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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Musa Ndiaye; Stephen S. Oyewobi; Adnan M. Abu-Mahfouz; Gerhard P. Hancke; +2 Authors

    The novel coronavirus (COVID-19), declared by the World Health Organization (WHO) as a global pandemic, has brought with it changes to the general way of life. Major sectors of the world industry and economy have been affected and the Internet of Things (IoT) management and framework is no exception in this regard. This article provides an up to date survey on how a global pandemic such as COVID-19 has affected the world of IoT technologies. It looks at the contributions that IoT and associated sensor technologies have made towards virus tracing, tracking and spread mitigation. The associated challenges of deployment of sensor hardware in the face of a rapidly spreading pandemic have been looked into as part of this review article. The effects of a global pandemic on the evolution of IoT architectures and management have also been addressed, leading to the likely outcomes on future IoT implementations. In general, this article provides an insight into the advancement of sensor-based E-health towards the management of global pandemics. It also answers the question of how a global virus pandemic has shaped the future of IoT networks.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ IEEE Accessarrow_drop_down
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    IEEE Access
    Article . 2020
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    DOAJ
    Article . 2020
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    IEEE Access
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    IEEE Access
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    IEEE Access
    Article . 2020 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ IEEE Accessarrow_drop_down
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      IEEE Access
      Article . 2020
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      DOAJ
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      IEEE Access
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      IEEE Access
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      IEEE Access
      Article . 2020 . Peer-reviewed
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    Authors: Naser Damer; Fadi Boutros; Marius Süßmilch; Florian Kirchbuchner; +1 Authors

    Face recognition is an essential technology in our daily lives as a contactless and convenient method of accurate identity verification. Processes such as secure login to electronic devices or identity verification at automatic border control gates are increasingly dependent on such technologies. The recent COVID‐19 pandemic has increased the focus on hygienic and contactless identity verification methods. The pandemic has led to the wide use of face masks, essential to keep the pandemic under control. The effect of mask‐wearing on face recognition in a collaborative environment is currently a sensitive yet understudied issue. Recent reports have tackled this by using face images with synthetic mask‐like face occlusions without exclusively assessing how representative they are of real face masks. These issues are addressed by presenting a specifically collected database containing three sessions, each with three different capture instructions, to simulate real use cases. The data are augmented to include previously used synthetic mask occlusions. Further studied is the effect of masked face probes on the behaviour of four face recognition systems-three academic and one commercial. This study evaluates both masked‐to‐non‐masked and masked‐to‐masked face comparisons. In addition, real masks in the database are compared with simulated masks to determine their comparative effects on face recognition performance.

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    IET Biometrics
    Article . 2021 . Peer-reviewed
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    IET Biometrics
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    Fraunhofer-ePrints
    Article . 2021
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Europe PubMed Centra...arrow_drop_down
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      IET Biometrics
      Article . 2021 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Article . 2021
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Kalichman, Seth C.; Shkembi, Bruno; Kalichman, Moira O.; Eaton, Lisa A.;

    Abstract Background SARS-CoV-2 infection (COVID-19) is potentially severe for individuals with compromised immune systems, including people living with HIV. Along with the direct health threats of COVID-19, there are disruptions to social relationships and health services resulting from mitigation efforts instituted by public health authorities. This study examined the relationship between trust in the government and trust in COVID-19 health information from the US CDC, state health departments, and social media on the experience of COVID-19 social and health services-related disruptions. Methods People living with HIV (N = 459) recruited through social media advertisements and chain referrals completed confidential surveys delivered through an online platform. Results Participants experienced high-levels of disruptions to social relationships and health services attributable to COVID-19 mitigation efforts. We also observed high-rates of inaccurate information and low-levels of trust in government and sources of COVID-19 information. Greater disruptions to social relationships were predicted by more concern about oneself and others contracting COVID-19, whereas disruptions to health services were predicted by greater concern for oneself contracting COVID-19, greater general medical mistrust, and less trust in information from the CDC. Conclusions Findings have implications for the necessity of rebuilding public trust in credible sources of health information and stepping up efforts to counter sources of inaccurate information.

