The present study aimed to: analyze the knowledge about HIV/AIDS and the sexuality experiences of elderly users who attend a coexistence group at a Primary Health Care (PHC) in Belém, PA. It was an evaluative investigation with a group of elderly users of a PHC, evaluating their knowledge about HIV/AIDS with the application of the HIV/AIDS Questionnaire for the Elderly (QHIV3I) followed by the use of the focus group technique to explore the experiences of their sexuality. As a result, the comparison of data obtained on knowledge of HIV/AIDS and experiences of sexuality among the elderly, proved to be incongruous. This finding leads us to conclude that just having knowledge does not mean changing safe sex behavior to prevent HIV/AIDS, implying for the near future, in-depth studies of educational strategies that promote behavioral changes to prevent HIV/AIDS and other Sexual Transmited Infections among the elders.
Objective: To present a script script to use the RStudio software for decomposition of time series in epidemiological studies using the R language. Materials and methods: The data used in this study to demonstrate the applicability of the R environment in the analysis and decomposition of time series were extracted from DATASUS, and composed of data on mortality from infectious diseases in Brazil and in the North Region, considering deaths by residence, from 1996 to 2019. The data were analyzed using the R language through the RStudio software Version 2022.02.1 . Results: Time series were analyzed using the R language and decomposed into their trend, seasonality and noise components. The seasonality graphs were isolated to understand the variation in the behavior of mortality from infectious diseases in the North Region when compared to data from Brazil distributed in the months of the year. Conclusion: Using RStudio, it was possible to analyze and decompose a large volume of data to build a 25-year time series, subdivided into monthly periods. Allowing the customization of graphic elements and their plotting.
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