2013—2023年安徽省传染病网络直报系统法定寄生虫病报告情况分析

doi:10.12140/j.issn.1000-7423.2025.01.014

中国寄生虫学与寄生虫病杂志 ›› 2025, Vol. 43 ›› Issue (1): 91-96.doi: 10.12140/j.issn.1000-7423.2025.01.014

2013—2023年安徽省传染病网络直报系统法定寄生虫病报告情况分析

滕雪娇¹(), 黄浩², 朱剑辉², 钟晨², 陈晨², 吴家兵¹, 邓舒¹^,^*()

1 安徽省疾病预防控制中心，安徽合肥 230601
2 旌德县疾病预防控制中心，安徽旌德 242600

收稿日期:2024-06-28 修回日期:2024-09-22 出版日期:2025-02-28 发布日期:2025-03-26
通讯作者: *邓舒，女，硕士，主任医师，从事传染病监测与疾病控制工作。E-mail：ds@ahcdc.com.cn
作者简介:滕雪娇（ORCID：0009-0006-7323-2787），女，硕士，主治医师，从事传染病监测与疾病控制工作。E-mail：txj@ahcdc.com.cn
基金资助:
国家疾控局公共卫生人才培养支持项目

Analysis of notifiable parasitic diseases cases reported to the National Notifiable Infectious Disease Reporting System in Anhui Province from 2013 to 2023

TENG Xuejiao¹(), HUANG Hao², ZHU Jianhui², ZHONG Chen², CHEN Chen², WU Jiabing¹, DENG Shu¹^,^*()

1 Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, Anhui, China
2 Jingde County Center for Disease Control and Prevention, Jingde 242600, Anhui, China

Received:2024-06-28 Revised:2024-09-22 Online:2025-02-28 Published:2025-03-26
Contact: *E-mail: ds@ahcdc.com.cn
Supported by:
Public Health Talent Training Program Sponsored by the National Disease Control and Prevention Administration

摘要/Abstract

摘要：

目的了解2013—2023年安徽省传染病网络直报系统中法定寄生虫病报告情况，分析其流行病学特征。方法从中国疾病预防控制信息系统获取2013年1月1日—2023年12月31日现住址为安徽省的阿米巴痢疾、血吸虫病、疟疾、内脏利什曼病、棘球蚴病和丝虫病等6种法定寄生虫病病例资料。采用描述性流行病学方法分析报告病例的三间分布特征、报告及时率，评价病例诊断至报告时间间隔，应用卡方检验、Fisher确切概率法及秩和检验进行组间比较。结果 2013—2023年安徽省共报告法定寄生虫病25 699例，其中血吸虫病24 536例、疟疾1 072例、阿米巴痢疾50例、内脏利什曼病6例、棘球蚴病35例、丝虫病0例。年均发病率3.79/10万，整体呈下降趋势。男性发病率为4.26/10万，高于女性的3.32/10万（χ² = 398.302，P < 0.05）。病例年龄主要集中在40~59岁，占60.96%（15 667/25 699）。职业以农民为主，占92.70%（23 824/25 699），发病高峰集中在6—11月，占76.26%（19 598/25 699）。安庆市报告的血吸虫病病例数占比最高（32.18%，7 896/24 536），合肥市报告的疟疾病例数占比最高（52.15%，559/1 072）。诊断至报告时间间隔中位数为4.61 h，棘球蚴病报告及时率最低，为97.14%（34/35），不同病种诊断至报告时间间隔以及报告及时率差异均有统计学意义（H = 26.559；χ² = 17.204，均P < 0.05）。结论 2013—2023年安徽省法定寄生虫病呈低流行态势，中老年、男性、农民为高发人群，不同病种的发病率存在地区差异，棘球蚴病报告及时率较低。

关键词: 法定寄生虫病, 网络直报系统, 流行病学特征, 安徽省

Abstract:

