Despite advancements, predicting epidemic trends faces several challenges:
Data quality and availability: Inaccurate or incomplete data can lead to erroneous predictions. Model limitations: No model is perfect, and each has its assumptions and limitations. Behavioral unpredictability: Human behavior can be unpredictable, and compliance with public health measures can vary. Emerging pathogens: New diseases can emerge, and existing models may not account for them.
Addressing these challenges requires continuous improvement in data collection, model development, and public health strategies.
