气候变化领域集成服务门户(CCPortal): Contributions of scale: what we stand to gain from Indigenous and local inclusion in climate and health monitoring and surveillance systems

CCPortal

DOI	10.1088/1748-9326/ab875e
	Contributions of scale: what we stand to gain from Indigenous and local inclusion in climate and health monitoring and surveillance systems
	Van Bavel B.; Ford L.B.; Harper S.L.; Ford J.; Elsey H.; Lwasa S.; King R.
发表日期	2020
ISSN	17489318
卷号	15 期号:8
英文摘要	Understanding how climate change will affect global health is a defining challenge of this century. This is predicated, however, on our ability to combine climate and health data to investigate the ways in which variations in climate, weather, and health outcomes interact. There is growing evidence to support the value of place- and community-based monitoring and surveillance efforts, which can contribute to improving both the quality and equity of data collection needed to investigate and understand the impacts of climate change on health. The inclusion of multiple and diverse knowledge systems in climate-health surveillance presents many benefits, as well as challenges. We conducted a systematic review, synthesis, and confidence assessment of the published literature on integrated monitoring and surveillance systems for climate change and public health. We examined the inclusion of diverse knowledge systems in climate-health literature, focusing on: (1) analytical framing of integrated monitoring and surveillance system processes; (2) key contributions of Indigenous knowledge and local knowledge systems to integrated monitoring and surveillance systems processes; and (3) patterns of inclusion within these processes. In total, 24 studies met the inclusion criteria and were included for data extraction, appraisal, and analysis. Our findings indicate that the inclusion of diverse knowledge systems contributes to integrated climate-health monitoring and surveillance systems across multiple processes of detection, attribution, and action. These contributions include: the definition of meaningful problems; the collection of more responsive data; the reduction of selection and source biases; the processing and interpretation of more comprehensive datasets; the reduction of scale dependent biases; the development of multi-scale policy; long-term future planning; immediate decision making and prioritization of key issues; as well as creating effective knowledge-information-action pathways. The value of our findings and this review is to demonstrate how neither scientific, Indigenous, nor local knowledge systems alone will be able to contribute the breadth and depth of information necessary to detect, attribute, and inform action along pathways of climate-health impact. Rather, it is the divergence or discordance between the methodologies and evidences of different knowledge systems that can contribute uniquely to this understanding. We critically discuss the possibility of what we, mainly local communities and experts, stand to lose if these processes of inclusion are not equitable. We explore how to shift the existing patterns of inclusion into balance by ensuring the equity of contributions and justice of inclusion in these integrated monitoring and surveillance system processes. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	climate change; confidence assessment; knowledge systems; monitoring; public health; surveillance systems; systematic review
语种	英语
scopus关键词	Climate change; Decision making; Health; Security systems; Community-based monitoring; Confidence assessment; Health monitoring; Health surveillances; Indigenous knowledge; Integrated monitoring; Knowledge information; Surveillance systems; Monitoring; climate change; decision making; ecosystem health; equity; health monitoring; indigenous knowledge; nature-society relations; prioritization; traditional knowledge
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153849
作者单位	Priestley International Centre for Climate, University of Leeds, West Yorkshire, Leeds, United Kingdom; Nuffield Centre for International Health and Development, University of Leeds, West Yorkshire, Leeds, United Kingdom; School of Public Health, University of Alberta, Edmonton, AB, Canada; Health Sciences, University of York, North Yorkshire, York, United Kingdom; Department of Geography, Geo-Informatics and Climatic Sciences, Makerere University, Kampala, Uganda
推荐引用方式 GB/T 7714	Van Bavel B.,Ford L.B.,Harper S.L.,et al. Contributions of scale: what we stand to gain from Indigenous and local inclusion in climate and health monitoring and surveillance systems[J],2020,15(8).
APA	Van Bavel B..,Ford L.B..,Harper S.L..,Ford J..,Elsey H..,...&King R..(2020).Contributions of scale: what we stand to gain from Indigenous and local inclusion in climate and health monitoring and surveillance systems.Environmental Research Letters,15(8).
MLA	Van Bavel B.,et al."Contributions of scale: what we stand to gain from Indigenous and local inclusion in climate and health monitoring and surveillance systems".Environmental Research Letters 15.8(2020).