» Articles » PMID: 24487452

Using Social Network Analysis to Evaluate Health-related Adaptation Decision-making in Cambodia

Overview
Publisher MDPI
Date 2014 Feb 4
PMID 24487452
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Climate change adaptation in the health sector requires decisions across sectors, levels of government, and organisations. The networks that link these different institutions, and the relationships among people within these networks, are therefore critical influences on the nature of adaptive responses to climate change in the health sector. This study uses social network research to identify key organisational players engaged in developing health-related adaptation activities in Cambodia. It finds that strong partnerships are reported as developing across sectors and different types of organisations in relation to the health risks from climate change. Government ministries are influential organisations, whereas donors, development banks and non-government organisations do not appear to be as influential in the development of adaptation policy in the health sector. Finally, the study highlights the importance of informal partnerships (or 'shadow networks') in the context of climate change adaptation policy and activities. The health governance 'map' in relation to health and climate change adaptation that is developed in this paper is a novel way of identifying organisations that are perceived as key agents in the decision-making process, and it holds substantial benefits for both understanding and intervening in a broad range of climate change-related policy problems where collaboration is paramount for successful outcomes.

Citing Articles

Monitoring and Evaluation Indicators for Climate Change-Related Health Impacts, Risks, Adaptation, and Resilience.

Ebi K, Boyer C, Bowen K, Frumkin H, Hess J Int J Environ Res Public Health. 2018; 15(9).

PMID: 30200609 PMC: 6165508. DOI: 10.3390/ijerph15091943.


Defining the global health system and systematically mapping its network of actors.

Hoffman S, Cole C Global Health. 2018; 14(1):38.

PMID: 29665828 PMC: 5904998. DOI: 10.1186/s12992-018-0340-2.


Structural analysis of health-relevant policy-making information exchange networks in Canada.

Contandriopoulos D, Benoit F, Bryant-Lukosius D, Carrier A, Carter N, Deber R Implement Sci. 2017; 12(1):116.

PMID: 28931436 PMC: 5607603. DOI: 10.1186/s13012-017-0642-4.


Climate change and human health.

Semenza J Int J Environ Res Public Health. 2014; 11(7):7347-53.

PMID: 25046633 PMC: 4113880. DOI: 10.3390/ijerph110707347.

References
1.
Christakis N, Fowler J . The spread of obesity in a large social network over 32 years. N Engl J Med. 2007; 357(4):370-9. DOI: 10.1056/NEJMsa066082. View

2.
Christakis N, Fowler J . The collective dynamics of smoking in a large social network. N Engl J Med. 2008; 358(21):2249-58. PMC: 2822344. DOI: 10.1056/NEJMsa0706154. View

3.
Friel S, Marmot M, McMichael A, Kjellstrom T, Vagero D . Global health equity and climate stabilisation: a common agenda. Lancet. 2008; 372(9650):1677-83. DOI: 10.1016/S0140-6736(08)61692-X. View

4.
Bowen K, Ebi K, Friel S, McMichael A . A multi-layered governance framework for incorporating social science insights into adapting to the health impacts of climate change. Glob Health Action. 2013; 6:21820. PMC: 3772341. DOI: 10.3402/gha.v6i0.21820. View

5.
Rosenquist J, Murabito J, Fowler J, Christakis N . The spread of alcohol consumption behavior in a large social network. Ann Intern Med. 2010; 152(7):426-33, W141. PMC: 3343772. DOI: 10.7326/0003-4819-152-7-201004060-00007. View