2024年我国血吸虫病监测省监测工作实施质量评价

doi:10.12140/j.issn.1000-7423.2025.04.007

中国寄生虫学与寄生虫病杂志 ›› 2025, Vol. 43 ›› Issue (4): 489-496.doi: 10.12140/j.issn.1000-7423.2025.04.007

2024年我国血吸虫病监测省监测工作实施质量评价

郭苏影¹()(), 李银龙¹, 李仕祯¹, 党辉¹, 张利娟¹, 何君逸¹, 杨帆¹, 祝红庆¹, 贾铁武¹, 秦志强¹, 冯婷¹, 邓王平¹, 吕超¹, 杨颖¹, 郝瑜婉¹, 孙军玲², 曹淳力¹, 许静¹^,³^,^*()(), 李石柱¹^,³

1 中国疾病预防控制中心寄生虫病预防控制所（国家热带病研究中心），传染病溯源预警与智能决策全国重点实验室，国家卫生健康委员会寄生虫病原与媒介生物学重点实验室，世界卫生组织热带病合作中心，科技部国家级热带病国际研究中心，上海 200025
2 中国疾病预防控制中心（中国预防医学科学院），北京 102206
3 上海交通大学医学院-国家热带病研究中心全球健康学院，上海 200025

收稿日期:2025-02-10 修回日期:2025-03-25 出版日期:2025-08-30 发布日期:2025-10-09
通讯作者: *许静（ORCID：0000-0002-4620-2025），女，博士，研究员，从事寄生虫病预防控制研究。E-mail：xujing@nipd.chinacdc.cn
作者简介:郭苏影（ORCID：0000-0001-7043-3512），女，硕士，助理研究员，从事寄生虫病预防控制研究。E-mail：guosy@nipd.chinacdc.cn
基金资助:
上海市公共卫生体系建设三年行动计划（2023—2025年）重点学科项目(GWVI-11.1-12);国家自然科学基金(82073619)

Evaluation of implementation quality of schistosomiasis surveillance programmes in surveillance provinces of China in 2024

GUO Suying¹()(), LI Yinlong¹, LI Shizhen¹, DANG Hui¹, ZHANG Lijuan¹, HE Junyi¹, YANG Fan¹, ZHU Hongqing¹, JIA Tiewu¹, QIN Zhiqiang¹, FENG Ting¹, DENG Wangping¹, LV Chao¹, YANG Ying¹, HAO Yuwan¹, SUN Junling², CAO Chunli¹, XU Jing¹^,³^,^*()(), LI Shizhu¹^,³

1 National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Center for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
² Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China
³ School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China

Received:2025-02-10 Revised:2025-03-25 Online:2025-08-30 Published:2025-10-09
Contact: *E-mail: xujing@nipd.chinacdc.cn
Supported by:
Key Discipline Project of the Three-Year Initiative Plan for Strengthening Public Health System Construction in Shanghai (2023-2025)(GWVI-11.1-12);National Science Foundation of China(82073619)

