1 Introduction

2 Datasets

3 Task, Targets and Evaluation Metrics

4 Modeling Paradigms–An Overview

5 Mechanistic Models

6 Statistical, Machine Learning, and AI Methods

7 Hybrid Models

8 Epidemic Forecasting on the Ground

9 Discussion: Open Challenges and Opportunities