An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries
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 det...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-06-01
|
| Series: | Biology |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-7737/12/6/887 |
| _version_ | 1797596049074814976 |
|---|---|
| author | Víctor Leiva Esdras Alcudia Julia Montano Cecilia Castro |
| author_facet | Víctor Leiva Esdras Alcudia Julia Montano Cecilia Castro |
| author_sort | Víctor Leiva |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T02:45:03Z |
| format | Article |
| id | doaj.art-bbde7f99797547a9abe90c455f5fe5da |
| institution | Directory Open Access Journal |
| issn | 2079-7737 |
| language | English |
| last_indexed | 2024-03-11T02:45:03Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biology |
| spelling | doaj.art-bbde7f99797547a9abe90c455f5fe5da2023-11-18T09:23:55ZengMDPI AGBiology2079-77372023-06-0112688710.3390/biology12060887An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American CountriesVíctor Leiva0Esdras Alcudia1Julia Montano2Cecilia Castro3School of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2362807, ChileFaculty of Statistics and Informatics, Universidad Veracruzana, Xalapa 91140, MexicoFaculty of Statistics and Informatics, Universidad Veracruzana, Xalapa 91140, MexicoCentre of Mathematics, University of Minho, 4710-057 Braga, PortugalThis 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.https://www.mdpi.com/2079-7737/12/6/887data scienceepidemic modelsreproduction numberSARS-CoV-2time-series models |
| spellingShingle | Víctor Leiva Esdras Alcudia Julia Montano Cecilia Castro An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries Biology data science epidemic models reproduction number SARS-CoV-2 time-series models |
| title | An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries |
| title_full | An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries |
| title_fullStr | An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries |
| title_full_unstemmed | An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries |
| title_short | An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries |
| title_sort | epidemiological analysis for assessing and evaluating covid 19 based on data analytics in latin american countries |
| topic | data science epidemic models reproduction number SARS-CoV-2 time-series models |
| url | https://www.mdpi.com/2079-7737/12/6/887 |
| work_keys_str_mv | AT victorleiva anepidemiologicalanalysisforassessingandevaluatingcovid19basedondataanalyticsinlatinamericancountries AT esdrasalcudia anepidemiologicalanalysisforassessingandevaluatingcovid19basedondataanalyticsinlatinamericancountries AT juliamontano anepidemiologicalanalysisforassessingandevaluatingcovid19basedondataanalyticsinlatinamericancountries AT ceciliacastro anepidemiologicalanalysisforassessingandevaluatingcovid19basedondataanalyticsinlatinamericancountries AT victorleiva epidemiologicalanalysisforassessingandevaluatingcovid19basedondataanalyticsinlatinamericancountries AT esdrasalcudia epidemiologicalanalysisforassessingandevaluatingcovid19basedondataanalyticsinlatinamericancountries AT juliamontano epidemiologicalanalysisforassessingandevaluatingcovid19basedondataanalyticsinlatinamericancountries AT ceciliacastro epidemiologicalanalysisforassessingandevaluatingcovid19basedondataanalyticsinlatinamericancountries |