摘要/Abstract

摘要：

目的了解和评价我国当前血吸虫病监测工作实施质量及存在的问题，为进一步推动血吸虫病监测工作提供参考。方法于2024年10—12月采用配额抽样法，选择全国承担血吸虫病监测任务的13个省（自治区、直辖市，以下简称“省”）的22个县（市、区，以下简称“县”）进行评价。基于《信息技术数据质量评价指标》（GB/T 36344—2018）和专家会议法构建评价指标，从规范性、完整性、准确性、一致性和时效性5个方面评价调查对象的监测工作数据质量。每个调查县共抽取50人份监测对象的血清样品、30张改良加藤厚涂片（少于30张，则全部检查）和10个查螺环境进行复核。指标评分采用等权重法进行分析，计算平均分、血清和病原学复核样品符合率等描述性统计指标，采用Wilcoxon秩和检验比较血吸虫病消除及非流行地区与未消除地区之间的平均分差异。结果 22个评价县共包括7个消除省监测县、2个非流行县和13个未消除省流行监测县。22个评价县平均分为（9.04 ± 0.79）分，未消除省流行监测县平均分为（8.92 ± 0.76）分，消除省监测县及非流行县平均分为（9.22 ± 0.83）分，其差异无统计学意义（Z = -0.889，P > 0.05）。22个调查县监测工作的规范性、完整性、准确性、一致性和时效性平均分分别为（1.86 ± 0.35）、（1.73 ± 0.46）、（1.77 ± 0.43）、（1.95 ± 0.21）和（1.73 ± 0.46）分。其中，有3个县监测经费未到位，6个县钉螺调查原始记录不完整，3个县7份血清样品原始检测结果与定性复核结果不一致，3个县钉螺监测的经纬度、查螺示意图等不准确，1个县原始数据与统计表总数不一致，6个县未及时更新、录入和整理数据。结论全国血吸虫病监测县监测工作质量较好，但时效性和规范性有待于进一步提高。为保障监测质量，应继续维持经费和物资支持、加强培训以提升监测专业技术人员能力。

关键词: 血吸虫病, 监测, 质量评价

Abstract:

Objective To understand and evaluate the implementation quality and problems of current schistosomiasis surveillance programmes in China, so as to provide insights into facilitating schistosomiasis surveillance programme. Methods In October to December, 2024, a total of 22 counties (county-level cities or districts, hereinafter referred to as “counties”) were sampled using a quota sampling method from 13 provinces (autonomous regions, municipalities, hereinafter referred to as “provinces”) where national schistosomiasis surveillance programmes were implemented. Based on Information technology―Evaluation indicators for data quality (GB/T 36344-2018) and the expert meeting method, evaluation indicators were proposed to assess the quality of the surveillance programmes, including standardization, integrity, accuracy, consistency, and timeliness. A total of 50 subjects’ serum samples, 30 Kato-Katz slides (all slides were examined if less than 30 slides collected from residents were available), and 10 snail survey environments were sampled from each survey county for re-reviews. The indicator scores were analyzed using the equal weighting method, and the average scores and the coincidence rates of serum and etiologic re-review samples were calculated. In addition, the difference in the average score was compared with rank sum test between elimination, nonendemic areas and non-elimination areas. Results The 22 evaluation counties included 7 surveillance counties and 2 nonendemic counties in schistosomiasis elimination provinces, and 13 epidemic surveillance counties in non-elimination provinces. The average score was (9.04 ± 0.79) points in 22 evaluation counties, and (8.92 ± 0.76) points in surveillance counties in non-elimination provinces and (9.22 ± 0.83) points in surveillance and nonendemic counties in elimination provinces (Z = -0.889, P > 0.05). The average scores for standardization, integrity, accuracy, consistency, and timeliness of schistosomiasis surveillance programmes were (1.86 ± 0.35), (1.73 ± 0.46), (1.77 ± 0.43), (1.95 ± 0.21), and (1.73 ± 0.46) points in 22 survey counties, respectively. Among the survey counties, there were 3 counties with insufficient surveillance funds, 6 with incomplete original records of snail surveys, 3 with inconsistent qualitative between original and re-review results of 7 serum samples, 3 with inaccurate snail monitoring results (including longitude and latitude of snail surveillance, and snail survey diagram), 1 with inconsistent original data with total numbers in statistical tables, and 6 with failure in timely data update, entry, and management. Conclusion The quality of national schistosomiasis surveillance programmes is high in surveillance counties in China; however, the timeliness and standardization remain to be further improved. Sustainable fund and material supports and improved capability through training among monitoring professionals are required to ensure the quality of surveillance programmes.

