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sandiego:hacking_virus_spread_-_modeling_covid_spread_with_mathematical_sir_model

Hacking virus spread – modeling COVID (or other disease) spread with mathematical SIR model

Author Information

  • Name: Jennifer Havens
  • Position and Institution: Graduate student, UCSD
  • Contact: jhavens@ucsd.edu
  • Available for contact for questions and classroom visits: Yes
  • Year contributed: 2020

Categories

  • Grade Level: 6-8, 9-12
  • Science Domain: Life Sciences, Physical Sciences
  • PE Code: MS-LS2-1, HS-LS2-1, HS-LS2-2, MS-PS3-2, HS-PS3-1

Abstract

SARS-2 or COVID-19, has spread all around the world and the cases have accumulate over time, but how, and can we use math to understand and predict the trends? In this lesson students will use a computer simulation of the mathematical SIR model to understand how transmission and recovery rates affect the number of people who get infected and when. There are 2 versions/tracks. One in which students will change parameters on an interface to see how the plots change (grades 6-8/no coding experience 1-1.5 hours). The second version/track has code which students can review and manipulate to explore how to build the model for themselves (grades 9-12/coding experience 1.5-2 hours).

Keywords

  • Viruses
  • infectious disease
  • epidemiology
  • math models
  • R
  • coding
  • SIR
  • COVID-19
  • Vritual lab

Files

sandiego/hacking_virus_spread_-_modeling_covid_spread_with_mathematical_sir_model.txt · Last modified: 2020/11/09 18:40 (external edit)