Relative risk analysis of dengue cases using convolution extended into spatio-temporal model

DOI10.1080/02664763.2015.1043863OpenAlexW1898105774MaRDI QIDQ5130364

No author found.

Publication date: 4 November 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1043863

zbMATH Keywords

generalized linear modelsBayesian approachMonte Carlo Markov chainPoisson-lognormal modelGibb sampler

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Spatio-temporal modelling of dengue fever patterns in peninsular Malaysia from 2015--2017 ⋮ Mixed-effects modelling for crossed and nested data: an analysis of dengue fever in the state of Goiás, Brazil

Uses Software

• WinBUGS
• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Approximate inference for disease mapping
• Hierarchical Bayes GLMs for the analysis of spatial data: An application to disease mapping
• Hierarchical Bayes estimation of mortality rates for disease mapping
• A random effects model for diseases with heterogeneous rates of infection
• Empirical Bayes estimation smoothing of relative risks in disease mapping
• Handbook of Spatial Statistics
• Bayesian Modeling Using WinBUGS
• Bayesian Disease Mapping
• Vector-borne infectious disease mapping with stochastic difference equations: an analysis of dengue disease in Malaysia

This page was built for publication: Relative risk analysis of dengue cases using convolution extended into spatio-temporal model