2016 - 2022年广东省人感染华支睾吸虫流行病学及空间分布特征

Q3 Medicine
G Zhang, Q Zhang, Y Fang, F Pei, Q Mao, J Liu, Z Deng, D Wu, W Lu, J Liu, Y Liao, J Zhang, J Chen
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引用次数: 0

摘要

目的:了解2016 - 2022年广东省华支睾吸虫病人感染的流行病学特征和空间分布特征,为广东省华支睾吸虫病防控措施的制定提供依据。方法:选择广东省江门市新会区、惠州市龙门县和韶关市翁源县为2016 - 2022年人支睾吸虫病固定监测点,2016 - 2022年每年在广东省另外抽取10% ~ 15%的支睾吸虫病流行县(区)作为流动监测点。每个监测点按东、西、南、北、中地理方位随机抽取1个村(社区),每个村(社区)随机抽取受试者。采用加藤-卡茨法检测粪便标本中中华按蚊虫卵,计算中华按蚊感染流行率和感染强度。此外,还收集了受试者的性别、年龄、种族、教育程度和职业。从中国国家地理信息中心下载广东省1:1万矢量电子地图,利用ArcGIS 10.7软件对2016 - 2022年广东省中华按蚊人感染情况进行核密度分析和空间自相关分析。结果:2016 - 2022年,广东省共检测居民中华按蚊感染153 188人,其中男性75 596人(49.35%),女性77 592人(50.65%),共有5 369人感染中华按蚊,总感染率为3.50%。2016 - 2022年广东省居民中华按蚊重度、中度和轻度感染检出率分别为0.76%、7.26%和91.97%,存在年龄、性别、种族、职业、学历差异(χ2 = 2 578.31、637.33、52.22、2 893.28、1 139.33,P值均< 0.05)。全球空间自相关分析显示,广东省中华按蚊人感染呈聚类分布(Moran’s I = 0.63, Z = 27.31, P < 0.05)。核密度分析结果显示,广东省中华按蚊人感染核密度较高的流行区主要分布在珠江三角洲一带,其次是粤东和粤北地区。此外,通过局部空间自相关分析,确定了广东省中华按蚊人感染流行的73个高、高聚集型。结论:2016 - 2022年广东省华支睾吸虫病人感染高发,病例以轻度感染为主,华支睾吸虫病人感染呈空间聚集性分布。需要在高危人群和地区采取针对性的支睾吸虫病控制措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Epidemiological and spatial distribution characteristics of Clonorchis sinensis human infections in Guangdong Province from 2016 to 2022].

Objective: To investigate the epidemiological characteristics and spatial distribution characteristics of Clonorchis sinensis human infections in Guangdong Province from 2016 to 2022, so as to provide insights into formulation of the clonorchiasis control measures in the province.

Methods: Xinhui District of Jiangmen City, Longmen County of Huizhou City and Wengyuan County of Shaoguan City in Guangdong Province were selected as fixed surveillance sites for human clonorchiasis from 2016 to 2022, and additional 10% to 15% counties (districts) endemic for clonorchiasis were sampled from Guangdong Province as mobile surveillance sites each year from 2016 to 2022. A village (community) was randomly selected from each surveillance site according to the geographical orientations of east, west, south, north and middle, and subjects were randomly sampled from each village (community). C. sinensis eggs were detected in subjects' stool samples using the Kato-Katz technique, and the prevalence and intensity of C. sinensis infections were calculated. In addition, subjects' gender, age, ethnicity, educational level and occupation were collected. The Guangdong Provincial 1:1 million electronic map in vector format was downloaded from the National Geomatics Center of China, and kernel density analysis and spatial autocorrelation analysis of C. sinensis human infections in Guangdong Province from 2016 to 2022 were performed using the software ArcGIS 10.7.

Results: A total of 153 188 residents were tested for C. sinensis infections in Guangdong Province from 2016 to 2022, including 75 596 men (49.35%) and 77 592 women (50.65%), and there were 5 369 residents infected with C. sinensis, with 3.50% overall prevalence of infections. The prevalence rates of severe, moderate and mild C. sinensis infections were 0.76%, 7.26% and 91.97% among C. sinensis-infected residents in Guangdong Province from 2016 to 2022, and there were age-, gender-, ethnicity-, occupation- and educational level-specific prevalence of C. sinensis human infections (χ2 = 2 578.31, 637.33, 52.22, 2 893.28 and 1 139.33, all P values < 0.05). Global spatial autocorrelation analysis showed a cluster in the prevalence of C. sinensis human infections in Guangdong Province (Moran's I = 0.63, Z = 27.31, P < 0.05). Kernel density analysis showed that the prevalence of C. sinensis human infections with a high kernel density in Guangdong Province was mainly distributed along the Zhujiang River basin in Pearl River Delta areas, followed by in eastern and northern Guangdong Province. In addition, local spatial autocorrelation analysis identified 73 high-high clusters of the prevalence of C. sinensis human infections in Guangdong Province.

Conclusions: The prevalence of C. sinensis human infections was high in Guangdong Province from 2016 to 2022, and mild infection was predominant among all clonorchiasis cases, with spatial clusters identified in the prevalence of C. sinensis human infections. Targeted clonorchiasis control measures are required among high-risk populations and areas.

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来源期刊
中国血吸虫病防治杂志
中国血吸虫病防治杂志 Medicine-Medicine (all)
CiteScore
1.30
自引率
0.00%
发文量
7021
期刊介绍: Chinese Journal of Schistosomiasis Control (ISSN: 1005-6661, CN: 32-1374/R), founded in 1989, is a technical and scientific journal under the supervision of Jiangsu Provincial Health Commission and organised by Jiangsu Institute of Schistosomiasis Control. It is a scientific and technical journal under the supervision of Jiangsu Provincial Health Commission and sponsored by Jiangsu Institute of Schistosomiasis Prevention and Control. The journal carries out the policy of prevention-oriented, control-oriented, nationwide and grassroots, adheres to the tenet of scientific research service for the prevention and treatment of schistosomiasis and other parasitic diseases, and mainly publishes academic papers reflecting the latest achievements and dynamics of prevention and treatment of schistosomiasis and other parasitic diseases, scientific research and management, etc. The main columns are Guest Contributions, Experts‘ Commentary, Experts’ Perspectives, Experts' Forums, Theses, Prevention and Treatment Research, Experimental Research, The main columns include Guest Contributions, Expert Commentaries, Expert Perspectives, Expert Forums, Treatises, Prevention and Control Studies, Experimental Studies, Clinical Studies, Prevention and Control Experiences, Prevention and Control Management, Reviews, Case Reports, and Information, etc. The journal is a useful reference material for the professional and technical personnel of schistosomiasis and parasitic disease prevention and control research, management workers, and teachers and students of medical schools.    The journal is now included in important domestic databases, such as Chinese Core List (8th edition), China Science Citation Database (Core Edition), China Science and Technology Core Journals (Statistical Source Journals), and is also included in MEDLINE/PubMed, Scopus, EBSCO, Chemical Abstract, Embase, Zoological Record, JSTChina, Ulrichsweb, Western Pacific Region Index Medicus, CABI and other international authoritative databases.
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