新冠疫情爆发后,已累计有 54 篇相关研究发表(附论文下载入口)

2020-02-01 14:46 来源:丁香园 作者:丁香园公众号
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1 月 30 日,Nature 官网发布一篇文章,统计了在过去的 20 天里有关新型冠状病毒的英文研究论文数量。


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(图源:Nature)


统计方法:分别在 bioRxiv、medRxiv、ChemRxiv、Google 学术搜索、论坛 virological.org、Altmetric 网站上搜索「冠状病毒」或「ncov」一词,统计目前发布的有关该主题的初步研究报告。


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(图源:Nature)


结果表明,截至 1 月 30 日,至少已经累计有 54 篇关于新型冠状病毒的英文论文发表,而其中有超过一半的研究在过去 7 天发布。丁香园统计发现,其中超过 20 余篇研究来自中国学者。

其中,超过 30 篇发布在学术网站的预印本上,极少数已出现在同行评审期刊上,包括《柳叶刀》和《医学病毒学杂志》等。(注:本次搜索统计结果不包括中文论文)

以下为各官网入口:

>>点击进入《新英格兰》杂志

>>点击进入《柳叶刀》杂志 

>>点击进入疫情地图  

>>点击进入 CDC疫情主页

>>点击进入 欧洲的疾病预防控制重心 


附:新型冠状病毒(2019-nCoV)科学研究论文汇总(部分,其中加粗标题为中国学者参与研究)


1、临床批准药物中2019-nCoV冠状病毒M蛋白酶的潜在抑制剂   

Potential inhibitors for 2019-nCoV coronavirus M protease from clinically approved medicinesXin Liu, Xiu-Jie WangbioRxiv 2020.01.29.924100; doi: https://doi.org/10.1101/2020.01.29.924100


2、2019 年新型冠状病毒(2019-nCoV)的传播动态

Transmission dynamics of 2019 novel coronavirus (2019-nCoV)

Tao Liu, Jianxiong Hu, Min Kang, Lifeng Lin, Haojie Zhong, Jianpeng Xiao, Guanhao He, Tie Song, Qiong Huang, Zuhua Rong, Aiping Deng, Weilin Zeng, Xiaohua Tan, Siqing Zeng, Zhihua Zhu, Jiansen Li, Donghua Wan, Jing Lu, Huihong Deng, Jianfeng He, Wenjun MabioRxiv 2020.01.25.919787; doi: https://doi.org/10.1101/2020.01.25.919787


3、SARS 冠状病毒特异性人类单克隆抗体与2019年新型冠状病毒纤突蛋白的强效结合

Potent binding of 2019 novel coronavirus spike protein by a SARS coronavirus-specific human monoclon alantibody

Xiaolong Tian, Cheng Li, Ailing Huang, Shuai Xia, Sicong Lu, Zhengli Shi, Lu Lu, Shibo Jiang, Zhenlin Yang, Yanling Wu, Tianlei YingbioRxiv 2020.01.28.923011; doi: https://doi.org/10.1101/2020.01.28.923011


4、新型冠状病毒(2019-nCoV)的全基因组进化分析否定了近期重组事件导致病毒出现的假设

Full-genome evolutionary analysis of the novel corona virus (2019-nCoV) rejects the hypothesis of emergence as a result of a recent recombination event

D. Paraskevis, E.G. Kostaki, G. Magiorkinis, G. Panayiotakopoulos, S. TsiodrasbioRxiv 2020.01.26.920249; doi: https://doi.org/10.1101/2020.01.26.920249


5、2019年新型冠状病毒疫情:病毒进化的证据

The 2019-new coronavirus epidemic: evidence for virus evolutionDomenico 

Benvenuto, Marta Giovannetti, Alessandra Ciccozzi, Silvia Spoto, Silvia Angeletti, Massimo CiccozzibioRxiv 2020.01.24.915157; doi: https://doi.org/10.1101/2020.01.24.915157


