Pooled Cohort Profile: ReCoDID Consortium’s Harmonized Acute Febrile Illness Arbovirus Meta-Cohort

• DOI: 10.2196/54281
• Publication Date: 2024-05-17T05:42:45Z
• Authors: Gustavo Gómez; Heather Hufstedler; Carlos Montenegro...; 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
• Keywords: Male; Adult; Adolescent; Arbovirus Infections/epidemiology; Latin America/epidemiology; Arbovirus Infections; Cohort Studies; Viewpoint; Latin America; Child, Preschool; Humans; Female; Public aspects of medicine; RA1-1270; Preschool; Child; Arboviruses; Retrospective Studies

Infectious disease (ID) cohorts are key to advancing public health surveillance, policies, and pandemic responses. Unfortunately, ID often lack funding store share clinical-epidemiological (CE) data high-dimensional laboratory (HDL) long term, which is evident when the link between these elements not kept up date. This becomes particularly apparent smaller fail successfully address initial scientific objectives due limited case numbers, also limits potential pool studies monitor long-term cross-disease interactions within across populations. CE from 9 arbovirus (arthropod-borne viruses) in Latin America were retrospectively harmonized using Maelstrom Research methodology standardized Clinical Data Interchange Standards Consortium (CDISC). We created a meta-cohort that contains HDL America. To facilitate advancements cross-population inference reuse of cohort data, Reconciliation Cohort for Diseases (ReCoDID) into 1 meta-cohort. Interested parties will be able access dictionaries include information on variables sets via Bio Studies. After consultation with each cohort, linked curated human (CE HDL) made accessible through European Genome-phenome Archive platform users after their requests evaluated by ReCoDID Access Committee. can various joint research projects (eg, immunological sequential flavivirus infections evaluation biomarkers severe arboviral disease).