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Background: Viral meningitis is a neuroinfection that presents neurological alterations that usually evolve benignly. In Brazil, during the last decade, the disease caused 30,731 admissions and 1,048 deaths. Objectives: Analyze the number of hospital admissions for Viral Meningitis, between from 2011 to 2021 in all the regions of Brazil. Design and setting: Study realized using data from the Department of Information of the Brazilian Health System (DATASUS). The variables researched were hospitalizations, deaths, age, gender, race e Brazilian regions. Results: The regions with the highest number of admissions for viral meningitis are the Southeast (42.51%), followed by the Northeast (24.07%) and the South region (22.10%).It was observed that, in all age groups analyzed, males constitute the majority of admissions (58%). In terms of race, 37.51% were white and 28.41% were brown. In the case of deaths (1,048 in total), men were the majority. The mean length of hospital stay was 7.4 days and the average cost was R $1,119.07. Conclusion: Male, white, and aged between 1 and 4 years old are the characteristics that form the profile of the patient frequently hospitalized for Viral Meningitis. The region of Brazil with the highest number of admissions was in the Southeast and the one with the lowest was the North region. Regarding the number of deaths, it is higher in males.

Background: Spina bifida is a birth defect not fully understood, which suggests the association of genetic factors with environmental factors as possible causes. Objectives: To analyze the epidemiological data of Spina Bifida in the period from 2010 to 2019 in Brazil. Design and setting: Descriptive cross-sectional epidemiological study with patients with Spina Bifida in Brazil between 2010 and 2019. Methods: Study realized using data from the Department of Information of the Brazilian Health System (DATASUS). The data used were classification, sex, ethnicity, Regions of Brazil, mother’s age and adequacy to prenatal care. Results: In this period, there were 10,309 cases of spina bifida and a record of 229 deaths. In classification criteria, a non-specific spina bifida predominated, corresponding to 74.3%. The greatest number of hospitalizations occurs in children under 1 year of age. At maternal age, cases of spina bifida prevailed in mothers aged 15 to 29 years. Regarding prenatal, 36.91% were considered more than adequate. The Northeast is the region with the most reports of spina bifida cases in the country. In relation to sex, girls are followed up similarly to boys. The black race and the white count the majority of cases. Conclusion: The profile of anomalous patients is brown skin and less than 1 year old of both sexes and children of mothers aged between 15 and 29 years. Spina Bifida unspecified is the most frequent.

Background: Parkinson’s is a neurodegenerative and progressive disease, with an unknown origin that can lead to functional incapacity and decreased quality of life. Objectives: Analyze the number of hospital admissions for Parkinson’s Disease in the Southeast of Brazil. Design and setting: Transversal, descriptive Epidemiologic study between the years of 2011 and 2020 in the Southeast of Brazil. Methods: Study realized using data from the Department of Information of the Brazilian Health System (DATASUS). The variables researched were hospital admissions, age, and year. Results: In the Southeast region, in the determined period, there was an average of 405 hospital admissions per year, an average growth of 4% between the years of 2011 and 2019. However, in 2020, there was a 30% decrease compared to the previous year. It was also observed that in the gap ages between 40 to 49 and 50 to 59 years old, there was a significant increase in the number of hospital admissions. In addition, the age gap between 50 to 80 or more represents an average of 90.88% of all the hospital admissions of the last decade. Conclusion: In the Southeast of Brazil, Parkinson’s Disease had a noticeable absolute reduction of the total admissions analyzed in the last year and a deviation in the average growth of the other years, meaning a possible relation with the COVID-19 pandemic.

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