Coinfecção Tuberculose - HIV: Análise Espacial e Perfil Epidemiológico no Rio Grande do Norte: 10.15343/0104-7809.202145481492
Dayvison Nascimento de Oliveira, Bárbara Coeli Oliveira da Silva, Ana Angélica Rêgo de Queiroz, Rafaela Cavalcanti de Albuquerque Nascimento, Vanessa Pinheiro Barreto, Alexsandra Rodrigues Feijão
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2022-02
Abstract
Given the epidemiological relevance of tuberculosis and human immunodeficiency virus (TB-HIV) coinfection and the scarcity of recent data analysis provided by the Notifiable Diseases Information System, it is essential to analyze the spatial distribution of TB-HIV coinfection in the state of Rio Grande do Norte. Thus, this study aimed to analyze the spatial distribution and epidemiological profile of TB-HIV co-infection cases between 2001 and 2018 in the state of Rio Grande do Norte, Brazil. This is an ecological study whose population was of confirmed cases of TB-HIV co-infection between the years 2001 to 2018 in the state of Rio Grande do Norte. Data were obtained from the Informatics Department of the Unified Health System, from the Notifiable Diseases Information System, which were tabulated in Microsoft Excel and analyzed using descriptive statistics. For the spatial analysis, the TerraView software was used to calculate the Global Moran Index and then the Local Moran Index. Between 2001 and 2018 there were 1,576 confirmed cases of TB-HIV coinfection in the state of Rio Grande do Norte. Of these 1,197 (76%) were males aged between 20 and 39 years (56.47%). The predominant clinical form was pulmonary TB in 1,102 (69.82%) cases. The results obtained showed a positive autocorrelation between the most urbanized cities in the state of Rio Grande do Norte, which are located in health regions I, II, III, and VII. Adult males aged 20-39 years, having an incomplete primary education, and living in urban areas were the most frequent characteristics according to the epidemiological profile of the population. Thus, it is advised that health professionals who serve this population affected by these infections should be trained and have empathy.
MeSH terms
- Epidemiology
- Geography
- Environmental health
- Population
- Coinfection
- Medicine
- Ecological study
- Spatial analysis
- Tuberculosis
- Demography
- Distribution (mathematics)
- Geographic information system