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  1. Article ; Online: Targeted interventions for individuals at high risk is essential for mpox control.

    Shen, Mingwang / Lai, Hao / Zhang, Lei

    The Lancet. Infectious diseases

    2023  Volume 24, Issue 1, Page(s) 8–9

    MeSH term(s) Humans ; Mpox (monkeypox)/prevention & control
    Language English
    Publishing date 2023-09-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2061641-7
    ISSN 1474-4457 ; 1473-3099
    ISSN (online) 1474-4457
    ISSN 1473-3099
    DOI 10.1016/S1473-3099(23)00516-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Feasibility of gonorrhoea vaccination among men who have sex with men in England.

    Shen, Mingwang / Zhang, Lei

    The Lancet. Infectious diseases

    2022  Volume 22, Issue 7, Page(s) 921–923

    MeSH term(s) Feasibility Studies ; Gonorrhea/epidemiology ; Gonorrhea/prevention & control ; Homosexuality, Male ; Humans ; Male ; Sexual Behavior ; Sexual and Gender Minorities ; Vaccination
    Language English
    Publishing date 2022-04-12
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2061641-7
    ISSN 1474-4457 ; 1473-3099
    ISSN (online) 1474-4457
    ISSN 1473-3099
    DOI 10.1016/S1473-3099(21)00760-X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Do Infrared Thermometers Hold Promise for an Effective Early Warning System for Emerging Respiratory Infectious Diseases?

    Li, Rui / Shen, Mingwang / Liu, Hanting / Bai, Lu / Zhang, Lei

    JMIR formative research

    2023  Volume 7, Page(s) e42548

    Abstract: Background: Major respiratory infectious diseases, such as influenza, SARS-CoV, and SARS-CoV-2, have caused historic global pandemics with severe disease and economic burdens. Early warning and timely intervention are key to suppress such outbreaks.: ... ...

    Abstract Background: Major respiratory infectious diseases, such as influenza, SARS-CoV, and SARS-CoV-2, have caused historic global pandemics with severe disease and economic burdens. Early warning and timely intervention are key to suppress such outbreaks.
    Objective: We propose a theoretical framework for a community-based early warning (EWS) system that will proactively detect temperature abnormalities in the community based on a collective network of infrared thermometer-enabled smartphone devices.
    Methods: We developed a framework for a community-based EWS and demonstrated its operation with a schematic flowchart. We emphasize the potential feasibility of the EWS and potential obstacles.
    Results: Overall, the framework uses advanced artificial intelligence (AI) technology on cloud computing platforms to identify the probability of an outbreak in a timely manner. It hinges on the detection of geospatial temperature abnormalities in the community based on mass data collection, cloud-based computing and analysis, decision-making, and feedback. The EWS may be feasible for implementation considering its public acceptance, technical practicality, and value for money. However, it is important that the proposed framework work in parallel or in combination with other early warning mechanisms due to a relatively long initial model training process.
    Conclusions: The framework, if implemented, may provide an important tool for important decisions for early prevention and control of respiratory diseases for health stakeholders.
    Language English
    Publishing date 2023-05-03
    Publishing country Canada
    Document type Journal Article
    ISSN 2561-326X
    ISSN (online) 2561-326X
    DOI 10.2196/42548
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Antiviral Efficacy of Molnupiravir for COVID-19 Treatment.

    Bai, Yuan / Shen, Mingwang / Zhang, Lei

    Viruses

    2022  Volume 14, Issue 4

    Abstract: The ongoing global pandemic of COVID-19 poses unprecedented public health risks for governments and societies around the world, which have been exacerbated by the emergence of SARS-CoV-2 variants. Pharmaceutical interventions with high antiviral efficacy ...

    Abstract The ongoing global pandemic of COVID-19 poses unprecedented public health risks for governments and societies around the world, which have been exacerbated by the emergence of SARS-CoV-2 variants. Pharmaceutical interventions with high antiviral efficacy are expected to delay and contain the COVID-19 pandemic. Molnupiravir, as an oral antiviral prodrug, is active against SARS-CoV-2 and is now (23 February 2022) one of the seven widely-used coronavirus treatments. To estimate its antiviral efficacy of Molnupiravir, we built a granular mathematical within-host model. We find that the antiviral efficacy of Molnupiravir to stop the growth of the virus is 0.56 (95% CI: 0.49, 0.64), which could inhibit 56% of the replication of infected cells per day. There has been good progress in developing high-efficacy antiviral drugs that rapidly reduce viral load and may also reduce the infectiousness of treated cases if administered as early as possible.
    MeSH term(s) Antiviral Agents/pharmacology ; Antiviral Agents/therapeutic use ; COVID-19/drug therapy ; Cytidine/analogs & derivatives ; Humans ; Hydroxylamines ; Pandemics ; SARS-CoV-2
    Chemical Substances Antiviral Agents ; Hydroxylamines ; Cytidine (5CSZ8459RP) ; molnupiravir (YA84KI1VEW)
    Language English
    Publishing date 2022-04-06
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2516098-9
    ISSN 1999-4915 ; 1999-4915
    ISSN (online) 1999-4915
    ISSN 1999-4915
    DOI 10.3390/v14040763
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Mass testing-An underexplored strategy for COVID-19 control.

