ReCoDID
ReCoDID (‘Reconciliation of Cohort data in Infectious Diseases’), is a consortium bringing together a multidisciplinary team from four continents to fast track the research response to viruses and other pathogens by facilitating data and sample sharing between infectious disease cohort studies.
Duration: 2019-2023
Funding: Funded by the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 825746 and the Canadian Institutes of Health Research, Institute of Genetics (CIHR-IG) under Grant Agreement N.01886-000.
Team members at HIGH: Till Bärnighausen, Heather Hufstedler, Lauren Maxwell, Johannes Boucsein, Kerstin Rosenberger, Frank Tobian, Thomas Jaenisch
Partner Institutions: EMBL-EBI; Erasmus MC; UMC Utrecht; Aix Marseille; DTU; McMaster; McGill; University of British Colombia; UC Berkeley; Universidad Industrial Santander; Sustainable Sciences Institute; Institut Pasteur de Dakar; Oswaldo Cruz Institute (IOC)
Citation for related publications: de Jong VMT, Moons KGM, Riley RD, et al. Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example. Res Synth Methods. 2020;11(2):148-168. doi:10.1002/jrsm.1384
Link to publication: Res Synth Methods. 2020 Mar;11(2):148-168. doi: 10.1002/jrsm.1384
ECRAID Plan
ECRAID Plan is a European-wide initiative with the goal of establishing a sustainable clinical research network to facilitate cross-national collaborations and platform clinical trails. ECRAID will advance Europe's response to infectious diseases, whether endemic or emerging. ECRAID represents a major cross-national investment in public health and scientific advancement on behalf of the European Comission's Horizon 2020 Programme.
Duration: 2019-2020
Funding: ECRAID-Plan is funded by the European Commission under Grant Agreement 825715
Team members at HIGH: Lauren Maxwell, Kerstin Rosenberger, Thomas Jaenisch
ZIKV IPD-MA
The ZIKV Individual Participant Data (IPD) Consortium to identify, collect and synthesise IPD from longitudinal studies of pregnant women that measure ZIKV infection during pregnancy and fetal, infant or child outcomes. The ZIKV IPD-MA includes 46 partner studies from 28 countries or territories, representing longitudinal data on 20,000 maternal-infant pairs.
Duration: 2019-2022
Funding: Funded by DfID-Wellcome Trust USAID
Team members at HIGH: Lauren Maxwell, Kerstin Rosenberger, Frank Tobian, Thomas Jaenisch, Annelies Wilder-Smith
Partner Institutions: WHO - Department of Sexual and Reproductive Health and Research; PAHO; US-CDC; NIH/NIAID; ZIKAlliance; ZIKAction; ZikaPLAN; INSERM; Fiocruz; Ministry of Health, Colombia; Stanford University; Tulane University
Citation for related publications: Wilder-Smith A, Wei Y, Araújo TVB, et al. Understanding the relation between Zika virus infection during pregnancy and adverse fetal, infant and child outcomes: a protocol for a systematic review and individual participant data meta-analysis of longitudinal studies of pregnant women and their infants and children. BMJ Open. 2019;9(6):e026092. Published 2019 Jun 18. doi:10.1136/bmjopen-2018-026092
Link to publication: https://pubmed.ncbi.nlm.nih.gov/31217315/
Short description of each publication: Zika virus (ZIKV) infection during pregnancy is a known cause of microcephaly and other congenital and developmental anomalies. In the absence of a ZIKV vaccine or prophylactics, principal investigators (PIs) and international leaders in ZIKV research have formed the ZIKV Individual Participant Data (IPD) Consortium to identify, collect and synthesise IPD from longitudinal studies of pregnant women that measure ZIKV infection during pregnancy and fetal, infant or child outcomes.
Risk in the time of ZIKV
The Risk in the time of ZIKV explores community member preferences for communicating risk during pregnancy in the presence of uncertainty in both Zika diagnostics and the absolute risk of adverse pregnancy outcomes or longer term developmental outcomes at 7 sites in three countries.
Risk in the time of ZIKV Website
Duration: 2019-2022
Funding: Funded by the DfID-Wellcome Trust
Team members at HIGH: Lauren Maxwell
Partner Institutions: Universidad Industrial de Santander; Fiocruz Universidad de Puerto Rico; Ministerio de Salud, Colombia; IPESQ