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Genotyping of strains of Yersinia pestis from Marmota baibacina-Spermophilus undulates Plague Focus of Tianshan Mountains in China
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作者 LI XIA JIN ER HEI DAI +11 位作者 DONG SHENG ZHOU BAI ZHONG CWI RI XIA DAI SHAN LONG YUE MEI YING QI HAI HONG ZHAO CUN XIANG LI XIAO YAN YANG XIAO TAO YU XIANG DAI MIN LI RUI FU YANG 《Journal of Microbiology and Immunology》 2005年第4期266-269,共4页
The aim of this study is to carry out genotyping of 61 Y. pestts strmns tsolated trom lwarmota baibacina-Spermophilus undulates Plague Focus of Tianshan Mountains in China. Primer pairs targeting the 22 DFRs were desi... The aim of this study is to carry out genotyping of 61 Y. pestts strmns tsolated trom lwarmota baibacina-Spermophilus undulates Plague Focus of Tianshan Mountains in China. Primer pairs targeting the 22 DFRs were designed for detecting the genotypes of 61 strains. As a result, 61 strains of Y. pestis were divided into four genotypes 1, 2, 3, and 4. Genotypes 1, 2 and 3 were found from west part in Northern Tianshan Mountains Plague Focus, but type 1 was only from Nileke county. The type of strains from Aheqi was different from those of Atushi counties in Southern Tianshan Mountains and similar to strains in Northern Tianshan Mountains Plague Focus. The type 4 distributed over Atushi county, which was identical with that of strains from Marmota caudae Plague Focus of the Pamiri Plateau. It is concluded that geonotyping is identical with ecotyping made by Shuli Ji. Tianshan Mountains Plague Focus and Marmota caudae Plague Focus of the Pamiri Plateau have a cross spreading profile. 展开更多
关键词 Yersinia pestis PCR Comparative genomics DFR plague focus Natural
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Temporal and spatial distribution characteristics in the natural plague foci of Chinese Mongolian gerbils based on spatial autocorrelation 被引量:5
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作者 Hai-Wen Du Yong Wang +1 位作者 Da-Fang Zhuang Xiao-San Jiang 《Infectious Diseases of Poverty》 SCIE 2017年第1期1090-1099,共10页
Background:The nest flea index of Meriones unguiculatus is a critical indicator for the prevention and control of plague,which can be used not only to detect the spatial and temporal distributions of Meriones unguicul... Background:The nest flea index of Meriones unguiculatus is a critical indicator for the prevention and control of plague,which can be used not only to detect the spatial and temporal distributions of Meriones unguiculatus,but also to reveal its cluster rule.This research detected the temporal and spatial distribution characteristics of the plague natural foci of Mongolian gerbils by body flea index from 2005 to 2014,in order to predict plague outbreaks.Methods:Global spatial autocorrelation was used to describe the entire spatial distribution pattern of the body flea index in the natural plague foci of typical Chinese Mongolian gerbils.Cluster and outlier analysis and hot spot analysis were also used to detect the intensity of clusters based on geographic information system methods.The quantity of M.unguiculatus nest fleas in the sentinel surveillance sites from 2005 to 2014 and host density data of the study area from 2005 to 2010 used in this study were provided by Chinese Center for Disease Control and Prevention.Results:The epidemic focus regions of the Mongolian gerbils remain the same as the hot spot regions relating to the body flea index.High clustering areas possess a similar pattern as the distribution pattern of the body flea index indicating that the transmission risk of plague is relatively high.In terms of time series,the area of the epidemic focus gradually increased from 2005 to 2007,declined rapidly in 2008 and 2009,and then decreased slowly and began trending towards stability from 2009 to 2014.For the spatial change,the epidemic focus regions began moving northward from the southwest epidemic focus of the Mongolian gerbils from 2005 to 2007,and then moved from north to south in 2007 and 2008.Conclusions:The body flea index of Chinese gerbil foci reveals significant spatial and temporal aggregation characteristics through the employing of spatial autocorrelation.The diversity of temporary and spatial distribution is mainly affected by seasonal variation,the human activity and natural factors. 展开更多
关键词 Geographic information system Temporal and spatial distribution Spatial autocorrelation Moran’s I Body fleas plague natural focus of Mongolian gerbils China
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