Home

Welcome to the BINNs_Covasim_EQL wiki!

This is the Wiki page for the BINNs_Covasim_EQL repository explaining the motivation, goals, methods, and results of this project as well as information of the computational pipeline for 1) Modifying the agent-based simulator, 2) Training Biologically-Informed Neural Networks on the data, and 3) Conducting Equation Learning on the trained parameter networks.

This wiki is the guideline explaining and connecting our paper, "Incorporating Human Adaptive Behaviors into Epidemiological Models using Equation Learning", and our code repository. For more information on our project, please see [INSERT PAPER LINK].

Overview

[Overview of agent-based models, what they lack, what Covasim lacked, what we added, why we added it, why using BINNs, and why do equation learning.]

Data Generation

Our Agent-Based Simulator - Covasim

"An agent-based model is a computational model for simulating the actions and interactions of autonomous agents in order to understand the behavior of a system and what governs its outcomes." - Wikipedia

- How Covasim works

- Our Data Generator

- Adding an Adaptive Behavior

Biologically-Informed Neural Networks (BINNs)

What are BINNs?

Our BINN

- Surface Fitter

- Contact Rate ($\eta$) Network

- Tracing Rate ($\beta$) Network

- Quarantine Diagnosis ($\tau$) Rate Network

- Loss Function

- No Masking

- Observed Masking

- Learned Masking