Source Publication (e.g., journal title)
Spatial and Spatio-temporal Epidemiology
Document Type
Article
Publication Date
Spring 2-2019
DOI
https://doi.org/10.1016/j.sste.2018.11.004
Abstract
The objective of this study was to investigate spatial patterns of staphylococcal infections and resistance patterns of clinical isolates from dogs from Gauteng province in South Africa. Data from records of 1,497 dog clinical samples submitted to a veterinary teaching hospital between 2007 and 2012 were used in the study. Spatial empirical Bayesian smoothed risk maps were used to investigate spatial patterns of staphylococcal infections, antimicrobial resistance (AMR), and multidrug resistance (MDR). Moran’s I and spatial scan statistics were used to investigate spatial clusters at municipal and town spatial scales. Significant clusters of staphylococcal infections were identified at both the municipal (Relative Risk [RR]=1.71, p=0.003) and town (RR=1.65, p=0.039) scales. However, significant clusters of AMR (p=0.003) and MDR (p=0.007) were observed only at the town scale. Future larger studies will need to investigate local determinants of geographical distribution of the clusters so as to guide targeted control efforts.
Recommended Citation
Qekwana, Daniel Nenene; Oguttu, James Wabwire; and Odoi, Agricola, "Geographic distribution of Staphylococcus spp. infections and antimicrobial resistance among dogs from Gauteng Province presented at a veterinary teaching hospital in South Africa." (2019). Faculty Publications and Other Works -- Biomedical and Diagnostic Sciences.
https://trace.tennessee.edu/utk_compmedpubs/117
Submission Type
Post-print
Included in
Animal Diseases Commons, Bacterial Infections and Mycoses Commons, Disease Modeling Commons