2013
DOI: 10.1590/s0034-89102013000901048
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Correcao de informacoes vitais: estimacao da mortalidade infantil, Brasil, 2000-2009

Abstract: OBJECTIVE:To propose a simplified method of correcting vital information and estimating the coefficient of infant mortality in Brazil. METHODS:Vital data in the information systems on mortality and live births were corrected using correction factors, estimated based on events not reported to the Brazilian Ministry of Health and obtained by active search. This simplified method for correcting vital information for the period 2000-2009 for Brazil and its federal units establishes the level of adequacy of informa… Show more

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Cited by 27 publications
(37 citation statements)
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References 18 publications
(21 reference statements)
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“…The survey occurred in a probabilistic sample of 79 small and medium-sized municipalities (all but one with fewer than 100,000 inhabitants) in 19 states, including all states in the North and Northeast regions and the states of Minas Gerais, Mato Grosso, and Goiás; these states are known to have poor data quality 13 . Sample selection was stratified by groups based on two criteria: age-standardized mortality rate for the period 2009-2011, and infant mortality rate.…”
Section: Methodsmentioning
confidence: 99%
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“…The survey occurred in a probabilistic sample of 79 small and medium-sized municipalities (all but one with fewer than 100,000 inhabitants) in 19 states, including all states in the North and Northeast regions and the states of Minas Gerais, Mato Grosso, and Goiás; these states are known to have poor data quality 13 . Sample selection was stratified by groups based on two criteria: age-standardized mortality rate for the period 2009-2011, and infant mortality rate.…”
Section: Methodsmentioning
confidence: 99%
“…We then used the correction factors demonstrated previously to calculate the corrected number of Live Births according to ranges of the Live Birth Ratio (ratio between recorded and estimated number of live births) 13 . …”
Section: Lbr =mentioning
confidence: 99%
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