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Estimativas do grau de cobertura e da mortalidade adulta (45q15) para as unidades da federação no Brasil entre 1980 e 2010

Overview of attention for article published in Revista Brasileira de Epidemiologia, May 2017
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Title
Estimativas do grau de cobertura e da mortalidade adulta (45q15) para as unidades da federação no Brasil entre 1980 e 2010
Published in
Revista Brasileira de Epidemiologia, May 2017
DOI 10.1590/1980-5497201700050003
Pubmed ID
Authors

Bernardo Lanza Queiroz, Flávio Henrique Miranda de Araujo Freire, Marcos Roberto Gonzaga, Everton Emanuel Campos de Lima

Abstract

Assess the completeness of the DataSUS SIM death-count registry, by sex and Brazilian state, and estimate the probability of adult mortality (45q15), by sex and state, from 1980 to 2010. The study was based on mortality data obtained in the DataSUS Mortality Information System, from 1980 to 2010, and on population data from the 1980, 1991, 2000, and 2010 demographic censuses. The quality assessment of the registry data was conducted using traditional demographic and death distribution methods, and death probabilities were calculated using life-table concepts. The results show a considerable improvement in the completeness of the death-count coverage in Brazil since 1980. In the southeast and south, we observed the complete coverage of the adult mortality registry, which did not occur in the previous decade. In the northeast and north, there were still places with a low coverage from 2000 to 2010, although there was a clear improvement in the quality of data. For all Brazilian states, there was a decline in the probability of adult mortality; we observed, however, that the death probability for males is much higher than that for females throughout the whole analysis period. The observed improvements seem to be related to investments in the public health care system and administrative procedures to improve the recording of vital events.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Bachelor 4 15%
Student > Master 4 15%
Student > Doctoral Student 3 11%
Other 3 11%
Other 3 11%
Unknown 5 19%
Readers by discipline Count As %
Medicine and Dentistry 9 33%
Social Sciences 3 11%
Agricultural and Biological Sciences 3 11%
Nursing and Health Professions 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 3 11%
Unknown 7 26%