Artículo

A bibliometric analysis of COVID-19 research in Latin America and the Caribbean

Resumen

Introduction: Latin America and the Caribbean (LAC) is one of the regions most affected by the COVID-19 pandemic. Yet, there is scarce literature addressing the research strategies developed in LAC to face COVID-19. Objective: To quantify and assess the production of scientific publications about COVID-19 in 32 countries of LAC between January 1 and July 31, 2020. Materials and methods: Bibliometric study. Scientific papers on COVID-19 conducted in LAC or re-porting data pertaining to LAC and published between January 1 to July 31, 2020, were searched in the Scopus, PubMed, and LILACS databases. A subgroup analysis including only original research articles was performed to determine the contribution of LAC countries to research on COVID-19, and standardization measures (# of articles per million people) were applied to compare the country-spe-cific production of this type of articles. Results: A total of 1 291 publications were retrieved. Overall, most of them were non-original research articles (81.72%), and the countries with the highest scientific production were Brazil (43.91%) and Mexico (9.14%). However, after applying the standardization measures, Chile was the country with the highest production of original articles (0.58 per million inhabitants). Regarding original studies (n=236), cross-sectional design was the most common (25.84%). Diagnosis and treatment of the disease was the main research focus (n=354; 27.42%). However, in the subgroup analysis (n=236), epidemiology and surveillance were the most prevalent research focus (n=57; 24.15%). Conclusions: During the study period, non-original research articles were predominant in the scientific production of the LAC region, and interventional studies were scarce among original articles, while the cross-sectional design predominated. Further research with a better quality of evidence should be performed in these countries to contribute to the making of health policies aimed at easing the burden of COVID-19 in the region and preparing for future pandemics. © 2021, Universidad Nacional de Colombia. All rights reserved.
Khamisy-Farah, Rola (55808741800); Gilbey, Peter (55980203000); Furstenau, Leonardo B. (57211463471); Sott, Michele Kremer (57218374403); Farah, Raymond (14013894800); Viviani, Maurizio (57231700200); Bisogni, Maurizio (57232852500); Kong, Jude Dzevela (56305065700); Ciliberti, Rosagemma (6507895664); Bragazzi, Nicola Luigi (57212030091)
Big data for biomedical education with a focus on the covid-19 era: An integrative review of the literature
2021
10.3390/ijerph18178989
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113546517&doi=10.3390%2fijerph18178989&partnerID=40&md5=d9dcc718aa0b917324d63a4b1f8d88c9
Clalit Health Service, Akko, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, 13100, Israel; Azrieli Faculty of medicine, Bar Ilan University, Safed, 13100, Israel; Department of Industrial Engineering, Federal University of Rio Grande do Sul, Porto Alegre, 90035-190, Brazil; Business School, Unisinos University, Porto Alegre, 91330-002, Brazil; Department of Internal Medicine B, Ziv Medical Center, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, 13100, Israel; TransHumanGene, MedicaSwiss, Cham, Zug, 6330, Switzerland; Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, M3J 1P3, ON, Canada; Section of History of Medicine and Bioethics, Department of Health Sciences (DISSAL), University of Genoa, Genoa, 16132, Italy
All Open Access; Gold Open Access; Green Open Access
Scopus
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