6、基因组和蛋白质结构建模分析描绘了2019-nCoV的起源和传染性,这是一种新型冠状病毒,在中国武汉引起了肺炎的暴发

Genomic and protein structure modelling analysis depicts the origin and infectivity of 2019-nCoV, a new coronavirus which caused a pneumonia outbreak in Wuhan, ChinaNing 

Dong, Xuemei Yang, Lianwei Ye, Kaichao Chen, EdwardWai-Chi Chan, Mengsu Yang, Sheng ChenbioRxiv 2020.01.20.913368; doi: https://doi.org/10.1101/2020.01.20.913368


7、武汉2019-nCoV早期人传人模式研究
Pattern of early human-to-human transmission of Wuhan 2019-nCoV

Julien Riou, ChristianL. AlthausbioRxiv 2020.01.23.917351; doi: https://doi.org/10.1101/2020.01.23.917351


8、对2019-2020年中国新型冠状病毒(2019-nCoV)基本繁殖数量的初步估计:疫情爆发早期的数据驱动分析

Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak

Shi Zhao, Qianying Lin, Jinjun Ran, SalihuSabiu MUSA, Guangpu Yang, Weiming Wang, Yijun Lou, Daozhou Gao, Lin Yang, Daihai He, Maggie H WangbioRxiv 2020.01.23.916395; doi: https://doi.org/10.1101/2020.01.23.916395


9、模拟武汉新型冠状病毒传播的数学模型
A mathematical model for simulating the transmission of Wuhan novel Coronavirus

Tianmu Chen, Jia Rui, Qiupeng Wang, Zeyu Zhao, Jing-An Cui, Ling YinbioRxiv 2020.01.19.911669; doi: https://doi.org/10.1101/2020.01.19.911669


10、利用深度学习算法预测武汉2019年新型冠状病毒的宿主和传染性
Host and infectivity prediction of Wuhan 2019 novel coronavirus using deep learning algorithm

Qian Guo, Mo Li, Chunhui Wang, Peihong Wang, Zhencheng Fang, Jie tan, Shufang Wu, Yonghong Xiao, Huaiqiu ZhubioRxiv 2020.01.21.914044; doi: https://doi.org/10.1101/2020.01.21.914044


11、高通量筛选靶向2019-nCoV主蛋白酶的治疗药物
Therapeutic Drugs Targeting 2019-nCoV Main Protease by High-Throughput Screening

Yan Li, Jinyong Zhang, Ning Wang, Haibo Li, Yun Shi, Gang Guo, Kaiyun Liu, Hao Zeng, Quanming ZoubioRxiv 2020.01.28.922922; doi: https://doi.org/10.1101/2020.01.28.922922


12、2019年新型冠状病毒的起源时间和流行动态
Origin time and epidemic dynamics of the 2019 novel coronavirus

Chi Zhang, Mei WangbioRxiv 2020.01.25.919688; doi: https://doi.org/10.1101/2020.01.25.919688


13、2019-2020武汉冠状病毒疫情爆发:加强监测对于防止新地点的持续传播至关重要

2019-20 Wuhan coronavirus outbreak:Intense surveillance is vital for preventing sustained transmission in newlocations

R.N. ThompsonbioRxiv 2020.01.24.919159; doi: https://doi.org/10.1101/2020.01.24.919159


14、医疗体系崩溃:控制中国武汉新型冠状病毒(2019-nCoV)爆发的数学模型

Breaking down of the healthcare system: Mathematical modelling for controlling the novel coronavirus(2019-nCoV) outbreak in Wuhan, China

Wai-kit Ming, Jian Huang, CasperJ.P. ZhangbioRxiv 2020.01.27.922443; doi: https://doi.org/10.1101/2020.01.27.922443


15、B族β-冠状病毒(包括2019-nCoV)的细胞进入和受体使用的功能评估

Functional assessment of cell entry and receptor usage for lineage B β-coronaviruses, including 2019-nCoV

Michael Letko, Vincent MunsterbioRxiv 2020.01.22.915660; doi: https://doi.org/10.1101/2020.01.22.915660


