Ruixuan Dong, Ruying Fang, Xin Yang, Yifan Sun, Yinsheng Zhang, Sen Li
{"title":"中国东北及毗邻地区蜱虫、动物和人类之间的原发性包柔氏包虫病空间分布最新回顾。","authors":"Ruixuan Dong, Ruying Fang, Xin Yang, Yifan Sun, Yinsheng Zhang, Sen Li","doi":"10.1111/zph.13176","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Lyme disease is a tick-borne zoonotic disease caused by <i>Borrelia burgdorferi</i> sensu lato and is prevalent in northeastern Asia, particularly in the forested area of Northeastern China. However, a lack of systematic data on the spatial distribution of <i>B. burgdorferi</i> in this region hinders the prediction of its transmission risk across the landscape.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>To provide an updated overview and establish a comprehensive spatial distribution database, we conducted a systematic review of literature published between 2000 and 2022. We collected and compiled relevant data on <i>B. burgdorferi</i> in Northeastern China and its neighbouring regions, outlining its distribution in ticks, wild animals, livestock and humans. Spatial analysis was performed to identify spatial clusters of tick positivity and host infection rates.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>From a total of 1823 literature, we selected 110 references to compile 626 detection records of <i>B. burgdorferi</i>, including 288 in ticks, 109 in wildlife, 111 in livestock and domestic animals and 100 in humans. The average detection rate of <i>B. burgdorferi</i> in ticks was approximately 20%, with wildlife, livestock and domestic animal host positivity rates below 50% and human seroprevalence rates varying from 0.94% to 44.18%.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The study identified the presence of 17 tick species and ten genotypes of <i>B. burgdorferi</i> in the region, indicating a broad distribution. Notably, <i>B. burgdorferi</i> exhibited notable clustering, particularly in the central and eastern areas of Jilin Province, warranting further investigation.</p>\n </section>\n </div>","PeriodicalId":24025,"journal":{"name":"Zoonoses and Public Health","volume":"71 7","pages":"763-778"},"PeriodicalIF":2.4000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Updated Review on the Spatial Distribution of Borrelia burgdorferi Sensu Lato Across Ticks, Animals and Humans in Northeastern China and Adjacent Regions\",\"authors\":\"Ruixuan Dong, Ruying Fang, Xin Yang, Yifan Sun, Yinsheng Zhang, Sen Li\",\"doi\":\"10.1111/zph.13176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Lyme disease is a tick-borne zoonotic disease caused by <i>Borrelia burgdorferi</i> sensu lato and is prevalent in northeastern Asia, particularly in the forested area of Northeastern China. However, a lack of systematic data on the spatial distribution of <i>B. burgdorferi</i> in this region hinders the prediction of its transmission risk across the landscape.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>To provide an updated overview and establish a comprehensive spatial distribution database, we conducted a systematic review of literature published between 2000 and 2022. We collected and compiled relevant data on <i>B. burgdorferi</i> in Northeastern China and its neighbouring regions, outlining its distribution in ticks, wild animals, livestock and humans. Spatial analysis was performed to identify spatial clusters of tick positivity and host infection rates.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>From a total of 1823 literature, we selected 110 references to compile 626 detection records of <i>B. burgdorferi</i>, including 288 in ticks, 109 in wildlife, 111 in livestock and domestic animals and 100 in humans. The average detection rate of <i>B. burgdorferi</i> in ticks was approximately 20%, with wildlife, livestock and domestic animal host positivity rates below 50% and human seroprevalence rates varying from 0.94% to 44.18%.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>The study identified the presence of 17 tick species and ten genotypes of <i>B. burgdorferi</i> in the region, indicating a broad distribution. Notably, <i>B. burgdorferi</i> exhibited notable clustering, particularly in the central and eastern areas of Jilin Province, warranting further investigation.</p>\\n </section>\\n </div>\",\"PeriodicalId\":24025,\"journal\":{\"name\":\"Zoonoses and Public Health\",\"volume\":\"71 7\",\"pages\":\"763-778\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Zoonoses and Public Health\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/zph.13176\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zoonoses and Public Health","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/zph.13176","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
An Updated Review on the Spatial Distribution of Borrelia burgdorferi Sensu Lato Across Ticks, Animals and Humans in Northeastern China and Adjacent Regions
Background
Lyme disease is a tick-borne zoonotic disease caused by Borrelia burgdorferi sensu lato and is prevalent in northeastern Asia, particularly in the forested area of Northeastern China. However, a lack of systematic data on the spatial distribution of B. burgdorferi in this region hinders the prediction of its transmission risk across the landscape.
Methods
To provide an updated overview and establish a comprehensive spatial distribution database, we conducted a systematic review of literature published between 2000 and 2022. We collected and compiled relevant data on B. burgdorferi in Northeastern China and its neighbouring regions, outlining its distribution in ticks, wild animals, livestock and humans. Spatial analysis was performed to identify spatial clusters of tick positivity and host infection rates.
Results
From a total of 1823 literature, we selected 110 references to compile 626 detection records of B. burgdorferi, including 288 in ticks, 109 in wildlife, 111 in livestock and domestic animals and 100 in humans. The average detection rate of B. burgdorferi in ticks was approximately 20%, with wildlife, livestock and domestic animal host positivity rates below 50% and human seroprevalence rates varying from 0.94% to 44.18%.
Conclusions
The study identified the presence of 17 tick species and ten genotypes of B. burgdorferi in the region, indicating a broad distribution. Notably, B. burgdorferi exhibited notable clustering, particularly in the central and eastern areas of Jilin Province, warranting further investigation.
期刊介绍:
Zoonoses and Public Health brings together veterinary and human health researchers and policy-makers by providing a venue for publishing integrated and global approaches to zoonoses and public health. The Editors will consider papers that focus on timely collaborative and multi-disciplinary research in zoonoses and public health. This journal provides rapid publication of original papers, reviews, and potential discussion papers embracing this collaborative spirit. Papers should advance the scientific knowledge of the sources, transmission, prevention and control of zoonoses and be authored by scientists with expertise in areas such as microbiology, virology, parasitology and epidemiology. Articles that incorporate recent data into new methods, applications, or approaches (e.g. statistical modeling) which enhance public health are strongly encouraged.