SciELO - Scientific Electronic Library Online

 
vol.29 issue5Family Health Strategy and determinants of directly observed treatment for tuberculosis in Brazil: a cross-sectional study with surveillance system data, 2014-2016Characterization of notifications of exogenous pesticide poisoning in Rio Grande do Sul, Brazil, 2011-2018 author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Epidemiologia e Serviços de Saúde

Print version ISSN 1679-4974On-line version ISSN 2237-9622

Abstract

ARIDJA, Ursila Manga et al. Tuberculosis cases with post-mortem notification in Brazil, 2014: a descriptive study based on surveillance data. Epidemiol. Serv. Saúde [online]. 2020, vol.29, n.5, e2020060.  Epub Nov 25, 2020. ISSN 1679-4974.  http://dx.doi.org/10.1590/s1679-49742020000500014.

Objective:

To characterize tuberculosis cases notified at post-mortem in Brazil in 2014.

Methods:

This is a descriptive study of tuberculosis cases notified at post-mortem. Data resulted from linkage of the Notifiable Health Conditions Information System-TB (SINAN-TB) and the Mortality Information System (SIM), and were described according to underlying cause of death: tuberculosis, AIDS and other.

Results:

In the 2,703 tuberculosis cases notified at post-mortem, a higher proportion was found of people of the male sex (73.5%), aged over 39 (80.8%), <8 years of schooling (66.5%), of Black and brown race/skin color (62.8%), with the pulmonary clinical form of tuberculosis (75.2%); there was also a higher proportion of cases notified by the public health service (57.6%) and in municipalities with HDI-M >0.7 (66.6%).

Conclusion:

The characteristics described of people with post-mortem notification and the magnitude of this outcome suggest weaknesses in tuberculosis care and surveillance services.

Keywords : Tuberculosis; Disease Notification; Epidemiology, Descriptive; Mortality; Information Systems.

        · abstract in Portuguese | Spanish     · text in English | Portuguese     · English ( pdf ) | Portuguese ( pdf )