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Huang C, Qiu Y, Fang Y, Chen G, Xu X, Xie J, Hu Z, Zheng K, He F. Visual analysis of the prevention and control measures of COVID-19 in Chinese ports. Environ Sci Pollut Res Int 2023; 30:80432-80441. [PMID: 37300729 PMCID: PMC10257174 DOI: 10.1007/s11356-023-27925-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023]
Abstract
In 2022, COVID-19 solutions in China have entered a normal stage, and the solutions imported from ports have been transformed from emergency prevention and control measures to investigative long-term prevention and control measures. Therefore, it is necessary to study solutions for COVID-19 at border ports. In this study, 170 research papers related to the prevention and control measures of COVID-19 at ports from 2020 to September 2022 were retrieved from Wanfang database, HowNet database, Wip database, and WoS core collection. Citespace 6.1.R2 software was used to research institutions visualize and analyze researchers and keywords to explore their research hotspots and trends. After analysis, the overall volume of documents issued in the past 3 years was stable. The major contributors are scientific research teams such as the Chinese Academy of Inspection and Quarantine Sciences (Han Hui et al.) and Beijing Customs (Sun Xiaodong et al.), with less cross-agency cooperation. The top five high-frequency keywords with cumulative frequency are as follows: COVID-19 (29 times), epidemic prevention and control (29 times), ports (28 times), health quarantine (16 times), and risk assessment (16 times). The research hotspots in the field of prevention and control measures for COVID-19 at ports are constantly changing with the progress of epidemic prevention and control. Cooperation between research institutions needs to be strengthened urgently. The research hotspots are the imported epidemic prevention and control, risk assessment, port health quarantine, and the normalized epidemic prevention and control mechanism, which is the trend of research and needs further exploration in the future.
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Affiliation(s)
- Chunyan Huang
- Department of Scientific Research Education and Information Management, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, 350012, China
| | | | - Yiliang Fang
- Fuzhou International Travel Health Center, Fuzhou, 350001, China
| | - Guangmin Chen
- The practice base on the School of Public Health, Fujian Medical University, Fuzhou, 350012, China
- Fujian Provincial Center for Disease Control & Prevention, Fuzhou, 350012, China
- Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou, 350012, China
| | - Xinying Xu
- Department of Epidemiology and Health Statistics, Fujian Medical University, Fuzhou, 350122, China
- Digital Tumor Data Research Center, Fuzhou, 350122, China
| | - Jianfeng Xie
- AIDS/STD Prevention and Treatment Institute, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, 350012, China
| | - Zhijian Hu
- Department of Epidemiology and Health Statistics, Fujian Medical University, Fuzhou, 350122, China
- Digital Tumor Data Research Center, Fuzhou, 350122, China
| | - Kuicheng Zheng
- The practice base on the School of Public Health, Fujian Medical University, Fuzhou, 350012, China
| | - Fei He
- Department of Epidemiology and Health Statistics, Fujian Medical University, Fuzhou, 350122, China.
- Digital Tumor Data Research Center, Fuzhou, 350122, China.
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Korencak M, Sivalingam S, Sahu A, Dressen D, Schmidt A, Brand F, Krawitz P, Hart L, Maria Eis-Hübinger A, Buness A, Streeck H. Reconstruction of the Origin of the First Major SARS-CoV-2 Outbreak in Germany. Comput Struct Biotechnol J 2022; 20:2292-2296. [PMID: 35574268 PMCID: PMC9088089 DOI: 10.1016/j.csbj.2022.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/06/2022] [Accepted: 05/06/2022] [Indexed: 11/27/2022] Open
Abstract
The first major COVID-19 outbreak in Germany occurred in Heinsberg in February 2020 with 388 officially reported cases. Unexpectedly, the first outbreak happened in a small town with little to no travelers. We used phylogenetic analyses to investigate the origin and spread of the virus in this outbreak. We sequenced 90 (23%) SARS-CoV-2 genomes from the 388 reported cases including the samples from the first documented cases. Phylogenetic analyses of these sequences revealed mainly two circulating strains with 74 samples assigned to lineage B.3 and 6 samples assigned to lineage B.1. Lineage B.3 was introduced first and probably caused the initial spread. Using phylogenetic analysis tools, we were able to identify closely related strains in France and hypothesized the possible introduction from France.
