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 …

In recent years, multi-objective optimization (MOO) techniques have become popular due to
their potentiality in solving a wide variety of real-world problems, including bioinformatics …

Nowadays, ecologists worldwide recognize the use of spatial analysis as essential.
However, because of the fast-growing range of methods available, even an expert might …

OBJECTIVES: This article presents a space-time scan statistic, useful for evaluating space-
time cluster alarms, and illustrates the method on a recent brain cancer cluster alarms in Los …

Most disease registries are updated at least yearly. If a geographically localized health
hazard suddenly occurs, we would like to have a surveillance system in place that can pick …

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 …

Using epidemiological techniques for testing disease contagion, it has recently been found
that in the wake of a residential burglary, the risk to nearby homes is temporarily elevated …

Large quantities of spatiotemporal (ST) data can be easily collected from various domains
such as transportation, social media analysis, crime analysis, and human mobility analysis …

Over the past decade, a renewed interest in the analysis of crime hot-spots has emerged in
the social and behavioral sciences. Spurred by improvements in computing power, data …

The Knox method, as well as other tests for space‐time interaction, are biased when there
are geographical population shifts, ie, when there are different percent population growths in …