Abstract
Background: Timely access to outbreak related data, particularly in the early events of a spillover, is important to support evidence based control measures in response to outbreaks of zoonotic Emerging Infectious Diseases (EID). Yet, this is impeded by several barriers that need to be understood to promote timely sharing of data. Using the MERS epidemic as a model for a zoonotic EID outbreak, this study sought to provide an in-depth understanding of data sharing practices. Methods: Semi-structured interviews with 25 experts were conducted, along with Focus Group Discussions with 15 additional experts. A root-cause analysis was performed to examine the causal relationships between barriers. Enablers were mapped to the root-cause analysis to understand their influence on the barriers. Finally, root causes were placed in context of core dilemmas identified from the qualitative analysis. Findings: Eight barriers to data sharing were identified, related to collaboration, technical preparedness, regulations, and (conflict of) interests, and placed in the context of six dilemmas inherent to the multi-stakeholder collaboration required for a zoonotic outbreak response. Fourteen identified enablers showed the willingness of stakeholders to overcome or circumvent these barriers, but also indicated the inherent trial and error nature of implementing such enablers. Interpretation: Addressing the barriers requires solutions that must consider the complexity and interconnectedness of the root causes underlying them, and should consider the distinct scopes and interests of the different stakeholders. Insights provided by this study can be used to encourage data sharing practices for future outbreaks Funding: Wellcome Trust and UK Aid; EU-H2020 Societal Challenges (grant agreement no. 643476), Nederlandse Organisatie voor Wetenschappelijk Onderzoek (VI.Veni.201S.044)
Original language | English |
---|---|
Article number | 185 |
Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | BMC Infectious Diseases |
Volume | 24 |
DOIs | |
Publication status | Published - 12 Feb 2024 |
Bibliographical note
Publisher Copyright:© The Author(s) 2024.
Funding
The authors greatly acknowledge all stakeholders who participated in this study. We are grateful to the Qatari Supreme Council of Health and Ministry of Public Health, and the Qatari Ministry of Municipality and Environment for providing access to their network for the performance of this study. We thank prof. Eric Claassen, and Reina Sikkema, for methodological support and feedback. This study was part of a workshop on Data sharing in public health emergencies. Financial support was provided by Wellcome Trust, UK Aid, EU H2020 COMPARE (643476), and the Dutch Research Council (NWO; VI.Veni.201S.044). Financial support was provided by Wellcome Trust and UK Aid, EU H2020 COMPARE (643476), and the Dutch Research Council (NWO; VI.Veni.201S.044). The authors greatly acknowledge all stakeholders who participated in this study. We are grateful to the Qatari Supreme Council of Health and Ministry of Public Health, and the Qatari Ministry of Municipality and Environment for providing access to their network for the performance of this study. We thank prof. Eric Claassen, and Reina Sikkema, for methodological support and feedback. This study was part of a workshop on Data sharing in public health emergencies. Financial support was provided by Wellcome Trust, UK Aid, EU H2020 COMPARE (643476), and the Dutch Research Council (NWO; VI.Veni.201S.044).
Funders | Funder number |
---|---|
EU H2020 | |
Qatari Ministry of Municipality and Environment | |
Reina Sikkema | |
Wellcome Trust | |
Horizon 2020 Framework Programme | 643476 |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek | VI.Veni.201S.044 |
Ministry of Public Health |
Keywords
- Data sharing
- Infectious disease
- One Health
- Outbreak response
- Zoonoses