scholarly journals Quality of death counts and adult mortality registration in Suriname and its main regions

2019 ◽  
Vol 36 ◽  
pp. 1-20
Author(s):  
Andrea Fernand Jubithana ◽  
Bernardo Lanza Queiroz
Keyword(s):  
Data Quality ◽  
Population Data ◽  
Adult Mortality ◽  
Primary Objective ◽  
Mortality Data ◽  
Central Regions ◽  
Quality Of Death ◽  
Demographic Methods ◽  
Better Than

Suriname statistical office assumes that mortality data in the country is of good quality and does not perform any test before producing life table estimates. However, lack of data quality is a concern in the less developed areas of the world. The primary objective of this article is to evaluate the quality of death counts registration in the country and its main regions from 2004 to 2012 and to produce estimates of adult mortality by sex. We use data from population, by age and sex, from the last censuses and death counts from the Statistical office. We use traditional demographic methods to perform the analysis. We find that the quality of the death countregistration in Suriname and its central regions is reasonably good. We also find that population data can be considered good. The results reveal a small difference in the completeness for males and females and that for the sub-national population the choice of method has implication on the results. To sum up, data quality in Suriname is better than in most countries in the region, but there are considerable regional differences as observed in other locations.

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

2017 ◽  
Author(s):  
Bernardo L Queiroz ◽  
Everton Lima ◽  
Flávio Freire ◽  
Marcos Roberto Gonzaga
Keyword(s):  
Health Planning ◽  
Population Data ◽  
Adult Mortality ◽  
Vital Statistics ◽  
Mortality Data ◽  
Mortality Pattern ◽  
Registration System ◽  
Small Areas ◽  
Over Time

BACKGROUNDThe study of mortality level and trends in developing countries is limited by the quality of vital registration system and population data, especially for small areas. However, understanding regional differences in data quality and mortality is crucial for public health planning. OBJECTIVEThe paper aims to estimate adult mortality levels for small-areas in Brazil and to examine variations and spatial patterns of adult mortality across regions, overtime and by sex in the countryMETHODSWe combine a three-method strategy. We apply a standardization technique to smooth rates in small areas. We then obtained measures of completeness of death counts coverage using Death Distribution Methods. And spatial analysis to investigate variations and patterns of adult mortality in small areas of the country.RESULTSWe find that completeness of death counts coverage improved overtime across the country. We observed that regions in the south and southeast have complete death registration systems and areas in the less developed regions are improving. We observe a large and constant differential in adult mortality by sex and regions.CONCLUSIONSWe find that the quality of mortality data in Brazil and regions is improving over time. The improvement is mostly explain by public investments in collection health data. Gender differences remained high over the period of analysis due to the increase in external causes of deaths for males. This increase also explains the concentration of high mortality levels for males in some areas of the country. CONTRIBUTIONA new methodological procedure on estimating and analyzing the evolutions on adult mortality pattern over time and across smaller areas on the presence of defective data, on both vital statistics and population data.

scholarly journals Life expectancy, adult mortality and completeness of death counts in Brazil and regions: comparative analysis of IHME, IBGE and other researchers estimates of levels and trends

2019 ◽  
Author(s):  
Bernardo L Queiroz ◽  
Marcos Roberto Gonzaga ◽  
Ana Maria Nogales ◽  
Bruno Torrente ◽  
Daisy Maria Xavier de Abreu
Keyword(s):  
Life Expectancy ◽  
State Level ◽  
Adult Mortality ◽  
Population Projections ◽  
Spatial And Temporal Variation ◽  
Mortality Data ◽  
Death Registration ◽  
Quality Of Data ◽  
National Statistics

Estimates of completeness of death registration are crucial to produce estimates of life tables, population projections and to the global burden of diseases study. They are an imperative step in quality of data analysis. In the case of state level data in Brazil, it is important to consider spatial and temporal variation in the quality of mortality data. In this paper, we compare and discuss alternative estimates of completeness of death registration, adult mortality (45q15) and life expectancy estimates produced by the National Statistics Office (IBGE), Institute for Health Metrics and Evaluation (IHME) and estimates presented in Queiroz, et.al (2017) and Schmertmann and Gonzaga (2018), for 1980 and 2010. We find significant differences in estimates that affect both levels and trends of completeness of adult mortality in Brazil and states. IHME and Queiroz, et.al (2017) estimates converge in 2010, but there are large differences when compared to estimates from the National Statistics Office (IBGE). Larger differences are observed for less developed states.

scholarly journals Assessment of neonatal mortalities and stillbirths data quality in Offinso North District of Ghana

