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An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries.
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- Author(s): Leiva, Víctor; Alcudia, Esdras; Montano, Julia; Castro, Cecilia
- Source:
Biology (2079-7737); Jun2023, Vol. 12 Issue 6, p887, 21p- Subject Terms:
- Source:
- Additional Information
- Abstract: Simple Summary: 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. This research provides a detailed analysis of the COVID-19 spread across 14 Latin American countries. Using time-series analysis and epidemic models, we identify diverse outbreak patterns, which seem not to be influenced by geographical location or country size, suggesting the influence of other determining factors. Our study uncovers significant discrepancies between the number recorded COVID-19 cases and the real epidemiological situation, emphasizing the crucial need for accurate data handling and continuous surveillance in managing epidemics. The absence of a clear correlation between the country size and the confirmed cases, as well as with the fatalities, further underscores the multifaceted influences on COVID-19 impact beyond population size. Despite the decreased real-time reproduction number indicating quarantine effectiveness in most countries, we note a resurgence in infection rates upon resumption of daily activities. These insights spotlight the challenge of balancing public health measures with economic and social activities. Our core findings provide novel insights, applicable to guiding epidemic control strategies and informing decision-making processes in combatting the pandemic. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Biology (2079-7737) is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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