Cargando…
Estimating the Attack Ratio of Dengue Epidemics under Time-varying Force of Infection using Aggregated Notification Data
Quantifying the attack ratio of disease is key to epidemiological inference and public health planning. For multi-serotype pathogens, however, different levels of serotype-specific immunity make it difficult to assess the population at risk. In this paper we propose a Bayesian method for estimation...
Autores principales: | Coelho, Flavio Codeço, Carvalho, Luiz Max de |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682072/ https://www.ncbi.nlm.nih.gov/pubmed/26675824 http://dx.doi.org/10.1038/srep18455 |
Ejemplares similares
-
Estimating under-observation and the full size of the 2016 Zika epidemic in Rio de Janeiro
por: Bastos, Marcio M., et al.
Publicado: (2018) -
Epidemic models and their use: Comment on “Mathematical models for dengue fever epidemiology: A 10-year systematic review” by Aguiar et al.
por: Codeço, Claudia T., et al.
Publicado: (2023) -
Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission Epidemics
por: de Barros, Ana Carolina W. G., et al.
Publicado: (2019) -
A Bayesian Framework for Parameter Estimation in Dynamical Models
por: Coelho, Flávio Codeço, et al.
Publicado: (2011) -
A Framework for Weather-Driven Dengue Virus Transmission Dynamics in Different Brazilian Regions
por: Alves, Leon Diniz, et al.
Publicado: (2021)