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https://hdl.handle.net/1822/90820| Título: | The impact of contingency measures on the COVID-19 reproduction rate |
| Autor(es): | Sousa, Regina Oliveira, Daniela Sofia Rijo Hak, Francini Machado, José Manuel |
| Palavras-chave: | Big Data Analysis Contigency Measures Correlation Covid-19 PowerBI Proliferation rate Spark |
| Data: | 2023 |
| Editora: | Springer, Cham |
| Revista: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) |
| Citação: | Sousa, R., Oliveira, D., Hak, F., Machado, J. (2023). The Impact of Contingency Measures on the COVID-19 Reproduction Rate. In: Machado, J.M., Peixoto, H. (eds) AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities. AISCOVID 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 485. Springer, Cham. https://doi.org/10.1007/978-3-031-38204-8_3 |
| Resumo(s): | The SARS-CoV-2 virus had a major impact on the health of the world’s population, causing governments to take progressively more cautious measures. All of these measures took into account the pandemic situation in the region in real time, with the aim of slowing down the spread of the infection as much as possible and reducing the associated mortality. This article aims to study the impact of preventive measures on the spread of COVID-19 and the consequent impact on excess deaths. In order to obtain the results presented, Big Data techniques were used for data storage and processing. As a result it can be concluded that Gross Domestic Product (GDP) is directly proportional to the Human Development Index (HDI), Higher GDP per capita are associated with a higher number of new cases of COVID-19 and R-index is inversely proportional to the severity of the contingency measures. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/90820 |
| ISBN: | 978-3-031-38203-1 |
| e-ISBN: | 978-3-031-38204-8 |
| DOI: | 10.1007/978-3-031-38204-8_3 |
| ISSN: | 1867-8211 |
| Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-38204-8_3 |
| Arbitragem científica: | yes |
| Acesso: | Acesso restrito UMinho |
| Aparece nas coleções: |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| AISCOVID19_321765.pdf Acesso restrito! | 2,22 MB | Adobe PDF | Ver/Abrir |
