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Emergent patterns in global health diplomacy

A network analysis of the resolutions adopted by the World Health Assembly from 1948 to 2022

Bibliographic Data

ID21878752
AuthorsDidier Wernli (0000-0002-1751-1961, University of Geneva, corresponding author), Jean-Luc Falcone (0000-0003-0748-6069, University of Geneva), Stephan Davidshofer (University of Geneva), K Lee (0000-0002-3625-1915, Simon Fraser University), Bastien Chopard (0000-0002-6638-0945, University of Geneva), Nicolas Levrat (0000-0002-9059-6703, University of Geneva)
Year2023
Volume8
Issue4
Pagese011211
Publication date2023-04-01
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2022-011211
PMID37024116
OpenAlexW4362668837
LanguageEN
Citations received3
References cited34

From a complexity perspective on governance, multilateral diplomacy is based on interactions between people, ideas, norms, policies and institutions. This article uses a computer-assisted methodology to better understand governance systems as a network of norms. All World Health Assembly (WHA) resolutions that were available from 1948 to 2022 were collected from the WHO Institutional Repository for Information Sharing (IRIS) database. Regular expressions were used to identify how resolutions cite other resolutions and the resulting relationships were analysed as a normative network. The findings show that WHA resolutions constitute a complex network of interconnected global health issues. This network is characterised by several community patterns. While chain-like patterns are associated with specific diseases programmes, radial patterns are characteristic of highly important procedural decisions that member states reaffirm in similar situations. Finally, densely connected communities correspond to contested topics and emergencies. While these emergent patterns suggest the relevance of using network analysis to understand global health norms in international organisations, we reflect on how this computational approach can be extended to provide new understandings of how multilateral governance systems work, and to address some important contemporary questions about the effects of regime complexity on global health diplomacy

Corporate governance · Diplomacy · Economics · Global governance · Global health · Global network · Health care · Knowledge management · Management · Network analysis · Normative · Political science · Public relations · Social network analysis · Sociology · Computer Science · Global Public Health Policies and Epidemiology · Global Security and Public Health · Law · Viral Infections and Outbreaks Research

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Citations per year3
Citation span2025 - 2025 (1)
Highly citedNo

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