Introduction: The SARS-CoV-2/COVID-19 pandemic has triggered the need to develop rapidly effective and safe vaccines to prevent infection, particularly in those at-risk populations such as medical personnel. This study’s objective was to assess the perception of COVID-19 vaccination amongst Colombian physicians featuring two different scenarios of COVID-19 vaccination. Methods: A cross-sectional analytical study was carried out through an online survey directed at medical staff in several cities in Colombia. The percentage of physicians who have a positive perception to be vaccinated and the associated factors that determine that decision were determined. A binomial regression analysis adjusted for age and sex was carried out, taking as a dependent variable the acceptance of free vaccination with an effectiveness of 60 and 80%. The most significant factors were determined in the non-acceptance of vaccination. Results: Between 77.0% and 90.7% of physicians in Colombia accept COVID-19 vaccination, according to the scenario evaluated where the vaccine’s effectiveness was 60 or 80%, respectively. Medical specialty, having never paid for a vaccine, recommending the administration of the vaccine to their parents or people over 70 years, and dispensing the vaccine to their children, were the factors to consider to be vaccinated for free with an effectiveness of 60% and 80%. Conclusions: There is a high perception of the intention to vaccinate physicians in Colombia against COVID-19, and this is very similar to that of the general population.
The inverse association we found suggests that the higher the levels of vitamin D the lesser the probability of developing preeclampsia, in spite of the heterogeneity of the global measurement in this type of analysis.
Background: COVID-19 diagnosis is a critical problem, mainly due to the lack or delay in the test results. We aimed to obtain a model to predict SARS-CoV-2 infection in suspected patients reported to the Brazilian surveillance system. Methods: We analyzed suspected patients reported to the National Surveillance System that corresponded to the following case definition: patients with respiratory symptoms and fever, who traveled to regions with local or community transmission or who had close contact with a suspected or confirmed case. Based on variables routinely collected, we obtained a multiple model using logistic regression. The area under the receiver operating characteristic curve (AUC) and accuracy indicators were used for validation. Results: We described 1468 COVID-19 cases (confirmed by RT-PCR) and 4271 patients with other illnesses. With a data subset, including 80% of patients from Sao Paulo (SP) and Rio Janeiro (RJ), we obtained a function which reached an AUC of 95.54% (95% CI: 94.41% -96.67%) for the diagnosis of COVID-19 and accuracy of 90.1% (sensitivity 87.62% and specificity 92.02%). In a validation dataset including the other 20% of patients from SP and RJ, this model exhibited an AUC of 95.01% (92.51% -97.5%) and accuracy of 89.47% (sensitivity 87.32% and specificity 91.36%). Conclusion: We obtained a model suitable for the clinical diagnosis of COVID-19 based on routinely collected surveillance data. Applications of this tool include early identification for specific treatment and isolation, rational use of laboratory tests, and input for modeling epidemiological trends.
Objective COVID‐19 diagnosis is a critical problem, mainly due to the lack or delay in the test results. We aimed to obtain a model to predict SARS‐CoV‐2 infection in suspected patients reported to the Brazilian surveillance system. Methods We analysed suspected patients reported to the National Surveillance System that corresponded to the following case definition: patients with respiratory symptoms and fever, who travelled to regions with local or community transmission or who had close contact with a suspected or confirmed case. Based on variables routinely collected, we obtained a multiple model using logistic regression. The area under the receiver operating characteristic curve (AUC) and accuracy indicators were used for validation. Results We described 1468 COVID‐19 cases (confirmed by RT‐PCR) and 4271 patients with other illnesses. With a data subset including 80% of patients from Sao Paulo (SP) and Rio Janeiro (RJ), we obtained a function which reached an AUC of 95.54% (95% CI: 94.41–96.67%) for the diagnosis of COVID‐19 and accuracy of 90.1% (sensitivity 87.62% and specificity 92.02%). In a validation dataset including the other 20% of patients from SP and RJ, this model exhibited an AUC of 95.01% (92.51–97.5%) and accuracy of 89.47% (sensitivity 87.32% and specificity 91.36%). Conclusion We obtained a model suitable for the clinical diagnosis of COVID‐19 based on routinely collected surveillance data. Applications of this tool include early identification for specific treatment and isolation, rational use of laboratory tests, and input for modelling epidemiological trends.
Introdução: Diante dos prejuízos que a deficiência auditiva traz para a percepção da fala, é fundamental realizar avaliação da percepção da fala visando o aprimoramento de novas tecnologias e estratégias terapêuticas. Objetivo: Estabelecer relações entre capacidade auditiva e desempenho em tarefas de percepção da fala em crianças com deficiência auditiva. Método: Foram estabelecidos os Índices de Inteligibilidade de Fala (SII) para sinais de entradas de 55 e 65 dBNPS de 17 crianças entre cinco e dezessete anos, com perda auditiva neurossensorial, usuárias de AASI, com linguagem oral. Foram submetidas à repetição de palavras com e sem sentido em 55 e 65 dBNPS. Para análise, o SII foi relacionado aos resultados obtidos nas listas de palavras. Os sujeitos foram classificados em dois grupos de acordo com os valores de SII 65dB (>=64% e <64%). Resultados: Os sujeitos com SII65dB >=64 apresentaram significativamente melhor desempenho nas tarefas de reconhecimento de palavras com e sem sentido. A mesma tendência foi observada nas listas apresentadas a 55dBNPS. A mediana dos acertos nas listas apresentou diferença significante e foi considerada equivalente. A diferença entre os grupos quanto à consistência de uso do AASI foi significativa para o SII 55dB. Conclusão: Devem ser consideradas outras variáveis intervenientes no desempenho em tarefas de percepção de fala, na busca das variáveis que mais afetam as habilidades auditivas. O número reduzido de sujeitos neste estudo limitou a possibilidade de análise comparativa e a identificação de possíveis fronteiras nos valores de SII 65dB associados a habilidades de percepção de fala.
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