Temporal and spatial estimates of adult mortality for small areas in Brazil, 1980-2010

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

doi:10.31219/osf.io/jk67t

Cited by 3 publications

(7 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We make use of the Ministry of Health database, DATASUS (http://www2.datasus.gov.br) and small-area adult mortality estimates produced by Queiroz, Freire, Lima and Gonzaga (2016). We use spatial analysis to observe trends and concentration of adult mortality in the country and relation to socio-economic factors and public health measures.…”

Section: Methodsmentioning

confidence: 99%

“…In the case of mortality studies, some studies have tried to estimate mortality functions and construct life tables for Brazilian municipalities based on the application of Bayesian, parametric and non-parametric models (see e.g. Queiroz et al, 2013;Lima et al 2016;Gonzaga and Schmertmann, 2016). Nevertheless, in common, all these studies have only aimed to estimate mortality in less populated locations, and not many substantive analysis on the evolution and the causes and the determinants of mortality in small areas have been performed.…”

Section: Mortality Decline In Brazil Past and Future Prospects Of Anmentioning

confidence: 99%

“…There are some examples of studies in this line for developed countries (Fenelon, 2013;Ezzati, et.al, 2008;Kulkarni, et.al, 2011;Rees and Brown, 2006;Valkonen, 1992), but few studies for developing countries (Ahmed and Hill, 2011;Justin, et.al, 2012 andQueiroz, et.al, 2012;Queiroz, et.al, 2016). and Queiroz et al (2016) produced estimates of completeness of death counts coverage and adult mortality estimates in more disaggregated geographical levels 1 , using a combination of Death Distribution Methods (DDM) and Empirical Bayesian statistics. In this paper, we use the mortality estimates produced by the research group (available at Queiroz et al, 2016) to provide a more substantive analysis on regional mortality differentials in Brazil.…”

Section: Introductionmentioning

confidence: 99%

“…and Queiroz et al (2016) produced estimates of completeness of death counts coverage and adult mortality estimates in more disaggregated geographical levels 1 , using a combination of Death Distribution Methods (DDM) and Empirical Bayesian statistics. In this paper, we use the mortality estimates produced by the research group (available at Queiroz et al, 2016) to provide a more substantive analysis on regional mortality differentials in Brazil.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adult Mortality Differentials and Regional Development at the local level in Brazil, 1980-2010

Queiroz¹,

Lima²,

Gonzaga³

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

In this paper, we study study spatial and temporal adult mortality trends in small areas of Brazil, from 1980 to 2010, and its relation to socioeconomic and public health developments. Brazil is marked by huge regional and social inequality and it is important to understand how it could be related to trends and differences in adult mortality. There are several studies about trends in infant and child mortality, but much less is known about adult mortality. We are also interested in understand whether there is a convergence or divergence in adult mortality. This is relevant because changes in life expectancy in the near future could be heavily explained by differences in adult mortality as infant and child mortality have shown signs of convergence in recent years Preliminary draft Please, do not cite without authors permissionComments are welcome 2

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Mortality Decline In Brazil Past and Future Prospects Of Anmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adult Mortality Differentials and Regional Development at the local level in Brazil, 1980-2010

Queiroz¹,

Lima²,

Gonzaga³

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Thus, it is necessary to use methods that minimize the effects of small numbers on the denominator and allow the estimation of mortality rates in locations with no occurrence of death in a given period of time 16 . Reliable estimates for small areas allow for better evaluation, planning and prioritization of public health actions, and in Brazil, as well as in other countries, there is knowledge of the existence of spatial-temporal variations in mortality rates that need further investigation 17 .…”

Section: Introductionmentioning

confidence: 99%

Premature mortality due to non-communicable diseases in Brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017

Cardoso

Teixeira

Ribeiro

et al. 2021

Rev. bras. epidemiol.

View full text Add to dashboard Cite

Objective: To estimate premature mortality due to noncommunicable diseases (NCDs) in Brazilian municipalities. Methods: This ecological study estimated premature mortality rates due to cardiovascular diseases, chronic respiratory diseases, cancer and diabetes in Brazilian municipalities, for the three-year periods of 2010 to 2012 and 2015 to 2017, and it analyzed the spatial and temporal distribution of these rates. Data treatment combined proportional redistribution of the missing data and ill-defined causes, and the application of coefficients for under-registration correction. The local empirical Bayesian estimator was used to calculate municipal mortality rates. Results: Rates for the set of chronic diseases decreased in Brazil between the three-year periods. The mean rates for total NCDs declined in the South, Southeast and Central-West regions, remained stable in the North and increased in the Northeast. Mortality rates due to cardiovascular diseases were the highest in all regions but showed the greatest declines between the periods. Cancers were the second leading cause of death. The North and Northeast regions stood out as having increased mean rates of cancer between the periods analyzed and showing the highest mean premature mortality rates due to diabetes in the 2015 to 2017 period. Conclusion: Spatial and temporal distribution of premature mortality rates due to NCDs differed between Brazilian municipalities and regions in the three-year periods evaluated. The South and Southeast had decreased rates of deaths due to cardiovascular and chronic respiratory diseases, as well as diabetes. The North and Northeast had increased rates of deaths due to cancer. There was an increase in the rate of deaths due to diabetes in the Central-West.

show abstract

Factors associated with the quality of death certification in Brazilian municipalities: A data-driven non-linear model

Zimeo Morais,

Miraglia,

de Oliveira

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

Studies evaluating the local quality of death certification in Brazil focused on completeness of death reporting or inappropriate coding of causes of death, with few investigating missing data. We aimed to use missing and unexpected values in core topics to assess the quality of death certification in Brazilian municipalities, to evaluate its correlation with the percentage of garbage codes, and to employ a data-driven approach with non-linear models to investigate the association of the socioeconomic and health infrastructure context with quality of death statistics among municipalities. This retrospective study used data from the Mortality Information System (2010–2017), and municipal data regarding healthcare infrastructure, socioeconomic characteristics, and death rates. Quality of death certification was assessed by missing or unexpected values in the following core topics: dates of occurrence, registration, and birth, place of occurrence, certifier, sex, and marital status. Models were fit to classify municipalities according to the quality of death certification (poor quality defined as death records with missing or unexpected values in core topics ≥ 80%). Municipalities with poor quality of death certification (43.9%) presented larger populations, lower death rates, lower socioeconomic index, healthcare infrastructure with fewer beds and physicians, and higher proportion of public healthcare facilities. The correlation coefficients between quality of death certification assessed by missing or unexpected values and the proportion of garbage codes were weak (0.11–0.49), but stronger for municipalities with lower socioeconomic scores. The model that best fitted the data was the random forest classifier (ROC AUC = 0.76; precision-recall AUC = 0.78). This innovative way of assessing the quality of death certification could help quality improvement initiatives to include the correctness of essential fields, in addition to garbage coding or completeness of records, especially in municipalities with lower socioeconomic status where garbage coding and the correctness of core topics appear to be related issues.

show abstract

Temporal and spatial estimates of adult mortality for small areas in Brazil, 1980-2010

Cited by 3 publications

References 32 publications

Adult Mortality Differentials and Regional Development at the local level in Brazil, 1980-2010

Adult Mortality Differentials and Regional Development at the local level in Brazil, 1980-2010

Premature mortality due to non-communicable diseases in Brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017

Factors associated with the quality of death certification in Brazilian municipalities: A data-driven non-linear model

Contact Info

Product

Resources

About