    Shen, Mingwang / Xiao, Yanni / Zhuang, Guihua / Li, Yan / Zhang, Lei

    Innovation (New York, N.Y.)

    2021  Volume 2, Issue 2, Page(s) 100114

    Language English
    Publishing date 2021-04-29
    Publishing country United States
    Document type News
    ISSN 2666-6758
    ISSN (online) 2666-6758
    DOI 10.1016/j.xinn.2021.100114
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Modeling the Epidemic Trend of the 2019 Novel Coronavirus Outbreak in China.

    Shen, Mingwang / Peng, Zhihang / Xiao, Yanni / Zhang, Lei

    Innovation (New York, N.Y.)

    2020  Volume 1, Issue 3, Page(s) 100048

    Language English
    Publishing date 2020-09-28
    Publishing country United States
    Document type News
    ISSN 2666-6758
    ISSN (online) 2666-6758
    DOI 10.1016/j.xinn.2020.100048
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Mass testing—An underexplored strategy for COVID-19 control

    Mingwang Shen / Yanni Xiao / Guihua Zhuang / Yan Li / Lei Zhang

    The Innovation, Vol 2, Iss 2, Pp 100114- (2021)

    2021  

    Keywords Science (General) ; Q1-390
    Language English
    Publishing date 2021-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study.

    Li, Miaolei / Zu, Jian / Li, Zongfang / Shen, Mingwang / Li, Yan / Ji, Fanpu

    Frontiers in medicine

    2021  Volume 8, Page(s) 641205

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2021-08-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2021.641205
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Modeling the Epidemic Trend of the 2019 Novel Coronavirus Outbreak in China

    Mingwang Shen / Zhihang Peng / Yanni Xiao / Lei Zhang

    The Innovation, Vol 1, Iss 3, Pp 100048- (2020)

    2020  

    Keywords Science (General) ; Q1-390
    Language English
    Publishing date 2020-11-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: A multi-strain model with asymptomatic transmission: Application to COVID-19 in the US.

    Gao, Shasha / Shen, Mingwang / Wang, Xueying / Wang, Jin / Martcheva, Maia / Rong, Libin

    Journal of theoretical biology

    2023  Volume 565, Page(s) 111468

    Abstract: COVID-19, induced by the SARS-CoV-2 infection, has caused an unprecedented pandemic in the world. New variants of the virus have emerged and dominated the virus population. In this paper, we develop a multi-strain model with asymptomatic transmission to ... ...

    Abstract COVID-19, induced by the SARS-CoV-2 infection, has caused an unprecedented pandemic in the world. New variants of the virus have emerged and dominated the virus population. In this paper, we develop a multi-strain model with asymptomatic transmission to study how the asymptomatic or pre-symptomatic infection influences the transmission between different strains and control strategies that aim to mitigate the pandemic. Both analytical and numerical results reveal that the competitive exclusion principle still holds for the model with the asymptomatic transmission. By fitting the model to the COVID-19 case and viral variant data in the US, we show that the omicron variants are more transmissible but less fatal than the previously circulating variants. The basic reproduction number for the omicron variants is estimated to be 11.15, larger than that for the previous variants. Using mask mandate as an example of non-pharmaceutical interventions, we show that implementing it before the prevalence peak can significantly lower and postpone the peak. The time of lifting the mask mandate can affect the emergence and frequency of subsequent waves. Lifting before the peak will result in an earlier and much higher subsequent wave. Caution should also be taken to lift the restriction when a large portion of the population remains susceptible. The methods and results obtained her e may be applied to the study of the dynamics of other infectious diseases with asymptomatic transmission using other control measures.
    MeSH term(s) Female ; Humans ; COVID-19/epidemiology ; SARS-CoV-2 ; Basic Reproduction Number ; Pandemics
    Language English
    Publishing date 2023-03-20
    Publishing country England
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, Non-U.S. Gov't
    ZDB-ID 2972-5
    ISSN 1095-8541 ; 0022-5193
    ISSN (online) 1095-8541
    ISSN 0022-5193
    DOI 10.1016/j.jtbi.2023.111468
    Database MEDical Literature Analysis and Retrieval System OnLINE

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