raw data

How is Raw Data Used in Disease Surveillance?

In disease surveillance, raw data is continuously collected and analyzed to detect and respond to potential health threats promptly. Surveillance systems rely on high-quality raw data to monitor disease incidence, prevalence, and trends over time. This allows for early warnings and rapid responses to emerging health issues, thereby minimizing their impact on the population.

Frequently asked queries:

Partnered Content Networks

Relevant Topics