Explore a conference talk that delves into simulating the effects of hospital capacity and social isolation on infectious disease propagation. Learn about agent-based simulation models and their application in understanding pandemic dynamics. Discover key experiments and parameters used to assess infection and recovery rates. Gain insights into potential solutions for minimizing disease spread through this comprehensive presentation by Shaon Bhatta Shuvo, Bonaventure C. Molokwu, and Ziad Kobti at KDD 2020.
Simulating the Impact of Hospital Capacity and Social Isolation to Minimize the Propagation of Infectious Diseases
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Introduction
Research Motivation/Questions
Research Motivation Two significant
Possible Solutions
Agent Based Simulation Model
Proposed Model
Summary of Infection and Recovery Parameters
Experiment 1, 2 and 3
Experiment 10, 11 and 12
Summary of all the experiments
Taught by
Association for Computing Machinery (ACM)
