Qnns can be applied in various ways within epidemiology:
1. Disease Outbreak Prediction: By analyzing vast amounts of data, qnns can identify patterns and predict where and when an outbreak might occur. 2. Data Analysis: Qnns can handle large datasets and find correlations that might be missed by traditional methods. 3. Modeling Disease Spread: They can simulate the spread of diseases under different scenarios, helping public health officials make informed decisions. 4. Genomic Analysis: Qnns can assist in understanding the genetic factors that contribute to disease susceptibility and resistance.
