Areas with evidence of equity and their progress on mortality from tuberculosis in an endemic municipality of southeast Brazil

In Brazil, people still fall ill and die from tuberculosis (TB), and this can be explained by the significant impasse in the equity of distribution of therapeutic resources to the population as a whole. The aim was to identify geographical areas which have shown progress in terms of equity (of incom...

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Veröffentlicht in:Infectious diseases of poverty 2017-10, Vol.6 (1), p.134-134, Article 134
Hauptverfasser: Yamamura, Mellina, Santos Neto, Marcelino, Chiaravalloti Neto, Francisco, Arroyo, Luiz Henrique, Ramos, Antônio Carlos Vieira, de Queiroz, Ana Angélica Rêgo, Belchior, Aylana de Souza, Dos Santos, Danielle Talita, Crispim, Juliane de Almeida, Pinto, Ione Carvalho, Uchôa, Severina Alice da Costa, Fiorati, Regina Célia, Arcêncio, Ricardo Alexandre
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Sprache:eng
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Zusammenfassung:In Brazil, people still fall ill and die from tuberculosis (TB), and this can be explained by the significant impasse in the equity of distribution of therapeutic resources to the population as a whole. The aim was to identify geographical areas which have shown progress in terms of equity (of income, schooling and urban occupancy) and test its effect on mortality from TB in a municipality of southeast Brazil. It is an ecological study considering TB as the basic cause for deaths registered between 2006 and 2013 on the Mortality Information System and other variables obtained through the Demographic Census of the Brazilian Institute of Geography and Statistics (2010). The geographical area for analysis comprised the areas of coverage of the health services. Social indicators have been constructed through the Principal Component Analysis (PCA). The cases were geocoded and the annual mortality rate from TB was calculated with smoothing using the local empirical Bayesian method. Multiple linear regression was then performed. There was confirmation of the existence of spatial dependence of residue through the application of the Global Moran I test, and application of the Models with Global Spatial Effects, to identify the best standard of spatial regression. The mortality rates ranged from 0.00 to 2.8 deaths per 100,000 people, per year. In the PCA, three indicators were constructed, and designated as indicators of income, social inequality, and social equity. In multiple linear regression, the indicator of social equity was statistically significant (P 
ISSN:2049-9957
2095-5162
2049-9957
DOI:10.1186/s40249-017-0348-5