16、警惕无症状传播:基于扩展SEIR模型的2019-nCoV防控措施研究

Beware of asymptomatic transmission: Study on 2019-nCoV prevention and control measures based on extended SEIR model

Peng Shao, Yingji ShanbioRxiv 2020.01.28.923169; doi: https://doi.org/10.1101/2020.01.28.923169


17、模拟2019年中国新型冠状病毒爆发的流行趋势

Modelling the epidemic trend of the 2019 novel coronavirus outbreak in China

Mingwang Shen, Zhihang Peng, Yanni Xiao, Lei ZhangbioRxiv 2020.01.23.916726; doi: https://doi.org/10.1101/2020.01.23.916726


18、通过结合同源建模、分子对接和结合自由能计算的整合方法,预测奈非那韦是2019-nCov主蛋白酶的潜在抑制剂

Nelfinavir was predicted to be a potential inhibitor of 2019-nCov main protease by an integrative approach combining homology modelling, molecular docking and binding freeenergy calculation

Zhijian Xu, Cheng Peng, Yulong Shi, Zhengdan Zhu, Kaijie Mu, Xiaoyu Wang, Weiliang ZhubioRxiv 2020.01.27.921627; doi: https://doi.org/10.1101/2020.01.27.921627


 19、与人类最近爆发的肺炎疫情相关的新型冠状病毒的发现及其潜在的蝙蝠起源

Discovery of a novel coronavirus associated with the recent pneumonia outbreak in humans and its potential bat origin

Peng Zhou, Xing-Lou Yang, Xian-Guang Wang, Ben Hu, Lei Zhang, Wei Zhang, Hao-Rui Si, Yan Zhu, Bei Li, Chao-Lin Huang, Hui-Dong Chen, Jing Chen, Yun Luo, Hua Guo, Ren-Di Jiang, Mei-Qin Liu, Ying Chen, Xu-Rui Shen, Xi Wang, Xiao-Shuang Zheng, Kai Zhao, Quan-Jiao Chen, Fei Deng, Lin-Lin Liu, Bing Yan, Fa-Xian Zhan, Yan-Yi Wang, Gengfu Xiao, Zheng-Li ShibioRxiv 2020.01.22.914952; doi: https://doi.org/10.1101/2020.01.22.914952


20、武汉地区与严重人类呼吸道疾病有关的新型冠状病毒的全基因组特征研究

Complete genome characterisation of a novel coronavirus associated with severe humanrespiratory disease in Wuhan, China

Fan Wu, Su Zhao, Bin Yu, Yan-Mei Chen, Wen Wang, Yi Hu, Zhi-Gang Song, Zhao-Wu Tao, Jun-Hua Tian, Yuan-Yuan Pei, Ming-Li Yuan, Yu-Ling Zhang, Fa-Hui Dai, Yi Liu, Qi-Min Wang, Jiao-Jiao Zheng, Lin Xu, Edward C. Holmes, Yong-Zhen ZhangbioRxiv 2020.01.24.919183; doi: https://doi.org/10.1101/2020.01.24.919183


21、估计中国武汉市新型冠状病毒(2019-nCoV)病例的潜在总数

Estimatingthe potential total number of novel Coronavirus (2019-nCoV) cases in Wuhan City China

ImaiN, Dorigattig I, Cori A, et al. Estimating the potential total number of novelCoronavirus (2019-nCoV) cases in Wuhan City, China[J]. Preprint published bythe Imperial College London, 2020.https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/2019-nCoV-outbreak-report-22-01-2020.pdf


22、估计中国武汉市新型冠状病毒病例的潜在总数

Estimating the potential total number of novel Coronavirus cases in Wuhan City China

ImaiN, Dorigatti I, Cori A, et al. Estimating the potential total number of novelCoronavirus cases in Wuhan City, China[J].Preprint published by the ImperialCollege London, 2020.https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/2019-nCoV-outbreak-report-22-01-2020.pdf

