Effect of social development in reducing tuberculosis mortality In northeastern Brazil areas

Authors

  • Ana Angélica Rêgo Queiroz Federal University of Rio Grande do Norte. Natal, Rio Grande do Norte, Brazil
  • Thaís Zamboni Berra College Nursing at Ribeirão Preto, University of Sao Paulo. Ribeirão Preto, Sao Paulo, Brazil
  • Alexandre Tadashi Inomata Bruce College Nursing at Ribeirão Preto, University of Sao Paulo. Ribeirão Preto, Sao Paulo, Brazil
  • Maria Concebida da Cunha Garcia College Nursing at Ribeirão Preto, University of Sao Paulo. Ribeirão Preto, Sao Paulo, Brazil
  • Danielle Talita dos Santos College Nursing at Ribeirão Preto, University of Sao Paulo. Ribeirão Preto, Sao Paulo, Brazil
  • Marcos Augusto Moraes Arcoverde State University of Western Paraná. Foz do Iguaçu, Paraná, Brazil
  • Luana Seles Alves College Nursing at Ribeirão Preto, University of Sao Paulo. Ribeirão Preto, Sao Paulo, Brazil
  • Mellina Yamamura College Nursing at Ribeirão Preto, University of Sao Paulo. Ribeirão Preto, Sao Paulo, Brazil
  • Tereza Cristina Scatena Villa College Nursing at Ribeirão Preto, University of Sao Paulo. Ribeirão Preto, Sao Paulo, Brazil
  • Pedro Fredemir Palha College Nursing at Ribeirão Preto, University of Sao Paulo. Ribeirão Preto, Sao Paulo, Brazil
  • Francisco Chiaravalloti-Neto Faculty of Public Health, University of Sao Paulo. Sao Paulo, Sao Paulo, Brazil
  • Ricardo Alexandre Arcêncio College Nursing at Ribeirão Preto, University of Sao Paulo. Ribeirão Preto, Sao Paulo, Brazil

DOI:

https://doi.org/10.3855/jidc.12196

Keywords:

Tuberculosis, Mortality, Social Development, Spatial Analysis

Abstract

Introduction: Tuberculosis (TB) is the primary cause of death among infectious diseases affecting groups in extreme poverty. Social improvements could reverse this situation in Brazil. This study aims to demonstrate the spatial relationship between social development (SD) and TB mortality in Natal, a city in northeastern Brazil.

Methodology: Ecological study. The study population comprised TB deaths recorded in the Mortality Information System between 2008 and 2014. The units of analysis were 59 human development units (HDUs). Raw and smoothed mortality rates were calculated using the global empirical Bayes method. Primary components analysis was used to develop the SD indicators. An association between TB mortality and SD was verified using multiple linear regression analysis. Spatial autocorrelation was verified using models with global spatial effects. Analyses were performed using Statistica version 12.0, ArcGIS version 10.2, Statistical Package for the Social Sciences version 20.0, and OpenGeoDa 1.0.1. The significance level was established at 5% (p < 0.05).

Results: The TB mortality rate with non-random spatial distribution ranged between 0.52 and 8.90 per 100,000 inhabitants. The spatial lag model was chosen because it presented the highest log-likelihood value, lowest AIC, and highest R2. A negative association was found between TB mortality and SD (R2 = 0.207; p = 0.03).

Conclusions: The results show a negative association between TB mortality and the high SD indicator. This study can support decision-making in terms of collective projects within public health in order to link the health field to other sectors, aiming for social well-being and human development.

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Published

2020-08-31

How to Cite

1.
Rêgo Queiroz AA, Zamboni Berra T, Inomata Bruce AT, da Cunha Garcia MC, dos Santos DT, Moraes Arcoverde MA, Seles Alves L, Yamamura M, Scatena Villa TC, Fredemir Palha P, Chiaravalloti-Neto F, Arcêncio RA (2020) Effect of social development in reducing tuberculosis mortality In northeastern Brazil areas. J Infect Dev Ctries 14:869–877. doi: 10.3855/jidc.12196

Issue

Vol. 14 No. 08: August 2020

Section

Original Articles

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