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为多元危机做好准备?需要复杂性科学和系统思维来解决全球和国家的证据差距。

Prepared for the polycrisis? The need for complexity science and systems thinking to address global and national evidence gaps.

机构信息

Alliance for Health Policy and Systems Research, World Health Organization, Geneva, GE, Switzerland

Department of Public Health Sciences, Stockholm University, Stockholm, Sweden.

出版信息

BMJ Glob Health. 2024 Sep 11;9(9):e014887. doi: 10.1136/bmjgh-2023-014887.

Abstract

The Sustainable Development Goals are far off track. The convergence of global threats such as climate change, conflict and the lasting effects of the COVID-19 pandemic-among others-call for better data and research evidence that can account for the complex interactions between these threats. In the time of polycrisis, global and national-level data and research evidence must address complexity. Viewed through the lens of 'systemic risk', there is a need for data and research evidence that is sufficiently representative of the multiple interdependencies of global threats. Instead, current global published literature seems to be dominated by correlational, descriptive studies that are unable to account for complex interactions. The literature is geographically limited and rarely from countries facing severe polycrisis threats. As a result, country guidance fails to treat these threats interdependently. Applied systems thinking can offer more diverse research methods that are able to generate complex evidence. This is achievable through more participatory processes that will assist stakeholders in defining system boundaries and behaviours. Additionally, applied systems thinking can draw on known methods for hypothesising, modelling, visualising and testing complex system properties over time. Application is much needed for generating evidence at the global level and within national-level policy processes and structures.

摘要

可持续发展目标远未实现。气候变化、冲突和新冠肺炎疫情等全球威胁的交汇,需要更好的数据和研究证据来解释这些威胁之间的复杂相互作用。在这个多危机时代,全球和国家层面的数据和研究证据必须应对复杂性。从“系统性风险”的角度来看,需要有足够代表性的全球威胁多方面相互依存关系的数据和研究证据。然而,目前全球发表的文献似乎主要以相关性、描述性研究为主,这些研究无法解释复杂的相互作用。文献在地域上有限,而且很少来自面临严重多危机威胁的国家。因此,国家指导无法将这些威胁作为相互依存的因素来对待。应用系统思维可以提供更多不同的研究方法,从而生成复杂的证据。这可以通过更具参与性的过程来实现,这些过程将有助于利益相关者定义系统边界和行为。此外,应用系统思维可以借鉴已知的方法,对复杂系统的属性进行假设、建模、可视化和随时间进行测试。在全球层面和国家层面的政策过程和结构中,应用系统思维生成证据非常必要。

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Planetary health & COVID-19: A multi-perspective investigation.行星健康与新冠疫情:多视角调查
One Health. 2022 Dec;15:100416. doi: 10.1016/j.onehlt.2022.100416. Epub 2022 Jul 22.

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