Epidemiology Models

These models and simulations have been tagged “Epidemiology”.

A simple SI (Susceptible-Infectious) model that captures the dynamics of COVID-19.
A simple SI (Susceptible-Infectious) model that captures the dynamics of COVID-19.
WIP Understanding pathways to observed effects complex causation Pathways Moving to Opportunity NYC example from Nate Osgood's big data lecture  youtube video  Feb 2017 Sydney.
WIP Understanding pathways to observed effects complex causation Pathways Moving to Opportunity NYC example from Nate Osgood's big data lecture youtube video Feb 2017 Sydney.
A simple SI (Susceptible-Infectious) model that captures the dynamics of COVID-19.
A simple SI (Susceptible-Infectious) model that captures the dynamics of COVID-19.
WIP integration of dynamic and complexity insights using rubik's cube metaphor from Pop Health Book  insight  folders,  and others linked in notes
WIP integration of dynamic and complexity insights using rubik's cube metaphor from Pop Health Book insight folders,  and others linked in notes
2 months ago
A simple SI (Susceptible-Infectious) model that captures the dynamics of COVID-19.
A simple SI (Susceptible-Infectious) model that captures the dynamics of COVID-19.
   Evolution of Covid-19 in Brazil:  
  A System Dynamics Approach  
 Villela, Paulo (2020) paulo.villela@engenharia.ufjf.br  This model is based on  Crokidakis, Nuno . (2020).  Data analysis and modeling of the evolution of COVID-19 in Brazil . For more details see full paper  here .
Evolution of Covid-19 in Brazil:
A System Dynamics Approach

Villela, Paulo (2020)
paulo.villela@engenharia.ufjf.br

This model is based on Crokidakis, Nuno. (2020). Data analysis and modeling of the evolution of COVID-19 in Brazil. For more details see full paper here.

MeCoBi: modelo SIR básico
MeCoBi: modelo SIR básico
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
WIP integrating Epidemiology Systems Science and Policy making, mainly based on books and AJE articles by Keyes and Galea
WIP integrating Epidemiology Systems Science and Policy making, mainly based on books and AJE articles by Keyes and Galea
Adding change over time to relative risk, odds ratio and population attributable fraction epidemiology concepts see  wikipedia  and  examples  . Could also add deaths and competing risks
Adding change over time to relative risk, odds ratio and population attributable fraction epidemiology concepts see wikipedia and examples .
Could also add deaths and competing risks
A flow based recreation of the base model presented in Munz et al 2009 using zombies to teach basic SIR epidemiology models
A flow based recreation of the base model presented in Munz et al 2009 using zombies to teach basic SIR epidemiology models
Web of Causation for Chronic Anxiety for Chronic Disease Epidemiology (Fall 2018). 
Web of Causation for Chronic Anxiety for Chronic Disease Epidemiology (Fall 2018). 
Part of coursework. Models two infectious diseases, where if you recover from one, you change your chance of being infected by the other.
Part of coursework. Models two infectious diseases, where if you recover from one, you change your chance of being infected by the other.
   Evolution of Covid-19 in Brazil:  
  A System Dynamics Approach  
 Villela, Paulo (2020) paulo.villela@engenharia.ufjf.br  This model is based on  Crokidakis, Nuno . (2020).  Data analysis and modeling of the evolution of COVID-19 in Brazil . For more details see full paper  here .
Evolution of Covid-19 in Brazil:
A System Dynamics Approach

Villela, Paulo (2020)
paulo.villela@engenharia.ufjf.br

This model is based on Crokidakis, Nuno. (2020). Data analysis and modeling of the evolution of COVID-19 in Brazil. For more details see full paper here.