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Medicine (Baltimore) ; 100(15): e25495, 2021 Apr 16.
Article in English | MEDLINE | ID: covidwho-1180673


ABSTRACT: While the new Coronavirus Disease 2019 (COVID-19) pandemic rapidly spread across the world, South America was reached later in relation to Asia, Europe and the United States of America (USA). Brazil concentrates now the largest number of cases in the continent and, as the disease speedily progressed throughout the country, prompt and challenging operational strategies had to be taken by institutions caring for COVID-19 and non-COVID-19 patients in order to assure optimal workflows, triage, and management. Although hospitals in the USA, Europe and Asia have shared their experience on this subject, little has been discussed about such strategies in South America or by the perspective of outpatient centers, which are paramount in the radiology field. This article shares the guidelines adopted early in the pandemic by a nationwide outpatient healthcare center composed by a network of more than 200 patient service centers and nearly 2,000 radiologists in Brazil, discussing operational and patient management strategies, staff protection, changes adopted in the fellowship program, and the effectiveness of such measures.

Ambulatory Care , COVID-19 , Change Management , Civil Defense , Critical Pathways , Strategic Planning , Technology, Radiologic , Ambulatory Care/methods , Ambulatory Care/organization & administration , Ambulatory Care/statistics & numerical data , Brazil/epidemiology , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/prevention & control , Civil Defense/organization & administration , Civil Defense/statistics & numerical data , Critical Pathways/organization & administration , Critical Pathways/trends , Humans , Organizational Innovation , Practice Guidelines as Topic , SARS-CoV-2 , Strategic Planning/standards , Strategic Planning/statistics & numerical data , Technology, Radiologic/methods , Technology, Radiologic/organization & administration , Technology, Radiologic/statistics & numerical data
Science ; 369(6508): 1255-1260, 2020 09 04.
Article in English | MEDLINE | ID: covidwho-675945


Brazil currently has one of the fastest-growing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemics in the world. Because of limited available data, assessments of the impact of nonpharmaceutical interventions (NPIs) on this virus spread remain challenging. Using a mobility-driven transmission model, we show that NPIs reduced the reproduction number from >3 to 1 to 1.6 in São Paulo and Rio de Janeiro. Sequencing of 427 new genomes and analysis of a geographically representative genomic dataset identified >100 international virus introductions in Brazil. We estimate that most (76%) of the Brazilian strains fell in three clades that were introduced from Europe between 22 February and 11 March 2020. During the early epidemic phase, we found that SARS-CoV-2 spread mostly locally and within state borders. After this period, despite sharp decreases in air travel, we estimated multiple exportations from large urban centers that coincided with a 25% increase in average traveled distances in national flights. This study sheds new light on the epidemic transmission and evolutionary trajectories of SARS-CoV-2 lineages in Brazil and provides evidence that current interventions remain insufficient to keep virus transmission under control in this country.

Betacoronavirus/genetics , Coronavirus Infections/epidemiology , Coronavirus Infections/transmission , Pneumonia, Viral/epidemiology , Pneumonia, Viral/transmission , Basic Reproduction Number , Bayes Theorem , Betacoronavirus/classification , Brazil/epidemiology , COVID-19 , COVID-19 Testing , Cities/epidemiology , Clinical Laboratory Techniques , Coronavirus Infections/diagnosis , Coronavirus Infections/prevention & control , Coronavirus Infections/virology , Europe , Evolution, Molecular , Genome, Viral , Humans , Models, Genetic , Models, Statistical , Pandemics/prevention & control , Phylogeny , Phylogeography , Pneumonia, Viral/prevention & control , Pneumonia, Viral/virology , SARS-CoV-2 , Spatio-Temporal Analysis , Travel , Urban Population