23、Imperial-2019-nCoV的传播能力

Imperial-2019-nCoV-transmissibility

https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-2019-nCoV-transmissibility.pdf


24、与2019年新型冠状病毒相关的家族性肺炎表明了人对人传播:对家族簇的研究

A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster

JasperFuk-Woo Chan, Shuofeng Yuan, Kin-Hang Kok, Kelvin Kai-Wang To, Hin Chu, JinYang, Fanfan Xing, Jieling Liu, Cyril Chik-Yan Yip, Rosana Wing-Shan Poon,Hoi-Wah Tsoi, Simon Kam-Fai Lo, Kwok-Hung Chan, Vincent Kwok-Man Poon, Wan-MuiChan, Jonathan Daniel Ip, Jian-Piao Cai, Vincent Chi-Chung Cheng, Honglin Chen,Christopher Kim-Ming Hui, Kwok-Yung Yuen,A familial cluster of pneumoniaassociated with the 2019 novel coronavirus indicating person-to-person transmission:a study of a family cluster,The Lancet,2020,ISSN 0140-6736,https://doi.org/10.1016/S0140-6736(20)30154-9.(http://www.sciencedirect.com/science/article/pii/S0140673620301549)


25、对2019-nCoV的新理解

Emerging understandings of 2019-nCoV

TheLancet,Emerging understandings of 2019-nCoV,The Lancet,2020,ISSN0140-6736,https://doi.org/10.1016/S0140-6736(20)30186-0.(http://www.sciencedirect.com/science/article/pii/S0140673620301860)


26、冠状病毒感染——不仅仅是普通的感冒

Coronavirus Infections–More Than Just the Common Cold

PaulesC I, Marston H D, Fauci A S. Coronavirus Infections—MoreThan Just the Common Cold[J]. JAMA.


27、中国武汉2019年新型冠状病毒感染者的临床特征

Clinical features of patients infected with 2019 novel coronavirus in Wuhan China

ChaolinHuang, Yeming Wang, Xingwang Li, Lili Ren, Jianping Zhao, Yi Hu, Li Zhang,Guohui Fan, Jiuyang Xu, Xiaoying Gu, Zhenshun Cheng, Ting Yu, Jiaan Xia, YuanWei, Wenjuan Wu, Xuelei Xie, Wen Yin, Hui Li, Min Liu, Yan Xiao, Hong Gao, LiGuo, Jungang Xie, Guangfa Wang, Rongmeng Jiang, Zhancheng Gao, Qi Jin, JianweiWang, Bin Cao,Clinical features of patients infected with 2019 novelcoronavirus in Wuhan, China,The Lancet,2020,ISSN0140-6736,https://doi.org/10.1016/S0140-6736(20)30183-5.(http://www.sciencedirect.com/science/article/pii/S0140673620301835)


28、以数据共享和疫情爆发为例的最佳实践

Data sharing and outbreaks  best practice exemplified

DavidL Heymann,Data sharing and outbreaks: best practice exemplified,TheLancet,2020,ISSN 0140-6736,https://doi.org/10.1016/S0140-6736(20)30184-7.(http://www.sciencedirect.com/science/article/pii/S0140673620301847)


29、一种新型冠状病毒在中国出现——影响评估的关键问题
A Novel Coronavirus Emerging in China — Key Questions for Impact Assessment
MunsterV J, Koopmans M, van Doremalen N, et al. A Novel Coronavirus Emerging in China—KeyQuestions for Impact Assessment[J]. New England Journal of Medicine, 2020.https://wwwnejm.xilesou.top/doi/full/10.1056/NEJMp2000929


30、一种来自2019年中国肺炎患者的新型冠状病毒

A Novel Coronavirus from Patients with Pneumonia in China, 2019

ZhuN, Zhang D, Wang W, et al. A Novel Coronavirus from Patients with Pneumonia inChina, 2019[J]. New England Journal of Medicine, 2020.https://wwwnejm.xilesou.top/doi/full/10.1056/NEJMoa2001017