Key words: Schistosomiasis, Surveillance, Quality evaluation

中图分类号:

R532.21

郭苏影, 李银龙, 李仕祯, 党辉, 张利娟, 何君逸, 杨帆, 祝红庆, 贾铁武, 秦志强, 冯婷, 邓王平, 吕超, 杨颖, 郝瑜婉, 孙军玲, 曹淳力, 许静, 李石柱. 2024年我国血吸虫病监测省监测工作实施质量评价[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(4): 489-496.

GUO Suying, LI Yinlong, LI Shizhen, DANG Hui, ZHANG Lijuan, HE Junyi, YANG Fan, ZHU Hongqing, JIA Tiewu, QIN Zhiqiang, FENG Ting, DENG Wangping, LV Chao, YANG Ying, HAO Yuwan, SUN Junling, CAO Chunli, XU Jing, LI Shizhu. Evaluation of implementation quality of schistosomiasis surveillance programmes in surveillance provinces of China in 2024[J]. Chinese Journal of Parasitology and Parasitic Diseases, 2025, 43(4): 489-496.

图/表 4

表1

表2

全国血吸虫病监测工作质量评价指标

一级指标（权重） Primary indicators (Weight)	二级指标 (权重） Secondary indicators (Weight)	指标描述 Description for indicators
1规范性 (2) 1Standardization (2)	1.1业务规则 (1) 1.1 Business rules (1)	有技术人员职责规范、按国家方案制订本级机构工作计划、有正确的工作时间表和合理的经费保障。 There are responsibilities and duties for technical professionals, work plans for local institutions formulated according to the national plan, correct work schedules, and reasonable fund guarantees.
	1.2安全规范 (1) 1.2 Safety code (1)	按要求备份数据库。 Backup the database as required.
2完整性 (2) 2 Integrity (2)	2.1数据元素完整性(1) 2.1 Integrity of data elements (1)	按照监测方案要求，抽取30条原始数据中缺失记录条数 < 10条。 According to the requirements of the surveillance scheme, < 10 missing records from the extracted 30 raw data.
	2.2数据记录完整性(1) 2.2 Integrity of data records (1)	按照监测方案要求，监测数据库中缺失记录条数 < 10%。 According to the requirements of the surveillance scheme, < 10% missing records from surveillance databases.
3准确性 (2) 3 Accuracy (2)	3.1人群监测结果正确性(1) 3.1 Accuracy of human surveillance results (1)	人群监测中改良加藤厚涂片/血清样品的定性复核结果符合率 ≥ 95%。 ≥ 95% coincidence rate of qualitative re-review results of Kato-Katz slides/ serological samples during human surveillance programmes.
	3.2钉螺监测结果正确性(1) 3.2 Accuracy of Oncomelania hupensis surveillance results (1)	查螺原始记录、螺卡和查螺日志中，环境经纬度与GPS定位差异 < 0.1°，螺情调查示意图与原始记录中相关信息对应。 In the original records, snail cards, and daily snail survey records, the difference between environmental latitude and longitude and GPS positioning is less than 0.1°, and the diagrammatic sketch of snail surveys corresponds to the relevant information in the original records.
4一致性 (2) 4 Consistency (2)	4.1相同数据一致性(1) 4.1 Consistency of same data (1)	同一变量值在原始调查记录与上报的监测数据库中一致，如人群调查表中某条记录的姓名与该条记录在数据库中所显示的姓名字段变量值是否一致。 The same variable value is consistent between the original survey records and the data reported in the surveillance database, such as whether the variable value of a name field in a population survey form matches the name field displayed in the database for that record.
	4.2关联数据一致性(1) 4.2 Consistency of linked data (1)	原始调查记录和监测数据库中关联数据一致，如村级查出有螺面积与该村全部查螺环境中查出有螺面积合计值是否一致。 The original investigation records are consistent with the linked data in the surveillance database, such as whether the area of snails found at a village level is consistent with the total area of snails found in all snail environments in the village.
5时效性 (2) 5 Timeliness (2)	5.1基于时间段的正确性(1) 5.1 Accuracy based on the time quantum (1)	基于日期范围的病例报告、疫点处置、人群监测、家畜监测、钉螺调查、风险监测数据中记录数符合监测方案中调查时间需求。 The number of records in the case report, epidemic foci disposal, human surveillance, livestock surveillance, snail survey and risk surveillance data based on the date range meets the requirements of investigation time according to the surveillance scheme.
	5.2基于时间点的正确性(1) 5.2 Accuracy based on the time point (1)	病例信息等监测结果录入符合监测方案中要求上报的时间点。 The time points for entry of surveillance results including case information are the reported according to the requirements in the surveillance scheme.

