Real-time analytics is essential in epidemiology for several reasons:
Early Detection: It enables the early identification of disease outbreaks, allowing for quick public health responses. Resource Allocation: Health resources can be allocated more efficiently when data is available in real-time. Predictive Modeling: Real-time data can feed into models to predict the spread of diseases and help in planning interventions. Public Awareness: Immediate data dissemination keeps the public informed and can drive community-level responses.