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Affiliation(s)
- Marek Korencak
- Institute of Virology, University Hospital Bonn, Venusberg-Campus 1, Bonn 53127, Germany
| | - Sugirthan Sivalingam
- Institute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Venusberg-Campus 1, Bonn 53127, Germany
- Core Unit for Bioinformatics Data Analysis, Medical Faculty, University of Bonn, Venusberg-Campus 1, Bonn 53127, Germany
| | - Anshupa Sahu
- Institute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Venusberg-Campus 1, Bonn 53127, Germany
- Core Unit for Bioinformatics Data Analysis, Medical Faculty, University of Bonn, Venusberg-Campus 1, Bonn 53127, Germany
| | - Dietmar Dressen
- Labor Mönchengladbach MVZ Dr. Stein & Kollegen GbR, Tomphecke 45, Mönchengladbach 41169, Germany
| | - Axel Schmidt
- Institute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Venusberg-Campus 1, Bonn 53127, Germany
| | - Fabian Brand
- Institute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Venusberg-Campus 1, Bonn 53127, Germany
| | - Peter Krawitz
- Institute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Venusberg-Campus 1, Bonn 53127, Germany
| | - Libor Hart
- Department of Oral and Maxillofacial Surgery, University of Duisburg-Essen, Henricistr. 92, Essen 45136, Germany
| | | | - Andreas Buness
- Institute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Venusberg-Campus 1, Bonn 53127, Germany
- Core Unit for Bioinformatics Data Analysis, Medical Faculty, University of Bonn, Venusberg-Campus 1, Bonn 53127, Germany
| | - Hendrik Streeck
- Institute of Virology, University Hospital Bonn, Venusberg-Campus 1, Bonn 53127, Germany
- Corresponding author.
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Waller L, Guo Z, Tang R, Zhang Z, Wang E, Yasuhara-Bell J, Laurent L, Lo YH. High Sensitivity, Rapid Detection of Virus in High Traffic Environments. Front Bioeng Biotechnol 2022; 10:877603. [PMID: 35402391 PMCID: PMC8989402 DOI: 10.3389/fbioe.2022.877603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 03/11/2022] [Indexed: 12/28/2022] Open
Abstract
The global pandemic caused by the SARS-CoV-2 virus has underscored the need for rapid, simple, scalable, and high-throughput multiplex diagnostics in non-laboratory settings. Here we demonstrate a multiplex reverse-transcription loop-mediated isothermal amplification (RT-LAMP) coupled with a gold nanoparticle-based lateral flow immunoassay (LFIA) capable of detecting up to three unique viral gene targets in 15 min. RT-LAMP primers associated with three separate gene targets from the SARS-CoV-2 virus (Orf1ab, Envelope, and Nucleocapsid) were added to a one-pot mix. A colorimetric change from red to yellow occurs in the presence of a positive sample. Positive samples are run through a LFIA to achieve specificity on a multiplex three-test line paper assay. Positive results are indicated by a characteristic crimson line. The device is almost fully automated and is deployable in any community setting with a power source.
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Affiliation(s)
- Lauren Waller
- Department of Bioengineering, University of California, San Diego, San Diego, CA, United States
| | - Zhilin Guo
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, San Diego, CA, United States
| | - Rui Tang
- Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, United States
| | - Zunming Zhang
- Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, United States
| | - Edward Wang
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, San Diego, CA, United States
| | | | - Louise Laurent
- Department of Obstetrics and Gynecology and Reproductive Sciences, University of California, San Diego, San Diego, CA, United States
| | - Yu-Hwa Lo
- Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, United States
- *Correspondence: Yu-Hwa Lo,
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