表2

图1

表3

参考文献 20

[1]	Zhou XN, Wang LY, Chen MG, et al. The public health significance and control of schistosomiasis in China: Then and now[J]. Acta Trop, 2005, 96(2/3): 97-105.
[2]	詹思延. 流行病学[M]. 8版. 北京: 人民卫生出版社, 2017.
	Zhan SY. Epidemiology[M]. 8th ed. Beijing: People’s Medical Publishing House, 2017. (in Chinese)
[3]	张利娟, 何君逸, 杨帆, 等. 2023年全国血吸虫病防治进展[J]. 中国血吸虫病防治杂志, 2024, 36(3): 221-227.
	Zhang LJ, He JY, Yang F, et al. Progress of schistosomiasis control in China in 2023[J]. Chin J Schisto Control, 2024, 36(3): 221-227. (in Chinese)
[4]	周晓农. 我国血吸虫病的监测与预警[J]. 中国血吸虫病防治杂志, 2009, 21(5): 341-344.
	Zhou XN. Surveillance and forecast of schistosomiasis transmission in China[J]. Chin J Schisto Control, 2009, 21(5): 341-344. (in Chinese)
[5]	党辉, 李银龙, 吕山, 等. 《全国血吸虫病监测方案(2020年版)》释义[J]. 热带病与寄生虫学, 2020, 18(3): 133-137.
	Dang H, Li YL, Lv S, et al. Interpretation for National Surveillance Plan of Schistosomiasis (version 2020)[J]. J Trop Dis Parasitol, 2020, 18(3): 133-137. (in Chinese)
[6]	国家市场监督管理总局国家标准化管理委员会. 信息技术数据质量评价指标: GB/T 36344—2018[S]. 北京: 中国标准出版社, 2018: 2-5.
	State Administration for Market Regulation, Standardization Administration of the People’s Republic of China. Information technology―Evaluation indicators for data quality: GB/T 36344-2018[S]. Beijing: Standards Press of China, 2018: 2-5. (in Chinese)
[7]	周晓农, 朱泽林, 涂宏, 等. 《加快实现消除血吸虫病目标行动方案(2023—2030年)》解读[J]. 中国血吸虫病防治杂志, 2024, 36(1): 7-12.
	Zhou XN, Zhu ZL, Tu H, et al. Interpretation of the Action Plan to Accelerate the Elimination of Schistosomiasis in China(2023-2030)[J]. Chin J Schisto Control, 2024, 36(1): 7-12. (in Chinese)
[8]	王应东. GPS误差分析和精度控制[J]. 测绘与空间地理信息, 2011, 34(6): 235-236.
	Wang YD. GPS error analysis and precision control[J]. Geomat Spatial Inf Technol, 2011, 34(6): 235-236. (in Chinese)
[9]	国家疾病预防控制局, 国家卫生健康委员会, 国家发展和改革委员会, 等. 关于建立健全智慧化多点触发传染病监测预警体系的指导意见[J]. 中国病毒病杂志, 2024, 14(6): 518-520.
	National Disease Control and Prevention Administration, National Health Commission, National Development and Reform Commission, et al. National Health Commission, National Development and Reform Commission, Guiding opinions on establishing and improving the intelligent multi-point trigger infectious disease monitoring and early warning system[J]. Chin J Viral Dis, 2024, 14(6): 518-520. (in Chinese)
[10]	Shen Y, Liu YH, Krafft T, et al. Progress and challenges in infectious disease surveillance and early warning[J]. Med Plus, 2025, 2(1): 100071.
[11]	许静, 曹淳力, 吕山, 等. 血吸虫病防治这10年: 进展与挑战[J]. 中国血吸虫病防治杂志, 2022, 34(6): 559-565, 579.
	Xu J, Cao CL, Lü S, et al. Schistosomiasis control in China from 2012 to 2021: Progress and challenges[J]. Chin J Schisto Control, 2022, 34(6): 559-565, 579. (in Chinese)