31、又一个十年,又一个冠状病毒

Another Decade, Another Coronavirus

PerlmanS. Another Decade, Another Coronavirus[J]. 2020.https://wwwnejm.xilesou.top/doi/full/10.1056/NEJMe2001126


32、新型冠状病毒在越南的输入和人对人传播

Importation and Human-to-Human Transmission of a Novel Coronavirus in Vietnam

Lan T. Phan, Thuong V. Nguyen, Quang C. Luong, Thinh V. Nguyen, M.D.Hieu T. Nguyen, Pasteur,Hung Q. Le, Thuc T. Nguyen,Thang M. Cao, Quang D. Pham, 


33、新型冠状病毒2019-nCoV流行病学参数的早期估计和流行病预测

Novel coronavirus 2019-nCoV early estimation of epidemiological parameters andepidemic prediction

ReadJ M, Bridgen J R E, Cummings D A T, et al. Novel coronavirus 2019-nCoV: earlyestimation of epidemiological parameters and epidemic predictions[J]. medRxiv,2020.https://www.medrxiv.org/content/medrxiv/early/2020/01/24/2020.01.23.20018549.full.pdf


34、对2019年在中国境内外传播的新型冠状病毒的初步风险分析

Preliminary risk analysis of 2019 novel coronavirus spread within and beyond China

Shengjie Lai1, Isaac I. Bogoch, Alexander Watts, Kamran Khan, Zhongjie 


35、预防医疗机构中传染病传播的隔离预防措施指南

Guideline for Isolation Precautions Preventing Transmission of Infectious Agents inHealthcare Settings

https://www.cdc.gov/anthrax/pdf/infection-control-guidelines-for-healtcare-setting-2007.pdf


36、疾病预防控制中心的卫生保健设施环境感染控制指南和医院感染控制实践顾问委员会(HICPAC)的建议

Guidelines for Environmental Infection Control in Health-Care Facilities Recommendations of CDC and the Healthcare Infection Control Practices Advisory Committee(HICPAC)


37、2019年中期新型冠状病毒(2019-nCoV)患者调查(PUI)表
Interim 2019 novel coronavirus (2019-nCoV) patient under investigation (PUI) form

https://www.cdc.gov/coronavirus/2019-ncov/downloads/pui-form.pdf


38、新型冠状病毒(2019-nCoV)医院防备清单

Novel Coronavirus (2019-nCoV) Hospital Preparedness Checklist


 39、2019-nCoV的医护人员准备清单

Healthcare Personnel Preparedness Checklist for 2019-nCoV

https://www.cdc.gov/coronavirus/2019-ncov/hcp/hcp-personnel-checklist.html


 40、全球卫生关注的新型冠状病毒爆发

A novel coronavirus outbreak of global health concern

ChenWang, Peter W Horby, Frederick G Hayden, George F Gao,A novel coronavirusoutbreak of global health concern,The Lancet,2020,ISSN0140-6736,https://doi.org/10.1016/S0140-6736(20)30185-9.(http://www.sciencedirect.com/science/article/pii/S0140673620301859)


41、2019年中国武汉市新型冠状病毒性肺炎的描述性研究

2019 novel coronavirus pneumonia in Wuhan, China a descriptive study

NanshanChen, Min Zhou, Xuan Dong, Jieming Qu, Fengyun Gong, Yang Han, Yang Qiu, JingliWang, Ying Liu, Yuan Wei, Jia'an Xia, Ting Yu, Xinxin Zhang, Li Zhang,Epidemiologicaland clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia inWuhan, China: a descriptive study,The Lancet,2020,ISSN0140-6736,https://doi.org/10.1016/S0140-6736(20)30211-7.(http://www.sciencedirect.com/science/article/pii/S0140673620302117)


42、2019年新型冠状病毒的基因组特征和流行病学研究对病毒起源和受体结合的意义

Genomic characterisation and epidemiology of 2019 novel coronavirus implications forvirus origins and receptor binding

