# Analysis and Control of Epidemics: A survey of spreading processes on complex networks

arXiv: https://arxiv.org/abs/1505.00768 · HTML: https://mlsanity.com/paper/1505.00768/

## Key facts

- Cited by 14 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 May 2015.

## Built on by (most cited first, 14 of 14)

- [Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey](https://mlsanity.com/paper/2202.09363/) (2022)
- [Causal Discovery in Linear Structural Causal Models with Deterministic Relations](https://mlsanity.com/paper/2111.00341/) (2021)
- [A Direct Approximation of AIXI Using Logical State Abstractions](https://mlsanity.com/paper/2210.06917/) (2022)
- [Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes](https://mlsanity.com/paper/2304.00232/) (2023)
- [Transfer Learning for Node Regression Applied to Spreading Prediction](https://mlsanity.com/paper/2104.00088/) (2021)
- [A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model](https://mlsanity.com/paper/2108.02005/) (2021)
- [Transmission Neural Networks: From Virus Spread Models to Neural Networks](https://mlsanity.com/paper/2208.03616/) (2022)
- [Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification](https://mlsanity.com/paper/2307.01237/) (2023)
- [Privacy Preserving Reinforcement Learning for Population Processes](https://mlsanity.com/paper/2406.17649/) (2024)
- [Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference](https://mlsanity.com/paper/2307.00032/) (2023)
- [Hypergraph Echo State Network](https://mlsanity.com/paper/2310.10177/) (2023)
- [Dynamic Knowledge Injection for AIXI Agents](https://mlsanity.com/paper/2312.16184/) (2023)
- [Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control](https://mlsanity.com/paper/2506.15397/) (2025)
- [Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning](https://mlsanity.com/paper/2603.19397/) (2026)

## Abstract (arXiv)

This article reviews and presents various solved and open problems in the development, analysis, and control of epidemic models. We are interested in presenting a relatively concise report for new engineers looking to enter the field of spreading processes on complex networks.