# Evidence synthesis for stochastic epidemic models

## TL;DR

This paper reviews the use of evidence synthesis in stochastic epidemic models, emphasizing their growing importance in informing public health policies and discussing current challenges in integrating multiple data sources.

## Contribution

It provides a comprehensive overview of stochastic epidemic models that incorporate evidence synthesis and identifies key challenges faced in this approach.

## Key findings

- Highlights the increasing complexity of epidemic models.
- Summarizes different types of evidence synthesis methods.
- Discusses current challenges in model integration.

## Abstract

In recent years the role of epidemic models in informing public health policies has progressively grown. Models have become increasingly realistic and more complex, requiring the use of multiple data sources to estimate all quantities of interest. This review summarises the different types of stochastic epidemic models that use evidence synthesis and highlights current challenges.