[12]	张丽, 尹建海, 夏志贵. 中国防止疟疾输入再传播的成效与挑战分析[J]. 中国热带医学, 2024, 24(4): 365-371.
	Zhang L, Yin JH, Xia ZG. Analysis of effectiveness and challenges in preventing the re-establishment of malaria transmission in China[J]. China Trop Med, 2024, 24(4): 365-371. (in Chinese)
[13]	何君逸, 李仕祯, 杨帆, 等. 血吸虫病消除五省消除复核后疫情监测结果分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(5): 601-607.
	He JY, Li SZ, Yang F, et al. Analysis of surveillance results on schistosomiasis prevalence post-reassessment of elimination in five provinces under schistosomiasis elimination program[J]. Chin J Parasitol Parasit Dis, 2024, 42(5): 601-607. (in Chinese)
[14]	郭苏影, 李银龙, 李仕祯, 等. 2020—2022年全国血吸虫病监测点流动人群血清流行病学特征分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(6): 694-700.
	Guo SY, Li YL, Li SZ, et al. Serological epidemic characteristics of transient population at national schistosomiasis surveillance sites of China, 2020-2022[J]. Chin J Parasitol Parasit Dis, 2024, 42(6): 694-700. (in Chinese)
[15]	张键锋, 孙乐平, 杨坤, 等. 江苏省血吸虫病查病质控体系的构建与应用Ⅰ县级人员血清学检测能力[J]. 中国血吸虫病防治杂志, 2013, 25(5): 457-461.
	Zhang JF, Sun LP, Yang K, et al. Establishment and application of quality control system for detection of schistosomiasis in Jiangsu Province I Ability of serological detection among county-level personnel[J]. Chin J Schisto Control, 2013, 25(5): 457-461. (in Chinese)
[16]	朱蓉, 秦志强, 冯婷, 等. 全国血吸虫病监测点现场病原学检测效果及质控评估[J]. 中国血吸虫病防治杂志, 2013, 25(1): 11-15.
	Zhu R, Qin ZQ, Feng T, et al. Assessment of effect and quality control for paracitological tests in national schistosomiasis surveillance sites[J]. Chin J Schisto Control, 2013, 25(1): 11-15. (in Chinese)
[17]	何君逸, 李仕祯, 邓王平, 等. 我国血吸虫病防治机构能力建设现状调查[J]. 中国血吸虫病防治杂志, 2024, 36(1): 67-73.
	He JY, Li SZ, Deng WP, et al. Capacity building in schistosomiasis control institutions in China: A cross-sectional study[J]. Chin J Schisto Control, 2024, 36(1): 67-73. (in Chinese)
[18]	郝瑜婉, 田添, 朱泽林, 等. 全国疾控机构重点寄生虫病防治能力建设现状分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(1): 83-90.
	Hao YW, Tian T, Zhu ZL, et al. Current situation of capacity building for key parasitic diseases control in CDCs of China[J]. Chin J Parasitol Parasit Dis, 2024, 42(1): 83-90. (in Chinese)
[19]	俞铖航, 郑彬. 基于AHP模糊综合评判法的寄生虫病标准制定选择的研究[J]. 中国卫生标准管理, 2019, 10(9): 7-11.
	Yu CH, Zheng B. Research of FCE based on AHP in formulation of the parasitic disease standard[J]. China Health Stand Manag, 2019, 10(9): 7-11. (in Chinese)
[20]	夏蒙, 周杰, 程湘晖, 等. 基于加权秩和比法综合评价湖南省血吸虫病监测质量控制体系[J]. 疾病监测, 2024, 39(1): 85-90.
	Xia M, Zhou J, Cheng XH, et al. A comprehensive evaluation of quality control system for schistosomiasis surveillance in Hunan based on weighted rank-sum ratio method[J]. Dis Surveillance, 2024, 39(1): 85-90. (in Chinese)

