Análise da evolução da pandemia de covid-19 em relação a indicadores macroeconômicos, demográficos e políticos
Analysis of the evolution of the COVID-19 pandemic in relation to macroeconomic, demographic and political indicators
DOI:
https://doi.org/10.22167/2675-441X-2024719Keywords:
coronavírus, “machine learning”, política pública, saúde públicaAbstract
This study assesses the impacts of wealth, development and policy conditions on the performance of 168 countries in relation to the number of confirmed COVID-19 cases and deaths per million population after 365 days of the first locally confirmed case. For this analysis, supervised and unsupervised machine learning techniques were used, clustering to support data exploration and principal component analysis for data exploration, and principal component analysis and multilevel modeling to confirm the relationships and patterns found. From the results it is possible to conclude that the pre-existing conditions of wealth, development and policies have a significant impact on the performance standards of the countries analyzed in relation to the pandemic.
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