What Are the Challenges in Climate Modeling for Epidemiology?
Despite its potential, climate modeling for epidemiology faces several challenges:
Data Quality: Inaccurate or incomplete data can lead to unreliable model predictions. Complex Interactions: The interaction between climate, biological systems, and human behavior is highly complex and difficult to model accurately. Uncertainty: Long-term climate projections are inherently uncertain, making it challenging to predict specific disease outcomes.