2022 ◽  
Vol 10 (01) ◽  
pp. 508-518
Author(s):  
Richmond Nsiah ◽  
Wisdom Takramah ◽  
Solomon Anum-Doku ◽  
Richard Avagu ◽  
Dominic Nyarko
Keyword(s):  
Data Quality ◽  
Neonatal Mortality ◽  
Assessment Tool ◽  
Information Management System ◽  
Health Facilities ◽  
Primary Data ◽  
Mortality Data ◽  
Neonatal Deaths ◽  
Discrepancy Rate

Background: Stillbirths and neonatal deaths when poorly documented or collated, negatively affect the quality of decision and interventions. This study sought to assess the quality of routine neonatal mortalities and stillbirth records in health facilities and propose interventions to improve the data quality gaps. Method: Descriptive cross-sectional study was employed. This study was carried out at three (3) purposively selected health facilities in Offinso North district. Stillbirths and neonatal deaths recorded in registers from 2015 to 2017, were recounted and compared with monthly aggregated data and District Health Information Management System 2 (DHIMS 2) data using a self-developed Excel Data Quality Assessment Tool (DQS).  An observational checklist was used to collect primary data on completeness and availability. Accuracy ratio (verification factor), discrepancy rate, percentage availability and completeness of stillbirths and neonatal mortality data were computed using the DQS tool. Findings: The results showed high discrepancy rate of stillbirth data recorded in registers compared with monthly aggregated reports (12.5%), and monthly aggregated reports compared with DHIMS 2 (13.5%). Neonatal mortalities data were under-reported in monthly aggregated reports, but over-reported in DHIMS 2. Overall data completeness was about 84.6%, but only 68.5% of submitted reports were supervised by facility in-charges. Delivery and admission registers availability were 100% and 83.3% respectively. Conclusion: Quality of stillbirths and neonatal mortality data in the district is generally encouraging, but are not reliable for decision-making. Routine data quality audit is needed to reduce high discrepancies in stillbirth and neonatal mortality data in the district.

scholarly journals Mortality evolution in Algeria: What can we learn about data quality?

2021 ◽  
Author(s):  
Farid Flici ◽  
Nacer-Eddine Hammouda
Keyword(s):  
Data Quality ◽  
Visual Inspection ◽  
Mortality Data ◽  
Population Census ◽  
Female Mortality ◽  
Time Data ◽  
Natural Evolution ◽  
Mortality Ratio ◽  
Mortality Improvement

Mortality in Algeria has declined significantly since the country declared its independence in 1962. This trend has been accompanied by improvements in data quality and changes in estimation methodology, both of which are scarcely documented, and may distort the natural evolution of mortality as reported in official statistics. In this paper, our aim is to detect these methodological and data quality changes by means of the visual inspection of mortality surfaces, which represent the evolution of mortality rates, mortality improvement rates and the male-female mortality ratio over age and time. Data quality problems are clearly visible during the 1977–1982 period. The quality of mortality data has improved after 1983, and even further since the population census of 1998, which coincided with the end of the civil war. Additional inexplicable patterns have also been detected, such as a changing mortality age pattern during the period before 1983, and a changing pattern of excess female mortality at reproductive ages, which suddenly appears in 1983 and disappears in 1992.

scholarly journals Data Quality Evaluation of Sentinel-1 and GF-3 SAR for Wind Field Inversion

2021 ◽  
Vol 13 (18) ◽  
pp. 3723
Author(s):  
Yong Wan ◽  
Sheng Guo ◽  
Ligang Li ◽  
Xiaojun Qu ◽  
Yongshou Dai
Keyword(s):  
United States ◽  
Data Quality ◽  
Wind Field ◽  
The United States ◽  
Band Model ◽  
East And West ◽  
Sar Data ◽  
Better Than ◽  
Field Inversion

