Spatial and Spatio-Temporal Epidemiology is a peer-reviewed scientific journal that provides a home for high quality work which
straddles the areas of GIS, epidemiology, exposure science, and spatial statistics. The journal focuses on answering epidemiological
questions where spatial and spatio-temporal approaches are appropriate. ... click here for full Aims & Scope
Spatial and Spatio-Temporal Epidemiology is a peer-reviewed scientific journal that provides a home for high quality work which
straddles the areas of GIS, epidemiology, exposure science, and spatial statistics. The journal focuses on answering epidemiological
questions where spatial and spatio-temporal approaches are appropriate. The methods should help to advance our understanding of infectious
and non-infectious diseases in humans. The journal will also consider applications where health care provision is the focus. Coverage
of veterinary topics will be included, and those with direct human health implications are especially welcome . The journal places special
emphasis on spatio-temporal aspects of emerging diseases (e.g., avian flu, SARS), development of spatial statistical and computational
methods, and novel applications of geospatial technology (e.g., GPS, GIS) for shedding insights on exposure and disease processes.
The journal will accept two different types of submissions: 1) methods papers that outline new methodology in the areas of GIS, spatial
statistics, exposure science, and/or epidemiology; and 2) Case Study/Applications papers where recently developed methodology is applied
to novel applications with a clear exposure/disease focus.
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Editor-in-Chief: Contact the Editor
Andrew Lawson
A note from the Editor-in-Chief
Spatial and Spatio-temporal Epidemiology is the premier vehicle for novel developments and advances in the area of geospatial health methodology.
In this outlet we hope to attract state of the art papers describing the latest advances in methodology in application to spatial and spatio-temporal epidemiology.
The application areas range over putative hazard analysis, ecological analysis, disease risk estimation, infectious disease modeling, exposure modeling, exposure assessment technologies, cluster detection, and health surveillance over space and time. We are
particularly interested in both human and veterinary applications, which often share methodology but also have unique approaches. Both papers focused on novel methodology and application-based case studies are welcome. In the latter case we would expect that state of the art methods are applied in a novel way or to a novel study focus.
Yours sincerely,
Andrew Lawson
Division of Biostatistics and Epidemiology College of Medicine, Medical University of South Carolina, USA