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dc.contributor.authorMoorthie, Sen_US
dc.contributor.authorBlencowe, Hen_US
dc.contributor.authorDarlison, MWen_US
dc.contributor.authorLawn, Jen_US
dc.contributor.authorMorris, JKen_US
dc.contributor.authorModell, Ben_US
dc.contributor.authorCongenital Disorders Expert Groupen_US
dc.contributor.authorBittles, AHen_US
dc.contributor.authorBlencowe, Hen_US
dc.contributor.authorChristianson, Aen_US
dc.contributor.authorCousens, Sen_US
dc.contributor.authorDarlison, MWen_US
dc.contributor.authorGibbons, Sen_US
dc.contributor.authorHamamy, Hen_US
dc.contributor.authorKhoshnood, Ben_US
dc.contributor.authorHowson, CPen_US
dc.contributor.authorLawn, Jen_US
dc.contributor.authorMastroiacovo, Pen_US
dc.contributor.authorModell, Ben_US
dc.contributor.authorMoorthie, Sen_US
dc.contributor.authorMorris, JKen_US
dc.contributor.authorMossey, PAen_US
dc.contributor.authorNeville, AJen_US
dc.contributor.authorPetrou, Men_US
dc.contributor.authorPovey, Sen_US
dc.contributor.authorRankin, Jen_US
dc.contributor.authorSchuler-Faccini, Len_US
dc.contributor.authorWren, Cen_US
dc.contributor.authorYunnis, KAen_US
dc.date.accessioned2018-10-05T15:54:07Z
dc.date.available2018-08-29en_US
dc.date.issued2018-10en_US
dc.date.submitted2018-10-05T10:14:54.237Z
dc.identifier.issn1868-310Xen_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/45951
dc.description.abstractCongenital anomaly registries have two main surveillance aims: firstly to define baseline epidemiology of important congenital anomalies to facilitate programme, policy and resource planning, and secondly to identify clusters of cases and any other epidemiological changes that could give early warning of environmental or infectious hazards. However, setting up a sustainable registry and surveillance system is resource-intensive requiring national infrastructure for recording all cases and diagnostic facilities to identify those malformations that that are not externally visible. Consequently, not all countries have yet established robust surveillance systems. For these countries, methods are needed to generate estimates of prevalence of these disorders which can act as a starting point for assessing disease burden and service implications. Here, we describe how registry data from high-income settings can be used for generating reference rates that can be used as provisional estimates for countries with little or no observational data on non-syndromic congenital malformations.en_US
dc.description.sponsorshipWHO Regional Office for the Eastern Mediterraneanen_US
dc.format.extent387 - 396en_US
dc.languageengen_US
dc.language.isoenen_US
dc.relation.ispartofJ Community Geneten_US
dc.rightsThis 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.
dc.subjectCongenital malformationsen_US
dc.subjectEstimationen_US
dc.subjectPregnancy outcomesen_US
dc.subjectPrevalenceen_US
dc.titleEstimating the birth prevalence and pregnancy outcomes of congenital malformations worldwide.en_US
dc.typeArticle
dc.rights.holder© The Author(s) 2018.
dc.identifier.doi10.1007/s12687-018-0384-2en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/30218347en_US
pubs.issue4en_US
pubs.notesNo embargoen_US
pubs.publication-statusPublisheden_US
pubs.volume9en_US
dcterms.dateAccepted2018-08-29en_US


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