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  1. Article ; Online: Simulating COVID-19 in a university environment.

    Gressman, Philip T / Peck, Jennifer R

    Mathematical biosciences

    2020  Volume 328, Page(s) 108436

    Abstract: Residential colleges and universities face unique challenges in providing in-person instruction during the COVID-19 pandemic. Administrators are currently faced with decisions about whether to open during the pandemic and what modifications of their ... ...

    Abstract Residential colleges and universities face unique challenges in providing in-person instruction during the COVID-19 pandemic. Administrators are currently faced with decisions about whether to open during the pandemic and what modifications of their normal operations might be necessary to protect students, faculty and staff. There is little information, however, on what measures are likely to be most effective and whether existing interventions could contain the spread of an outbreak on campus. We develop a full-scale stochastic agent-based model to determine whether in-person instruction could safely continue during the pandemic and evaluate the necessity of various interventions. Simulation results indicate that large scale randomized testing, contact-tracing, and quarantining are important components of a successful strategy for containing campus outbreaks. High test specificity is critical for keeping the size of the quarantine population manageable. Moving the largest classes online is also crucial for controlling both the size of outbreaks and the number of students in quarantine. Increased residential exposure can significantly impact the size of an outbreak, but it is likely more important to control non-residential social exposure among students. Finally, necessarily high quarantine rates even in controlled outbreaks imply significant absenteeism, indicating a need to plan for remote instruction of quarantined students.
    MeSH term(s) Betacoronavirus ; COVID-19 ; COVID-19 Testing ; Clinical Laboratory Techniques ; Computer Simulation ; Contact Tracing ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Disease Outbreaks/prevention & control ; Disease Outbreaks/statistics & numerical data ; Education, Distance ; Housing ; Humans ; Masks ; Mathematical Concepts ; Pandemics/prevention & control ; Pandemics/statistics & numerical data ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; Quarantine ; SARS-CoV-2 ; Stochastic Processes ; Systems Analysis ; Universities
    Keywords covid19
    Language English
    Publishing date 2020-08-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1126-5
    ISSN 1879-3134 ; 0025-5564
    ISSN (online) 1879-3134
    ISSN 0025-5564
    DOI 10.1016/j.mbs.2020.108436
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Simulating COVID-19 in a university environment

    Gressman, Philip T. / Peck, Jennifer R.

    Mathematical Biosciences

    2020  Volume 328, Page(s) 108436

    Keywords General Biochemistry, Genetics and Molecular Biology ; Modelling and Simulation ; Statistics and Probability ; General Immunology and Microbiology ; Applied Mathematics ; General Agricultural and Biological Sciences ; General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 1126-5
    ISSN 1879-3134 ; 0025-5564
    ISSN (online) 1879-3134
    ISSN 0025-5564
    DOI 10.1016/j.mbs.2020.108436
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Simulating COVID-19 in a University Environment

    Gressman, Philip T. / Peck, Jennifer R.

    Abstract: Residential colleges and universities face unique challenges in providing in-person instruction during the COVID-19 pandemic. Administrators are currently faced with decisions about whether to open during the pandemic and what modifications of their ... ...

    Abstract Residential colleges and universities face unique challenges in providing in-person instruction during the COVID-19 pandemic. Administrators are currently faced with decisions about whether to open during the pandemic and what modifications of their normal operations might be necessary to protect students, faculty and staff. There is little information, however, on what measures are likely to be most effective and whether existing interventions could contain the spread of an outbreak on campus. We develop a full-scale stochastic agent-based model to determine whether in-person instruction could safely continue during the pandemic and evaluate the necessity of various interventions. Simulation results indicate that large scale randomized testing, contact-tracing, and quarantining are important components of a successful strategy for containing campus outbreaks. High test specificity is critical for keeping the size of the quarantine population manageable. Moving the largest classes online is also crucial for controlling both the size of outbreaks and the number of students in quarantine. Increased residential exposure can significantly impact the size of an outbreak, but it is likely more important to control non-residential social exposure among students. Finally, necessarily high quarantine rates even in controlled outbreaks imply significant absenteeism, indicating a need to plan for remote instruction of quarantined students.
    Keywords covid19
    Publisher ArXiv
    Document type Article
    Database COVID19

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  4. Book ; Online: Simulating COVID-19 in a University Environment

    Gressman, Philip T. / Peck, Jennifer R.

