Sources of infection on human plague in Qinghai province / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 178-181, 2014.
Artigo
em Chinês
| WPRIM
| ID: wpr-321638
ABSTRACT
<p><b>OBJECTIVE</b>To study the biological and genetic characteristics of 119 strains of Yersinia (Y.) pestis isolated from plague patients in Qinghai province, from 1958-2012.</p><p><b>METHODS</b>Both regular methods and different region(DFR)molecular typing techniques were used to study the epidemiological characteristics on 119 strains of Y. pesticin Qinghai during 1958-2012. Sources of Y. pestis from two outbreaks, in Nangqian county in 2004 and in Xinghai county in 2009,Qinghai province were also analyzed.</p><p><b>RESULTS</b>105 strains of Y. pestis were identified as Qinghai-Tibet Plateau Ecotype while the other 6 strains as Qilian Mountains Ecotype. 84.03% (100/119) of the tested strains carried 4 virulence factors F1(+), Pst I(+), VW(+) and Pgm(+)). 97.30% (72/74) of the tested strains showed high virulence. Strains that carrying 52×10(6), 65×10(6), 92×10(6) plasmids were distributed in Hainan, Haibei, Haixi,Yushu,Guoluo, Huangnan and Huangyuan counties. Genomovar 5 and 8 were the main gene types that circling around Qinghai Lake. Genomovar 10 was found in strains of Y. pesticin Nangqian county while Genomovar 8 was found in the strains isolated from human plague patient during the epidemics in Xinghai county in Qinghai.</p><p><b>CONCLUSION</b>Data from biological and genetic analyses on the epidemics of human plague in Nangqian county in 2004 and in Xinghai county in 2009 demonstrated that methods as DFR genotyping and virulence factors profiles, as well as plasmids profiles were powerful tools in confirming the human plague epidemics and sources of infection.</p>
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Peste
/
Yersinia pestis
/
China
/
Epidemiologia
/
Genética
/
Genótipo
/
Microbiologia
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
País/Região como assunto:
Ásia
Idioma:
Chinês
Revista:
Chinese Journal of Epidemiology
Ano de publicação:
2014
Tipo de documento:
Artigo
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