GEOPROCESSING AND SPATIAL ANALYSIS RELATED TO TUBERCULOSIS/HUMAN IMMUNODEFICIENCY VIRUS CO- INFECTION: AN INTEGRATIVE REVIEW: GEOPROCESSING AND SPATIAL ANALYSIS RELATED TO TUBERCULOSIS/HUMAN IMMUNODEFICIENCY VIRUS CO- INFECTION

• Autor(a) principal: Scholze, Alessandro Rolim
• Data de Publicação: 2023
• Outros Autores: Eduarda Lucio de Oliveira , Maria, Cristina Melo , Emiliana, Renata Fagundes, Tatiane, Fordellone Rosa Cruz , Carolina, Cremer, Edivaldo
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Advances in Nursing and Health
• DOI: 10.5433/anh.2023v5.id48194
• Texto Completo: https://ojs.uel.br/revistas/uel/index.php/anh/article/view/48194
• topic: Enfermagem; Tuberculose; HIV; Análise espacial.; Coinfecção pelo HIV;; Enfermería; Tuberculosis; VIH; Infecciones por VIH; Análisis Espacial; Nursing; Tuberculosis; HIV; Spatial Analysis; HIV Infections

Objective: to investigate the scientific evidence regarding geoprocessing techniques and spatial analysis related to tuberculosis/Human Immunodeficiency Virus co-infection. Method: an integrative literature review of published articles, without time and language cuts, with different study designs, available electronically from the Latin American and Caribbean Literature on Health Sciences, Nursing Database, Web of Science, Excerpta Medica DataBASE, and the National Library of Medicine National Institutes of Health databases. It was used as a research question: what is the scientific evidence regarding geoprocessing techniques and spatial analysis related to tuberculosis/Human Immunodeficiency Virus co-infection? The State of the Art through Systematic Review software was used for database management, and data were presented descriptively. Results: the search resulted in 1,837 articles. Of these, ten articles made up the sample. The main techniques used were Moran, spatial scanning and spatial modeling. As for the main characteristics related to tuberculosis/Human Immunodeficiency Virus co- infection, low wealth, precarious access to health, black/brown and indigenous race, low education, women, advanced age with risk of mortality. Conclusion: it is understood that geoprocessing and spatial analysis techniques are extremely important for the identification of areas of spatial risk, in addition to helping in the development of health actions in specific territories, a factor that contributes positively to management and public health.