In addition to the maternal death indicator, Stork Network proposes the number of prenatal consultations, the gestational age of onset of prenatal care and the number of children breastfeeding.The study aims to analyze maternal health indicators representative of the actions proposed by Stork Network in Brazil, after its implementation. Therefore, this is an ecological study of maternal health indicators in Brazil from 2012 to 2017.Thus, it was found that the number of prenatal consultations per pregnant woman in Brazil from 2012 to 2017 increased >4 times between the first and the last year analyzed. The proportion of pregnant women who started prenatal care in the first trimester of pregnancy increased progressively each year in Brazil.The breastfeeding coefficient also increased progressively between 2014 and 2017 in Brazil. It was found that maternal health indicators improved between 2012 and 2017 in the Brazilian territory.

Background: In December 2019, a new disease, coronavirus disease (COVID-19), emerged, which put several countries on a state of alert. Because it is a novel virus, several aspects and factors that contribute to the evolution of pathogenesis are still unknown and need to be better understood. Therefore, a systematic review is necessary to investigate the association between COVID-19 infection and chronic nontransmissible disease in patients who have died of COVID-19.Methods: This was a systematic review of the literature for observational studies published between December 2019 and September 2020. The protocol for this systematic review was registered in the International prospective register of systematic reviews (PROSPERO) under the number CRD42020176249.Results: In the 31 studies analyzed, a total of 421,872 (100%) patients were infected with COVID-19, and, of these, 45,399 (10.8%) died. The 3 most prevalent comorbidities were hypertension, diabetes mellitus, and respiratory diseases, respectively. The cure/recovery rate was 89.2% (376,473). Conclusion:This review revealed a high percentage of comorbidities in the patients with COVID-19, especially those who died.

The World Health Organization declared, at the end of 2019, a pandemic caused by SARS-CoV-2, a virus that causes Coronavirus Disease—COVID-19. Currently, Brazil has become the epicenter of the disease, registering approximately 345 thousand deaths. Thus, the study has scientific relevance in health surveillance as it identifies, quantifies and monitors the main behavioral patterns of the mortality rate due to COVID-19, in Brazil and in their respective regions. In this context, the study aims to assess the epidemiological behavior of mortality due to COVID-19 in Brazil: a time series study, referring to the year 2020. This is an ecological time series study, constructed using secondary data. The research was carried out in Brazil, having COVID-19 deaths as the dependent variable that occurred between the 12th and 53rd Epidemiological Week of 2020. The independent variable will be the epidemiological weeks. The data on deaths by COVID-19 were extracted in February 2021, on the Civil Registry Transparency Portal. The cleaning of the database and the information were treated in the Microsoft Excel® Software and, for statistical analysis, the JoinPoint software, version 4.7.0.0 was used. It was observed that Brazil presents an upward curve between the 12th and 19th SE, when it reaches saturation at the peak of mortality, which remains until the 35th SE and, subsequently, a downward curve was identified until the 47th SE, period in the which curve turns back up.

Brazil is experiencing the greatest episode of sanitary collapse ever known in the country’s history. Therefore, the relevance of this study is highlighted for the scientific advance of the epidemiological behavior of the virus in Brazil, enabling the development of analyses and discussions on the factors that influenced the high rates of contamination by SARS-CoV-2 in the country. Given the above, this study aims to analyze the epidemiological behavior of the COVID-19 contamination curve by epidemiological weeks (EW), in the years 2020–2021, in Brazil. This is an ecological study of time series, prepared using information collected through secondary means. The country of origin of the study is Brazil, and its main theme is the number of people infected during the COVID-19 pandemic, this being the dependent variable of the study. The data has been analyzed from February 23, 2020, when the first case was confirmed in Brazil, to January 1, 2022. In 2021, the country’s graph shows an exponential growth, reaching a peak of approximately 250 new cases per 100,000 inhabitants in the 12th EW. This data represents the highest rate of the pandemic in Brazil, and did not vary significantly for the next twelve weeks. Thus, it was identified that Brazil was severely impacted by the new coronavirus, considering the high rates of confirmed cases of the virus in the country, the low adherence of the population to preventive measures, the late start of mass vaccination in the Brazilian population, and the lack of structure in the health system, which was not appropriately prepared for the high demand generated by COVID-19.

The Brazil is experiencing the greatest episode of sanitary collapse ever known in the country’s history. Therefore, the relevance of this study is highlighted for the scientific advance on the epidemiological behavior of the virus in Brazil, enabling the development of analyses and discussions on the factors that influenced the high rates of contamination by SARS-CoV-2 in the country. Given the above, the study in question aims to analyze the epidemiological behavior of the contamination curve by COVID-19 by epidemiological week (EW), in the years 2020-2021, in Brazil. This is an ecological study of time series, prepared using information collected through secondary means. The country of origin of the study is Brazil, and its main theme is the number of those infected during the pandemic of COVID-19, this being the dependent variable of the study. The data been analyzed from February 23, 2020, when the first case was confirmed in Brazil, to January 1, 2022. In 2021, the country’s graph shows an exorbitant growth, reaching a peak of approximately 250 new cases per 100,000 inhabitants in the 12th EW. This data became the highest rate of the pandemic in Brazil, and did not vary significantly for the next twelve weeks. Thus, it was identified that Brazil was severely impacted by the new coronavirus, considering the high rates of confirmed cases of the virus in the country, the low adhesion of the population to preventive measures, the late start of mass vaccination in the Brazilian population, and the lack of structure in the health system, which was not properly prepared for the high demand generated by COVID-19.