Tags: SIR

All Categories (1-20 of 23)

  1. 6-009-S-FakeNews

    19 Apr 2020 | | Contributor(s):: Sarah Elizabeth Ritchey Patterson, Blain Patterson

    In modern society, creating and disseminating information is easier than ever. While this allows access to information on unprecedented scales, the validity of the information can be difficult to determine. Clickbait, propaganda, misleading headlines, biased news outlets, and social media posts...

  2. 2012-Greer, Meredith L.  and Karen A. Palin - Students in Differential Equations and Epidemiology Model a Campus Outbreak of pH1N1.

    02 Apr 2020 | | Contributor(s):: Brian Winkel

    Greer, Meredith L.  and Karen A. Palin. 2012. Students in Differential Equations and Epidemiology Model a Campus Outbreak of pH1N1. Journal of Microbiology and Biology Education. December: 183-185.See https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3577334/ .INTRODUCTIONWe...

  3. 2001-Smith, David and Lang Moore - The SIR Model for Spread of Disease

    02 Apr 2020 | | Contributor(s):: Brian Winkel

    Smith, David and Lang Moore. 2001. The SIR Model for Spread of Disease.  See https://www.maa.org/press/periodicals/loci/joma/the-sir-model-for-spread-of-disease-introduction .A multiple part tour of SIR Models freely available with Maple, Mathematics, and MatLab...

  4. 2019-Koss, Lorelei - SIR Models: Differential Equations that Support the Common Good. 

    02 Apr 2020 | | Contributor(s):: Brian Winkel

    Koss, Lorelei. 2019. SIR Models: Differential Equations that Support the Common Good.  CODEE Journal. 12 (2019): Article 6.See https://scholarship.claremont.edu/codee/vol12/iss1/6/ .12 pages.Abstract: This article surveys how SIR models have been extended beyond...

  5. 2007-Choisy, M., J.-F. Guégan, and P. Rohani -Mathematical Modeling of Infectious Diseases Dynamics.

    01 Apr 2020 | | Contributor(s):: Brian Winkel

    Choisy, M., J.-F. Guégan, and P. Rohani1. 2007. Mathematical Modeling of Infectious Diseases...

  6. 2011-Mandal, Sandip , Ram Rup Sarkar and Somdatta Sinha - Mathematical models of malaria - a review.

    28 Mar 2020 | | Contributor(s):: Brian Winkel

    Mandal, Sandip , Ram Rup Sarkar and Somdatta Sinha. 2011. Mathematical models of malaria - a review. Malaria Journal. 10:1-19.See https://pubmed.ncbi.nlm.nih.gov/21777413/ .Abstract: Mathematical models have been used to provide an explicit framework for understanding malaria...

  7. 2015-Audestad, Jan A. - Some Dynamic Market Models.

    26 Mar 2020 | | Contributor(s):: Brian Winkel

    Audestad, Jan A. 2015. Some Dynamic Market Models. Norwegian University of Science and Technology, Gjøvik University College. Small Text. 49 pp.See https://arxiv.org/ftp/arxiv/papers/1511/1511.07203.pdf .ABSTRACT: In this text, we study the behavior of...

  8. 2018-Akman, Devin, Olcay Akman, and Elsa Schaefer - Parameter Estimation in Ordinary Differential Equations Modeling via Particle Swarm Optimization. 

    24 Mar 2020 | | Contributor(s):: Brian Winkel

    Akman, Devin, Olcay Akman, and Elsa Schaefer. 2018.  Parameter Estimation in Ordinary Differential Equations Modeling via Particle Swarm Optimization. Journal of Applied Mathematics. Volume 2018. pp 1-10.See https://econpapers.repec.org/article/hinjnljam/9160793.htm...

  9. 2016-Rodrigues, Helena Sofia - Application of SIR epidemiological model: new trends

    20 Mar 2020 | | Contributor(s):: Brian Winkel

    Rodrigues, Helena Sofia. 2016. Application of SIR epidemiological model: new trends. International Journal of Applied Mathematics and Informatics.  10: 92-97. 2016 See https://arxiv.org/abs/1611.02565 .Abstract: The simplest epidemiologic model composed by mutually...

