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  1. Article ; Online: Impact of preoperative virtual reality education on surgical patients: additional considerations.

    Zhan, Zhi-Qing / Cheng, Zhangkai J

    International journal of surgery (London, England)

    2024  

    Language English
    Publishing date 2024-03-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2212038-5
    ISSN 1743-9159 ; 1743-9191
    ISSN (online) 1743-9159
    ISSN 1743-9191
    DOI 10.1097/JS9.0000000000001298
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6502: Show issues Location:
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  2. Article ; Online: Correction: 2019 Novel coronavirus: where we are and what we know.

    Cheng, Zhangkai J / Shan, Jing

    Infection

    2023  Volume 51, Issue 3, Page(s) 801

    Language English
    Publishing date 2023-03-01
    Publishing country Germany
    Document type Published Erratum
    ZDB-ID 185104-4
    ISSN 1439-0973 ; 0300-8126 ; 0173-2129
    ISSN (online) 1439-0973
    ISSN 0300-8126 ; 0173-2129
    DOI 10.1007/s15010-023-01991-3
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    Zs.A 881: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 528: Show issues

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  3. Article ; Online: Correction: 2019 Novel coronavirus: where we are and what we know.

    Cheng, Zhangkai J / Shan, Jing

    Infection

    2022  Volume 50, Issue 6, Page(s) 1637

    Language English
    Publishing date 2022-08-27
    Publishing country Germany
    Document type Published Erratum
    ZDB-ID 185104-4
    ISSN 1439-0973 ; 0300-8126 ; 0173-2129
    ISSN (online) 1439-0973
    ISSN 0300-8126 ; 0173-2129
    DOI 10.1007/s15010-022-01894-9
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    Zs.A 881: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
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  4. Article ; Online: Zero-Covid Strategy: What's Next?

    Zhan, Zhiqing / Li, Jie / Cheng, Zhangkai J

    International journal of health policy and management

    2022  Volume 12, Page(s) 6757

    MeSH term(s) Humans ; COVID-19/prevention & control
    Language English
    Publishing date 2022-01-25
    Publishing country Iran
    Document type Journal Article
    ZDB-ID 2724317-5
    ISSN 2322-5939 ; 2322-5939
    ISSN (online) 2322-5939
    ISSN 2322-5939
    DOI 10.34172/ijhpm.2022.6757
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Correction to: 2019 Novel coronavirus: where we are and what we know.

    Cheng, Zhangkai J / Shan, Jing

    Infection

    2020  Volume 49, Issue 1, Page(s) 197

    Keywords covid19
    Language English
    Publishing date 2020-12-14
    Publishing country Germany
    Document type Published Erratum
    ZDB-ID 185104-4
    ISSN 1439-0973 ; 0300-8126 ; 0173-2129
    ISSN (online) 1439-0973
    ISSN 0300-8126 ; 0173-2129
    DOI 10.1007/s15010-020-01552-y
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  6. Article: Association between Atopic Dermatitis and Colorectal Cancer: TET2 as a Shared Gene Signature and Prognostic Biomarker.

    Zhan, Zhi-Qing / Huang, Ze-Min / Zeng, Rui-Qi / Luo, Yu-Hua / Xie, Zhi-Xin / Chen, Ying-Zhou / Chen, Pei-Zhen / Luo, Tian-Ye / Sun, Baoqing / Cheng, Zhangkai J

    Journal of Cancer

    2024  Volume 15, Issue 5, Page(s) 1414–1428

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-01-20
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2573318-7
    ISSN 1837-9664
    ISSN 1837-9664
    DOI 10.7150/jca.92238
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  7. Article ; Online: Rapid Antigen Test Combine with Nucleic Acid Detection: A Better Strategy for COVID-19 Screening at Points of Entry.

    Zhan, Zhiqing / Li, Jie / Cheng, Zhangkai J

    Journal of epidemiology and global health

    2022  Volume 12, Issue 1, Page(s) 13–15

    Abstract: The coronavirus disease 2019 (COVID-19) pandemic has imposed an enormous disease burden worldwide, and the Delta variant now has become dominant in 53 countries. Recently published studies have shown that during periods of high viral load, rapid antigen ... ...

    Abstract The coronavirus disease 2019 (COVID-19) pandemic has imposed an enormous disease burden worldwide, and the Delta variant now has become dominant in 53 countries. Recently published studies have shown that during periods of high viral load, rapid antigen tests (RAT) yield similar results to reverse transcriptase-polymerase chain reaction (RT-PCR) tests, and when used in serial screening (e.g., every three days), it has a high sensitivity. In this perspective, we recommend RT-PCR combined with RAT at points of entry: (i) RAT can be added to the detection phase at ports of entry to detect asymptomatic infections as early as possible; (ii) RAT can be added to post-entry quarantine every three days or less to reduce the rate of missed detection in later quarantine; (iii) Adding regular RAT to regular PCR testing for key airport personnel to prevent cross-infection and conduct closed-off management. In the face of sporadic Delta variant outbreaks, the combination of the two could help rapid triage and management of suspected populations at an early stage and thus contain the outbreak more quickly and effectively. We also discuss the issue whether the current antigen detection reagents can cope with various SARS-CoV-2 variants.
    MeSH term(s) Antigens, Viral/analysis ; COVID-19/diagnosis ; COVID-19/prevention & control ; COVID-19 Nucleic Acid Testing ; COVID-19 Testing/methods ; Humans ; Mass Screening ; Pandemics/prevention & control ; SARS-CoV-2 ; Sensitivity and Specificity
    Chemical Substances Antigens, Viral
    Language English
    Publishing date 2022-01-03
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2645324-1
    ISSN 2210-6014 ; 2210-6014
    ISSN (online) 2210-6014
    ISSN 2210-6014
    DOI 10.1007/s44197-021-00030-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: 2019 Novel coronavirus: where we are and what we know.

