The field of spatial epidemiology has evolved rapidly in the past 2 decades. This study
serves as a brief introduction to spatial epidemiology and the use of geographic information …

This paper reviews a number of conceptual issues pertaining to the implementation of an
explicit “spatial” perspective in applied econometrics. It provides an overview of the …

Coronavirus (COVID‐19) is a highly infectious disease that has captured the attention of the
worldwide public. Modeling of such diseases can be extremely important in the prediction of …

Supplement to “Penalising Model Component Complexity: A Principled, Practical Approach
to Constructing Priors”. The supplementary material contains the proofs of all theorems …

Population numbers at local levels are fundamental data for many applications, including
the delivery and planning of services, election preparation, and response to disasters. In …

Background Transmission intensity affects almost all aspects of malaria epidemiology and
the impact of malaria on human populations. Maps of transmission intensity are necessary to …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Among the many uses of hierarchical modeling, their application to the statistical analysis of
spatial and spatio-temporal data from areas such as epidemiology And environmental …

Abstract The World Health Organization has declared COVID-19 as a global pandemic in
early 2020. A comprehensive understanding of the epidemiological characteristics of this …

While mapped data provide a common ground for discussions between the public, the
media, regulatory agencies, and public health researchers, the analysis of spatially …