An epidemiological analysis for assessing and evaluating COVID-19 based on data analytics in latin American countries

• Author(s): Castro, Cecília ; Leiva, Víctor ; Alcudia, Esdras ; Montano, J.
• Date: 2023
• Persistent ID: https://hdl.handle.net/1822/85429
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): Data science; Epidemic models; Reproduction number; SARS-CoV-2; Time-series models
• Document Type: Journal article
• Language: English
• Contributor(s): Universidade do Minho

Description

In this research, we investigate the COVID-19 spread in Latin American countries using time-series and epidemic models. We highlight the diverse outbreak patterns and the crucial role of the reproduction number in modeling pandemic scenarios. Our findings underscore the need for ongoing epidemic surveillance and accurate data handling.