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Situação epidemiológica da tuberculose no Rio Grande do Sul: uma análise com base nos dados do Sinan entre 2003 e 2012 com foco nos povos indígenas

Overview of attention for article published in Revista Brasileira de Epidemiologia, September 2016
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2 tweeters

Citations

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33 Mendeley
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Title
Situação epidemiológica da tuberculose no Rio Grande do Sul: uma análise com base nos dados do Sinan entre 2003 e 2012 com foco nos povos indígenas
Published in
Revista Brasileira de Epidemiologia, September 2016
DOI 10.1590/1980-5497201600030015
Pubmed ID
Authors

Anapaula Martins Mendes, João Luiz Bastos, Deise Bresan, Maurício Soares Leite

Abstract

This article analyzes the epidemiological situation of tuberculosis in the state of Rio Grande do Sul, emphasizing the indigenous population. The data are based on the Information System of Grievance Notification (Sinan) between 2003 and 2012. The notified cases of tuberculosis were analyzed according to age, sex, zone of residence, input type, means of diagnosis, clinical form, anti-HIV exam, medical care, supervised treatment (in Portuguese, TDO), closure, and race. The highest incidence rates in the period were among Afro-Brazilians, yellow, and indigenous peoples. The cases affected mainly adult men living in urban areas. Indigenous peoples showed the highest rates of notifications among people aged less than 10 years (12%). In the sputum test, missing information and not-performed exams reached more than 50.0% in all periods and groups. The cure was more prevalent among white people (66.2%); indigenous, brown, and Afro-Brazilian people presented the lowest cure rates: 59.4, 58.4, and 60%, respectively. Tuberculosis is one of the biggest problems in Rio Grande do Sul. The actions of diagnosis, clinical form, and treatment of the cases have not been implemented as proposed. The indigenous peoples' situation is similar and diverse at the same time in comparison with other peoples from different areas of Brazil. Nevertheless, it is unfavorable on a balanced evaluation of the whole scenario. Furthermore, the discrepancies among races are evident: the indigenous and Afro-Brazilian peoples fill the spread sheet, in general terms, on the worst situation, whereas the white people fill the data with the best health situation.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 27%
Student > Bachelor 5 15%
Student > Ph. D. Student 3 9%
Student > Doctoral Student 2 6%
Student > Postgraduate 2 6%
Other 7 21%
Unknown 5 15%
Readers by discipline Count As %
Medicine and Dentistry 9 27%
Biochemistry, Genetics and Molecular Biology 4 12%
Nursing and Health Professions 4 12%
Social Sciences 3 9%
Environmental Science 1 3%
Other 4 12%
Unknown 8 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2016.
All research outputs
#17,828,338
of 22,903,988 outputs
Outputs from Revista Brasileira de Epidemiologia
#218
of 365 outputs
Outputs of similar age
#244,095
of 337,445 outputs
Outputs of similar age from Revista Brasileira de Epidemiologia
#4
of 7 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 365 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,445 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.