Linking birthweight and birth registration data: a postscript

1981 ◽  
Vol 3 (1) ◽  
pp. 38-39
Author(s):  
A. Fenton Lewis
Keyword(s):  
Birth Registration ◽  
Registration Data

scholarly journals Finding Maternal Siblings in Birth Registration Data to form a Pregnancy Spine – Data Linkage & Graph Based Methods for Unknown Cluster Sizes

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Charles Tomlin ◽  
Shelley Gammon ◽  
Charles Morris ◽  
Charlotte O'Brien
Keyword(s):  
Detection Methods ◽  
Birth Registration ◽  
Child Health Outcomes ◽  
Registration Data ◽  
Time Period ◽  
Innovative Methodology ◽  
Probabilistic Linkage ◽  
Sibling Composition ◽  
Cluster Resolution ◽  
High Degree

We have developed an innovative methodology to link maternal siblings within 2000-2005 England and Wales Birth Registration data, to form a Pregnancy Spine, a unification of all births to each unique mother. Key challenges were Blocking & Cluster resolution. To optimise geographic blocking, Internal Migration data was incorporated to map likely geographic movement of mothers between births. Following probabilistic linkage, sibling clusters were modelled as a graph and their structure optimised using community detection methods. Childhood statistics data relating to child DOB were incorporated to evaluate accuracy and remove false links. Our development has resulted in a new blocking and cluster resolution method. We developed new ways to assess sibling group accuracy, beyond traditional classifier metrics, and infer error rates.We applied our method to Registration Data used in earlier studies for QA of our methods. Using this, and other maternal sibling composition statistics, we present results showing that a high degree of accuracy was obtained for standard and new evaluation metrics. These methods will improve other linkage projects linking unknown clusters sizes/multiple datasets, or longer time period longitudinal linkage. To this Spine, researchers can append and link other data sources to answer questions about maternal and child health outcomes.

scholarly journals Indigenous fertility in Australia: updating Alan Gray

2019 ◽  
Vol 36 (4) ◽  
pp. 283-317
Author(s):  
Gordon A. Carmichael
Keyword(s):  
Data Processing ◽  
Census Data ◽  
Indigenous Population ◽  
Geographic Location ◽  
Birth Registration ◽  
Fertility Rates ◽  
Registration Data ◽  
Aboriginal Fertility ◽  
Intercensal Period ◽  
Do So

Abstract Although he was not the first scholar to investigate it, there is little question that the Ph.D. research of Alan Gray, completed in 1983, represented a landmark in the study of Indigenous fertility in Australia. Convinced that ‘Aboriginal’ fertility had fallen rapidly through the 1970s, Gray set out to document and explain the decline. Weaving through a maze of sub-optimal census data he produced a series of age-specific and total fertility rates, refined by three broad geographic location categories, for 5-year periods from 1956–1961 to 1976–1981. These he subsequently updated to also include 1981–1986 and the 10-year period 1986–1996 as new census children-ever-borne data became available. He would doubtless have extended his series further had he lived to do so. For years his fertility estimates were graphed in the annual ABS publication Births Australia as the Bureau began publishing registration-based Indigenous fertility estimates from the late 1990s, but Indigenous birth registration data and fertility estimates based thereon remain to this day problematic in several respects. This paper summarises Alan Gray’s work, extends his Indigenous fertility estimates to the 2011–2016 intercensal period, and examines the results against registration-based estimates that have been subjected to (a) regular retrospective revision (in light of data processing flaws and substantial errors of closure in intercensal Indigenous population increments), and (b) the vagaries of significant late registration, and periodic registry efforts to clear backlogs of unregistered Indigenous births.

Fertility of Migrant Women in Australia

1980 ◽  
Vol 12 (2) ◽  
pp. 179-190 ◽  
Author(s):  
Farhat Yusuf ◽  
Gary Eckstein
Keyword(s):  
Reproductive Behaviour ◽  
Married Women ◽  
Birth Registration ◽  
Country Of Birth ◽  
Migrant Women ◽  
Fertility Rates ◽  
Registration Data ◽  
Major Exception ◽  
Current Fertility ◽  
Migrant Groups

SummaryThis paper examines the current fertility (1971–72) of migrant women in Australia, in order to compare the fertility levels and patterns prevalent among migrants from nine selected countries with those of the Australian born women. Birth registration data have been mainly used in the analysis.Three main points emerge. Among the married women there were few differences in fertility regardless of the country of birth. A major exception was the somewhat higher fertility levels among the southern European migrants. Extramarital fertility seemed to vary substantially between different migrant groups: New Zealanders had the highest and the Italians and Greeks had the lowest levels. There were major differences in the proportion of women married among the various migrant groups; again the southern Europeans had highest proportions married. Comparison of the reproductive behaviour of migrants with their counterparts in the countries of origin showed that the southern European migrants in Australia had higher fertility rates than those prevalent in their countries of origin.

scholarly journals Finding Maternal Siblings in Birth Registration Data to form a Pregnancy Spine – Data Linkage & Graph Based Methods for Unknown Cluster Sizes

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Shelley Gammon ◽  
Charles Morris
Keyword(s):  
Community Detection ◽  
Data Linkage ◽  
Error Rates ◽  
Detection Methods ◽  
Birth Registration ◽  
Sibling Pairs ◽  
Detection Techniques ◽  
Registration Data ◽  
Cluster Resolution ◽  
Sibling Groups

IntroductionWe have developed an innovative methodology to link maternal siblings within 2000 – 2005 England and Wales Birth Registration data, to form a Pregnancy Spine, a unification of all births to each unique mother. Key challenges in this many-many linkage scenario: Blocking (reduction of record pair comparisons) Cluster resolution Objectives and ApproachProbabilistic data linkage (Python) was followed by generation of clusters (using igraph in R) and graph theory community detection techniques. To optimise geographical blocking and increase accuracy, we incorporated Internal Migration data to map the likely geographic movement of mothers between births. Maternal sibling clusters were modelled as a graph and the structure of clusters was optimised using community detection methods to link, split and evaluate sibling groups. Additionally, we incorporated additional childhood statistics data relating to child date of birth to evaluate likely accuracy of sibling pairs and remove false edges (links). ResultsOur development has resulted in a new blocking method and cluster resolution method. In addition, we developed new ways to assess and measure the accuracy of sibling groups, beyond traditional classifier metrics, and infer error rates. We applied our method to Registration Data used in earlier studies for QA of our methods. Using this, and by comparing against other statistics on maternal sibling composition we will present results which show that a high degree of accuracy (precision / recall and new checks) was obtained for precision, recall, and other evaluation metrics. Conclusion/ImplicationsThese methods will improve other linkage projects with unknown clusters sizes; for de-duplicating datasets, linkage of multiple datasets, or incorporation of data from a longer time-period through longitudinal linkage. To this Spine, researchers can now append and link other data sources to answer questions about maternal and child health outcomes.

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