Open AccessComplex Systems in a Complex Time: Two Flexible Activities Using Online Models to Study Infectious Disease Transmission and Code Complex Systems Simulations †
Author(s) -
Drew A. Rholl
Publication year - 2021
Publication title -
journal of microbiology and biology education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.301
H-Index - 7
eISSN - 1935-7885
pISSN - 1935-7877
DOI - 10.1128/jmbe.v22i1.2397
Subject(s) - computer science , infectious disease (medical specialty) , coding (social sciences) , presentation (obstetrics) , covid-19 , data science , code (set theory) , population , disease transmission , disease , medicine , virology , environmental health , statistics , programming language , mathematics , set (abstract data type) , pathology , radiology
With the advent of COVID-19, major media outlets and health organizations have been eager to provide projections on the spread of infectious disease through a population based on different variables. This report outlines two activities for leveraging the global interest in COVID-19 to (i) encourage students to explore simulations and data presentation, and (ii) develop models of complex systems using a block-based coding platform (StarLogo Nova).