Despite its advantages, leveraging computational power in epidemiology comes with challenges. Data privacy and security are major concerns, especially when handling sensitive health information. Ensuring the accuracy and reliability of models is also critical, as flawed models can lead to incorrect conclusions. Additionally, there is a need for cross-disciplinary expertise, as effective use of computational tools requires knowledge in computer science, statistics, and public health.
