Panorama das internações por covid-19 entre pessoas idosas residentes em Minas Gerais, Brasil / Overview of hospitalizations for covid-19 among aged individuals residing in Minas Gerais, Brazil

Resumo Objetivo caracterizar as internações por covid-19, no período de março de 2020 a março de 2022, entre pessoas idosas residentes em Minas Gerais, Brasil, segundo distribuição geográfica, dados sociodemográficos, clínicos e epidemiológicos e de atendimento. Método estudo quantitativo e descritivo realizado com dados sociodemográficos, clínicos, epidemiológicos e de atendimento, do Banco de Dados de Síndrome Respiratória Aguda Grave - incluindo dados da covid-19. Foram consideradas 102.029 internações por covid-19 em pessoas idosas Resultados em 196 dos 853 municípios de Minas Gerais, a incidência foi elevada (3.098 a 8.916 casos por 100.000 habitantes). Houve predomínio de internações em pessoas idosas do sexo masculino (50,7%), entre 60├70 anos (39,0%), pardas (41,6%), com 1ª a 5ª série (17,6%) e que apresentavam fatores de risco/comorbidade (54,0%), dispneia e saturação de oxigênio <95% (72,8%, cada). Referente aos dados de atendimento, uma parcela necessitou de internação em UTI (34,0%), suporte ventilatório não invasivo (54,1%) e apresentou Raio-X com infiltrado intersticial (20,4%). Embora a cura tenha sido o desfecho mais frequente (55,6%), destaca-se que 41,8% das pessoas idosas foram a óbito. Conclusão o estudo mostrou que existem áreas de Minas Gerais com maior número de casos, que precisam ser monitoradas, fornecendo ênfase na atenção aos subgrupos de pessoas idosas do sexo masculino, mais jovens, pardas, com menor escolaridade e fatores de risco/comorbidades, além daqueles com sinais e sintomas indicativos de gravidade clínica.

Abstract Objective To characterize hospitalizations for covid-19 among aged individuals residing in Minas Gerais, Brazil, from March 2020 to March 2022, with a focus on geographical distribution, sociodemographic, clinical, epidemiological, and care data. Method This quantitative and descriptive study used sociodemographic, clinical, epidemiological, and care data from the Severe Acute Respiratory Syndrome Database, including covid-19-related data. A total of 102,029 hospitalizations of aged individuals for covid-19 were analyzed for descriptive purposes and mapping the incidence by municipality and macro-region. Results High incidence was observed in 196 of the 853 municipalities in Minas Gerais, ranging from 3,098 to 8,916 cases per 100,000 inhabitants. Hospitalizations were predominantly male (50.7%), aged 60-70 years (39.0%), of mixed race (41.6%), with 1st to 5th grade education (17.6%), and presenting risk factors or comorbidities (54.0%). Common symptoms included dyspnea and oxygen saturation below 95% (72.8% each). Regarding care data, a portion of patients required intensive care unit admission (34.0%), non-invasive ventilatory support (54.1%), and presented interstitial infiltrates in chest X-rays (20.4%). Although most cases resulted in recovery (55.6%), it is noteworthy that 41.8% of hospitalized aged individuals died. Conclusion This study highlights the existence of areas in Minas Gerais with a higher incidence of covid-19 cases that require ongoing monitoring, with a focus on the care of subgroups of aged individuals who are male, younger, of mixed race, have lower educational attainment, and have risk factors or comorbidities. Additionally, special attention is needed for aged individuals with signs and symptoms indicative of clinical severity.

Utilizing prospective space-time scan statistics to discover the dynamics of coronavirus disease 2019 clusters in the State of São Paulo, Brazil

ABSTRACT Background: The number of deaths and people infected with coronavirus disease 2019 (COVID-19) in Brazil has steadily increased in the first few months of the pandemic. Despite the underreporting of coronavirus cases by government agencies across the country, São Paulo has the highest rate among all Brazilian states. Methods: To identify the highest-risk municipalities during the initial outbreak, we utilized daily confirmed case data from official reports between February 25 and May 5, 2020, which were aggregated to the municipality level. A prospective space-time scan statistic was conducted to detect active clusters in three different time periods. Results: Our findings suggest that approximately 4.6 times more municipalities belong to a significant space-time cluster with a relative risk (RR) > 1 on May 5, 2020. Conclusions: Our study demonstrated the applicability of the space-time scan statistic for the detection of emerging clusters of COVID-19. In particular, we identified the clusters and RR of municipalities in the initial months of the pandemic, explaining the spatiotemporal patterns of COVID-19 transmission in the state of São Paulo. These results can be used to improve disease monitoring and facilitate targeted interventions.

Distribuição espacial de idosos segundo acesso aos serviços de saúde em Uberaba - MG / Spatial distribution of elderly according to access to health care in Uberaba, State of Minas Gerais

O presente estudo teve como objetivo verificar a relação espacial do acesso com a distância dos serviços de saúde no município, considerando o número de morbidades e a renda. Trata-se de inquérito domiciliar transversal realizado com 680 idosos comunitários de Uberaba-MG. Foi construído um banco de dados eletrônico no programa Excel e utilizados: instrumento para caracterização sociodemográfica e morbidades; Miniexame do Estado Mental (MEEM); e acesso aos serviços de saúde. Procederam-se às análises descritivas por meio do programa Statistical Package for Social Sciences (SPSS), versão 21.0. A análise espacial foi feita no software ArcGIS 10.6. A busca pelo posto de saúde ocorre preferencialmente por homens (23,4%); idade de 60├70 anos (27,1%); e separados (38,4%); e a busca por consultório particular é predominante em mulheres (29,4%); idosos mais velhos (32,2%); e sem companheiro (36,2%). Não houve correlação espacial entre a distância e o número de morbidades e a renda de idosos. Conclui-se que há necessidade de repensar o acesso dessa população aos serviços de saúde públicos, considerando as áreas menos favorecidas dada a distância dos pontos de atenção à saúde e residência dos idosos.

This study aimed to analyze the spatial relationship between access to and distance from health services in the municipality, considering the number of morbidities and income. This was a cross-sectional household survey with 680 elderly community members from Uberaba, State of Minas Gerais. An electronic database was built using the Excel software. Instrument for sociodemographic characterization and morbidities, Mini Mental State Examination, and access to health services were used. Descriptive analyses were performed using the GNU PSPP Statistical Analysis Software (PSPP). For spatial analysis, the analyses were performed using ArcGIS 10.6 software. The search for the health unit occurs preferentially by men (23.4%); 60├70 years (27.1%); and separated (38.4%). The search for private practice predominated in women (29.4%); older elderly (32.2%); and without a partner (36.2%). There was no spatial correlation between distance and the number of morbidities and the income of the elderly. It was concluded that there is a need to rethink the access of this population to public health services, considering the less favored areas given the distance from the health units and residence of the elderly.