Mortalidade por COVID-19 padronizada por idade nas capitais das diferentes regiões do Brasil

Silva, Gulnar Azevedo e; Jardim, Beatriz Cordeiro; Lotufo, Paulo A.

doi:10.1590/0102-311x00039221

Cited by 16 publications

(11 citation statements)

References 11 publications

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“…This database is a nationwide surveillance repository of patients hospitalized with severe acute respiratory disease in Brazil [OpenDataSUS 2022]. The data in the SIVEP-Gripe is more reliable than the data present in the civil registry and contains more information about the patients [Silva et al 2021], albeit there are a significant number of sub notification and a lack of standardization on the recording process [Marinho 2021].…”

Section: Covid Datamentioning

confidence: 99%

“…The database only records information about hospitalized patients, precluding a safe generalization for milder disease cases. There is a significant difference between official numbers released by the government and those present in the database [Fiocruz 2021a], being more significant in the north and north-east states [Silva et al 2021]. The media also covered the hospital staff's difficulty using the system that feeds the SIVEP-Gripe database, mainly due to lack of time [Globo 2020].…”

Section: Covid Datamentioning

confidence: 99%

“…They conclude that many comorbidities associated with greater risk in the general population are no longer considered risk factors in vaccinated people. [Silva et al 2021] and [Oliveira et al 2021] also used the SIVEP-Gripe database to analyze COVID-19 in the Brazilian populations but do not consider the vaccination in their studies. [Silva et al 2021] compares the crude mortality rates from COVID-19 with age-standardized rates in the state capitals and Federal District.…”

Section: Introductionmentioning

confidence: 99%

“…[Silva et al 2021] and [Oliveira et al 2021] also used the SIVEP-Gripe database to analyze COVID-19 in the Brazilian populations but do not consider the vaccination in their studies. [Silva et al 2021] compares the crude mortality rates from COVID-19 with age-standardized rates in the state capitals and Federal District. This regional and age-adjusted study shows a significant increase in mortality ratio in the north of Brazil compared to the south and south-east.…”

Section: Introductionmentioning

confidence: 99%

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The Survival Rate Among Unvaccinated, First Dose, and Second Dose Brazilian Hospitalized and ICU COVID Patients by Age Group

Ramos¹,

Ferreira²,

Simão³

2022

Anais Do XXII Simpósio Brasileiro De Computação Aplicada À Saúde (SBCAS 2022)

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Brazil has a nationwide surveillance repository of severe acute respiratory disease for hospitalized patients. This repository has stored data for 1,177,151 hospitalized and ICU COVID-19 patients in 2021. In order to statistically validate the difference in the survival rate among unvaccinated, one dose, and two doses, we preprocess the data, divide it into age groups and between hospitalized and ICU patients. This work presents statistical evidence for hospitalized patients that lethality increase with age and decreases with vaccines, especially with the second dose. We found a significant difference among age groups and between hospitalized and ICU, indicating the need to separate these groups when analyzing lethality and comorbidities.

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Section: Covid Datamentioning

confidence: 99%

Section: Covid Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Survival Rate Among Unvaccinated, First Dose, and Second Dose Brazilian Hospitalized and ICU COVID Patients by Age Group

Ramos¹,

Ferreira²,

Simão³

2022

Anais Do XXII Simpósio Brasileiro De Computação Aplicada À Saúde (SBCAS 2022)

View full text Add to dashboard Cite

show abstract

“…Although the population density (4.78 inh./km 2 ) and concentration (8.8%) in the North region are low, by the end of September 2021, it was responsible for 30.3% of all Brazilian SARS-COV-2 confirmed cases [5]. Moreover, the death risk by standardized rates in the North region capitals was significantly higher [6,7] than in the rest of the country, mainly due to the poor sanitary and social conditions.…”

Section: Introductionmentioning

confidence: 99%

On Comparing Cross-Validated Forecasting Models with a Novel Fuzzy-TOPSIS Metric: A COVID-19 Case Study

et al. 2021

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Time series cross-validation is a technique to select forecasting models. Despite the sophistication of cross-validation over single test/training splits, traditional and independent metrics, such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), are commonly used to assess the model’s accuracy. However, what if decision-makers have different models fitting expectations to each moment of a time series? What if the precision of the forecasted values is also important? This is the case of predicting COVID-19 in Amapá, a Brazilian state in the Amazon rainforest. Due to the lack of hospital capacities, a model that promptly and precisely responds to notable ups and downs in the number of cases may be more desired than average models that only have good performances in more frequent and calm circumstances. In line with this, this paper proposes a hybridization of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and fuzzy sets to create a similarity metric, the closeness coefficient (CC), that enables relative comparisons of forecasting models under heterogeneous fitting expectations and also considers volatility in the predictions. We present a case study using three parametric and three machine learning models commonly used to forecast COVID-19 numbers. The results indicate that the introduced fuzzy similarity metric is a more informative performance assessment metric, especially when using time series cross-validation.

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A Study of the Current Scenario of the Obstetrics and Gynecology Residency during the COVID-19 Pandemic

Sonnenfeld,

Nozaki,

Genova

et al. 2023

Rev Bras Ginecol Obstet

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Objective To analyze the impact of the COVID-19 pandemic on the residency of gynecology and obstetrics in São Paulo. Methods Cross-sectional study developed by representatives of residents of the Association of Gynecology and Obstetrics of the State of São Paulo (SOGESP, in the Portuguese acronym). Data were collected from questionnaires applied to gynecology and obstetrics residents registered on the SOGESP website in February 2022. The interviewees answered about the repercussions of the pandemic on medical residency and whether they had technical and psychological support during the period. Results A total of 247 questionnaires were collected from residents of gynecology and obstetrics. The residents had an age of 28.3 ± 3 years old, and most of them were female (88.4%). The displacement to COVID care was reported by 62.34% of the students, but only 35.6% reported completely adequate personal protective equipment and only 7.7% reported complete theoretical and technical instruction to support these patients. Almost all of the interviewees stated that the gynecology sector was the most affected. The majority of the interviewees considered that the second-year residents had the greatest loss, and more than half of the residents in the 1st and 2nd year said they wished to give up their residency during the pandemic. More than 80% of the residents reported online theoretical classes and/or presentation of articles, reinforcing the fact that virtual activities gained a greater space within the medical residency. Conclusion The pandemic impacted the residency in greater proportion in outpatient clinics and gynecological surgeries, also interfering with the physician's desire to continue with the program.

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Mortalidade por COVID-19 padronizada por idade nas capitais das diferentes regiões do Brasil

Cited by 16 publications

References 11 publications

The Survival Rate Among Unvaccinated, First Dose, and Second Dose Brazilian Hospitalized and ICU COVID Patients by Age Group

The Survival Rate Among Unvaccinated, First Dose, and Second Dose Brazilian Hospitalized and ICU COVID Patients by Age Group

On Comparing Cross-Validated Forecasting Models with a Novel Fuzzy-TOPSIS Metric: A COVID-19 Case Study

A Study of the Current Scenario of the Obstetrics and Gynecology Residency during the COVID-19 Pandemic

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