Objective To investigate the notifiable parasitic diseases reported to the National Notifiable Infectious Disease Reporting System (NNIDRS) in Anhui Province from 2013 to 2023, and to analyze their epidemiological characteristics. Methods The demographic and clinical characteristics of cases with six notifiable parasitic diseases, including amoebic dysentery, schistosomiasis, malaria, visceral leishmaniasis, echinococcosis, and filariasis, and with current address in Anhui Province during the period from January 1, 2013, to December 31, 2023, were captured from the China Information System for Disease Control and Prevention. The temporal, spatial and population distributions of reported cases with six notifiable parasitic diseases, and the proportion of timely case reporting were analyzed with a descriptive epidemiological method, and the interval between disease diagnosis and case reporting to the NNIDRS was compared among groups with chi-square test, Fisher’s exact test, and Wilcoxon rank-sum test. Results A total of 25 699 cases with notifiable parasitic disease were reported in Anhui Province from 2013 to 2023, including 24 536 cases with schistosomiasis, 1 072 cases with malaria, 50 cases with amoebic dysentery, 6 cases with visceral leishmaniasis, 35 cases with echinococcosis, and no cases with filariasis were reported. The average annual incidence of notifiable parasitic diseases was 3.79/100 000 in Anhui Province from 2013 to 2023, and the annual incidence appeared an overall tendency towards a decline during the 11-year period. The incidence of notifiable parasitic diseases was higher among men (4.26/100 000) than among women (3.32/100 000) (χ² = 398.302, P < 0.05), and there were 60.96% (15 667/25 699) of cases with ages of 40 to 59 years. Farmer was the predominant occupation (92.70%, 23 824/25 699), and the incidence of notifiable parasitic diseases peaked during the period from June to November (76.26%, 19 598/25 699). The highest proportion of schistosomiasis cases was found in Anqing City (32.18%, 7 896/24 536), and the greatest proportion of malaria cases was recorded in Hefei City (52.15%, 559/1 072). The median interval between disease diagnosis and case reporting to the NNIDRS was 4.61 h, and the lowest percentage of timely case reporting was seen for echinococcosis (97.14%, 34/35). In addition, there were significant differences in the interval between disease diagnosis and case reporting (H = 26.559, P < 0.05) and the percentage of timely case reporting in terms of types of notifiable parasitic disease (χ² = 17.204, P < 0.05). Conclusion The prevalence of notifiable parasitic diseases was low in Anhui Province from 2013 to 2023, with middle-aged and elderly male farmers as high-prevalence populations. In addition, there was a region-specific incidence rate of notifiable parasitic diseases, and the proportion of echinococcosis cases reporting to the NNIDRS was low.

Key words: Notifiable parasitic disease, Network reporting system, Epidemiological characteristic, Anhui Province

中图分类号:

滕雪娇, 黄浩, 朱剑辉, 钟晨, 陈晨, 吴家兵, 邓舒. 2013—2023年安徽省传染病网络直报系统法定寄生虫病报告情况分析[J]. 中国寄生虫学与寄生虫病杂志, 2025, 43(1): 91-96.

TENG Xuejiao, HUANG Hao, ZHU Jianhui, ZHONG Chen, CHEN Chen, WU Jiabing, DENG Shu. Analysis of notifiable parasitic diseases cases reported to the National Notifiable Infectious Disease Reporting System in Anhui Province from 2013 to 2023[J]. Chinese Journal of Parasitology and Parasitic Diseases, 2025, 43(1): 91-96.