Synthetic aperture radar (SAR) is an important means to observe the sea surface wind field. Sentinel-1 and GF-3 are located on orbit SAR satellites, but the SAR data quality of these two satellites has not been evaluated and compared at present. This paper mainly studies the data quality of Sentinel-1 and GF-3 SAR satellites used in wind field inversion. In this study, Sentinel-1 SAR data and GF-3 SAR data located in Malacca Strait, Hormuz Strait and the east and west coasts of the United States are selected to invert wind fields using the C-band model 5.N (CMOD5.N). Compared with reanalysis data called ERA5, the root mean squared error (RMSE) of the Sentinel-1 inversion results is 1.66 m/s, 1.37 m/s and 1.49 m/s in three intervals of 0~5 m/s, 5~10 m/s and above 10 m/s, respectively; the RMSE of GF-3 inversion results is 1.63 m/s, 1.45 m/s and 1.87 m/s in three intervals of 0~5 m/s, 5~10 m/s and above 10 m/s, respectively. Based on the data of Sentinel-1 and GF-3 located on the east and west coasts of the United States, CMOD5.N is used to invert the wind field. Compared with the buoy data, the RMSE of the Sentinel-1 inversion results is 1.20 m/s, and the RMSE of the GF-3 inversion results is 1.48 m/s. The results show that both Sentinel-1 SAR data and GF-3 SAR data are suitable for wind field inversion, but the wind field inverted by Sentinel-1 SAR data is slightly better than GF-3 SAR data. When applied to wind field inversion, the data quality of Sentinel-1 SAR is slightly better than the data quality of GF-3 SAR. The SAR data quality of GF-3 has achieved a world-leading level.

scholarly journals Quality of cause-of-death data in Brazil: Garbage codes among registered deaths in 2000 and 2015

2019 ◽  
Vol 22 (suppl 3) ◽  
Author(s):  
Renato Azeredo Teixeira ◽  
Mohsen Naghavi ◽  
Mark Drew Crosland Guimarães ◽  
Lenice Harumi Ishitani ◽  
Elizabeth Barboza França
Keyword(s):  
Data Quality ◽  
Cause Of Death ◽  
Age Groups ◽  
Health Assessment ◽  
Mortality Data ◽  
Laboratory Findings ◽  
Northern Regions ◽  
Icd 10 ◽  
Death Data

ABSTRACT Introduction: reliability of mortality data is essential for health assessment and planning. In Brazil, a high proportion of deaths is attributed to causes that should not be considered as underlying causes of deaths, named garbage codes (GC). To tackle this issue, in 2005, the Brazilian Ministry of Health (MoH) implements the investigation of GC-R codes (codes from chapter 18 “Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified, ICD-10”) to improve the quality of cause-of-death data. This study analyzes the GC cause of death, considered as the indicator of data quality, in Brazil, regions, states and municipalities in 2000 and 2015. Methods: death records from the Brazilian Mortality Information System (SIM) were used. Analysis was performed for two GC groups: R codes and non-R codes, such as J18.0-J18.9 (Pneumonia unspecified). Crude and age-standardized rates, number of deaths and proportions were considered. Results: an overall improvement in the quality of mortality data in 2015 was detected, with variations among regions, age groups and size of municipalities. The improvement in the quality of mortality data in the Northeastern and Northern regions for GC-R codes is emphasized. Higher GC rates were observed among the older adults (60+ years old). The differences among the areas observed in 2015 were smaller. Conclusion: the efforts of the MoH in implementing the investigation of GC-R codes have contributed to the progress of data quality. Investment is still necessary to improve the quality of cause-of-death statistics.

scholarly journals Improving the Quality of Adult Mortality Data Collected in Demographic Surveys: Validation Study of a New Siblings' Survival Questionnaire in Niakhar, Senegal

PLoS Medicine ◽  
2014 ◽  
Vol 11 (5) ◽  
pp. e1001652 ◽  
Author(s):  
Stéphane Helleringer ◽  
Gilles Pison ◽  
Bruno Masquelier ◽  
Almamy Malick Kanté ◽  
Laetitia Douillot ◽  
...  
Keyword(s):  
Validation Study ◽  
Adult Mortality ◽  
Mortality Data ◽  
Demographic Surveys

scholarly journals DATA QUALITY CHECK AND VISUAL ANALYSIS OF CORS STATION BASED ON ANUBIS SOFTWARE

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 1295-1300
Author(s):  
Y. Xiao ◽  
M. H. Yao ◽  
S. H. Tang ◽  
H. F. Liu ◽  
P. W. Xing ◽  
...  
Keyword(s):  
Data Quality ◽  
Visual Analysis ◽  
Observation Data ◽  
Quality Inspection ◽  
Slip Ratio ◽  
And Control ◽  
Multi Mode ◽  
Signal Band ◽  
Better Than

Abstract. Aiming at the observation data of CORS multi-mode data quality and inspection in CORS station, based on the observation data of a CORS station in Guilin, Guangxi, the paper used TEQC and Anubis software to check the data quality from data utilization, cycle slip ratio and multipath. The results show that the three quality inspection indicators of Anubis software are better than TEQC software, which proves that Anubis' data quality inspection results are effective and reliable. On this basis, using Anubis drawing tools to perform quality inspection and visual analysis from satellite constellation, signal band and observation data itself, it shows that Anubis' visual content is more elaborate than TEQC, and users can more intuitively understand and control the data quality of CORS station.

