TY  - JOUR
A1  - Lima, Everton
A1  - Lanza Queiroz, Bernardo 
A1  - Freire, Flavio
A1  - Gonzaga, Marcos
T1  - Analyzing regional patterns of mortality data quality and adult mortality for small areas in Brazil, 1980–2010
Y1  - 2024/12/13
JF  - Demographic Research
JO  - Demographic Research
SN  - 1435-9871
SP  - 1411
EP  - 1428
DO  - 10.4054/DemRes.2024.51.44
VL  - 51
IS  - 44
UR  - https://www.demographic-research.org/volumes/vol51/44/
L1  - https://www.demographic-research.org/volumes/vol51/44/51-44.pdf
L2  - https://www.demographic-research.org/volumes/vol51/44/51-44.pdf
N2  - Background: Brazil’s profound regional social inequalities raise concerns about their impact on adult mortality and data quality. Although the quality of mortality data has improved in recent decades, substantial regional disparities in death registration and mortality rates persist. 

Objective: Our study examines the spatial and temporal trends in death record quality and adult mortality across Brazil’s small regions from 1980 to 2010. It assesses whether adult mortality rates are converging or diverging and whether the vital registration system is progressively improving. 

Methods: Utilizing mortality data and census records, we adopt a two-step approach. First, we evaluate data quality and calculate adult mortality estimates across subnational microregions using death distribution methods and TOPALS regression. Second, we employ bivariate choropleth mapping to explore the relationship between adult mortality and socioeconomic factors, measured across 558 microregions and disaggregated by sex. 

Results: Our findings highlight regional and temporal evolution of completeness of death count coverage. Results show that social inequality is a key factor driving regional disparities in adult mortality. Additionally, assessing and adjusting for the under-registration of death counts is crucial for understanding the spatial relationship between adult mortality and the distribution of socioeconomic inequality. 

Contribution: We propose an approach combining demographic and statistical methods to evaluate data quality and produce adult mortality estimates for countries with limited data. We demonstrate how data quality evolves over time and how it varies by gender and region. This research offers a practical method for assessing data quality in small areas  and estimating adult mortality in countries with data limitations, and it provides insights for policymakers aiming to reduce regional mortality disparities. 

ER  -