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Six dilemmas for stakeholders inherently affecting data sharing during a zoonotic (re-)emerging infectious disease outbreak response.
van Roode, Martine Y; Dos S Ribeiro, Carolina; Farag, Elmoubasher; Nour, Mohamed; Moustafa, Aya; Ahmed, Minahil; Haringhuizen, George; Koopmans, Marion P G; van de Burgwal, Linda H M.
Afiliação
  • van Roode MY; Department of Viroscience, Erasmus University Medical Center (Erasmus MC), Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands. m.vanroode@erasmusmc.nl.
  • Dos S Ribeiro C; Center for Infectious Disease Control, The Netherlands National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
  • Farag E; Vrije Universiteit Amsterdam (VU Amsterdam), Faculty of Science, Athena Institute for Research On Innovation and Communication in Health and Life Sciences, Amsterdam, The Netherlands.
  • Nour M; Department of Health Protection & Communicable Diseases, Ministry of Public Health, Doha, Qatar.
  • Moustafa A; Department of Health Protection & Communicable Diseases, Ministry of Public Health, Doha, Qatar.
  • Ahmed M; Department of Health Protection & Communicable Diseases, Ministry of Public Health, Doha, Qatar.
  • Haringhuizen G; Department of Health Protection & Communicable Diseases, Ministry of Public Health, Doha, Qatar.
  • Koopmans MPG; Center for Infectious Disease Control, The Netherlands National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
  • van de Burgwal LHM; Department of Viroscience, Erasmus University Medical Center (Erasmus MC), Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
BMC Infect Dis ; 24(1): 185, 2024 Feb 12.
Article em En | MEDLINE | ID: mdl-38347527
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).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Transmissíveis Emergentes / Epidemias Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Animals / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Transmissíveis Emergentes / Epidemias Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Animals / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article