Introduction: In December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in adults with pneumonia in Wuhan, China.
Areas Covered: It is now believed that several billion humans have been infected with SARS-CoV-2 and more than ten million have died from coronavirus disease 2019 (COVID-19), the disease caused by SARS-CoV-2.
Expert Opinion: The first five years of the SARS-CoV-2 pandemic have been marked by unfathomable suffering as well as remarkable scientific progress. This manuscript examines what has been learned about the treatment of inpatients with COVID-19 and explores how the therapeutic approach may evolve in the years ahead.
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| http://dx.doi.org/10.1080/14656566.2024.2408375 | DOI Listing |
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Instituto de Estudos em Saúde Coletiva, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil.
This study aimed to evaluate the overall excess mortality and COVID-19 mortality in the regions of Brazil, in 2020, by sex and age group. An ecological study was carried out to calculate the overall excess mortality, by sex and age group, using the expected number of deaths in a non-pandemic context and the deaths observed in 2020. Data on deaths were extracted from the Brazilian Mortality Information System, in addition to population data from the Brazilian Institute of Geography and Statistics.
View Article and Find Full Text PDFSelf-harm in the two years of greatest restrictions during the covid-19 pandemic: a cross-sectional study.
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Universidade Federal de São Paulo. São Paulo, São Paulo, Brazil.
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Universidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brazil.
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Dynamics and triggers of misinformation on vaccines.
PLoS One
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Centro Ricerche Enrico Fermi, Rome, Italy.
The Covid-19 pandemic has sparked renewed attention to the risks of online misinformation, emphasizing its impact on individuals' quality of life through the spread of health-related myths and misconceptions. In this study, we analyze 6 years (2016-2021) of Italian vaccine debate across diverse social media platforms (Facebook, Instagram, Twitter, YouTube), encompassing all major news sources-both questionable and reliable. We first use the symbolic transfer entropy analysis of news production time-series to dynamically determine which category of sources, questionable or reliable, causally drives the agenda on vaccines.
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J Clin Endocrinol Metab
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Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
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