Cargando…
The Timing and Targeting of Treatment in Influenza Pandemics Influences the Emergence of Resistance in Structured Populations
Antiviral resistance in influenza is rampant and has the possibility of causing major morbidity and mortality. Previous models have identified treatment regimes to minimize total infections and keep resistance low. However, the bulk of these studies have ignored stochasticity and heterogeneous conta...
Autores principales: | Althouse, Benjamin M., Patterson-Lomba, Oscar, Goerg, Georg M., Hébert-Dufresne, Laurent |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567146/ https://www.ncbi.nlm.nih.gov/pubmed/23408880 http://dx.doi.org/10.1371/journal.pcbi.1002912 |
Ejemplares similares
-
Optimizing Treatment Regimes to Hinder Antiviral Resistance in Influenza across Time Scales
por: Patterson-Lomba, Oscar, et al.
Publicado: (2013) -
Epidemic cycles driven by host behaviour
por: Althouse, Benjamin M., et al.
Publicado: (2014) -
Immunity-induced criticality of the genotype network of influenza A (H3N2) hemagglutinin
por: Williams, Blake J M, et al.
Publicado: (2022) -
The risk of sustained sexual transmission of Zika is underestimated
por: Allard, Antoine, et al.
Publicado: (2017) -
Beyond R(0): heterogeneity in secondary infections and probabilistic epidemic forecasting
por: Hébert-Dufresne, Laurent, et al.
Publicado: (2020)