Kiki1017/FluView

Computational surveillance of pneumonia and influenza mortality in FluView uses epidemic thresholds to identify high mortality rates but is limited by statistical issues such as seasonality and autocorrelation. We utilized time series anomaly detection to improve recognition of high mortality rates. Results suggest anomaly detection may complement mortality reporting. Constructed with assistance from Dr. Timothy Wiemken from Saint Louis University.

Below is the link to view the application, hosted in ShinyApps. https://surveillance.shinyapps.io/fluview