While there have been few theoretical contributions on the Markov Chain Monte Carlo
(MCMC) methods in the past decade, current understanding and application of MCMC to the …

The world is ever changing, and a comprehensive understanding of the world will not be
achieved without theoretical and methodological advances to decode complex dynamics in …

Spatial connectivity plays an important role in mosquito-borne disease transmission.
Connectivity can arise for many reasons, including shared environments, vector ecology and …

A new class of space-time models derived from standard dynamic factor models is
proposed. The temporal dependence is modeled by latent factors while the spatial …

Multiple-species parasitic infections are pervasive in the developing world, yet resources for
their control are scarce. We present an integrated approach for risk profiling and spatial …

Disease mapping has been a very active research field during recent years. Nevertheless,
time trends in risks have been ignored in most of these studies, yet they can provide …

Background Malaria is a leading cause of mortality worldwide. There is currently conflicting
data and interpretation on how variability in climate factors affects the incidence of malaria …

As malaria transmission declines, it becomes increasingly important to monitor changes in
malaria incidence rather than prevalence. Here, a spatio-temporal model was used to …

Background. Malaria risk stratification is essential to differentiate areas with distinct malaria
intensity and seasonality patterns. The development of a simple prediction model to forecast …

Introduction With the renewed drive towards malaria elimination, there is a need for
improved surveillance tools. While time series analysis is an important tool for surveillance …