An overview of concepts and approaches used in estimating the burden of congenital disorders globally

Sowmiya Moorthie, Hannah Blencowe, Matthew W. Darlison (Lead / Corresponding author), Joy E. Lawn, Pierpaolo Mastroiacovo, Joan K. Morris, Bernadette Modell, Congenital Disorders Expert Group

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
155 Downloads (Pure)


Congenital disorders are an important cause of pregnancy loss, premature death and life-long disability. A range of interventions can greatly reduce their burden, but the absence of local epidemiological data on their prevalence and the impact of interventions impede policy and service development in many countries. In an attempt to overcome these deficiencies, we have developed a tool—The Modell Global Database of Congenital Disorders (MGDb) that combines general biological principles and available observational data with demographic data, to generate estimates of the birth prevalence and effects of interventions on mortality and disability due to congenital disorders. MGDb aims to support policy development by generating country, regional and global epidemiological estimates. Here we provide an overview of the concepts and methodological approach used to develop MGDb.

Original languageEnglish
Pages (from-to)347-362
Number of pages16
JournalJournal of Community Genetics
Issue number4
Early online date11 Oct 2017
Publication statusPublished - Oct 2018


  • Congenital disorders
  • Epidemiology
  • Policy
  • Public health

ASJC Scopus subject areas

  • Epidemiology
  • Public Health, Environmental and Occupational Health
  • Genetics(clinical)


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