There is currently much interest in conducting spatial analyses of health outcomes at the
small-area scale. This requires sophisticated statistical techniques, usually involving …

With the advent of routine health data indexed at a fine geographical resolution, small area
disease mapping studies have become an established technique in geographical …

Purpose The population and spatial characteristics of COVID-19 infections are poorly
understood, but there is increasing evidence that in addition to individual clinical factors …

Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging
treatment of the field of spatial data analysis. It begins with an overview of spatial data …

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 …

Spatial epidemiology is the description and analysis of the geographical distribution of
disease. It is more important now than ever, with modern threats such as bio-terrorism …

Disease mapping involves the analysis of geo-referenced disease incidence data and has
many applications, for example within resource allocation, cluster alarm analysis, and …

In this paper, we provide critical reviews of methods suggested for the analysis of aggregate
count data in the context of disease mapping and spatial regression. We introduce a new …

▪ Abstract We review literature that uses spatial analytic tools in contexts where Geographic
Information Systems (GIS) is the organizing system for health data or where the methods …

Restaurants are basic urban amenities. With the dynamic evolution of cities, restaurants rise
and fall: new restaurants may open (birth), and existing restaurants may close (death) …