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人与动物接触、土地利用变化与动物源性疾病风险:一项系统评价方案

Human animal contact, land use change and zoonotic disease risk: a protocol for systematic review.

作者信息

Ahmed Aliyu N, Fornace Kimberly M, Iwamura Takuya, Murray Kris A

机构信息

Centre on Climate Change and Planetary Health, Medical Research Council Unit the Gambia at London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, The Gambia.

Saw Swee Hock School of Public Health and National University Health Systems, National University of Singapore, Singapore, Singapore.

出版信息

Syst Rev. 2025 Mar 19;14(1):65. doi: 10.1186/s13643-025-02805-3.

Abstract

BACKGROUND

Zoonotic diseases pose a significant risk to human health globally. The interrelationship between humans, animals, and the environment plays a key role in the transmission of zoonotic infections. Human-animal contact (HAC) is particularly important in this relationship, where it serves as the pivotal interaction for pathogen spillover to occur from an animal reservoir to a human. In the context of disease emergence linked to land-use change, increased HAC as a result of land changes (e.g., deforestation, agricultural expansion, habitat degradation) is frequently cited as a key mechanism. We propose to conduct a systematic literature review to map and assess the quality of current evidence linking changes in HAC to zoonotic disease emergence as a result of land-use change.

METHOD

We developed a search protocol to be conducted in eight (8) databases: Medline, Embase, Global Health, Web of Science, Scopus, AGRIS, Africa-Wide Info, and Global Index Medicus. The review will follow standard systematic review methods and will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines. The search will consist of building a search strategy, database search, and a snowballing search of references from retrieved relevant articles. The search strategy will be developed for Medline (through PubMed) and EMBASE databases. The search strategy will then be applied to all eight (8) databases. Retrieved articles will be exported to EndNote 20 where duplicates will be removed and exported to Rayyan®, to screen papers using their title and abstract. Screening will be conducted by two independent reviewers and data extraction will be performed using a data extraction form. Articles retrieved will be assessed using study quality appraisal tools (OHAT-Office for Health Assessment and Technology Risk of Bias Rating Tool for Human and Animal Studies, CCS-Case Control Studies, OCCSS-Observational Cohort and Cross-Sectional Studies, and CIS-Controlled interventional studies). Data will be analysed using descriptive statistics and a meta-analysis where data permits.

DISCUSSION

The review will provide an important systematic literature aggregate of existing evidence on the role and evidence quality linking HAC to the emergence of zoonoses via land-use change. The outcome of the proposed review will produce a high-level evidence document that could inform intervention points and further research priorities.

REGISTRATION

The review will be registered with PROSPERO.

摘要

背景

人畜共患病对全球人类健康构成重大风险。人类、动物和环境之间的相互关系在人畜共患感染的传播中起着关键作用。人兽接触(HAC)在这种关系中尤为重要,它是病原体从动物宿主溢出到人类的关键相互作用。在与土地利用变化相关的疾病出现的背景下,土地变化(如森林砍伐、农业扩张、栖息地退化)导致的HAC增加经常被认为是一个关键机制。我们建议进行一项系统的文献综述,以梳理和评估当前将HAC变化与人畜共患病因土地利用变化而出现联系起来的证据质量。

方法

我们制定了一个检索方案,将在八个数据库中进行检索:医学文献数据库(Medline)、荷兰医学文摘数据库(Embase)、全球健康数据库(Global Health)、科学引文索引数据库(Web of Science)、Scopus数据库、农业与生物科学数据库(AGRIS)、非洲信息数据库(Africa-Wide Info)和全球医学索引数据库(Global Index Medicus)。该综述将遵循标准的系统综述方法,并将根据系统综述和Meta分析的首选报告项目(PRISMA)指南进行报告。检索将包括制定检索策略、数据库检索以及对检索到的相关文章的参考文献进行滚雪球式检索。检索策略将针对医学文献数据库(通过PubMed)和荷兰医学文摘数据库(EMBASE)制定。然后将检索策略应用于所有八个数据库。检索到的文章将导出到EndNote 20中,在那里去除重复项并导出到Rayyan®,以便使用文章标题和摘要筛选论文。筛选将由两名独立的评审人员进行,数据提取将使用数据提取表进行。检索到的文章将使用研究质量评估工具(OHAT——健康评估办公室和人类及动物研究偏倚风险评级工具、CCS——病例对照研究、OCCSS——观察性队列和横断面研究、CIS——对照干预研究)进行评估。数据将使用描述性统计进行分析,并在数据允许的情况下进行Meta分析。

讨论

该综述将提供一个重要的系统文献汇总,汇总现有证据,说明HAC通过土地利用变化与人畜共患病出现之间的作用和证据质量。拟议综述的结果将产生一份高级证据文件,可为干预点和进一步的研究重点提供信息。

注册

该综述将在国际前瞻性系统综述注册库(PROSPERO)注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82df/11921583/00c15f7fceac/13643_2025_2805_Fig1_HTML.jpg

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