International health cooperation in the Greater Mekong Subregion

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Liverani, M. 2017. International health cooperation in the Greater Mekong Subregion. [Online]. UK Data Archive, Colchester, Essex, United Kingdom. Available from: - https://doi.org/10.5255/UKDA-SN-852820

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It is increasingly recognised that many policy issues, such as infectious disease control, transcend national borders, and require collective action and the sharing of data and expertise between stakeholders. In recognition of this, regional health programmes, networks, and initiatives have been established in different regional settings to promote collaboration and coordination between researchers, policy makers and health authorities in affected countries. However, gaps remain in our knowledge of these developments, including changing trends and priorities over time, institutional arrangements, patterns in the flow of data and information, and challenges to meaningful and effective knowledge exchange, especially in developing contexts. This project aimed to gain a better understanding of these issues by exploring in a systematic way the evolution of regional cooperation for infectious disease control in the Greater Mekong Subregion (GMS) and current implementation challenges. As part of this project, three datasets were compiled: (1) a systematic collection of international health programmes for the prevention and control of infectious diseases in the GMS in the period 2000-2016; (2) a dataset of internationally co-authored publications on avian influenza involving authors with institutional affiliations in GMS countries, formatted and organized to enable network analysis of bibliometric patterns; (3) 70 key informant interviews and meetings with key stakeholders in Cambodia and Vietnam. In this archive, the first two datasets are available. The third dataset is not available due to confidentiality agreements, though collected material has been incorporated and summarized in the research report.

Completed Date: 20 October 2017
Data capture method:
Mode of data capture
Compilation/Synthesis
Aggregation
Data Creators(s): Liverani, M
LSHTM Faculty/Department: Faculty of Public Health and Policy > Dept of Global Health and Development
Participating Institutions: London School of Hygiene & Tropical Medicine
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