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关于生物多样性对人类健康和福祉的影响,现有哪些证据?一项系统综述方案。

What evidence exists regarding the impact of biodiversity on human health and well-being? A systematic map protocol.

作者信息

Li Honghong, Jansen Raf E V, Sijuwade Charis, Macura Biljana, Giusti Matteo, Jørgensen Peter Søgaard

机构信息

Global Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences, Stockholm, Sweden.

Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden.

出版信息

Environ Evid. 2024 Apr 27;13(1):11. doi: 10.1186/s13750-024-00335-4.

Abstract

BACKGROUND

Global biodiversity is rapidly declining, yet we still do not fully understand the relationships between biodiversity and human health and well-being. As debated, the loss of biodiversity or reduced contact with natural biodiversity may lead to more public health problems, such as an increase in chronic disease. There is a growing body of research that investigates how multiple forms of biodiversity are associated with an increasingly diverse set of human health and well-being outcomes across scales. This protocol describes the intended method to systematically mapping the evidence on the associations between biodiversity from microscopic to planetary scales and human health and well-being from individual to global scales.

METHODS

We will systematically map secondary studies on the topic by following the Collaborations for Environmental Evidence Guidelines and Standards for Evidence Synthesis in Environment Management. We developed the searching strings to target both well established and rarely studied forms of biodiversity and human health and well-being outcomes in the literature. A pairwise combination search of biodiversity and human health subtopics will be conducted in PubMed, Web of Science platform (across four databases) and Scopus with no time restrictions. To improve the screening efficiency in EPPI reviewer, supervised machine learning, such as a bespoke classification model, will be trained and applied at title and abstract screening stage. A consistency check between at least two independent reviewers will be conducted during screening (both title-abstract and full-text) and data extraction process. No critical appraisal will be undertaken in this map. We may use topic modelling (unsupervised machine learning) to cluster the topics as a basis for further statistical and narrative analysis.

摘要

背景

全球生物多样性正在迅速下降,但我们仍未完全理解生物多样性与人类健康和福祉之间的关系。正如所讨论的,生物多样性的丧失或与自然生物多样性接触的减少可能会导致更多公共卫生问题,如慢性病增加。越来越多的研究调查了多种形式的生物多样性如何在不同尺度上与越来越多的人类健康和福祉结果相关联。本方案描述了系统梳理从微观到行星尺度的生物多样性与从个体到全球尺度的人类健康和福祉之间关联证据的预期方法。

方法

我们将遵循环境证据合作组织的《环境管理证据综合指南和标准》,系统地梳理关于该主题的二次研究。我们制定了检索词,以针对文献中已充分确立和研究较少的生物多样性形式以及人类健康和福祉结果。将在PubMed、科学网平台(跨四个数据库)和Scopus中对生物多样性和人类健康子主题进行成对组合检索,无时间限制。为提高EPPI reviewer中的筛选效率,将在标题和摘要筛选阶段训练并应用监督机器学习,如定制分类模型。在筛选(标题-摘要和全文)和数据提取过程中,将由至少两名独立评审员进行一致性检查。本图谱不进行批判性评价。我们可能会使用主题建模(无监督机器学习)对主题进行聚类,作为进一步统计和叙述性分析的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70e0/11378774/94a3fd752cce/13750_2024_335_Fig1_HTML.jpg

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