• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

冠状病毒研究主题，追踪二十年研究历程。

Coronavirus research topics, tracking twenty years of research.

作者信息

Aryani Amir, Wang Jingbo, Salvador-Carulla Luis, Woo Jihoon, Cheung Cathy P W, Wu Zhuochen, Yin Hui, Xiao Junhua, Lambert Elisabeth A, Howitt Jason, Davidson Jean M, Yoong Serene, Dixon John B, Climie Rachel E, Salinas-Perez Jose A, Bagheri Nasser, Santiago Celine, Williams Joanne, Wickramasinghe Nilmini, Ng Leo, Zwack Clara C, Lambert Gavin W

机构信息

Swinburne University of Technology, Melbourne, Australia.

National Computational Infrastructure, The Australian National University, Canberra, Australia.

出版信息

Sci Data. 2025 Jun 10;12(1):978. doi: 10.1038/s41597-025-04992-z.

DOI:10.1038/s41597-025-04992-z
PMID:40494890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12152131/
Abstract

Research publications aimed at understanding the various aspects of Coronaviruses, particularly COVID-19, have significantly shaped our knowledge base. While the urgency to monitor COVID-19 in real-time has decreased, the continual influx of new research of monthly articles underscores the importance of systematic review and analysis to deepen our understanding of the pandemic's broad impact. To explore research trends and innovations in this space, we developed a pipeline using natural language processing techniques. This pipeline systematically catalogues and synthesises the vast array of research articles, leading to the creation of a dataset with more than eight hundred thousand articles from July 2002 to May 2024. This paper describes the content of this dataset and provides the necessary information to make this dataset accessible and reusable for future research. Our approach aggregates and organises global research related to Coronaviruses into thematic clusters such as vaccine development, public health strategies, infection mechanisms, mental health issues, and economic consequences. Also, we have leveraged the contribution of health experts to review and revise the dataset.

摘要

旨在了解冠状病毒各个方面，尤其是新冠病毒的研究出版物，极大地塑造了我们的知识库。虽然实时监测新冠病毒的紧迫性已有所降低，但每月源源不断的新研究文章凸显了系统综述和分析对于深化我们对这一疫情广泛影响理解的重要性。为了探索该领域的研究趋势和创新，我们利用自然语言处理技术开发了一个流程。这个流程系统地编目和综合了大量研究文章，从而创建了一个包含2002年7月至2024年5月期间超过八十万篇文章的数据集。本文描述了该数据集的内容，并提供必要信息，以便使该数据集可供未来研究使用且可重复利用。我们的方法将与冠状病毒相关的全球研究汇总并组织成疫苗开发、公共卫生策略、感染机制、心理健康问题和经济后果等主题集群。此外，我们还借助了健康专家的贡献来审查和修订该数据集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/41e6f7f9ff60/41597_2025_4992_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/08791f0c32df/41597_2025_4992_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/0ea5df9d2633/41597_2025_4992_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/0bf103e078ed/41597_2025_4992_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/59501af77534/41597_2025_4992_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/3a7dd3737e8b/41597_2025_4992_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/81d49b8e6196/41597_2025_4992_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/ebbc48c47ae3/41597_2025_4992_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/af0bbfb8144b/41597_2025_4992_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/d46f69a4e877/41597_2025_4992_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/b4300f0cb1e2/41597_2025_4992_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/986fe5646626/41597_2025_4992_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/41e6f7f9ff60/41597_2025_4992_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/08791f0c32df/41597_2025_4992_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/0ea5df9d2633/41597_2025_4992_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/0bf103e078ed/41597_2025_4992_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/59501af77534/41597_2025_4992_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/3a7dd3737e8b/41597_2025_4992_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/81d49b8e6196/41597_2025_4992_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/ebbc48c47ae3/41597_2025_4992_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/af0bbfb8144b/41597_2025_4992_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/d46f69a4e877/41597_2025_4992_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/b4300f0cb1e2/41597_2025_4992_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/986fe5646626/41597_2025_4992_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2612/12152131/41e6f7f9ff60/41597_2025_4992_Fig12_HTML.jpg

