Bayesian dynamic modeling of time series of dengue disease case counts.
The aim of this study is to model the association between weekly time series of dengue case counts and meteorological variables, in a high-incidence city of Colombia, applying Bayesian hierarchical dynamic generalized linear models over the period January 2008 to August 2015. Additionally, we evalua...
Saved in:
Main Authors: | Daniel Adyro Martínez-Bello (Author), Antonio López-Quílez (Author), Alexander Torres-Prieto (Author) |
---|---|
Format: | Book |
Published: |
Public Library of Science (PLoS),
2017-07-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
How to interpret the results of medical time series data analysis: Classical statistical approaches versus dynamic Bayesian network modeling
by: Agnieszka Onisko, et al.
Published: (2016) -
Bayesian spatial survival modelling for dengue fever in Makassar, Indonesia
by: Sri Astuti Thamrin, et al.
Published: (2021) -
Dynamic Programming and Bayesian Inference Concepts and Applications
Published: (2014) -
Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling.
by: Clinton B Leach, et al.
Published: (2020) -
Platelet Counts and Risk of Severe Retinopathy of Prematurity: A Bayesian Model-Averaged Meta-Analysis
by: Mohamad F. Almutairi, et al.
Published: (2023)