What are the Challenges of Implementing Edge Computing in Epidemiology?
Despite its benefits, implementing edge computing in epidemiology comes with several challenges:
Data Standardization: Ensuring that data collected from various edge devices is standardized and interoperable can be difficult. Security Concerns: While edge computing can enhance data privacy, it also introduces new security challenges, such as securing the edge devices themselves. Resource Constraints: Edge devices may have limited computing power and storage capacity, which can restrict the complexity of the data analysis they can perform. Cost: Deploying and maintaining edge computing infrastructure can be expensive, particularly in resource-limited settings.