相似文献

1
Coronavirus research topics, tracking twenty years of research.冠状病毒研究主题，追踪二十年研究历程。
Sci Data. 2025 Jun 10;12(1):978. doi: 10.1038/s41597-025-04992-z.
2
Measures implemented in the school setting to contain the COVID-19 pandemic.学校为控制 COVID-19 疫情而采取的措施。
Cochrane Database Syst Rev. 2022 Jan 17;1(1):CD015029. doi: 10.1002/14651858.CD015029.
3
Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19.在基层医疗机构或医院门诊环境中，如果患者出现以下症状和体征，可判断其是否患有 COVID-19。
Cochrane Database Syst Rev. 2022 May 20;5(5):CD013665. doi: 10.1002/14651858.CD013665.pub3.
4
Public Health Messaging on Twitter During the COVID-19 Pandemic: Observational Study.新冠疫情期间推特上的公共卫生信息：观察性研究
J Med Internet Res. 2025 Feb 5;27:e63910. doi: 10.2196/63910.
5
Hyperimmune immunoglobulin for people with COVID-19.COVID-19 免疫球蛋白
Cochrane Database Syst Rev. 2023 Jan 26;1(1):CD015167. doi: 10.1002/14651858.CD015167.pub2.
6
Convalescent plasma for people with COVID-19: a living systematic review.COVID-19 患者恢复期血浆治疗：一项实时系统评价。
Cochrane Database Syst Rev. 2023 Feb 1;2(2):CD013600. doi: 10.1002/14651858.CD013600.pub5.
7
Nirmatrelvir combined with ritonavir for preventing and treating COVID-19.奈玛特韦片/利托那韦片组合包装用于 COVID-19 的预防和治疗。
Cochrane Database Syst Rev. 2022 Sep 20;9(9):CD015395. doi: 10.1002/14651858.CD015395.pub2.
8
Convalescent plasma for people with COVID-19: a living systematic review.COVID-19 患者恢复期血浆治疗：一项实时系统评价。
Cochrane Database Syst Rev. 2023 May 10;5(5):CD013600. doi: 10.1002/14651858.CD013600.pub6.
9
Survivor, family and professional experiences of psychosocial interventions for sexual abuse and violence: a qualitative evidence synthesis.性虐待和暴力的心理社会干预的幸存者、家庭和专业人员的经验：定性证据综合。
Cochrane Database Syst Rev. 2022 Oct 4;10(10):CD013648. doi: 10.1002/14651858.CD013648.pub2.
10
Workplace interventions to reduce the risk of SARS-CoV-2 infection outside of healthcare settings.工作场所干预措施以降低医疗机构外 SARS-CoV-2 感染的风险。
Cochrane Database Syst Rev. 2022 May 6;5(5):CD015112. doi: 10.1002/14651858.CD015112.pub2.

本文引用的文献

1
Trends in blood pressure changes and hypertension prevalence in Australian adults before and during the COVID-19 pandemic.澳大利亚成年人在 COVID-19 大流行前后的血压变化和高血压患病率趋势。
J Clin Hypertens (Greenwich). 2024 Feb;26(2):145-154. doi: 10.1111/jch.14761. Epub 2024 Jan 15.
2
Development of a pharmaceutical science systematic review process using a semi-automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting.采用半自动机器学习工具开发药物科学系统评价流程：新生儿重症监护环境下的静脉药物相容性。
Pharmacol Res Perspect. 2024 Feb;12(1):e1170. doi: 10.1002/prp2.1170.
3
Risk of autoimmune diseases following COVID-19 and the potential protective effect from vaccination: a population-based cohort study.
新冠病毒感染后自身免疫性疾病的风险及疫苗接种的潜在保护作用：一项基于人群的队列研究
EClinicalMedicine. 2023 Aug 16;63:102154. doi: 10.1016/j.eclinm.2023.102154. eCollection 2023 Sep.
4
Long COVID: major findings, mechanisms and recommendations.长新冠：主要发现、机制和建议。
Nat Rev Microbiol. 2023 Mar;21(3):133-146. doi: 10.1038/s41579-022-00846-2. Epub 2023 Jan 13.
5
The prevalence and long-term health effects of Long Covid among hospitalised and non-hospitalised populations: A systematic review and meta-analysis.住院和非住院人群中“长新冠”的患病率及长期健康影响：一项系统评价与荟萃分析
EClinicalMedicine. 2022 Dec 1;55:101762. doi: 10.1016/j.eclinm.2022.101762. eCollection 2023 Jan.
6
LitCovid in 2022: an information resource for the COVID-19 literature.2022 年的 LitCovid：COVID-19 文献信息资源。
Nucleic Acids Res. 2023 Jan 6;51(D1):D1512-D1518. doi: 10.1093/nar/gkac1005.
7
What next for covid-19 vaccines?新冠疫苗的下一步是什么？
BMJ. 2022 Oct 20;379:o2422. doi: 10.1136/bmj.o2422.
8
COVID-19 and Kidney Disease.2019冠状病毒病与肾脏疾病
Annu Rev Med. 2023 Jan 27;74:1-13. doi: 10.1146/annurev-med-042420-104753. Epub 2022 Sep 15.
9
Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study.使用无监督词嵌入和机器学习预测 COVID-19 文献中迅速涌现的主题：基于证据的研究。
J Med Internet Res. 2022 Nov 2;24(11):e34067. doi: 10.2196/34067.
10
Characteristics of Living Systematic Review for COVID-19.新型冠状病毒肺炎（COVID-19）的活体系统评价特征
Clin Epidemiol. 2022 Aug 4;14:925-935. doi: 10.2147/CLEP.S367339. eCollection 2022.