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dc.contributor.authorWei, Yinghui
dc.date.accessioned2021-11-15T12:53:50Z
dc.date.available2021-11-15T12:53:50Z
dc.date.issued2020-09-30
dc.identifier.issn2414-6366
dc.identifier.issn2414-6366
dc.identifier.urihttp://hdl.handle.net/10026.1/18362
dc.description.abstract

<jats:p>This commentary describes the creation of the Zika Virus Individual Participant Data Consortium, a global collaboration to address outstanding questions in Zika virus (ZIKV) epidemiology through conducting an individual participant data meta-analysis (IPD-MA). The aims of the IPD-MA are to (1) estimate the absolute and relative risks of miscarriage, fetal loss, and short- and long-term sequelae of fetal exposure; (2) identify and quantify the relative importance of different sources of heterogeneity (e.g., immune profiles, concurrent flavivirus infection) for the risk of adverse fetal, infant, and child outcomes among infants exposed to ZIKV in utero; and (3) develop and validate a prognostic model for the early identification of high-risk pregnancies and inform communication between health care providers and their patients and public health interventions (e.g., vector control strategies, antenatal care, and family planning programs). By leveraging data from a diversity of populations across the world, the IPD-MA will provide a more precise estimate of the risk of adverse ZIKV-related outcomes within clinically relevant subgroups and a quantitative assessment of the generalizability of these estimates across populations and settings. The ZIKV IPD Consortium effort is indicative of the growing recognition that data sharing is a central component of global health security and outbreak response.</jats:p>

dc.format.extent152-152
dc.format.mediumElectronic
dc.languageen
dc.language.isoen
dc.publisherMDPI
dc.subjectZika virus
dc.subjectcongenital Zika syndrome
dc.subjectdata sharing
dc.subjectemerging pathogen
dc.subjectindividual participant data meta-analysis
dc.subjectmicrocephaly
dc.subjectprediction model
dc.subjectprognostic model
dc.titleThe Zika Virus Individual Participant Data Consortium: A Global Initiative to Estimate the Effects of Exposure to Zika Virus during Pregnancy on Adverse Fetal, Infant, and Child Health Outcomes
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/33007828
plymouth.issue4
plymouth.volume5
plymouth.publication-statusPublished online
plymouth.journalTropical Medicine and Infectious Disease
dc.identifier.doi10.3390/tropicalmed5040152
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/EXTENDED UoA 10 - Mathematical Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA10 Mathematical Sciences
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dc.publisher.placeSwitzerland
dcterms.dateAccepted2020-09-08
dc.rights.embargodate2021-11-16
dc.identifier.eissn2414-6366
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.3390/tropicalmed5040152
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2020-09-30
rioxxterms.typeJournal Article/Review


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