Spatial epidemiology is the study of spatial variation in disease risk or incidence. Several
ecological processes can result in strong spatial patterns of such risk or incidence: for …

Geographic information systems (GIS) and remote sensing (RS) technologies are being
used increasingly to study the spatial and temporal patterns of infectious diseases. For …

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 …

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 …

Conventional geostatistical methodology solves the problem of predicting the realized value
of a linear functional of a Gaussian spatial stochastic process S (x) based on observations …

The previous chapter considered how short-term variations in climatic conditions and
extreme weather events can exert direct effects on human death rates, physical injury …

In spatial generalized linear mixed models (SGLMMs), covariates that are spatially smooth
are often collinear with spatially smooth random effects. This phenomenon is known as …

In recent decades, malaria has become established in zones at the margin of its previous
distribution, especially in the highlands of East Africa. Studies in this region have sparked a …

This paper examines the health crisis in Bangladesh due to dissolved arsenic in
groundwater. First, we use geostatistical methods to construct a map of arsenic …

Emerging and resurging vector-borne diseases cause significant morbidity and mortality,
especially in the developing world. We focus on how advances in mapping, Geographic …