RoujianLu, Xiang Zhao, Juan Li, Peihua Niu, Bo Yang, Honglong Wu, Wenling Wang, HaoSong, Baoying Huang, Na Zhu, Yuhai Bi, Xuejun Ma, Faxian Zhan, Liang Wang, TaoHu, Hong Zhou, Zhenhong Hu, Weimin Zhou, Li Zhao, Jing Chen, Yao Meng, Ji Wang,Yang Lin, Jianying Yuan, Zhihao Xie, Jinmin Ma, William J Liu, Dayan Wang,Wenbo Xu, Edward C Holmes, George F Gao, Guizhen Wu, Weijun Chen, Weifeng Shi,Wenjie Tan,Genomic characterisation and epidemiology of 2019 novel coronavirus:implications for virus origins and receptor binding,The Lancet,2020,ISSN0140-6736,https://doi.org/10.1016/S0140-6736(20)30251-8.(http://www.sciencedirect.com/science/article/pii/S0140673620302518)


43、新型冠状病毒2019(2019-nCoV)CDNA国家公共卫生部门指南

Novel Coronavirus 2019(2019-nCoV) CDNA National Guidelines for Public Health Unit

https://www1.health.gov.au/internet/main/publishing.nsf/Content/7A8654A8CB144F5FCA2584F8001F91E2/$File/Interim-advice-public-health-units-2019-nCoV-30012020.pdf


44、新型冠状病毒感染肺炎在中国武汉的早期传播动态

Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

Qun Li, M.Med., Xuhua Guan, Ph.D., Peng Wu, Ph.D., Xiaoye Wang, M.P.H., Lei Zhou, M.Med., Yeqing Tong, Ph.D., Ruiqi Ren, M.Med., Kathy S.M. Leung, Ph.D., Eric H.Y. Lau, Ph.D., Jessica Y. Wong, Ph.D., Xuesen Xing, Ph.D., Nijuan Xiang, M.Med., et al.


45、2019新型冠状病毒(2019-nCoV)使用SARS冠状病毒受体ACE2和细胞蛋白酶TMPRSS2进入靶细胞

The novel coronavirus 2019 (2019-nCoV) uses the SARS-coronavirus receptor ACE2 and the cellular protease TMPRSS2 for entry into target cells

Markus Hoffmann, Hannah Kleine-Weber, Nadine Krueger, Marcel A Mueller, Christian Drosten, Stefan Poehlmann

bioRxiv 2020.01.31.929042; doi: https://doi.org/10.1101/2020.01.31.929042


46、消化系统是2019-nCov感染的潜在途径:基于单细胞转录组的生物信息学分析

The digestive system is a potential route of 2019-nCov infection: a bioinformatics analysis based on single-cell transcriptomes

Hao Zhang, Zijian Kang, Haiyi Gong, Da Xu, Jing Wang, Zifu Li, Xingang Cui, Jianru Xiao, Tong Meng, Wang Zhou, Jianmin Liu, Huji Xu

bioRxiv 2020.01.30.927806; doi: https://doi.org/10.1101/2020.01.30.927806


47、2019 新型冠状病毒的进化和变异

Evolution and variation of 2019-novel coronavirus

Chenglong Xiong, Lufang Jiang, Yue Chen, Qingwu Jiang

bioRxiv 2020.01.30.926477; doi: https://doi.org/10.1101/2020.01.30.926477


48、2019-nCoV的S蛋白中独特插入片段与HIV-1 gp120 Gag的异常相似性

Uncanny similarity of unique inserts in the 2019-nCoV spike protein to HIV-1 gp120 and Gag

Prashant Pradhan, Ashutosh Kumar Pandey, Akhilesh Mishra, Parul Gupta, Praveen Kumar Tripathi, Manoj Balakrishna Menon, James Gomes, Perumal Vivekanandan, Bishwajit Kundu

bioRxiv 2020.01.30.927871; doi: https://doi.org/10.1101/2020.01.30.927871



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