Mortality studies are essential for the monitoring of the HIV/AIDS epidemic. Quality and completeness of data from the mortality information system (SIM) require complementary approaches.
Two sources of data were used to assess mortality trends due to HIV/AIDS in Brazil from 2000 and 2014/15: a) data from the SIM published by the Department of STDs, AIDS, and viral hepatitis, and b) Global Burden of Disease 2015 (GBD 2015) studies. Descriptive analyses were carried out and trends in relative reduction of age-adjusted mortality rates per 100,000 inhabitants were compared according to the two methods.
Overall, the magnitude of the mortality rates estimated by the GBD method, for Brazil and its Federative Units (FU), was greater than those obtained from the SIM. The relative reduction was higher for SIM data and there were shifts in the ranking according to the FUs. Between 2000 and 2014/15 there was an increase in the mortality rates for most of the FUs (78 and 88% according to the SIM and GBD, respectively).
Data regarding mortality due to HIV/AIDS in Brazil should be of concern, regardless of the method used. Differences in magnitude, relative reductions, and ranking can be attributed to methodological differences, but the GBD is broader, with a higher capacity to capture incorrectly classified data and causes of death not registered or not coded as being due to HIV/AIDS. Alternative and complementary data sources can provide important information for HIV/AIDS public policies in Brazil.
Pharmacology, Toxicology and Pharmaceutical Science
8
5%
Biochemistry, Genetics and Molecular Biology
4
3%
Agricultural and Biological Sciences
4
3%
Other
20
14%
Unknown
59
40%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 January 2019.
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#20,271,846
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Outputs from Revista Brasileira de Epidemiologia
#219
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#189,600
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Outputs of similar age from Revista Brasileira de Epidemiologia
#10
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