SPATIAL DISTRIBUTION OF PULMONARY TUBERCULOSIS IN URBAN AREAS: A CASE FROM BELEM, BRAZIL

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  • Additional Information
    • Publication Information:
      Universidade Federal Fluminense
    • Publication Date:
      2016
    • Abstract:
      1 Introduction Several cities in non-developed countries have become favorable environments to the spread of respiratory diseases, not only because of the intense presence of solid particles in suspension originating [...]
      The precise location of areas with high incidence of pulmonary tuberculosis (TB) is important to improve public health actions. Official data records of the addresses and neighborhoods where the infected people live allow the mapping of the disease on this spatial scale. However, great socioeconomic diversity often exists inside neighborhoods, wherein high- and low-income families reside. This situation hampers the location of those areas that require close attention. Objective: This study aimed to estimate the risk of pulmonary TB infections in census tracts in Belem City (Brazil) from data on neighborhoods. Methods: A partial least-squares regression model was constructed in the scale of neighborhoods based on the record of addresses of TB-infected people and socioeconomic data from official sources. The model was then slightly modified and used to estimate the risk of TB prevalence in urban census tracts. The results were mapped using a geographical information system. Results: The percentages of explained variance of the set of independent variables and dependent variable were 86.4% and 30.2%, respectively. These values indicated that the model is acceptable for its purpose. Conclusion: The model's results were consistent with the spatial distribution of socioeconomic and environmental characteristics of Belem City. Keywords: Tuberculosis Pulmonary; Urban Population; Public Health. A localizacao precisa das areas com alta incidencia de tuberculose pulmonar (TB) e importante para melhorar as acoes de saude publica. Os dados oficiais registram enderecos e bairros onde moram pessoas infectadas, permitindo o mapeamento da enfermidade nesta escala espacial. Comumente, porem, ha grande diversidade socioeconomica no interior dos bairros, onde coexistem areas com familias de alta e baixa renda. Isso dificulta a localizacao das areas prioritarias para acao. Objetivo: estimar o risco de infeccoes por tuberculose pulmonar (TB) nos setores censitarios na cidade de Belem (PA), a partir de dados por bairros. Metodos: construcao de um modelo de regressao multipla de minimos quadrados parciais, na escala dos bairros, com base no cadastro de enderecos de pessoas infectadas e dados socioeconomicos de fontes oficiais. O modelo, com uma pequena modificacao, foi entao usado para estimar o risco de incidencia de TB nos setores censitarios urbanos. Em seguida, os resultados foram mapeados por meio de um sistema de informacoes geograficas. Resultados: o percentual de variancia explicada do conjunto de variaveis independentes foi de 86,4% e o da variavel dependente, 30,2%; valores que tornam o modelo aceitavel para o fim proposto. Conclusao: o modelo mostrou resultados coerentes com a distribuicao espacial das caracteristicas socioeconomicas e ambientais da cidade de Belem. Palavras-chave: Tuberculose Pulmonar; Populacao Urbana; Saude Coletiva.
    • ISSN:
      2236-0867
    • Accession Number:
      10.18571/acbm.105
    • Rights:
      Copyright 2016 Gale, Cengage Learning. All rights reserved.
      COPYRIGHT 2016 Universidade Federal Fluminense
    • Accession Number:
      edsgcl.531044189
  • Citations
    • ABNT:
      LOBO, M. A. A.; PAIVA NETO, H. D. C.; BELLO, L. A. L. Spatial Distribution of Pulmonary Tuberculosis in Urban Areas: A Case from Belem, Brazil. Acta Biomedica Brasiliensia, [s. l.], n. 2, p. 1, 2016. DOI 10.18571/acbm.105. Disponível em: http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsgea&AN=edsgcl.531044189&authtype=sso&custid=s5834912. Acesso em: 22 out. 2020.
    • AMA:
      Lobo MAA, Paiva Neto HDC, Bello LAL. Spatial Distribution of Pulmonary Tuberculosis in Urban Areas: A Case from Belem, Brazil. Acta Biomedica Brasiliensia. 2016;(2):1. doi:10.18571/acbm.105
    • APA:
      Lobo, M. A. A., Paiva Neto, H. D. C., & Bello, L. A. L. (2016). Spatial Distribution of Pulmonary Tuberculosis in Urban Areas: A Case from Belem, Brazil. Acta Biomedica Brasiliensia, 2, 1. https://doi.org/10.18571/acbm.105
    • Chicago/Turabian: Author-Date:
      Lobo, Marco Aurelio Arbage, Hermogenes De Carvalho Paiva Neto, and Leonardo Augusto Lobato Bello. 2016. “Spatial Distribution of Pulmonary Tuberculosis in Urban Areas: A Case from Belem, Brazil.” Acta Biomedica Brasiliensia, no. 2: 1. doi:10.18571/acbm.105.
    • Harvard:
      Lobo, M. A. A., Paiva Neto, H. D. C. and Bello, L. A. L. (2016) ‘Spatial Distribution of Pulmonary Tuberculosis in Urban Areas: A Case from Belem, Brazil’, Acta Biomedica Brasiliensia, (2), p. 1. doi: 10.18571/acbm.105.
    • Harvard: Australian:
      Lobo, MAA, Paiva Neto, HDC & Bello, LAL 2016, ‘Spatial Distribution of Pulmonary Tuberculosis in Urban Areas: A Case from Belem, Brazil’, Acta Biomedica Brasiliensia, no. 2, p. 1, viewed 22 October 2020, .
    • MLA:
      Lobo, Marco Aurelio Arbage, et al. “Spatial Distribution of Pulmonary Tuberculosis in Urban Areas: A Case from Belem, Brazil.” Acta Biomedica Brasiliensia, no. 2, 2016, p. 1. EBSCOhost, doi:10.18571/acbm.105.
    • Chicago/Turabian: Humanities:
      Lobo, Marco Aurelio Arbage, Hermogenes De Carvalho Paiva Neto, and Leonardo Augusto Lobato Bello. “Spatial Distribution of Pulmonary Tuberculosis in Urban Areas: A Case from Belem, Brazil.” Acta Biomedica Brasiliensia, no. 2 (2016): 1. doi:10.18571/acbm.105.
    • Vancouver/ICMJE:
      Lobo MAA, Paiva Neto HDC, Bello LAL. Spatial Distribution of Pulmonary Tuberculosis in Urban Areas: A Case from Belem, Brazil. Acta Biomedica Brasiliensia [Internet]. 2016 [cited 2020 Oct 22];(2):1. Available from: http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsgea&AN=edsgcl.531044189&authtype=sso&custid=s5834912