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Historical overview of development in methods to estimate burden of disease due to congenital disorders

Bibliographic Data

ID15673289
AuthorsBernadette Modell (University College London, corresponding author), Matthew Darlison (0000-0002-0054-6594, The Centre for Health (New Zealand)), Joy Elizabeth Lawn (0000-0002-4573-1443, London School of Hygiene & Tropical Medicine)
Year2018
Volume9
Issue4
Pages341-345
Publication date2018-09-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Community Genetics (JOURNAL)
Journal identifiersISSN: 1868-310X • E-ISSN: 1868-6001
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s12687-018-0382-4
PMID30209753
OpenAlexW2890488496
LanguageEN
Citations received1
References cited23

Congenital disorders (often also called birth defects) are an important cause of mortality and disability. They encompass a wide range of disorders with differing severity that can affect any aspect of structure or function. Understanding their epidemiology is important in developing appropriate services both for their prevention and treatment. The need for epidemiological data on congenital disorders has been recognised for many decades. Here, we provide a historical overview of work that has led to the development of the Modell Global Database of Congenital Disorders (MGDb)-a tool that can be used to generate evidence-based country, regional and global estimates of the birth prevalence and outcomes of congenital disorders

Burden of disease · Disease · Intensive care medicine · Pathology · Public health · Birth, Development, and Health · Folate and B Vitamins Research · Global Public Health Policies and Epidemiology · Medicine · Epidemiology · Pediatrics

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Unique citing works1
Citations per year0.2
Citation span2021 - 2021 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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