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    BMC Public Health
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    BMC Public Health
    Article . 2021 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ BMC Public Healtharrow_drop_down
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      BMC Public Health
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      BMC Public Health
      Article . 2021 . Peer-reviewed
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    Authors: Chu, David C.;

    There has been an explosion of data published in a short period of time about COVID-19. It can be difficult for learners to stay on top of the latest information while also critically appraising each new piece of information. As a result, there can be a lack of local consensus on how to best manage these patients as new data continually becomes available.

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    Medical Education
    Article . 2020 . Peer-reviewed
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      Medical Education
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    Authors: Harwin de Vries; Marianne Jahre; Kostas Selviaridis; Kim E. van Oorschot; +1 Authors

    PurposeThis “impact pathways” paper argues that operations and supply chain management (OSCM) could help address the worsening drug shortage problem in high-income countries. This significant societal problem poses difficult challenges to stakeholders given the complex and dynamic nature of drug supply chains. OSCM scholars are well positioned to provide answers, introducing new research directions for OSCM in the process.Design/methodology/approachTo substantiate this, the authors carried out a review of stakeholder reports from six European countries and the academic literature.FindingsThere is little academic research and no fundamental agreement among stakeholders about causes of shortages. Stakeholders have suggested many government measures, but little evidence exists on their comparative cost-effectiveness.Originality/valueThe authors discuss three pathways of impactful research on drug shortages to which OSCM could contribute: (1) Developing an evidence-based system view of drug shortages; (2) Studying the comparative cost-effectiveness of key government interventions; (3) Bringing supply chain risk management into the government and economics perspectives and vice versa. Our study provides a baseline for future COVID-19-related research on this topic.

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    International Journal of Operations & Production Management
    Article . 2021 . Peer-reviewed
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      International Journal of Operations & Production Management
      Article . 2021 . Peer-reviewed
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    Authors: W. Wen; S. Yang; Peng Zhou; S.Z. Gao;

    Abstract Electric vehicle development is critical to achieve the sustainable goals, while the hit of COVID-19 strikes the market and brings challenges to the whole industry. China, among one of the earliest regions affected by COVID-19 and takes a great part in the global electric vehicle market, is attracting growing attention on its post-pandemic trends in the electric vehicle industry. This paper provides a comprehensive analysis of COVID-19 impacts on China's electric vehicle industry from both the demand side and the supply side. Both challenges and opportunities for China's electric vehicle development are revealed with emerging trend analysis. It is found that the COVID-19 outbreak has reduced electric vehicle sales in the short-term, but may also stimulate future electric vehicle demand especially for large electric cars with better performance. Meanwhile, travel restrictions caused by COVID-19 have interrupted electric vehicle material supplies that relying on imports, accelerating domestic substitute exploitation and inventory improvement for critical parts. Additionally, massive lockdowns for controlling COVID-19 have disrupted productions and operations, which tends to expel small brands out of the competitive market, concentrating China's electric vehicle industry to the leading brands. Finally, the social distancing trend after pandemic is bringing challenges to traditional EV distribution channels with dealers, pushing automakers to develop innovative online selling channels. These impacts are likely to lead to a reformation of China's electric vehicle industry towards a more advanced and reliable future.

