A novel data-driven methodology for influenza outbreak detection and prediction
Abstract Influenza is an infectious disease that leads to an estimated 5 million cases of severe illness and 650,000 respiratory deaths worldwide each year. The early detection and prediction of influenza outbreaks are crucial for efficient resource planning to save patient’s lives and healthcare co...
Enregistré dans:
Auteurs principaux: | Lin Du, Yan Pang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/f58112c4b89a4e8da26ae1e74e05d5b2 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A novel methodology for epidemic risk assessment of COVID-19 outbreak
par: A. Pluchino, et autres
Publié: (2021) -
Author Correction: A novel methodology for epidemic risk assessment of COVID-19 outbreak
par: A. Pluchino, et autres
Publié: (2021) -
Telephone triage service data for detection of influenza-like illness.
par: W Katherine Yih, et autres
Publié: (2009) -
Data-driven detection of subtype-specific differentially expressed genes
par: Lulu Chen, et autres
Publié: (2021) -
Spatio-temporal data comparisons for global highly pathogenic avian influenza (HPAI) H5N1 outbreaks.
par: Zhijie Zhang, et autres
Publié: (2010)