Neural networks can be applied in numerous ways within epidemiology:
Disease Outbreak Prediction: By analyzing historical data, neural networks can forecast potential outbreaks, allowing for timely interventions. Disease Surveillance: These models can continuously monitor and analyze data to detect unusual patterns or anomalies, aiding in early detection of diseases. Risk Factor Analysis: Neural networks can identify and evaluate various risk factors contributing to disease spread, helping in the development of targeted prevention strategies. Healthcare Resource Allocation: By predicting disease spread and severity, neural networks assist in the efficient distribution of medical resources and personnel.
