PREDICTIVE MODEL FOR THE SOCIOECONOMIC DETERMINANTS OF TUBERCULOSIS AMONG THE INDIGENOUS POPULATION OF THE STATE OF PARÁ, BRAZIL
DOI:
https://doi.org/10.5380/ce.v24i0.64835Keywords:
Tuberculosis, indigenous population, social conditions, health information system, logistic models.Abstract
Objective: develop a model that is able to identify the correlation between socioeconomic
determinants and incidence of tuberculosis in the indigenous population of the state of Pará.
Method: quantitative analytical study, which built a predictive model using Poisson regression
for 285 new cases reported in the Notifiable Diseases Information System, from January 2010
to December 2015, in the state of Pará.
Results: the model confirmed that 86% of the total number of new cases can be explained by
the variables: receipt of social benefits from the government, income, education and sex. The
first variable was considered the most significant with p<0.10.
Conclusion: the predictive model is useful as a support for making decisions, since it enables
focusing tuberculosis control actions on individuals at greater risk: indigenous men, with no
education, who do not receive social benefits.
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