2016
DOI: 10.1016/j.parint.2016.04.011
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Molecular survey of canine vector-borne diseases in stray dogs in Thailand

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Cited by 58 publications
(58 citation statements)
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“…The results of this study supported the previous report regarding the presence of the highest prevalence of E. canis (21.5%) then H. canis (10.1%) and B. canis vogeli (6.3%) in stray dogs in Mahasarakham, Thailand [18]. In the southern region of Thailand, occurrence of E. canis infection in stray dogs was the lowest at 3.9% [19]. The variations of all tickborne pathogen infection rate may have been caused by differences in sampling location, distribution of the tick vector, season and examination technique.…”
Section: Discussionsupporting
confidence: 90%
“…The results of this study supported the previous report regarding the presence of the highest prevalence of E. canis (21.5%) then H. canis (10.1%) and B. canis vogeli (6.3%) in stray dogs in Mahasarakham, Thailand [18]. In the southern region of Thailand, occurrence of E. canis infection in stray dogs was the lowest at 3.9% [19]. The variations of all tickborne pathogen infection rate may have been caused by differences in sampling location, distribution of the tick vector, season and examination technique.…”
Section: Discussionsupporting
confidence: 90%
“…Coinfection occurred at 11.8% (Table-1). In Thailand, the percentage of A. platys is similar to that described in Maha Sarakham Province (29.2%) [11], but different from which reported in Songkhla (4.4%) [19], correlation with E. canis infection rate that is comparable to that described in Maha Sarakham Province (21.5%) [17], but dissimilar from which reported in Songkhla (3.9) [19]. However, these results might be explained by locality, where Maha Sarakham and Kalasin are adjoining provinces in the Northeastern part of Thailand may be similar in structure, climate, and humidity.…”
Section: Resultssupporting
confidence: 51%
“…16S rRNA metabarcoding is better able to elucidate diversity in explorative research by not relying on likely pathogen prevalence in a region nor on a priori knowledge of a pathogen's target genetic sequences, whilst also being better able to characterise coinfection [18,20]. Previous work has already developed a novel 16S and 18S rRNA metabarcoding methodology to characterise the range of blood-borne bacterial, apicomplexan and kinetoplastid organisms infecting canine hosts in Thailand, a country of substantial CVBD diversity [4,8,[21][22][23]. The current research takes this further, by tackling some of the inherent challenges of NGS microbiome research whilst also improving methods to be better at unearthing pathogen diversity in the context of the canine blood micro-environment [24].…”
Section: Introductionmentioning
confidence: 99%