Modell, B;
Darlison, MW;
Lawn, JE;
(2018)
Historical overview of development in methods to estimate burden of disease due to congenital disorders.
Journal of Community Genetics
, 9
(4)
pp. 341-345.
10.1007/s12687-018-0382-4.
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Abstract
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.
Type: | Article |
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Title: | Historical overview of development in methods to estimate burden of disease due to congenital disorders |
Location: | Germany |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/s12687-018-0382-4 |
Publisher version: | https://doi.org/10.1007/s12687-018-0382-4 |
Language: | English |
Additional information: | © The Author(s) 2018. Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Keywords: | Congenital anomalies, Congenital disorders, Disability, Genetic disorders, Mortality, Rare diseases epidemiology |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Primary Care and Population Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > CHIME |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10063603 |
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