Tags: coronavirus

Resources (1-9 of 9)

  1. 2020-Chen_Et_Al-MathModel_Simulation_Phase-Based_Transmissability_Corona_Virus

    08 Mar 2023 | Teaching Materials | Contributor(s):

    By Tian-Mu Chen

    NA

    In this study, we developed a Bats-Hosts-Reservoir-People transmission network model for simulating the potential transmission from the infection source (probably be bats) to the human infection.

    https://qubeshub.org/publications/3732/?v=1

  2. Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2

    03 Feb 2022 | Teaching Materials | Contributor(s):

    By Maria Shumskaya1, Christopher Zambell1, Nicholas Lorusso2

    1. Kean University 2. University of North Texas at Dallas

    Introduction into computational approaches in phylogeny and protein modeling based on coronavirus SARS-CoV-2 (caused COVID-19 pandemic). Two self-guided tutorials for standard lab classes of 2.5...

    https://qubeshub.org/publications/1796/?v=3

  3. Statistics with epidemiology of COVID-19

    20 Jun 2021 | Teaching Materials | Contributor(s):

    By Maria Shumskaya1, Shakira Benjamin1, Matthew G Niepielko1, Nicholas Lorusso1

    Kean University

    Introduction into heat maps, non-parametric t-test and GIF (optional) in R using an original dataset on COVID-19 infections from different counties of New Jersey, USA. Suitable for students who...

    https://qubeshub.org/publications/2439/?v=1

  4. Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2

    18 Jul 2020 | Teaching Materials | Contributor(s):

    By Maria Shumskaya1, Nicholas Lorusso2

    1. Kean University 2. University of North Texas at Dallas

    Introduction into computational approaches in phylogeny and protein modeling based on coronavirus SARS-CoV-2 (caused COVID-19 pandemic). Two self-guided tutorials for standard lab classes of 2.5...

    https://qubeshub.org/publications/1796/?v=2

  5. Drugging SARS-CoV-2

    15 Jun 2020 | Teaching Materials | Contributor(s):

    By Mallory Bliss1, Alexzandria Khan1, Nandni Verma1, Kasandra Jean-Louise Riley1

    Rollins College

    This case study leads students through the process of proposing a drug for a novel protein. The Mpro protease of SARS-CoV-2 is explored in detail within the PDB. Aligns with first semester...

    https://qubeshub.org/publications/1928/?v=1

  6. Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2

    03 Apr 2020 | Teaching Materials | Contributor(s):

    By Maria Shumskaya1, Nicholas Lorusso2

    1. Kean University 2. University of North Texas at Dallas

    Introduction into computational approaches in phylogeny and protein modeling based on coronavirus SARS-CoV-2 (caused COVID-19 pandemic). Two self-guided tutorials for standard lab classes of 2.5...

    https://qubeshub.org/publications/1796/?v=1

  7. COVID-19 Simulator (ISEE) Module

    20 Mar 2020 | Teaching Materials | Contributor(s):

    By Sarah Hews

    Amherst College

    This accessible module guides students through exploring the COVID-19 Simulator developed by ISEE. Students dig into the four scenarios provided (including the parameters and the graphs), construct...

    https://qubeshub.org/publications/1775/?v=1

  8. Coronavirus Epidemic Curves - Graphically Interpreting Derivatives

    19 Mar 2020 | Teaching Materials | Contributor(s):

    By Sarah Hews

    A set of exam questions or class activity related to 'flatten the curve' during the coronavirus outbreak of 2020. Content includes: notation, first derivative, second derivative, and interpreting...

    https://qubeshub.org/publications/1774/?v=1

  9. SEIR simulation activity for flattening the curve

    12 Mar 2020 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton

    Bates College and QUBES

    This is a short exploration activity to introduce SIR and SEIR models without explicitly introducing differential equations. It utilizes the R package EpiDynamics and students can run the...

    https://qubeshub.org/publications/1763/?v=1