Dengue fever (DF) is one of the world's most disabling mosquito-borne diseases, with a
variety of approaches available to model its spatial and temporal dynamics. This paper aims …

History Markov chain Monte Carlo (MCMC) methods, in which plausible values for unknown
quantities are simulated from their appropriate probability distribution, have revolutionised …

Aim To conduct a comprehensive analysis of the conflicting evidence on substance use and
misuse following mass traumas such as terrorist incidents. Methods We reviewed and …

THE DICTIONARY OF HUMAN GEOGRAPHY 'Even better than before, the Dictionary is an
essential tool for all human geographers and over the years has provided an invaluable …

BUGS is a software package for Bayesian inference using Gibbs sampling. The software has
been instrumental in raising awareness of Bayesian modelling among both academic and …

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian
Modeling Using WinBUGS provides an easily accessible introduction to the use of …

This workbook contains a set of laboratory exercises initally developed for the ICPSR
Summer Program courses on spatial analysis: Introduction to Spatial Data Analysis and …

Since the publication of the second edition, many new Bayesian tools and methods have
been developed for space-time data analysis, the predictive modeling of health outcomes …

The growth of biostatistics has been phenomenal in recent years and has been marked by
considerable technical innovation in both methodology and computational practicality. One …

and chapter 7 focuses on modeling of spatial distribution of diseases. Finally, chapter 8
explains data-driven and knowledge-driven modeling for risk assessment and management …