Geographic distribution of staphylococcus spp. infections and antimicrobial resistance among dogs from Gauteng Province presented at a veterinary teaching hospital in South Africa

被引:2
|
作者
Qekwana, Daniel Nenene [1 ]
Oguttu, James Wabwire [2 ]
Odoi, Agricola [1 ,3 ]
机构
[1] Univ Pretoria, Sect Vet Publ Hlth, Fac Vet Sci, Dept Paraclin Sci, Pretoria, Gauteng, South Africa
[2] Univ South Africa, Coll Agr & Environm Sci, Dept Agr & Anim Hlth, Johannesburg, South Africa
[3] Univ Tennessee, Coll Vet Med, Biomed & Diagnost Sci, Knoxville, TN 37996 USA
关键词
Moran's I; Spatial empirical Bayesian smoothing; Staphylococcus; Antimicrobial resistance; Multi-drug resistance; Spatial scan statistics; AUREUS; SUSCEPTIBILITY; PSEUDINTERMEDIUS; INTERMEDIUS; PREVALENCE; SURVIVAL; PYODERMA; ANIMALS; CATS;
D O I
10.1016/j.sste.2018.11.004
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The objective of this study was to investigate spatial patterns of staphylococcal infections and resistance patterns of clinical isolates among dogs from Gauteng province in South Africa. Data from records of 1497 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. (C) 2018 Published by Elsevier Ltd.
引用
收藏
页码:14 / 23
页数:10
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