    Cheng, Zhangkai J / Shan, Jing

    Infection

    2020  Volume 48, Issue 2, Page(s) 155–163

    Abstract: There is a current worldwide outbreak of a new type of coronavirus (2019-nCoV), which originated from Wuhan in China and has now spread to 17 other countries. Governments are under increased pressure to stop the outbreak spiraling into a global health ... ...

    Abstract There is a current worldwide outbreak of a new type of coronavirus (2019-nCoV), which originated from Wuhan in China and has now spread to 17 other countries. Governments are under increased pressure to stop the outbreak spiraling into a global health emergency. At this stage, preparedness, transparency, and sharing of information are crucial to risk assessments and beginning outbreak control activities. This information should include reports from outbreak sites and from laboratories supporting the investigation. This paper aggregates and consolidates the virology, epidemiology, clinical management strategies from both English and Chinese literature, official news channels, and other official government documents. In addition, by fitting the number of infections with a single-term exponential model, we report that the infection is spreading at an exponential rate, with a doubling period of 1.8 days.
    MeSH term(s) Animals ; Betacoronavirus/classification ; Betacoronavirus/physiology ; COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/pathology ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Disease Management ; Guidelines as Topic/standards ; Humans ; Pandemics/prevention & control ; Pandemics/statistics & numerical data ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/pathology ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; SARS-CoV-2 ; World Health Organization
    Keywords covid19
    Language English
    Publishing date 2020-02-18
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 185104-4
    ISSN 1439-0973 ; 0300-8126 ; 0173-2129
    ISSN (online) 1439-0973
    ISSN 0300-8126 ; 0173-2129
    DOI 10.1007/s15010-020-01401-y
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 881: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 528: Show issues

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  9. Article ; Online: Decoding acute myocarditis in patients with COVID-19

    Haiyang Li / Zhangkai J. Cheng / Xing Fu / Mingtao Liu / Peng Liu / Wenhan Cao / Zhiman Liang / Fei Wang / Baoqing Sun

    iScience, Vol 27, Iss 2, Pp 108524- (2024)

    Early detection through machine learning and hematological indices

    2024  

    Abstract: Summary: During the persistent COVID-19 pandemic, the swift progression of acute myocarditis has emerged as a profound concern due to its augmented mortality, underscoring the urgency of prompt diagnosis. This study analyzed blood samples from 5,230 ... ...

    Abstract Summary: During the persistent COVID-19 pandemic, the swift progression of acute myocarditis has emerged as a profound concern due to its augmented mortality, underscoring the urgency of prompt diagnosis. This study analyzed blood samples from 5,230 COVID-19 individuals, identifying key blood and myocardial markers that illuminate the relationship between COVID-19 severity and myocarditis. A predictive model, applying Bayesian and random forest methodologies, was constructed for myocarditis' early identification, unveiling a balanced gender distribution in myocarditis cases contrary to a male predominance in COVID-19 occurrences. Particularly, older men exhibited heightened vulnerability to severe COVID-19 strains. The analysis revealed myocarditis was notably prevalent in younger demographics, and two subvariants COVID-19 progression paths were identified, characterized by symptom intensity and specific blood indicators. The enhanced myocardial marker model displayed remarkable diagnostic accuracy, advocating its valuable application in future myocarditis detection and treatment strategies amidst the COVID-19 crisis.
    Keywords Health sciences ; Diagnostics ; Artificial intelligence ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2024-02-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Radiotherapy dose calculations in high-Z materials: comprehensive comparison between experiment, Monte Carlo, and conventional planning algorithms.

    Cheng, Zhangkai J / Bromley, Regina M / Oborn, Brad / Booth, Jeremy T

    Biomedical physics & engineering express

    2021  Volume 7, Issue 3

    Abstract: ... ...

    Abstract Purpose
    MeSH term(s) Algorithms ; Metals ; Monte Carlo Method ; Phantoms, Imaging ; Photons ; Radiotherapy Planning, Computer-Assisted
    Chemical Substances Metals
    Language English
    Publishing date 2021-04-22
    Publishing country England
    Document type Journal Article
    ISSN 2057-1976
    ISSN (online) 2057-1976
    DOI 10.1088/2057-1976/abf6ac
    Database MEDical Literature Analysis and Retrieval System OnLINE

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