[Analysis of the performance of public and private hospitals serving the Brazilian Unified National Health System].

This article aims to analyze the performance of the Brazilian Unified National Health System (SUS, acronym in Portuguese) hospital network based on the national databases of the Brazilian Hospital Information System (SIH, acronym in Portuguese) and the Brazilian National Registry of Health Establishments (CNES, acronym in Portuguese). The research used a set of indicators covering the production of admissions, the profile, quality and performance of care, associated with hospital size and legal nature. For data analysis, the Analysis of Variance with Tukey-Kramer test was used to highlight the differences between public and private hospitals, the moderation analysis to verify the effect of hospital size and the Pabon Lasso model to integrate the results.

Patients' Nonattendance in Outpatient Specialist Consultations: A National Cohort Analysis of a Health System.

Background: Analyzing patients' nonattendance at medical appointments helps address an issue impacting the management and sustainability of health systems globally, providing valuable insights for healthcare managers. This study aims to identify factors at both patient and health system levels that contribute to understanding missed appointments.

Methods: The analysis was conducted using data from secondary care consultations within the Brazilian Unified Health System between April 2018 and March 2020.

Covid-19 impacts: Ethnic and regional inequalities in sickle cell disease patient care in Brazil.

Brazil is a continental country with significant socioeconomic and ethnic inequalities. It is important to understand how these differences are reflected in health care, especially during the COVID-19 pandemic. We investigated the potential impacts of the reduced number Transcranial Doppler Ultrasound (TCD) tests performed in Brazil during the COVID-19 pandemic, and its reflections according to region and race/color for patients with Sickle Cell Disease (SCD).

Social, Economic, and Regional Determinants of Mortality in Hospitalized Patients With COVID-19 in Brazil.

On May 10, 2021, Brazil ranked second in the world in COVID-19 deaths. Understanding risk factors, or social and ethnic inequality in health care according to a given city population and political or economic weakness is of paramount importance. Brazil had a seriousness COVID-19 outbreak in light of social and economic factors and its complex racial demographics.

Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil.

Objective: This study investigates the spatial differences in the occurrence of COVID-19 in Brazilian Tropical Zone and its relationship with climatic, demographic, and economic factors based on data from February 2020 to May 2021.

Methods: A Linear Regression Model with the GDP per capita, demographic density and climatic factors from 5.534 Brazilian cities with (sub)tropical climate was designed and used to explain the spread of COVID-19 in Brazil.

Mortality and Years of Potential Life Lost Due to COVID-19 in Brazil.

In November 2020, Brazil ranked third in the number of cases of coronavirus disease 2019 (COVID-19) and second in the number of deaths due to the disease. We carried out a descriptive study of deaths, mortality rate, years of potential life lost (YPLL) and excess mortality due to COVID-19, based on SARS-CoV-2 records in SIVEP-Gripe (Ministry of Health of Brazil) from 16 February 2020, to 1 January 2021. In this period, there were 98,025 deaths from COVID-19 in Brazil.

The relationship between (sub)tropical climates and the incidence of COVID-19.

This work explores (non)linear associations between relative humidity and temperature and the incidence of COVID-19 among 27 Brazilian state capital cities in (sub)tropical climates, measured daily from summer through winter. Previous works analyses have shown that SARS-CoV-2, the virus that causes COVID-19, finds stability by striking a certain balance between relative humidity and temperature, which indicates the possibility of surface contact transmission. The question remains whether seasonal changes associated with climatic fluctuations might actively influence virus survival.

The exposure risk to COVID-19 in most affected countries: A vulnerability assessment model.

The world is facing the coronavirus pandemic (COVID-19), which began in China. By August 18, 2020, the United States, Brazil, and India were the most affected countries. Health infrastructure and socioeconomic vulnerabilities may be affecting the response capacities of these countries.

Temperature significantly changes COVID-19 transmission in (sub)tropical cities of Brazil.

The coronavirus disease 2019 (COVID-19) outbreak has become a severe public health issue. The novelty of the virus prompts a search for understanding of how ecological factors affect the transmission and survival of the virus. Several studies have robustly identified a relationship between temperature and the number of cases.

DNA extraction of urinary bladder swabs collected from carbonized and decomposing corpses: Possible application in disaster victim identification.

A disaster is an unexpected event causing death or injury to many people. In such events, a large number of casualties may take place, exposing corpses to a harsh environment for days or months. DNA profiling is recognized as one of the primary methods for identifying mass disaster victims, especially when it involves decomposed or fragmented bodies.