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    Renewable and Sustainable Energy Reviews
    Article . 2021 . Peer-reviewed
    License: Elsevier TDM
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      Renewable and Sustainable Energy Reviews
      Article . 2021 . Peer-reviewed
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    Authors: Chen, Hai-Bao; Pei, Ling-Ling; Zhao, Yu-Feng;

    Abstract The aim of this research is to forecast seasonal fluctuations in electricity consumption, and electricity usage efficiency of industrial sectors and identify the impacts of the novel coronavirus disease 2019 (COVID-19). For this purpose, a new seasonal grey prediction model (AWBO-DGGM(1,1)) is proposed: it combines buffer operators and the DGGM(1,1) model. Based on the quarterly data of the industrial enterprises in Zhejiang Province of China from the first quarter of 2013 to the first quarter of 2020, the GM(1,1), DGGM(1,1), SVM, and AWBO-DGGM(1,1) models are employed, respectively, to simulate and forecast seasonal variations in electricity consumption, the added value, and electricity usage efficiency. The results indicate that the AWBO-DGGM(1,1) models can identify seasonal fluctuations and variations in time series data, and predict the impact of COVID-19 on industrial systems. The minimum mean absolute percentage errors (MAPEs) of the electricity consumption, added value, and electricity usage efficiency of industrial enterprises separately are 0.12%, 0.10%, and 3.01% in the training stage, while those in the test stage are 6.79%, 4.09%, and 2.25%, respectively. The electricity consumption, added value, and electricity usage efficiency of industrial enterprises in Zhejiang Province will still present a tendency to grow with seasonal fluctuations from 2020 to 2022. Of them, the added value is predicted to increase the fastest, followed by electricity consumption.

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    Energy
    Article . 2021 . Peer-reviewed
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    Energy
    Article . 2020
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      Energy
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      Article . 2020
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  • Authors: Hongwei Zhu; Xuesong Wang;

    With the continuous progress of social science and technology, the development of the Internet of things is growing With the development of Internet of things, security problems emerge in endlessly During the period of COVID-19, the Internet of Things have been widely used to fight virus outbreak However, the most serious security problem of the Internet of things is network intrusion This paper proposes a balanced quadratic support vector machine information security analysis method for Internet of things Compared with the traditional support vector machine Internet of things security analysis method, this method has a higher accuracy, and can shorten the detection time, with efficient and powerful characteristics The method proposed in this paper has certain reference value to the Internet of things network intrusion problem It provides better security for the Internet of things during the protection period of covid-19 © 2020 - IOS Press and the authors All rights reserved

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    Authors: Lee, Yuan (author); Bersin, Eric (author); Dahlberg, E.A. (author); Wehner, S.D.C. (author); +1 Authors

    We present an architecture for multiplexed quantum repeaters using local connectivity to improve fidelity in entanglement distribution. Simulations indicate our scheme achieves rates comparable to competing schemes, with fidelity improvements that increase with repeater size. Virtual/online event due to COVID-19 QID/Wehner Group Quantum Internet Division Quantum Information and Software

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    https://doi.org/10.1364/cleo_q...
    Conference object . 2020 . Peer-reviewed
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      https://doi.org/10.1364/cleo_q...
      Conference object . 2020 . Peer-reviewed
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    Authors: Uehara, Minoru;

    In recent years, the need for programming has increased. Self-study in programing is important for mastering it. However, many sites for learning programming only support personal computers. JavaScript Development Environment (JDE) was developed in our previous research. JDE is a single-page application that allows a user to learn programming on a smartphone. It imposes a small load on the server, thus many people can use it at the same time. Because it does not use a computer, it can be used in a classroom. Furthermore, JDE is suitable for distance learning (or e-learning). The number of remote classes has increased in Japan in 2020, as a result of the coronavirus pandemic. In this paper, we introduce an example of distance learning using JDE and verify the effectiveness of JDE.

