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11,535 research outcomes, page 1 of 1,154
  • publication . Article . Preprint . 2021
    Open Access
    Authors:
    Dimiter Prodanov;
    Persistent Identifiers
    Publisher: MDPI AG

    The dramatic outbreak of the coronavirus disease 2019 (COVID-19) pandemics and its ongoing progression boosted the scientific community's interest in epidemic modeling and forecasting. The SIR (Susceptible-Infected-Removed) model is a simple mathematical model of epidem...

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  • publication . Article . Preprint . 2021
    Open Access
    Authors:
    Molnar, Tamas G.; Singletary, Andrew W.; Orosz, Gabor; Ames, Aaron D.;
    Persistent Identifiers
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    We introduce a methodology to guarantee safety against the spread of infectious diseases by viewing epidemiological models as control systems and by considering human interventions (such as quarantining or social distancing) as control input. We consider a generalized c...

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  • publication . Preprint . Article . 2021
    Open Access English
    Authors:
    Francesco Di Lauro; Istvan Z. Kiss; Daniela Rus; Cosimo Della Santina;
    Persistent Identifiers

    Comment: 6 pages, 8 figures, letter

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  • publication . Preprint . Article . 2021
    Open Access English
    Authors:
    Schlickeiser, Reinhard; Kröger, Martin; id_orcid0000-0003-1402-6714;
    Persistent Identifiers
    Publisher: Preprints

    Based on hospital capacities, facts from past experience with the coronavirus disease 2019 (COVID-19) virus and the number of dark infections during the second wave (DII=2D2), a reasonable limiting value of 140/D2 for the 7-day incidence per 100,000 persons (MSDIHT) and...

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  • publication . Preprint . 2021
    Open Access English
    Authors:
    Consortium, The Nucleic Acid Observatory;

    The spread of pandemic viruses and invasive species can be catastrophic for human societies and natural ecosystems. SARS-CoV-2 demonstrated that the speed of our response is critical, as each day of delay permitted exponential growth and dispersion of the virus. Here we...

  • publication . Preprint . 2021
    Open Access English
    Authors:
    James, Nick; Menzies, Max; Bondell, Howard;

    This paper introduces a novel approach to spatio-temporal data analysis using metric geometry to study the spatial propagation of COVID-19 across the United States and reveal periods when the change in geographic distribution was most profound. Using a spatially-defined...

  • The study presents a new method for analyzing medical data based on the LogNNet neural network, which uses chaotic mappings to transform input information. The technique calculates risk factors for the presence of a disease in a patient according to a set of medical hea...

  • publication . Preprint . 2021
    Open Access English
    Authors:
    Abdulla, Mouhamed; Ma, Weijing;

    The COVID-19 pandemic significantly disrupted the educational sector. Faced with this life-threatening pandemic, educators had to swiftly pivot to an alternate form of course delivery without severely impacting the quality of the educational experience. Following the tr...

  • publication . Preprint . 2021
    Open Access English
    Authors:
    Yong, Benny; Owen, Livia; Hoseana, Jonathan;

    We construct an SIR-type compartmental model for the spread of COVID-19 which incorporates as a parameter the susceptible individuals' cautiousness level, and utilises nonlinear incidence and recovery rates. We determine the model's basic reproduction number, study the ...

  • publication . Preprint . 2021
    Open Access English
    Authors:
    Said, Maher; Soria, Jason; Stathopoulos, Amanda;

    The spread of COVID-19 has been a major disruptive force in people's everyday lives and mobility behavior. The demand for on-demand ride services, such as taxis and ridehailing has been specifically impacted, given both restrictions in service operations and user's conc...

11,535 research outcomes, page 1 of 1,154