Agent-in-Cell Modeling of Pandemics

This publication has 21 references indexed in Scilit:

• Probability of COVID-19 infection by cough of a normal person and a super-spreader
  Physics of Fluids, 2021
• Quantifying population contact patterns in the United States during the COVID-19 pandemic
  Nature Communications, 2021
• COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
  Proceedings of the National Academy of Sciences, 2020
• A mathematical framework for estimating risk of airborne transmission of COVID-19 with application to face mask use and social distancing
  Physics of Fluids, 2020
• COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions
  Chaos, Solitons & Fractals, 2020
• FACS: A geospatial agent-based simulator for analysing COVID-19 spread and public health measures on local regions
  Journal of Simulation, 2020
• An interactive web-based dashboard to track COVID-19 in real time
  The Lancet Infectious Diseases, 2020
• Modelling to contain pandemics
  Nature, 2009
• A New Tool for Epidemiology: The Usefulness of Dynamic-Agent Models in Understanding Place Effects on Health
  American Journal of Epidemiology, 2008
• Infectious Diseases of Humans
  1991