Spatial pattern and temporal trend of mortality due to tuberculosis

ABSTRACT Objectives: To describe the epidemiological profile of mortality due to tuberculosis (TB), to analyze the spatial pattern of these deaths and to investigate the temporal trend in mortality due to tuberculosis in Northeast Brazil. Methods: An ecological study based on secondary mortality dat...

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Главные авторы: Ana Angélica Rêgo de Queiroz (Автор), Thaís Zamboni Berra (Автор), Maria Concebida da Cunha Garcia (Автор), Marcela Paschoal Popolin (Автор), Aylana de Souza Belchior (Автор), Mellina Yamamura (Автор), Danielle Talita dos Santos (Автор), Luiz Henrique Arroyo (Автор), Ricardo Alexandre Arcêncio (Автор)
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Опубликовано: Universidade de São Paulo, 2018-05-01T00:00:00Z.
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Итог:ABSTRACT Objectives: To describe the epidemiological profile of mortality due to tuberculosis (TB), to analyze the spatial pattern of these deaths and to investigate the temporal trend in mortality due to tuberculosis in Northeast Brazil. Methods: An ecological study based on secondary mortality data. Deaths due to TB were included in the study. Descriptive statistics were calculated and gross mortality rates were estimated and smoothed by the Local Empirical Bayesian Method. Prais-Winsten's regression was used to analyze the temporal trend in the TB mortality coefficients. The Kernel density technique was used to analyze the spatial distribution of TB mortality. Results: Tuberculosis was implicated in 236 deaths. The burden of tuberculosis deaths was higher amongst males, single people and people of mixed ethnicity, and the mean age at death was 51 years. TB deaths were clustered in the East, West and North health districts, and the tuberculosis mortality coefficient remained stable throughout the study period. Conclusions: Analyses of the spatial pattern and temporal trend in mortality revealed that certain areas have higher TB mortality rates, and should therefore be prioritized in public health interventions targeting the disease.
Примечание:1518-8345
10.1590/1518-8345.2049.2992