient to contain the spread of the disease. This study aims to make contact tracing more efficient by developing a contact tracing model for digital platforms. Using the R platform, this study applied standard social network analysis in the context of contact tracing. Through the computation of micro-level and macro-level net- work measures, this study was able to analyze a contact tracing dataset from a highly urbanized city in Luzon and 1) provide a social network model of confirmed cases with their close contacts 2) identify key nodes in the network and 3) understand its transmission dynamics. The con- structed network took the form of a two-mode network where location nodes are integrated with the person nodes to connect unlinked cases. From the analysis of the key nodes identified in the network, it was re- vealed that 81% of all the COVID-19 links in the city was facilitated by only 5% of the infected population. Moreover, a closer look on the dis- tribution of the micro-level degree scores of all the nodes in the network reveal that in the earlier stages of the pandemic, the situation was more manageable as the distribution portrays a weak likelihood to a power- law distribution, but was overturned when the restrictions loosened.
format text
author Pangan, Zachary
author_facet Pangan, Zachary
author_sort Pangan, Zachary
title FasssTrace: Social Network Analysis Approach in Modeling Contract Tracing for Covid-19 in the Philippines
title_short FasssTrace: Social Network Analysis Approach in Modeling Contract Tracing for Covid-19 in the Philippines
title_full FasssTrace: Social Network Analysis Approach in Modeling Contract Tracing for Covid-19 in the Philippines
title_fullStr FasssTrace: Social Network Analysis Approach in Modeling Contract Tracing for Covid-19 in the Philippines
title_full_unstemmed FasssTrace: Social Network Analysis Approach in Modeling Contract Tracing for Covid-19 in the Philippines
title_sort fassstrace: social network analysis approach in modeling contract tracing for covid-19 in the philippines
publisher Archīum Ateneo
publishDate 2021
url https://archium.ateneo.edu/theses-dissertations/519
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