Why is Cumulative Variance Important in Epidemiology?
Cumulative variance is crucial because it provides insights into the stability or instability of health-related events. High cumulative variance might indicate an underlying issue that requires further investigation, such as an emerging infectious disease or environmental hazard. Conversely, low cumulative variance suggests that health outcomes are relatively stable, which could imply effective control measures or natural resilience in the population.
