Epidemiological modeling is becoming increasingly sophisticated with the integration of artificial intelligence and machine learning. These models can simulate complex scenarios and predict the impact of various interventions. For example, during the COVID-19 pandemic, models were used to predict the outcomes of social distancing measures and vaccination campaigns. The future of epidemiological modeling lies in its ability to incorporate more diverse data sources and produce more accurate predictions.
