Thresholds versus Anomaly Detection for Surveillance of Pneumonia and Influenza Mortality
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 h...
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| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Centers for Disease Control and Prevention
2020-11-01
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| Серии: | Emerging Infectious Diseases |
| Предметы: | |
| Online-ссылка: | https://wwwnc.cdc.gov/eid/article/26/11/20-0706_article |
| Метки: |
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