  10. 2011-Chitnis, Nakul - Introduction to Mathematical Epidemiology: Deterministic Compartmental Model

    16 Mar 2020 | | Contributor(s):: Brian Winkel

    Chitnis, Nakul. 2011. Introduction to Mathematical Epidemiology: Deterministic Compartmental Model. Notes. 12 pp.See http://www.luchsinger-mathematics.ch/ME-DeterministicCompartmentalModels.pdf .Introduction: Deterministic compartmental models form the simplest models in the...

  11. 1-111-S-SpreadOfInformation

    02 Sep 2019 | | Contributor(s):: Jeff Pettit

    Students perform experiments to model spread of information within a population. Students collect data, determine essential components and parameters and build a mathematical model which can be compared to predicted data, measured data, and modeled data. Part 3 can require students to move from...

  12. 6-010-S-SocialCampaigns

    23 Sep 2018 | | Contributor(s):: Hyunsun Lee

    Mathematical epidemic models are crucial tools to understand, analyze, predict, and control infectious diseases. The Susceptible-Infected-Recovered (SIR) model is a basic compartment model, describing how an infectious disease propagates through a population. The problem is formulated as a system...

  13. 6-003-S-SchoolFluEpidemic

    28 Aug 2018 | | Contributor(s):: Darrell Weldon Pepper

    We offer a model of the spread of flu in a school dormitory and are asked to find when the flu levels reach their peak and explain long term behavior of the spread of the flu.

  14. 6-007-S-FunctionsAndDerivativesInSIRModels

    12 Aug 2018 | | Contributor(s):: Meredith L. Greer

  15. 6-018-S-ExploringSIRModel

    30 May 2018 | | Contributor(s):: Ryan Edmund Miller, Stanley F Florkowski

    Students will transform, solve, and interpret Susceptible Infected Recovered (SIR) models using systems of differential equation models. The project is progressively divided into three parts to understand, to apply, and to develop SIR models. Part one focuses on understanding and interpreting SIR...

  16. 2018-Alvey, Christina - Zombie Apocalypse in a Mathematical Biology Course

    19 Jan 2018 | | Contributor(s):: Christina Alvey

    Zombie Apocalypse in a Mathematical Biology CourseBy Christina Alvey, Mount Saint Mary College.A talk given at the AMS Special Session on Modeling in Differential Equations - High School, Two-Year College, Four-Year Institution at Joint Mathematics Meetings, San Diego CA, 9-13...

  17. 2015-Just, Winfried and  Hannah Callender - Differential equation models of disease transmission. Paper.

    10 Sep 2017 | | Contributor(s):: Brian Winkel

    Just, Winfried and  Hannah Callender. 2015. Differential equation models of disease transmission. Paper.  16 pp.See https://people.ohio.edu/just/IONTW/ModuleDE.pdf .The work give full analyses of standard epidemic model and then shows how to do it with differential...

  18. 2017-Unknown - Epidemic Models-Presentation

    10 Sep 2017 | | Contributor(s):: Brian Winkel

    Epidemic Models-Presentation PowerPoint. 16 slide. Overview of many epidemics and their models as well as graphical data and comparison of model and data plots. Keywords: differential equation, model, epidemic, SIR, boarding school, data, parameter estimation, Bombay plague, Eyam plague,...

  19. 2012-Chapwanyaa , Michael, Jean M-S Lubumaa and  Ronald E Mickensb - From Enzyme Kinetics to Epidemiological Models with Michaelis-Menten Contact Rate: Design of Nonstandard Finite Difference Schemes.

    08 Sep 2017 | | Contributor(s):: Brian Winkel

    Chapwanyaa , Michael, Jean M-S Lubumaa and  Ronald E Mickensb. 2011. From Enzyme Kinetics to Epidemiological Models with Michaelis-Menten Contact Rate: Design of Nonstandard Finite Difference Schemes.  Preprint, submitted to Computers and Mathematics with Applications. 15...

  20. 2015-Collazo-River Cruz-Aponte-Avian Influenza Model Puerto Rico

    08 Sep 2017 | | Contributor(s):: Brian Winkel

    Collazo-Rivera, M and M. Cruz-Aponte. 2015. Avian Influenza Type A-H5N1 Epidemiological Model: Puerto Rico as a Case Study.  SM Vaccines and Vaccination Journal. 1(1)...