血吸虫病消除达标状态 Status of schistosomiasis elimination criteria	监测省（自治区、直辖市） Surveillance provinces (autonomous regions, municipalities)	总监测县（市、区）数^a Total number of surveillance counties (county-level cities, districts)^a	调查县（市、区） Surveyed counties (county-level cities, districts)
消除地区 Eliminated area	上海 Shanghai	8	松江区 Songjiang District
	广东 Guangdong	14	曲江区 Qujiang District
	福建 Fujian	16	霞浦县 Xiapu County
	广西 Guangxi	20	福绵区、横州市 Fumian District, Hengzhou City
	浙江 Zhejiang	54	常山县、衢江区 Changshan County, Qujiang District
未消除地区 Non-eliminated area	云南 Yunnan	18	洱源县、永胜县 Eryuan County, Yongsheng County
	江西 Jiangxi	39	瑞昌市、余干县 Ruichang City, Yugan County
	湖南 Hunan	41	澧县、岳阳县 Lixian County, Yueyang County
	安徽 Anhui	50	贵池区、宿松县 Guichi District, Susong County
	四川 Sichuan	63	西昌市、彭山区 Xichang City, Pengshan District
	江苏 Jiangsu	65	江都区、丹徒区 Jiangdu District, Dantu District
	湖北 Hubei	65	阳新县 Yangxin County
非流行区 Non-epidemic area	湖北 Hubei	65	秭归县 Zigui County
	重庆 Chongqing	2	丰都县 Fengdu County

2024年我国血吸虫病监测省监测工作实施质量评价

Evaluation of implementation quality of schistosomiasis surveillance programmes in surveillance provinces of China in 2024

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 4

参考文献 20

相关文章 15

编辑推荐

Metrics

本文评价

调查县（市、区） Surveyed counties (county-level cities, districts)	阳性血清样品份数 No. positive serological samples		阴性血清样品份数 No. negative serological samples		定性结果符合率/% Coincidence rate of qualitative results/%
调查县（市、区） Surveyed counties (county-level cities, districts)	复核阳性数 No. positive by re-reviews	复核阴性数 No. negative by re-reviews	复核阳性数 No. positive by re-reviews	复核阴性数 No. negative by re-reviews	定性结果符合率/% Coincidence rate of qualitative results/%
上海松江 Songjiang, Shanghai	0	0	0	50	100
江苏丹徒 Dantu, Jiangsu	0	0	0	50	100
江苏江都 Jiangdu, Jiangsu	8	0	0	42	100
浙江常山 Changshan, Zhejiang	2	0	0	48	100
浙江衢江 Qujiang, Zhejiang	2	0	0	48	100
安徽贵池 Guichi, Anhui	7	2	1	48	94.83
安徽宿松 Susong, Anhui	18	1	0	66	98.82
福建霞浦 Xiapu, Fujian	0	0	0	50	100
江西瑞昌 Ruichang, Jiangxi	11	0	0	39	100
江西余干 Yugan, Jiangxi	9	3	0	40	94.23
湖北阳新 Yangxin, Hubei	19	0	0	31	100
湖北秭归 Zigui, Hubei	0	0	0	50	100
湖南澧县 Lixian, Hunan	10	0	0	40	100
湖南岳阳 Yueyang, Hunan	1	0	0	128	100
广东曲江 Qujiang, Guangdong	0	0	0	50	100
广西福绵 Fumian, Guangxi	0	0	0	50	100
广西横州 Hengzhou, Guangxi	0	0	0	50	100
四川彭山 Pengshan, Sichuan	0	0	0	52	100
四川西昌 Xichang, Sichuan	7	0	0	45	100
云南洱源 Eryuan, Yunnan	30	0	0	20	100
云南永胜 Yongsheng, Yunnan	30	0	0	20	100
重庆丰都 Fengdu, Chongqing	3	0	0	47	100
合计 Total	157	6	1	1 064	99.43

