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Serological screening for Chagas disease in an endemic region of Northern Minas Gerais, Brazil: the SaMi-Trop project.

Dardiane Santos CruzNúbia Nunes de SouzaAline Ferreira RafaelRenata Fiúza DamascenoAntonio Luiz Pinho RibeiroLéa Campos de Oliveira-da SilvaEster Cerdeira SabinoFábio de Rose GhilardiOzorino Caldeira Cruz NetoAriela Ferreira MotaDesirée Sant' Ana HaikalClareci Silva CardosoClaudia Di Lorenzo OliveiraAna Luiza de Souza BierrenbachThallyta Maria Vieira
Published in: Revista do Instituto de Medicina Tropical de Sao Paulo (2021)
Chagas disease (CD) is still a neglected disease. Infected individuals are diagnosed late, being treated in worse clinical conditions. Thus, this study aimed to analyze the prevalence and the factors associated with new confirmed cases of CD identified by serological screening in an endemic region of Minas Gerais State, Brazil. This is an analytical cross-sectional study with data from a project of the Research Center in Tropical Medicine of Sao Paulo- Minas Gerais (SaMi-Trop) conducted in two municipalities. Data collection included a questionnaire with closed questions, a venous blood collection and an ELISA serological test for CD. A total of 2,038 individuals with no previous diagnosis of CD participated in the study. The result of the serological test for CD was adopted as the dependent variable. The independent variables addressed personal issues, health conditions and lifetime housing. A descriptive analysis of individual variables was performed. Subsequently, a bivariate analysis was performed using the Pearson's chi-square test. Households sheltering individuals positive for CD were georeferenced, and the analysis of spatial distribution was performed using the quartic function to estimate the density of the nucleus. Among the participants, 188 (9.2 %) were positive for CD. The profile of participants with CD was associated with place of residence, age, relative/family member with CD and living conditions. It is noteworthy that there are still patients with CD who are unaware of their diagnosis in both, rural and urban areas.
Keyphrases
  • healthcare
  • public health
  • mental health
  • climate change
  • deep learning
  • health information
  • patient reported