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    https://doi.org/10.1007/978-3-...
    Part of book or chapter of book . 2020 . Peer-reviewed
    License: Springer TDM
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      https://doi.org/10.1007/978-3-...
      Part of book or chapter of book . 2020 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Musa Ndiaye; Stephen S. Oyewobi; Adnan M. Abu-Mahfouz; Gerhard P. Hancke; +2 Authors

    The novel coronavirus (COVID-19), declared by the World Health Organization (WHO) as a global pandemic, has brought with it changes to the general way of life. Major sectors of the world industry and economy have been affected and the Internet of Things (IoT) management and framework is no exception in this regard. This article provides an up to date survey on how a global pandemic such as COVID-19 has affected the world of IoT technologies. It looks at the contributions that IoT and associated sensor technologies have made towards virus tracing, tracking and spread mitigation. The associated challenges of deployment of sensor hardware in the face of a rapidly spreading pandemic have been looked into as part of this review article. The effects of a global pandemic on the evolution of IoT architectures and management have also been addressed, leading to the likely outcomes on future IoT implementations. In general, this article provides an insight into the advancement of sensor-based E-health towards the management of global pandemics. It also answers the question of how a global virus pandemic has shaped the future of IoT networks.

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    IEEE Access
    Article . 2020
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    Article . 2020
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      IEEE Access
      Article . 2020 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
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    Authors: Naser Damer; Fadi Boutros; Marius Süßmilch; Florian Kirchbuchner; +1 Authors

    Face recognition is an essential technology in our daily lives as a contactless and convenient method of accurate identity verification. Processes such as secure login to electronic devices or identity verification at automatic border control gates are increasingly dependent on such technologies. The recent COVID‐19 pandemic has increased the focus on hygienic and contactless identity verification methods. The pandemic has led to the wide use of face masks, essential to keep the pandemic under control. The effect of mask‐wearing on face recognition in a collaborative environment is currently a sensitive yet understudied issue. Recent reports have tackled this by using face images with synthetic mask‐like face occlusions without exclusively assessing how representative they are of real face masks. These issues are addressed by presenting a specifically collected database containing three sessions, each with three different capture instructions, to simulate real use cases. The data are augmented to include previously used synthetic mask occlusions. Further studied is the effect of masked face probes on the behaviour of four face recognition systems-three academic and one commercial. This study evaluates both masked‐to‐non‐masked and masked‐to‐masked face comparisons. In addition, real masks in the database are compared with simulated masks to determine their comparative effects on face recognition performance.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Europe PubMed Centra...arrow_drop_down
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    IET Biometrics
    Article . 2021 . Peer-reviewed
    License: CC BY NC ND
    Data sources: Crossref
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    IET Biometrics
    Article
    License: CC BY NC ND
    Data sources: UnpayWall
    Fraunhofer-ePrints
    Article . 2021
    Data sources: Fraunhofer-ePrints
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Europe PubMed Centra...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      IET Biometrics
      Article . 2021 . Peer-reviewed
      License: CC BY NC ND
      Data sources: Crossref
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      IET Biometrics
      Article
      License: CC BY NC ND
      Data sources: UnpayWall
      Fraunhofer-ePrints
      Article . 2021
      Data sources: Fraunhofer-ePrints
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Kalichman, Seth C.; Shkembi, Bruno; Kalichman, Moira O.; Eaton, Lisa A.;

    Abstract Background SARS-CoV-2 infection (COVID-19) is potentially severe for individuals with compromised immune systems, including people living with HIV. Along with the direct health threats of COVID-19, there are disruptions to social relationships and health services resulting from mitigation efforts instituted by public health authorities. This study examined the relationship between trust in the government and trust in COVID-19 health information from the US CDC, state health departments, and social media on the experience of COVID-19 social and health services-related disruptions. Methods People living with HIV (N = 459) recruited through social media advertisements and chain referrals completed confidential surveys delivered through an online platform. Results Participants experienced high-levels of disruptions to social relationships and health services attributable to COVID-19 mitigation efforts. We also observed high-rates of inaccurate information and low-levels of trust in government and sources of COVID-19 information. Greater disruptions to social relationships were predicted by more concern about oneself and others contracting COVID-19, whereas disruptions to health services were predicted by greater concern for oneself contracting COVID-19, greater general medical mistrust, and less trust in information from the CDC. Conclusions Findings have implications for the necessity of rebuilding public trust in credible sources of health information and stepping up efforts to counter sources of inaccurate information.

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