Genomic, socio-environmental, and sequencing capability patterns in the surveillance of SARS-CoV-2 in Latin America and the Caribbean up to 2023 | ||
| dc.conicet.fuente | Crossref | |
| dc.conicet.organizacion | Universidad de Costa Rica | |
| dc.conicet.organizacion | Universidad de Costa Rica | |
| dc.conicet.organizacion | Universidad de Guanajuato | |
| dc.conicet.organizacion | Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo | |
| dc.conicet.organizacion | Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo | |
| dc.conicet.organizacion | Universidad de Costa Rica | |
| dc.conicet.organizacion | Universidad de Costa Rica | |
| dc.conicet.paisOrganizacion | Costa Rica | |
| dc.conicet.paisOrganizacion | Costa Rica | |
| dc.conicet.paisOrganizacion | México | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Costa Rica | |
| dc.conicet.paisOrganizacion | Costa Rica | |
| dc.conicet.produccionid | 12605586 | |
| dc.contributor.author | Concha Toloza, Macarena | |
| dc.contributor.author | Collado González, Luis | |
| dc.contributor.author | Herrera Estrella, Alfredo | |
| dc.contributor.author | Fernández Do Porto, Darío Augusto | |
| dc.contributor.author | Campos Sánchez, Rebeca | |
| dc.contributor.author | Molina Mora, Jose Arturo | |
| dc.date.accessioned | 2026-03-09T13:20:26Z | |
| dc.date.available | 2026-03-09T13:20:26Z | |
| dc.date.issued | 2025-04 | |
| dc.date.updated | 2026-03-09T12:57:00Z | |
| dc.description.abstract | Latin America and the Caribbean (LAC) have been one of the most strongly impacted regions by the Coronavirus disease 2019 (COVID-19) emergency, with more than 83 million reported infections and 1.7 million deaths until December 2023, intensifying economic and social inequalities. This study aimed to provide information to the regional SARS-CoV-2 surveillance programs by determining genomic, socio-environmental, and sequencing capacity patterns associated with the circulation of the virus in Latin America up to 2023. Data from 24 countries in LAC were analyzed using public databases up to December 2023. A sampling of SARS-CoV-2 sequences from cases in the region enabled a phylogenomic study to elucidate the temporal distribution of various variants of concern (VOCs), mutations, and recombinants. Also, we identified differences in sequencing capabilities in LAC. Additionally, correlation and generalized linear model (GLM) analyses were conducted to explore potential associations between 89 socio-environmental variables and five COVID-19 indicators at the country level. The phylogenomic analyses revealed a diversity of variants with the predominance of some during specific periods, mainly VOCs and some recombinant cases, and a mutation rate of 8.39 × 10-4 substitutions per site per year, which are in line with other regions of the world. Besides, a low sequencing rate in LAC (on average 0.7% of cases) and incomplete databases in several countries were identified. In the analysis of indicators, correlations between 9 socio-environmental indicators and four COVID-19 variables associated with cases, deaths, and diagnostic tests related to the virus in the region, although not for sequencing percentages. This study provides information about the development of COVID-19 disease in LAC in terms of the viral genome, sequencing capabilities, and the region´s complex socio-environmental conditions. Therefore, emphasis must be placed on implementing an integrated epidemiological surveillance approach to strengthen public health infrastructure and improve cooperation and preparedness for future infections affecting this region. | es |
| dc.description.fil | Fil: Concha Toloza, Macarena. Universidad de Costa Rica; Costa Rica | |
| dc.description.fil | Fil: Collado González, Luis. Universidad de Costa Rica; Costa Rica | |
| dc.description.fil | Fil: Herrera Estrella, Alfredo. Universidad de Guanajuato; México | |
| dc.description.fil | Fil: Fernández Do Porto, Darío Augusto. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina | |
| dc.description.fil | Fil: Campos Sánchez, Rebeca. Universidad de Costa Rica; Costa Rica | |
| dc.description.fil | Fil: Molina Mora, Jose Arturo. Universidad de Costa Rica; Costa Rica | |
| dc.format | application/pdf | es |
| dc.identifier.citation | Concha Toloza, Macarena; Collado González, Luis; Herrera Estrella, Alfredo; Fernández Do Porto, Darío Augusto; Campos Sánchez, Rebeca; et al.; Genomic, socio-environmental, and sequencing capability patterns in the surveillance of SARS-CoV-2 in Latin America and the Caribbean up to 2023; Nature; Scientific Reports; 15; 1; 4-2025; 1-13 | es |
| dc.identifier.institucional | CONICET | |
| dc.identifier.issn | 2045-2322 | es |
| dc.identifier.repo | CONICET Digital | |
| dc.identifier.uri | http://hdl.handle.net/11336/282670 | |
| dc.journal.number | 1 | es |
| dc.journal.pagination | 1-13 | es |
| dc.journal.pais | Reino Unido | es |
| dc.journal.title | Scientific Reports | es |
| dc.journal.volume | 15 | es |
| dc.language.iso | eng | es |
| dc.publisher | Nature | es |
| dc.relation.alternativeid | info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-025-98829-9 | |
| dc.relation.alternativeid | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1038/s41598-025-98829-9 | |
| dc.rights | info:eu-repo/semantics/openAccess | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ | * |
| dc.subject | COVID-19 | es |
| dc.subject | Latin America and the Caribbean | es |
| dc.subject | Socio-environmental indicators. | es |
| dc.subject | Sequencing capability | es |
| dc.subject.classification | Virología | es |
| dc.subject.classification | Ciencias Biológicas | es |
| dc.subject.classification | CIENCIAS NATURALES Y EXACTAS | es |
| dc.title | Genomic, socio-environmental, and sequencing capability patterns in the surveillance of SARS-CoV-2 in Latin America and the Caribbean up to 2023 | es |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:ar-repo/semantics/artículo | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
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