[1]	朱慧慧, 黄继磊, 周长海, 诸廷俊, 赵陆源, 钱门宝, 李石柱. 2022年全国土源性线虫感染监测情况分析[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(4): 451-457.
[2]	董博文, 钟昊然, 朱丹霖, 李浩, 陆珂, 傅志强, 刘金明, 金亚美. 日本血吸虫病肝纤维化中肝星状细胞凋亡标志物的筛选[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(4): 475-481.
[3]	许晓娟, 丁宋军, 代波, 刘婷, 高风华, 张世清. 2020—2024年安徽省国家血吸虫病监测点疫情分析[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(4): 482-488.
[4]	何婷婷, 谢婧姿, 李宗光, 袁敏, 吕尚标, 林丹丹, 李宜锋. 2016—2023年江西省血吸虫病传播阻断阶段防控策略的效果[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(3): 351-357.
[5]	戴佳芮, 朱爱娅, 李杨, 李安梅, 耿燕, 袁茂阳, 甘欣甜. 2020—2023年贵州省国家监测点人群土源性线虫感染情况[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(3): 358-363.
[6]	许静, 王强, 郭苏影, 张利娟, 周晓农, 李石柱. 中国血吸虫病防控历史回顾与展望：从发现到阻断传播[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(2): 155-161.
[7]	朱素娟, 霍亮亮, 王衡, 刘帅, 汤益, 金行一, 郑彩访, 徐敏捷. 2004—2023年杭州市流动人群血吸虫病流行特征[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(2): 181-186.
[8]	李飞, 刘耀宝, 曹俊. 恶性疟原虫青蒿素耐药分子监测研究进展[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(2): 260-268.
[9]	廖沙, 张仲双, 杨柳, 喻文杰, 何伟, 张光葭, 姚人新, 李汭芮, 黄燕, 王谦. 2021—2023年四川省棘球蚴病监测结果分析[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(1): 14-19.
[10]	赵陆源, 黄继磊, 周长海, 诸廷俊, 朱慧慧, 周晓农, 李石柱, 钱门宝. 2021年全国土源性线虫感染监测结果分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(6): 687-693.
[11]	郭苏影, 李银龙, 李仕祯, 党辉, 曹淳力, 许静, 李石柱. 2020—2022年全国血吸虫病监测点流动人群血清流行病学特征分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(6): 694-700.
[12]	何君逸, 李仕祯, 杨帆, 李银龙, 郭苏影, 张利娟, 曹淳力, 许静, 李石柱. 血吸虫病消除五省消除复核后疫情监测结果分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(5): 601-607.
[13]	王晶莹, 帖萍, 郑玉华, 白永飞, 王婷, 王三桃. 2019—2023年山西省土源性线虫感染监测结果分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(5): 629-634.
[14]	吕文祥, 卜灿灿, 李曰进, 王龙江, 王用斌, 孔祥礼, 张本光, 闫歌, 许艳. 2023年山东省人体肠道蠕虫感染监测分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(5): 672-675.
[15]	柴应植, 陈华良, 余可根, 张轩, 王笑笑, 张家祺, 徐文婕, 阮卫. 2013—2022年浙江省华支睾吸虫感染监测结果分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(4): 469-474.