scholarly journals Data Quality Automation: a Generic Approach for Large Linked Research Datasets

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Muhammad A Elmessary ◽  
Daniel Thayer ◽  
Sarah Rees ◽  
Leticia ReesKemp ◽  
Arfon Rees
Keyword(s):  
Data Quality ◽  
Relational Database ◽  
Population Data ◽  
Inaccurate Data ◽  
Linkage Quality ◽  
Quality Checks ◽  
Speed Up ◽  
Data Source ◽  
Many Sources

IntroductionWhen datasets are collected mainly for administrative rather than research purposes, data quality checks are necessary to ensure robust findings and to avoid biased results due to incomplete or inaccurate data. When done manually, data quality checks are time-consuming. We introduced automation to speed up the process and save effort. Objectives and ApproachWe have devised a set of automated generic quality checks and reporting, which can be run on any dataset in a relational database without any dataset-specific knowledge or configuration. The code is written in Python. Checks include: linkage quality, agreement with a population data source, comparison with previous data version, duplication checks, null count, value distribution and range, etc. Where dataset metadata is available, checks for validity against lookup tables are included, and the output report includes documentation on data contents. An HTML report with dynamic datatables and interactive graphs, allowing easy exploration of the results, is produced using RMarkdown. ResultsThe automation of the generic data quality check provides an easy and quick tool to report on data issues with minimal effort. It allows comparison with reference tables, lookups and previous versions of the same table to highlight differences. Moreover, this tool can be provided for researchers as a means to get more detailed understanding about their data. While other research data quality tools exist, this tool is distinguished by its features specific to linked data research, as well as implementation in a relational database environment. It has been successfully tested on datasets of over two billion rows. The tool was designed for use within the SAIL Databank, but could easily be adapted and used in other settings. Conclusion/ImplicationsThe effort spent on automating generic testing and reporting on data quality of research datasets is more than compensated by its outputs. Benefits include quick detection and scrutiny of many sources of invalid and incomplete data. This process can easily be expanded to accommodate more standard tests.

scholarly journals Comparative analysis of completeness of death registration, adult mortality and life expectancy at birth in Brazil at the subnational level

2020 ◽  
Vol 18 (S1) ◽  
Author(s):  
Bernardo L Queiroz ◽  
Marcos R. Gonzaga ◽  
Ana M. N. Vasconcelos ◽  
Bruno T. Lopes ◽  
Daisy M. X. Abreu
Keyword(s):  
Comparative Analysis ◽  
Life Expectancy ◽  
Comparative Studies ◽  
Adult Mortality ◽  
Population Projections ◽  
Spatial And Temporal Variation ◽  
Mortality Data ◽  
Death Registration ◽  
National Statistics

Abstract Background Estimates of completeness of death registration are crucial to produce estimates of life tables and population projections and to estimate the burden of disease. They are an important step in assessing the quality of data. In the case of subnational data analysis in Brazil, it is important to consider spatial and temporal variation in the quality of mortality data. There are two main sources of data quality evaluation in Brazil, but there are few comparative studies and how they evolve over time. The aim of the paper is to compare and discuss alternative estimates of completeness of death registration, adult mortality (45q15) and life expectancy estimates produced by the National Statistics Office (IBGE), Institute for Health Metrics and Evaluation (IHME), and estimates presented in Queiroz et al. (2017) and Schmertmann and Gonzaga (2018), for 1980 and 2010. Methods We provide a descriptive and comparative analysis of aforementioned estimates from four (4) sources of estimates at subnational level (26 states and one Federal District) in Brazil from two different points in time. Results We found significant differences in estimates that affect both levels and trends of completeness of adult mortality in Brazil and states. IHME and Queiroz et al. (2017) estimates converge by 2010, but there are large differences when compared to estimates from the National Statistics Office (IBGE). Larger differences are observed for less developed states. We have showed that the quality of mortality data in Brazil has improved steadily overtime, but with large regional variations. However, we have observed that IBGE estimates show the lowest levels of completeness for the Northern of the country compared to other estimates. Choice of methods and approaches might lead to very unexpected results. Conclusion We produced a detailed comparative analysis of estimates of completeness of death registration from different sources and discuss the main results and possible explanations for these differences. We have also showed that new improved methods are still needed to study adult mortality in less developed countries and at a subnational level. More comparative studies are important in order to improve quality of estimates in Brazil.

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