Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY NC
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY NC
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY NC
Data sources: ZENODO
versions View all 2 versions
addClaim

Pathogen and Benefit Sharing (PBS) Project Data Repository

Authors: Moon, Suerie; Burci, Gian Luca; Rizk, Anthony; Bezruki, Anna;

Pathogen and Benefit Sharing (PBS) Project Data Repository

Abstract

This database contains the project data for the SNIS-funded project "Understanding the Norms and Practices of Pathogen-Sharing to Improve Global Health Security" (PIs: Dr. Suerie Moon and Dr. Gian Luca Burci at the Global Health Centre, Graduate Institute of International and Development Studies, Geneva). Project description Infectious disease outbreaks pose a serious threat, one that is exacerbated by intensified trade, travel and migration, closer interaction between humans, domesticated and wild animals, and the declining efficacy of antimicrobial medicines. To a large extent, controlling outbreaks depends on rapid pathogen-sharing between countries and a fair sharing of the benefits deriving from the technologies (drugs, diagnostics, vaccines) produced from pathogens. The Ebola crisis proved how critical pathogen sharing is to develop technologies and measures for controlling outbreaks and thus, how beneficial sharing can be for the countries directly concerned as well as for global health. However, the formal multilateral framework governing pathogen- and benefit-sharing is complex, incomplete, and under strain. This project aims to gain an empirical understanding of the formal and informal norms governing pathogen- and benefit-sharing in order to advance the policy debate on how to manage outbreaks. As such, this research project asks: How can pathogen- and benefit-sharing practices be measured, described and meaningfully assessed? How do formal and informal norms of collaboration and sharing in scientific practice facilitate or impede rapid pathogen- or benefit-sharing? What drives decisions to share (or not) pathogens and related benefits? What global governance tools and instruments can improve pathogen- and benefit-sharing practices to ensure health security for all? We use both quantitative and qualitative methodologies to answer these questions. Key expert interviews and document review of memoranda of understanding, material transfer agreements, organizational policies, and other contracts inform us on existing formal and informal norms in pathogen- and benefit-sharing. We will also use publicly available quantitative data and shipping records on influenza to develop metrics on pathogen- and benefit-sharing practices and explore these issues in-depth through two case studies, one on Ebola in Liberia and another on Zika in Brazil. Based on the data collected, the project will develop proposals for global governance tools and instruments to strengthen pathogen and benefit-sharing, to be discussed with a wide-range of stakeholders. Key collaborators include the World Health Organization, the National Public Health Institute of Liberia the National School of Public Health at Fundação Oswaldo Cruz (Fiocruz), Brazil, the Faculty of Law and the Global Studies Institute at the University of Geneva, Switzerland, and the Center for Global Health Science and Security at Georgetown University, USA.

This project was funded by the Swiss Network for International Studies (SNIS) in 2018. More information available at: https://snis.ch/projects/understanding-the-norms-and-practices-of-pathogen-sharing-to-improve-global-health-security/

Keywords

global health governance, pathogen access and benefit sharing, health security, international law, influenza, outbreaks, pandemics, access to medicines, sample-sharing, Nagoya Protocol, Pandemic Influenza Preparedness Framework

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 4
    download downloads 1
  • 4
    views
    1
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
4
1