TY - JOUR
T1 - Pooled Cohort Profile
T2 - ReCoDID Consortium’s Harmonized Acute Febrile Illness Arbovirus Meta-Cohort
AU - ReCoDID Arbovirus harmonization study group
AU - Gómez, Gustavo
AU - Hufstedler, Heather
AU - Morales, Carlos Montenegro
AU - Roell, Yannik
AU - Lozano-Parra, Anyela
AU - Tami, Adriana
AU - Magalhaes, Tereza
AU - Marques, Ernesto T.A.
AU - Balmaseda, Angel
AU - Calvet, Guilherme
AU - Harris, Eva
AU - Brasil, Patricia
AU - Herrera, Victor
AU - Villar, Luis
AU - Maxwell, Lauren
AU - Jaenisch, Thomas
AU - Achieng, Janet
AU - Bärnighausen, Till
AU - Leegstra, Luz Marina
AU - Marongiu, Luigi
AU - Molnár, Ágnes
AU - Rosenberger, Kerstin
AU - Tobian, Frank
AU - Alfaro, Gabriela Maria Marón
AU - Cruz, Bladimir
AU - Escobar, Guillermo Barahona
AU - Sandoval, Ernesto Pleités
AU - Arguello, Sonia
AU - Gajewski, Anna M.
AU - Kuan, Guillermina
AU - Narvaez, Cesar
AU - Narvaez, Federico
AU - Ojeda, Sergio
AU - Zambrana, José Victor
AU - Benevides, Bruno Souza
AU - Bethencourt, Sarah E.
AU - Caprara, Andrea
AU - César, Priscilla M.D.G.
AU - Cochrane, Guy
AU - Harrison, Peter W.
AU - Jayathilaka, Suran
AU - Kumar, Manish
AU - Rahman, Nadim
AU - Rinck, Gabriele
AU - Consuegra, Monika
AU - Estupiñán, Maria I.
AU - Otero, Fabio
AU - Margarita, Rosa
AU - Ramírez, Gélvez
AU - Damasceno, Luana
N1 - Publisher Copyright:
© Gustavo Gómez, Heather Hufstedler, Carlos Montenegro Morales, Yannik Roell, Anyela Lozano-Parra, Adriana Tami, Tereza Magalhaes, Ernesto T A Marques, Angel Balmaseda, Guilherme Calvet, Eva Harris, Patricia Brasil, Victor Herrera, Luis Villar, Lauren Maxwell, Thomas Jaenisch, ReCoDID Arbovirus harmonization study group.
PY - 2024
Y1 - 2024
N2 - Infectious disease (ID) cohorts are key to advancing public health surveillance, public policies, and pandemic responses. Unfortunately, ID cohorts often lack funding to store and share clinical-epidemiological (CE) data and high-dimensional laboratory (HDL) data long term, which is evident when the link between these data elements is not kept up to date. This becomes particularly apparent when smaller cohorts fail to successfully address the initial scientific objectives due to limited case numbers, which also limits the potential to pool these studies to monitor long-term cross-disease interactions within and across populations. CE data from 9 arbovirus (arthropod-borne viruses) cohorts in Latin America were retrospectively harmonized using the Maelstrom Research methodology and standardized to Clinical Data Interchange Standards Consortium (CDISC). We created a harmonized and standardized meta-cohort that contains CE and HDL data from 9 arbovirus studies from Latin America. To facilitate advancements in cross-population inference and reuse of cohort data, the Reconciliation of Cohort Data for Infectious Diseases (ReCoDID) Consortium harmonized and standardized CE and HDL from 9 arbovirus cohorts into 1 meta-cohort. Interested parties will be able to access data dictionaries that include information on variables across the data sets via Bio Studies. After consultation with each cohort, linked harmonized and curated human cohort data (CE and HDL) will be made accessible through the European Genome-phenome Archive platform to data users after their requests are evaluated by the ReCoDID Data Access Committee. This meta-cohort can facilitate various joint research projects (eg, on immunological interactions between sequential flavivirus infections and for the evaluation of potential biomarkers for severe arboviral disease).
AB - Infectious disease (ID) cohorts are key to advancing public health surveillance, public policies, and pandemic responses. Unfortunately, ID cohorts often lack funding to store and share clinical-epidemiological (CE) data and high-dimensional laboratory (HDL) data long term, which is evident when the link between these data elements is not kept up to date. This becomes particularly apparent when smaller cohorts fail to successfully address the initial scientific objectives due to limited case numbers, which also limits the potential to pool these studies to monitor long-term cross-disease interactions within and across populations. CE data from 9 arbovirus (arthropod-borne viruses) cohorts in Latin America were retrospectively harmonized using the Maelstrom Research methodology and standardized to Clinical Data Interchange Standards Consortium (CDISC). We created a harmonized and standardized meta-cohort that contains CE and HDL data from 9 arbovirus studies from Latin America. To facilitate advancements in cross-population inference and reuse of cohort data, the Reconciliation of Cohort Data for Infectious Diseases (ReCoDID) Consortium harmonized and standardized CE and HDL from 9 arbovirus cohorts into 1 meta-cohort. Interested parties will be able to access data dictionaries that include information on variables across the data sets via Bio Studies. After consultation with each cohort, linked harmonized and curated human cohort data (CE and HDL) will be made accessible through the European Genome-phenome Archive platform to data users after their requests are evaluated by the ReCoDID Data Access Committee. This meta-cohort can facilitate various joint research projects (eg, on immunological interactions between sequential flavivirus infections and for the evaluation of potential biomarkers for severe arboviral disease).
KW - CDISC
KW - FAIR principles
KW - IPD-MA
KW - Latin America
KW - Maelstrom's
KW - arboviral disease
KW - arbovirus
KW - chikungunya
KW - clinical-epidemiological data
KW - consortium
KW - cross-disease interaction
KW - dengue
KW - epidemiology
KW - febrile illness
KW - flavivirus
KW - harmonized meta-cohort
KW - immunological interaction
KW - infection
KW - infectious disease
KW - innovation
KW - methodology
KW - open access data
KW - public health
KW - statistical tool
KW - surveillance
KW - zika
UR - http://www.scopus.com/inward/record.url?scp=85201555822&partnerID=8YFLogxK
U2 - 10.2196/54281
DO - 10.2196/54281
M3 - Articulo en revista no especializada
AN - SCOPUS:85201555822
SN - 2369-2960
VL - 10
JO - JMIR public health and surveillance
JF - JMIR public health and surveillance
M1 - e54281
ER -