University of Tennessee
Dept of Biomedical & Diagnostic Sciences
2407 River Drive
Knoxville, TN 37996-4543
GIS and Spatial Epidemiology (18)
Neighborhood geographic disparities in heart attack and stroke mortality: Comparison ...
Spatial and Spatio-temporal Epidemiology (2014)
This study investigated neighborhood geographic disparities in myocardial infarction (MI) and stroke mortality risks in middle Tennessee and identified determinants ...
Socioeconomic determinants of geographic disparities in campylobacteriosis risk: a comparison ...
International Journal of Health Geographics (2012)
Background: Socioeconomic factors play a complex role in determining the risk of campylobacteriosis. Understanding the spatial interplay between these factors ...
Application of an automated surveillance-data-analysis system in a laboratory-based early-warning ...
American Journal of Veterinary Research (2009)
OBJECTIVE: To develop an early-warning automated surveillance-data-analysis system for early outbreak detection and reporting and to assess its performance on ...
Inequalities in neighbourhood socioeconomic characteristics: potential evidence-base for neighbourhood health ...
International Journal of Health Geographics (2005)
BACKGROUND: Population health planning aims to improve the health of the entire population and to reduce health inequities among population ...
Geographical and temporal distribution of human giardiasis in Ontario, Canada.
International Journal of Health Geographics (2003)
BACKGROUND: Giardia is the most frequently identified intestinal parasite in North America. Although information on geographical distribution of giardiasis is ...
Antimicrobial Resistance (3)
Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from ...
BMC Veterinary Research (2017)
BackgroundAntimicrobial resistance in staphylococci, often associated with treatment failure, is increasingly reported in veterinary medicine. The aim of this study ...
Food Security and Gastrointestinal Infections (11)
Comparison of three time-series models for predicting campylobacteriosis risk
Epidemiology and Infection (2010)
Three time-series models (regression, decomposition, and Box–Jenkins autoregressive integrated moving averages) were applied to national surveillance data for Campylobacteriosis with ...