    2020  

    Abstract: Residential colleges and universities face unique challenges in providing in-person instruction during the COVID-19 pandemic. Administrators are currently faced with decisions about whether to open during the pandemic and what modifications of their ... ...

    Abstract Residential colleges and universities face unique challenges in providing in-person instruction during the COVID-19 pandemic. Administrators are currently faced with decisions about whether to open during the pandemic and what modifications of their normal operations might be necessary to protect students, faculty and staff. There is little information, however, on what measures are likely to be most effective and whether existing interventions could contain the spread of an outbreak on campus. We develop a full-scale stochastic agent-based model to determine whether in-person instruction could safely continue during the pandemic and evaluate the necessity of various interventions. Simulation results indicate that large scale randomized testing, contact-tracing, and quarantining are important components of a successful strategy for containing campus outbreaks. High test specificity is critical for keeping the size of the quarantine population manageable. Moving the largest classes online is also crucial for controlling both the size of outbreaks and the number of students in quarantine. Increased residential exposure can significantly impact the size of an outbreak, but it is likely more important to control non-residential social exposure among students. Finally, necessarily high quarantine rates even in controlled outbreaks imply significant absenteeism, indicating a need to plan for remote instruction of quarantined students.

    Comment: 30 pages, 9 figures; fixed minor typos and rephrased some unclear points
    Keywords Quantitative Biology - Populations and Evolution ; Computer Science - Multiagent Systems ; Computer Science - Social and Information Networks ; Physics - Physics and Society ; covid19
    Subject code 370
    Publishing date 2020-06-04
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Global classical solutions of the Boltzmann equation with long-range interactions.

    Gressman, Philip T / Strain, Robert M

    Proceedings of the National Academy of Sciences of the United States of America

    2010  Volume 107, Issue 13, Page(s) 5744–5749

    Abstract: This is a brief announcement of our recent proof of global existence and rapid decay to equilibrium of classical solutions to the Boltzmann equation without any angular cutoff, that is, for long-range interactions. We consider perturbations of the ... ...

    Abstract This is a brief announcement of our recent proof of global existence and rapid decay to equilibrium of classical solutions to the Boltzmann equation without any angular cutoff, that is, for long-range interactions. We consider perturbations of the Maxwellian equilibrium states and include the physical cross-sections arising from an inverse-power intermolecular potential r(-(p-1)) with p > 2, and more generally. We present here a mathematical framework for unique global in time solutions for all of these potentials. We consider it remarkable that this equation, derived by Boltzmann (1) in 1872 and Maxwell (2) in 1867, grants a basic example where a range of geometric fractional derivatives occur in a physical model of the natural world. Our methods provide a new understanding of the effects due to grazing collisions.
    Language English
    Publishing date 2010-03-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.1001185107
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Global classical solutions of the Boltzmann equation with long-range interactions

    Gressman, Philip T / Strain, Robert M

    Proceedings of the National Academy of Sciences of the United States of America. 2010 Mar. 30, v. 107, no. 13

    2010  

    Abstract: This is a brief announcement of our recent proof of global existence and rapid decay to equilibrium of classical solutions to the Boltzmann equation without any angular cutoff, that is, for long-range interactions. We consider perturbations of the ... ...

    Abstract This is a brief announcement of our recent proof of global existence and rapid decay to equilibrium of classical solutions to the Boltzmann equation without any angular cutoff, that is, for long-range interactions. We consider perturbations of the Maxwellian equilibrium states and include the physical cross-sections arising from an inverse-power intermolecular potential r⁻⁽p⁻¹⁾ with p > 2, and more generally. We present here a mathematical framework for unique global in time solutions for all of these potentials. We consider it remarkable that this equation, derived by Boltzmann (1) in 1872 and Maxwell (2) in 1867, grants a basic example where a range of geometric fractional derivatives occur in a physical model of the natural world. Our methods provide a new understanding of the effects due to grazing collisions.
    Keywords equations ; gases ; models ; physical chemistry
    Language English
    Dates of publication 2010-0330
    Size p. 5744-5749.
    Publishing place National Academy of Sciences
    Document type Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.1001185107
    Database NAL-Catalogue (AGRICOLA)

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