TY - JOUR
T1 - 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
AU - Zika Virus Individual Participant
AU - Alger, Jackeline
AU - de Alencar Ximenes, Ricardo Arraes
AU - Avelino-Silva, Vivian
AU - Bardaji, Azucena
AU - Becerra Mojica, Carlos Hernan
AU - Benedetti, Andrea
AU - Benamor Teixeira, Maria de Lourdes
AU - Bethencourt, Sarah
AU - Borja Aburto, Victor Hugo
AU - Brant, Fatima
AU - Brasil, Patricia
AU - Brickley, Elizabeth B.
AU - Broutet, Nathalie
AU - Buekens, Pierre
AU - Luisa Cafferata, Maria
AU - Calvet, Guilherme
AU - Campbell, Harlan
AU - Carabali, Mabel
AU - Chan, Derrick
AU - Costa, Federico
AU - Ferreira, Orlando da Costa
AU - Coutinho, Conrado Milani
AU - Cunha, Antonio Jose
AU - Cure, Carlos Cure
AU - Damen, Johanna A. A.
AU - de Jong, Valentijn M. T.
AU - Debray, Thomas P.
AU - DeBiasi, Roberta L.
AU - Alfonso Diaz-Martinez, Luis
AU - Duarte, Geraldo
AU - Maria Ferriol, Diana
AU - Ganz, Jucelia S.
AU - Gerardin, Patrick
AU - Gilboa, Suzanne M.
AU - Gonzalez, Maritza
AU - Grajales Muniz, Concepcion
AU - Gustafson, Paul
AU - Gutierrez Sanchez, Luz Angela
AU - Guzman, Maria G.
AU - Hofer, Cristina
AU - Holband, Natanael
AU - Inwani, Irene
AU - Jaenisch, Thomas
AU - Joao, Esau
AU - Juliana, Amadu
AU - Kara, Edna
AU - Kim, Caron
AU - Ko, Albert
AU - Koopmans, Marion
AU - Widdowson, Marc-Alain
N1 - FTX; DOAJ; (CC BY 3.0 IGO)
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Zika virus
KW - individual participant data meta-analysis
KW - data sharing
KW - emerging pathogen
KW - prognostic model
KW - prediction model
KW - congenital Zika syndrome
KW - microcephaly
U2 - 10.3390/tropicalmed5040152
DO - 10.3390/tropicalmed5040152
M3 - A1: Web of Science-article
SN - 2414-6366
VL - 5
JO - Tropical Medicine and Infectious Disease
JF - Tropical Medicine and Infectious Disease
IS - 4
M1 - 152
ER -