Title |
Tuberculose e diabetes: relacionamento probabilístico de bases de dados para o estudo da associação entre ambas doenças
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Published in |
Epidemiologia e Serviços de Saúde, March 2017
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DOI | 10.5123/s1679-49742017000200013 |
Pubmed ID | |
Authors |
Ricardo Gadelha de Abreu, Artur Iuri Alves de Sousa, Maria Regina Fernandes de Oliveira, Mauro Niskier Sanchez, Ricardo Gadelha de Abreu, Artur Iuri Alves de Sousa, Maria Regina Fernandes de Oliveira, Mauro Niskier Sanchez |
Abstract |
to describe the profile of cases of tuberculosis and diabetes comorbidity in Brazil. this is a descriptive study with data from the Brazilian Information System for Notifiable Diseases - tuberculosis (Sinan-TB) and from the System of Registration and Monitoring of Hypertension and Diabetes Mellitus (Hiperdia), from 2007 to 2011; probabilistic linkage was carried out with Reclink software. 24,443 cases of comorbidity were found, including 3,181 cases not registered on Sinan-TB; of the total number of recovered cases, mostly were males (57.2%), aged 40-59 years (52.3%), black/brown-skinned (68.4%), with five to eight years of schooling (78.4%), with no regular use of alcohol (86.5%) and negative serology for the HIV virus (91.8%). the cases found had similar profile to those registered on Sinan-TB and the probabilistic linkage of data from different information systems enabled the detection of cases not captured by surveillance. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 8 | 18% |
Student > Master | 6 | 14% |
Student > Ph. D. Student | 5 | 11% |
Student > Doctoral Student | 3 | 7% |
Other | 2 | 5% |
Other | 6 | 14% |
Unknown | 14 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 32% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 11% |
Nursing and Health Professions | 4 | 9% |
Computer Science | 2 | 5% |
Social Sciences | 1 | 2% |
Other | 3 | 7% |
Unknown | 15 | 34% |