The 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.

Details

Ressource 1Request a copy Under indefinite embargo.
UNIL restricted access
State: Public
Version: Final published version
License: Not specified
Serval ID
serval:BIB_A50EB7CB80D7
Type
Article: article from journal or magazin.
Publication sub-type
Editorial
Collection
Publications
Institution
Title
The 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.
Journal
Tropical medicine and infectious disease
Author(s)
Alger J.
Working group(s)
Zika Virus Individual Participant Data Consortium
ISSN
2414-6366 (Electronic)
ISSN-L
2414-6366
Publication state
Published
Issued date
30/09/2020
Peer-reviewed
Oui
Volume
5
Number
4
Pages
152
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
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.
Keywords
Zika virus, congenital Zika syndrome, data sharing, emerging pathogen, individual participant data meta-analysis, microcephaly, prediction model, prognostic model
Pubmed
Web of science
Open Access
Yes
Create date
13/01/2021 10:29
Last modification date
09/08/2024 15:53
Usage data