An integrated risk and vulnerability assessment framework for climate change and malaria transmission in East Africa

Malaria Journal

Research

Cordia Chu¹  Esther Achieng Onyango¹  Alex Awiti²  Brendan Mackey³  Oz Sahin⁴ 

[1] Centre for Environment and Population Health, Griffith University, School of Environment, 170 Kessels Road, 4111, Nathan, Australia;East African Institute, Aga Khan University East Africa, 2nd Parklands Avenue, 00100, Nairobi, Kenya;Griffith Climate Change Response Program, Griffith University, 4222, Gold Coast, Australia;School of Engineering, Griffith University, 4222, Gold Coast, Australia;Griffith Climate Change Response Program, Griffith University, 4222, Gold Coast, Australia;

关键词: Integrated risk and vulnerability assessment;    Climate change impact on malaria transmission;    Systems approach;    Climate change and malaria risk;    East Africa;   

DOI  :  10.1186/s12936-016-1600-3

 received in 2016-06-21, accepted in 2016-11-04,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundMalaria is one of the key research concerns in climate change-health relationships. Numerous risk assessments and modelling studies provide evidence that the transmission range of malaria will expand with rising temperatures, adversely impacting on vulnerable communities in the East African highlands. While there exist multiple lines of evidence for the influence of climate change on malaria transmission, there is insufficient understanding of the complex and interdependent factors that determine the risk and vulnerability of human populations at the community level. Moreover, existing studies have had limited focus on the nature of the impacts on vulnerable communities or how well they are prepared to cope. In order to address these gaps, a systems approach was used to present an integrated risk and vulnerability assessment framework for studies of community level risk and vulnerability to malaria due to climate change.ResultsDrawing upon published literature on existing frameworks, a systems approach was applied to characterize the factors influencing the interactions between climate change and malaria transmission. This involved structural analysis to determine influential, relay, dependent and autonomous variables in order to construct a detailed causal loop conceptual model that illustrates the relationships among key variables. An integrated assessment framework that considers indicators of both biophysical and social vulnerability was proposed based on the conceptual model.ConclusionsA major conclusion was that this integrated assessment framework can be implemented using Bayesian Belief Networks, and applied at a community level using both quantitative and qualitative methods with stakeholder engagement. The approach enables a robust assessment of community level risk and vulnerability to malaria, along with contextually relevant and targeted adaptation strategies for dealing with malaria transmission that incorporate both scientific and community perspectives.

【 授权许可】

CC BY   
© The Author(s) 2016