Analysis of the influence of non-pharmaceutical interventions and cultural differences on the evolution of COVID-19
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/24293 |
Resumo: | Since the beginning of the COVID-19 pandemic, countries worldwide have implemented a set of Non-Pharmaceutical Interventions (NPIs) as a way to face the evolution of the pandemic. In this dissertation we propose a detailed analysis of the evolution of the pandemic that considers the degree of restriction of NPIs from March 2020 to May 2021 and the reproduction rate in five countries: India, Brazil, United Kingdom, Israel and Portugal. In addition to this, we analyse the impact that Hofstede's cultural dimensions may have between implementations of various degrees of restriction of NPIs and the reproduction rate by applying machine learning models to understand whether cultural characteristics are useful information to improve reproduction rate predictions. To achieve these objectives, we follow the CRISP-DM methodology being that we gather data from Our World in Data COVID-19, Oxford COVID-19 Government Response Tracker and Hofstede Insights website. We show an in-depth and extensive analysis over these months of the pandemic which shows differences between the five countries that have implemented the same NPIs to different degrees and where culture plays an important role in each country's response to the various NPIs implemented. |
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Analysis of the influence of non-pharmaceutical interventions and cultural differences on the evolution of COVID-19COVID-19NPIsNon-pharmaceutical interventionsHofstede’s cultural dimensionsMachine learningIntervenções não farmacêuticasTeoria das Dimensões Culturais de HofstedeSince the beginning of the COVID-19 pandemic, countries worldwide have implemented a set of Non-Pharmaceutical Interventions (NPIs) as a way to face the evolution of the pandemic. In this dissertation we propose a detailed analysis of the evolution of the pandemic that considers the degree of restriction of NPIs from March 2020 to May 2021 and the reproduction rate in five countries: India, Brazil, United Kingdom, Israel and Portugal. In addition to this, we analyse the impact that Hofstede's cultural dimensions may have between implementations of various degrees of restriction of NPIs and the reproduction rate by applying machine learning models to understand whether cultural characteristics are useful information to improve reproduction rate predictions. To achieve these objectives, we follow the CRISP-DM methodology being that we gather data from Our World in Data COVID-19, Oxford COVID-19 Government Response Tracker and Hofstede Insights website. We show an in-depth and extensive analysis over these months of the pandemic which shows differences between the five countries that have implemented the same NPIs to different degrees and where culture plays an important role in each country's response to the various NPIs implemented.Desde o início da pandemia COVID-19 que os países do mundo inteiro implementaram um conjunto de intervenções não farmacêuticas (NPIs) como forma de combater a evolução da pandemia. Nesta dissertação propomos uma análise detalhada da evolução da pandemia que considera o grau de restrição das NPIs desde Março de 2020 a Maio de 2021 e a taxa de reprodução em cinco países: India, Brasil, Reino Unido, Israel e Portugal. Além disto, analisamos o impacto que as dimensões culturais de Hofstede podem ter entre as implementações de vários graus de restrição de NPIs e a taxa de reprodução aplicando modelos de machine learning para compreender se as características culturais são informações úteis para melhorar as previsões da taxa de reprodução. Para concretizar estes objetivos, nós seguimos a metodologia do CRISP-DM sendo que, reunimos dados de Our World in Data COVID-19, Oxford COVID-19 Government Response Tracker e o website Hofstede Insights. Mostramos uma análise aprofundada e extensa ao longo destes meses da pandemia a qual mostra diferenças entre os cinco países que implementaram as mesmas NPIs em diferentes graus e em que a cultura desempenha um papel importante na resposta de cada país às várias NPIs implementadas.2022-01-25T10:40:22Z2021-12-17T00:00:00Z2021-12-172021-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/24293TID:202855929engDuarte, Margarida Martinsinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:45:04Zoai:repositorio.iscte-iul.pt:10071/24293Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:21:27.635535Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Analysis of the influence of non-pharmaceutical interventions and cultural differences on the evolution of COVID-19 |
title |
Analysis of the influence of non-pharmaceutical interventions and cultural differences on the evolution of COVID-19 |
spellingShingle |
Analysis of the influence of non-pharmaceutical interventions and cultural differences on the evolution of COVID-19 Duarte, Margarida Martins COVID-19 NPIs Non-pharmaceutical interventions Hofstede’s cultural dimensions Machine learning Intervenções não farmacêuticas Teoria das Dimensões Culturais de Hofstede |
title_short |
Analysis of the influence of non-pharmaceutical interventions and cultural differences on the evolution of COVID-19 |
title_full |
Analysis of the influence of non-pharmaceutical interventions and cultural differences on the evolution of COVID-19 |
title_fullStr |
Analysis of the influence of non-pharmaceutical interventions and cultural differences on the evolution of COVID-19 |
title_full_unstemmed |
Analysis of the influence of non-pharmaceutical interventions and cultural differences on the evolution of COVID-19 |
title_sort |
Analysis of the influence of non-pharmaceutical interventions and cultural differences on the evolution of COVID-19 |
author |
Duarte, Margarida Martins |
author_facet |
Duarte, Margarida Martins |
author_role |
author |
dc.contributor.author.fl_str_mv |
Duarte, Margarida Martins |
dc.subject.por.fl_str_mv |
COVID-19 NPIs Non-pharmaceutical interventions Hofstede’s cultural dimensions Machine learning Intervenções não farmacêuticas Teoria das Dimensões Culturais de Hofstede |
topic |
COVID-19 NPIs Non-pharmaceutical interventions Hofstede’s cultural dimensions Machine learning Intervenções não farmacêuticas Teoria das Dimensões Culturais de Hofstede |
description |
Since the beginning of the COVID-19 pandemic, countries worldwide have implemented a set of Non-Pharmaceutical Interventions (NPIs) as a way to face the evolution of the pandemic. In this dissertation we propose a detailed analysis of the evolution of the pandemic that considers the degree of restriction of NPIs from March 2020 to May 2021 and the reproduction rate in five countries: India, Brazil, United Kingdom, Israel and Portugal. In addition to this, we analyse the impact that Hofstede's cultural dimensions may have between implementations of various degrees of restriction of NPIs and the reproduction rate by applying machine learning models to understand whether cultural characteristics are useful information to improve reproduction rate predictions. To achieve these objectives, we follow the CRISP-DM methodology being that we gather data from Our World in Data COVID-19, Oxford COVID-19 Government Response Tracker and Hofstede Insights website. We show an in-depth and extensive analysis over these months of the pandemic which shows differences between the five countries that have implemented the same NPIs to different degrees and where culture plays an important role in each country's response to the various NPIs implemented. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-17T00:00:00Z 2021-12-17 2021-11 2022-01-25T10:40:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/24293 TID:202855929 |
url |
http://hdl.handle.net/10071/24293 |
identifier_str_mv |
TID:202855929 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799134775606247424 |