Little Italy: an agent-based approach to the estimation of contact patterns- fitting predicted matrices to serological data.
Knowledge of social contact patterns still represents the most critical step for understanding the spread of directly transmitted infections. Data on social contact patterns are, however, expensive to obtain. A major issue is then whether the simulation of synthetic societies might be helpful to rel...
Guardado en:
Autores principales: | Fabrizio Iozzi, Francesco Trusiano, Matteo Chinazzi, Francesco C Billari, Emilio Zagheni, Stefano Merler, Marco Ajelli, Emanuele Del Fava, Piero Manfredi |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2010
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e06531d9491d4f0791e3d3626a603cc4 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
The impact of the unstructured contacts component in influenza pandemic modeling.
por: Marco Ajelli, et al.
Publicado: (2008) -
Transmission potential of chikungunya virus and control measures: the case of Italy.
por: Piero Poletti, et al.
Publicado: (2011) -
Differential impact of physical distancing strategies on social contacts relevant for the spread of SARS-CoV-2: evidence from a cross-national online survey, March–April 2020
por: Emilio Zagheni, et al.
Publicado: (2021) -
The effect of risk perception on the 2009 H1N1 pandemic influenza dynamics.
por: Piero Poletti, et al.
Publicado: (2011) -
Individual’s daily behaviour and intergenerational mixing in different social contexts of Kenya
por: Emanuele Del Fava, et al.
Publicado: (2021)