Cargando…
Assessing biases in phylodynamic inferences in the presence of super-spreaders
Phylodynamic analyses using pathogen genetic data have become popular for making epidemiological inferences. However, many methods assume that the underlying host population follows homogenous mixing patterns. Nevertheless, in real disease outbreaks, a small number of individuals infect a disproport...
Autores principales: | Hidano, Arata, Gates, M. Carolyn |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764146/ https://www.ncbi.nlm.nih.gov/pubmed/31558163 http://dx.doi.org/10.1186/s13567-019-0692-5 |
Ejemplares similares
-
Super-spreaders in infectious diseases
por: Stein, Richard A.
Publicado: (2011) -
Modeling Dynamic Human Behavioral Changes in Animal Disease Models: Challenges and Opportunities for Addressing Bias
por: Hidano, Arata, et al.
Publicado: (2018) -
Biased phylodynamic inferences from analysing clusters of viral sequences
por: Dearlove, Bethany L., et al.
Publicado: (2017) -
Pareto rules for malaria super-spreaders and super-spreading
por: Cooper, Laura, et al.
Publicado: (2019) -
Super-spreaders and the rate of transmission of the SARS virus
por: Small, Michael, et al.
Publicado: (2006)