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复杂时代的复杂系统:两项灵活活动,利用在线模型研究传染病传播及编写复杂系统模拟代码。

Complex Systems in a Complex Time: Two Flexible Activities Using Online Models To Study Infectious Disease Transmission and Code Complex Systems Simulations.

作者信息

Rholl Drew

机构信息

North Park University, Chicago, IL 60625.

出版信息

J Microbiol Biol Educ. 2021 Mar 31;22(1). doi: 10.1128/jmbe.v22i1.2397. eCollection 2021.

Abstract

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). The activities may be used independently or paired to build upon each other.

摘要

随着新冠疫情的出现,各大媒体和卫生组织一直急于根据不同变量对传染病在人群中的传播情况进行预测。本报告概述了两项活动,旨在利用全球对新冠疫情的关注,(i)鼓励学生探索模拟和数据展示,以及(ii)使用基于模块的编码平台(StarLogo Nova)开发复杂系统模型。这些活动可以独立使用,也可以相互配合以相互促进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/026e/8012044/a8dc67e213b5/jmbe-22-26f1.jpg

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