Affordable Access

deepdyve-link
Publisher Website

Thresholds versus Anomaly Detection for Surveillance of Pneumonia and Influenza Mortality.

Authors
  • Wiemken, Timothy L
  • Rutschman, Ana Santos
  • Niemotka, Samson L
  • Hoft, Daniel
Type
Published Article
Journal
Emerging Infectious Diseases
Publisher
Centers For Disease Control and Prevention
Publication Date
Jan 01, 2020
Volume
26
Issue
11
Pages
2733–2735
Identifiers
DOI: 10.3201/eid2611.200706
PMID: 33079038
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Computational surveillance of pneumonia and influenza mortality in the United States using FluView uses epidemic thresholds to identify high mortality rates but is limited by statistical issues such as seasonality and autocorrelation. We used time series anomaly detection to improve recognition of high mortality rates. Results suggest that anomaly detection can complement mortality reporting.

Report this publication

Statistics

Seen <100 times