Graph Theory approach to COVID-19 transmission by municipalities and age groups
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2022 |
| Outros Autores: | , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/10773/35166 |
Resumo: | The COVID-19 pandemic remains a global problem that affects the health of millions of people and the world economy. Identifying how the movement of people between regions of the world, countries, and municipalities and how the close contact between individuals of different age groups promotes the spread of infectious diseases is a pressing concern for society, during epidemic outbreaks and pandemics, such as COVID-19. Networks and Graph Theory provide adequate and powerful tools to study the spread of communicable diseases. In this work, we use Graph Theory to analyze COVID-19 transmission dynamics between municipalities of Aveiro district, in Portugal, and between different age groups, considering data from 2020 and 2021, in order to better understand the spread of this disease, as well as preparing actions for possible future pandemics. We used a digraph structure that models the transmission of SARS-CoV-2 virus between Aveiro’s municipalities and between age groups. To understand how a node fits over the contact digraphs, we studied centrality measures, namely eigencentrality, closeness, degree, and betweenness. Transmission ratios were also considered to determine whether there were certain age groups or municipals that were more responsible for the virus’s spread. According to the results of this research, transmissions mostly occur within the same social groupings, that is, within the same municipalities and age groups. However, the study of centrality measures, eliminating loops, reveals that municipalities such as Aveiro, Estarreja and Ovar are relevant nodes in the transmission network of municipalities as well as the age group of 40–49 in the transmission network of age groups. Furthermore, we conclude that vaccination is effective in reducing the virus. |
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Graph Theory approach to COVID-19 transmission by municipalities and age groupsGraph theoryCentrality measuresCOVID-19Betweenness centralityCloseness centralityDegree centralityEigencentralityAge groupsMunicipalsThe COVID-19 pandemic remains a global problem that affects the health of millions of people and the world economy. Identifying how the movement of people between regions of the world, countries, and municipalities and how the close contact between individuals of different age groups promotes the spread of infectious diseases is a pressing concern for society, during epidemic outbreaks and pandemics, such as COVID-19. Networks and Graph Theory provide adequate and powerful tools to study the spread of communicable diseases. In this work, we use Graph Theory to analyze COVID-19 transmission dynamics between municipalities of Aveiro district, in Portugal, and between different age groups, considering data from 2020 and 2021, in order to better understand the spread of this disease, as well as preparing actions for possible future pandemics. We used a digraph structure that models the transmission of SARS-CoV-2 virus between Aveiro’s municipalities and between age groups. To understand how a node fits over the contact digraphs, we studied centrality measures, namely eigencentrality, closeness, degree, and betweenness. Transmission ratios were also considered to determine whether there were certain age groups or municipals that were more responsible for the virus’s spread. According to the results of this research, transmissions mostly occur within the same social groupings, that is, within the same municipalities and age groups. However, the study of centrality measures, eliminating loops, reveals that municipalities such as Aveiro, Estarreja and Ovar are relevant nodes in the transmission network of municipalities as well as the age group of 40–49 in the transmission network of age groups. Furthermore, we conclude that vaccination is effective in reducing the virus.MDPI2022-11-10T11:50:31Z2022-10-01T00:00:00Z2022-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/35166eng1300-686X10.3390/mca27050086Machado, PedroPinheiro, Sofia J.Afreixo, VeraSilva, Cristiana J.Leitão, Ruiinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:40:26Zoai:ria.ua.pt:10773/35166Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:16:34.612478Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Graph Theory approach to COVID-19 transmission by municipalities and age groups |
| title |
Graph Theory approach to COVID-19 transmission by municipalities and age groups |
| spellingShingle |
Graph Theory approach to COVID-19 transmission by municipalities and age groups Machado, Pedro Graph theory Centrality measures COVID-19 Betweenness centrality Closeness centrality Degree centrality Eigencentrality Age groups Municipals |
| title_short |
Graph Theory approach to COVID-19 transmission by municipalities and age groups |
| title_full |
Graph Theory approach to COVID-19 transmission by municipalities and age groups |
| title_fullStr |
Graph Theory approach to COVID-19 transmission by municipalities and age groups |
| title_full_unstemmed |
Graph Theory approach to COVID-19 transmission by municipalities and age groups |
| title_sort |
Graph Theory approach to COVID-19 transmission by municipalities and age groups |
| author |
Machado, Pedro |
| author_facet |
Machado, Pedro Pinheiro, Sofia J. Afreixo, Vera Silva, Cristiana J. Leitão, Rui |
| author_role |
author |
| author2 |
Pinheiro, Sofia J. Afreixo, Vera Silva, Cristiana J. Leitão, Rui |
| author2_role |
author author author author |
| dc.contributor.author.fl_str_mv |
Machado, Pedro Pinheiro, Sofia J. Afreixo, Vera Silva, Cristiana J. Leitão, Rui |
| dc.subject.por.fl_str_mv |
Graph theory Centrality measures COVID-19 Betweenness centrality Closeness centrality Degree centrality Eigencentrality Age groups Municipals |
| topic |
Graph theory Centrality measures COVID-19 Betweenness centrality Closeness centrality Degree centrality Eigencentrality Age groups Municipals |
| description |
The COVID-19 pandemic remains a global problem that affects the health of millions of people and the world economy. Identifying how the movement of people between regions of the world, countries, and municipalities and how the close contact between individuals of different age groups promotes the spread of infectious diseases is a pressing concern for society, during epidemic outbreaks and pandemics, such as COVID-19. Networks and Graph Theory provide adequate and powerful tools to study the spread of communicable diseases. In this work, we use Graph Theory to analyze COVID-19 transmission dynamics between municipalities of Aveiro district, in Portugal, and between different age groups, considering data from 2020 and 2021, in order to better understand the spread of this disease, as well as preparing actions for possible future pandemics. We used a digraph structure that models the transmission of SARS-CoV-2 virus between Aveiro’s municipalities and between age groups. To understand how a node fits over the contact digraphs, we studied centrality measures, namely eigencentrality, closeness, degree, and betweenness. Transmission ratios were also considered to determine whether there were certain age groups or municipals that were more responsible for the virus’s spread. According to the results of this research, transmissions mostly occur within the same social groupings, that is, within the same municipalities and age groups. However, the study of centrality measures, eliminating loops, reveals that municipalities such as Aveiro, Estarreja and Ovar are relevant nodes in the transmission network of municipalities as well as the age group of 40–49 in the transmission network of age groups. Furthermore, we conclude that vaccination is effective in reducing the virus. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022-11-10T11:50:31Z 2022-10-01T00:00:00Z 2022-10 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10773/35166 |
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eng |
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eng |
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1300-686X 10.3390/mca27050086 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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MDPI |
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