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1.
Medicine (Baltimore) ; 101(38): e30246, 2022 Sep 23.
Article in English | MEDLINE | ID: mdl-36197209

ABSTRACT

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.


Subject(s)
COVID-19 , COVID-19/epidemiology , Comorbidity , Humans , Prevalence , SARS-CoV-2
2.
PLoS One ; 17(9): e0268169, 2022.
Article in English | MEDLINE | ID: mdl-36136969

ABSTRACT

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.


Subject(s)
COVID-19 , Brazil/epidemiology , COVID-19/epidemiology , Humans , Pandemics , SARS-CoV-2 , Time Factors
3.
Medicine (Baltimore) ; 101(1): e28508, 2022 Jan 07.
Article in English | MEDLINE | ID: mdl-35029908

ABSTRACT

ABSTRACT: Studies have shown that a new demographic and epidemiological profile has been emerging in women of childbearing age, mainly due to the increase in life expectancy, reduction in infant mortality, higher survival in old age, and the drop in fertility rate.To evaluate the external (violence) causes of mortality among women in Brazil from 2007 to 2016.This is a quantitative, ecological study of temporal trends and correlations of the main causes of mortality of women of childbearing age and their association with age, from 2007 to 2016 in Brazil. The collected data were extracted from the Departamento de Informática do Sistema Único de Saúde database called the Mortality Information System.It was possible to identify a considerable increase among the Brazilian states, with the highest coefficient of mortality from external causes, especially the northern regions. The highest coefficient identified among the evaluated states was 3.57 per 10,000, and in the northeast and southeast, external causes mainly affected young women aged 10 to 29 years.It is necessary for managers and health professionals to be more aware of the diseases that affect this population.


Subject(s)
Life Expectancy , Mortality , Women's Health , Adolescent , Adult , Brazil/epidemiology , Causality , Cause of Death , Child , Female , Humans , Middle Aged , Violence , Young Adult
4.
Medicine (Baltimore) ; 100(44): e27118, 2021 Nov 05.
Article in English | MEDLINE | ID: mdl-34871202

ABSTRACT

ABSTRACT: 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.


Subject(s)
Breast Feeding , Maternal Health Services , Maternal Health , Prenatal Care , Brazil/epidemiology , Breast Feeding/statistics & numerical data , Breast Feeding/trends , Child , Female , Health Status Indicators , Humans , Maternal Health Services/statistics & numerical data , Maternal Health Services/trends , Maternal Mortality , Pregnancy , Prenatal Care/statistics & numerical data , Prenatal Care/trends , Time Factors
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