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Causal Inference ABM vs. NetLogo

The Spread of Disease model of NetLogo (SODNL) can be found as one of the set models in http://ccl.northwestern.edu/netlogo/models/SpreadofDisease.

Feature CIABM SODNL
Causal effects Adjustable for (i) confounder on vaccine, (ii) confounder on infection, (iii) vaccine on infection, (iv) contagion, (v) infectiousness Fixed contagion
Environment Continuous Discrete
Confounding? Y NA
Intervention? Y NA
Network Erdős–Rényi model (https://en.wikipedia.org/wiki/Erd%C5%91s%E2%80%93R%C3%A9nyi_model) type B with Poisson distribution G(n,p). Non-static: promiscuityPopulation. Lecture: https://www.youtube.com/watch?v=AmZ_MOQ-XwA Erdős–Rényi model type A: G(n,m). Static, fixed at start
Analysis GUI (i) Frequency vaccinated and infected over time, (ii) cumulative infected distance over time, and (iii) histograms of cumulative infected distance and degree of nodes Frequency of infected over time
Free wandering? Y Degree 0 agents held fixed positions
Peers get together? Y NA
Number edges Adjustable Adjustable
Infected agents Baseline probability of both infection and vaccination though the simulation Fixed infected patients at start
multi SIM External .csv file with defined params NA
Output Saved at t intervals in .csv NA
Contagion Though distance Though network
maxInfected NA Fixed? Defined resistance?