What Challenges Exist in Using Computational Methods in Epidemiology?

Despite their advantages, computational methods in epidemiology also face several challenges. One major challenge is the quality of data. Inaccurate or incomplete data can lead to erroneous conclusions. Additionally, there is a need for skilled personnel who can develop and interpret complex models. Privacy concerns related to the use of sensitive health data also pose a challenge. Overcoming these challenges requires collaboration between epidemiologists, data scientists, and policymakers to ensure the effective and ethical use of computational methods.