Cargando…
Forecasting influenza A pandemic outbreak using protein dynamical network biomarkers
BACKGROUND: Influenza A virus is prone to mutation and susceptible to human beings and spread in the crowds when affected by the external environment or other factors. It is very necessary to forecast influenza A pandemic outbreak. METHODS: This paper studies the different states of influenza A in t...
Autores principales: | Gao, Jie, Wang, Kang, Ding, Tao, Zhu, Shanshan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615242/ https://www.ncbi.nlm.nih.gov/pubmed/28950872 http://dx.doi.org/10.1186/s12918-017-0460-y |
Ejemplares similares
-
Detecting early-warning signals for influenza A pandemic based on protein dynamical network biomarkers
por: Gao, Jie, et al.
Publicado: (2017) -
Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers
por: Zhu, Shanshan, et al.
Publicado: (2018) -
Real-Time Forecast of Influenza Outbreak Using Dynamic Network Marker Based on Minimum Spanning Tree
por: Yang, Kun, et al.
Publicado: (2020) -
A systematic review of studies on forecasting the dynamics of influenza outbreaks
por: Nsoesie, Elaine O, et al.
Publicado: (2014) -
Forecasting influenza outbreak dynamics in Melbourne from Internet search query surveillance data
por: Moss, Robert, et al.
Publicado: (2016)