Specimen sharing for epidemic preparedness: building a local-to-global virtual biorepository framework
Chu, M.; Giri, J.; Pezzi, L.; Cachay, R.; Gelvez Ramirez, R. M.; Tami, A.; Bethencourt, S.; Lozano, A.; Poje, J.; Jaenisch, T.
Show abstract
We present a framework for a federated, virtual biorepository system (VBS) with locally collected and maintained specimens, based on a global goods model and principles of equitable access and benefit sharing. The VBS is intended to facilitate timely access to biological specimens and associated data for outbreak-prone infectious diseases to accelerate the development and evaluation of diagnostics, assess vaccine efficacy, and to support surveillance and research needs. The VBS is aimed to be aligned with the WHO BioHub and other specimen sharing efforts as a force multiplier to meet the needs of strengthening global tools for countering epidemics. The purpose of our research is to lay the basis of the collaboration, management and principles of equitable sharing focused on low- and middle-income country partners. Here we report on surveys and interviews undertaken with biorepository-interested parties to better understand needs and barriers for specimen access and share examples from the ZIKAlliance partnership on the governance and operations of locally organized biorepositories.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Application of diagnostic network optimization in Kenya and Nepal to design integrated, sustainable and efficient bacteriology and antimicrobial resistance surveillance networks 95%
- Implementation of an interactive mobile application to pilot a rapid assay to detect HIV drug resistance mutations in Kenya 94%
- U.S. CDC support to international SARS-CoV-2 seroprevalence surveys, May 2020–February 2022 93%
Similar papers in this journal
- The role of veterinary diagnostic laboratories during COVID-19 response in the United States 94%
- Factors Affecting Integration of an Early Warning System for Antimalarial Drug Resistance within a Routine Surveillance System in a Pre-elimination Setting in Sub-Saharan Africa 93%
- Evaluation of a Digital Entomological Surveillance Planning Tool for Malaria Vector Control: Three Country Mixed Methods Pilot Study 93%
Similar papers in this journal
- Diagnostics for detection and surveillance of priority epidemic-prone diseases in Africa: an assessment of testing capacity and laboratory strengthening needs 95%
- Tracking changes in reporting of epidemiological data during the COVID-19 pandemic in Southeast Asia: an observational study during the first wave 92%
- Bigger and Better? Representativeness of the Influenza A surveillance using one consolidated clinical microbiology laboratory data set as compared to the Belgian Sentinel Network of Laboratories 92%
Similar papers in this journal
- Perceptions and priorities for the development of multiplex rapid diagnostic tests for acute non-malarial fever in rural South and Southeast Asia: an international modified e-Delphi survey 93%
- Development and validation of a framework to improve neglected tropical diseases surveillance and response at the sub-national level in Kenya 93%
- Challenges and lessons learned from the rapid operationalization of a prospective cohort to study the natural history and neurodevelopmental outcomes of postnatal Zika virus infection among infants and children in rural Guatemala 93%
Similar papers in this journal
- Protocol for an interdisciplinary cross-sectional study investigating the social, biological and community-level drivers of antimicrobial resistance (AMR): Holistic Approach to Unravelling Antibiotic Resistance in East Africa (HATUA) 93%
- Implementation of Unassisted and Community-Based HIV Self-Testing (HIVST) during the COVID-19 pandemic among Men-who-have-sex-with-Men (MSM) and Transgender Women (TGW): A Demonstration Study in Metro Manila, Philippines 92%
- Cohort Study Protocol of the Brazilian Collaborative Research Network on COVID-19: strengthening WHO global data 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.