图/表 3

表1

表2

表3

参考文献 27

[1]	吴忠道. 我国人体寄生虫病与少见或罕见寄生虫病[J]. 热带病与寄生虫学, 2022, 20(3): 121-125.
	Wu ZD. Human parasitic diseases and uncommon or rare parasitic diseases in China[J]. J Trop Dis Parasitol, 2022, 20(3): 121-125. (in Chinese)
[2]	全国人民代表大会. 中华人民共和国传染病防治法[EB/OL]. (2020-01-22)[2024-06-24]. http://www.npc.gov.cn/npc/c2/c238/202001/t20200122_304251.html.
	The National People’s Congress of the People’s Republic of China. Law of the People’s Republic of China on prevention and control of infectious diseases[EB/OL]. (2020-01-22)[2024-06-24]. http://www.npc.gov.cn/npc/c2/c238/202001/t20200122_304251.html. (in Chinese)
[3]	马家奇, 赵自雄. 中国疾病控制公共卫生信息化建设与展望[J]. 中国卫生信息管理杂志, 2016, 13(1): 18-21.
	Ma JQ, Zhao ZX. Status and prospect of public health informatization in China’s mainland[J]. Chin J Health InformManag, 2016, 13(1): 18-21. (in Chinese)
[4]	马家奇. 国家疾病网络直报系统与医院信息系统连接的公共卫生意义[J]. 中华预防医学杂志, 2008, 42(S1): 108-109.
	Ma JQ. The significance of integration national disease website reporting system with hospital information network[J]. Chin J Prev Med, 2008, 42(S1): 108-109. (in Chinese)
[5]	许占山. 安徽省寄生虫病防治工作情况的汇报[J]. 中国寄生虫学与寄生虫病杂志, 1995, 13(S1): 22-24.
	Xu ZS. Report on the prevention and control of parasitic diseases in Anhui Province[J]. Chin J Parasitol Parasit Dis, 1995, 13(S1): 22-24. (in Chinese)
[6]	汪天平, 操治国. 安徽省重要寄生虫感染的新趋势及其影响因素[J]. 热带病与寄生虫学, 2017, 15(1): 1-6.
	Wang TP, Cao ZG. New trends and influencing factors of important parasitic infections in Anhui Province[J]. J Trop Dis Parasitol, 2017, 15(1): 1-6. (in Chinese)
[7]	许娴, 张滔, 姜静静, 等. 安徽省疟疾控制和消除历程[J]. 热带病与寄生虫学, 2020, 18(2): 65-69, 80.
	Xu X, Zhang T, Jiang JJ, et al. Course of malaria control and elimination in Anhui Province[J]. J Trop Dis Parasitol, 2020, 18(2): 65-69, 80. (in Chinese)
[8]	王强, 许静, 夏志贵, 等. 我国重点寄生虫病疫情形势及防控工作重点[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(1): 1-7. doi: 10.12140/j.issn.1000-7423.2024.01.001
	Wang Q, Xu J, Xia ZG, et al. Epidemic situation of key parasitic diseases in China and key points of prevention and control work[J]. Chin J Parasitol Parasit Dis, 2024, 42(1): 1-7. (in Chinese)
[9]	姚金付, 丁平. 2014—2018年安徽安庆市传染病网络直报系统血吸虫病病例报告情况分析[J]. 热带病与寄生虫学, 2019, 17(3): 168-171.
	Yao JF, Ding P. Analysis of schistosomiasis cases reported by the network direct reporting system of infectious diseases in Anqing City, Anhui Province from 2014 to 2018[J]. J Trop Dis Parasitol, 2019, 17(3): 168-171. (in Chinese)
[10]	中华人民共和国卫生部. 血吸虫病诊断标准: WS 261—2006[S]. 北京: 人民卫生出版社, 2006: 4-5.
	Ministry of Health of the People’s Republic of China. Diagnostic criteria for schistosomiasis: WS 261-2006[S]. Beijing: People’s Medical Publishing House, 2006: 4-5. (in Chinese)
[11]	国家卫生和计划生育委员会. 国家卫生计生委关于印发《血吸虫病消除工作规范》的通知[EB/OL]. (2018-03-05)[2024-06-24]. http://www.nhc.gov.cn/jkj/s5873/201803/ce9e1b1c398f4ead9914f3005fea0b4e.shtml.
	National Health andFamily Planning Commission. Circular of the National Health and Family Planning Commission on the issuance of the Code of Practice for the Elimination of Schistosomiasis[EB/OL]. (2018-03-05)[2024-06-24]. http://www.nhc.gov.cn/jkj/s5873/201803/ce9e1b1c398f4ead9914f3005fea0b4e.shtml. (in Chinese)
[12]	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 People’s Republic of China in 2023[J]. Chin J Schisto Control, 2024, 36(3): 221-227. (in Chinese)
[13]	苏婉婷, 陈艳艳, 王晖, 等. 湖北省2015—2022年血吸虫病风险监测结果分析[J]. 中国热带医学, 2024, 24(5): 526-531. doi: 10.13604/j.cnki.46-1064/r.2024.05.05
	Su WT, Chen YY, Wang H, et al. Analysis of risk monitoring results for schistosomiasis in Hubei Province from 2015 to 2022[J]. China Trop Med, 2024, 24(5): 526-531. (in Chinese)
[14]	夏蒙, 周杰, 程湘晖, 等. 2022年湖南省血吸虫病传播风险评估分析与应对策略[J]. 实用预防医学, 2023, 30(12): 1445-1449.
	Xia M, Zhou J, Cheng XH, et al. Risk assessment and counter measures of schistosomiasis transmission in Hunan Province in 2022[J]. Pract Prev Med, 2023, 30(12): 1445-1449. (in Chinese)
[15]	李宜锋, 李宗光, 何婷婷, 等. 2002—2021年江西省血吸虫病流行趋势和现况分析[J]. 上海预防医学, 2023, 35(7): 619-625.
	Li YF, Li ZG, He TT, et al. Analysis of epidemic trends and status of schistosomiasis in Jiangxi Province from 2002 to 2021[J]. Shanghai J Prev Med, 2023, 35(7): 619-625. (in Chinese)
[16]	钱昕, 丁平, 何结宝, 等. 安庆市2015—2021年血吸虫病监测点疫情分析[J]. 安徽预防医学杂志, 2022, 28(6): 478-481.
	Qian X, Ding P, He JB, et al. Epidemiological analysis of schistosomiasis surveillance sites in Anqing City from 2015 to 2021[J]. Anhui J Prev Med, 2022, 28(6): 478-481. (in Chinese)
[17]	许晓娟, 汪天平, 何家昶, 等. 2016—2020年安徽省血吸虫病综合防治效果评估[J]. 热带医学杂志, 2022, 22(11): 1588-1595.
	Xu XJ, Wang TP, He JC, et al. Evaluation of schistosomiasis integrated control effect in Anhui Province from 2016 to 2020[J]. J Trop Med, 2022, 22(11): 1588-1595. (in Chinese)
[18]	党辉, 李银龙, 郭婧怡, 等. 2015—2019年全国血吸虫病监测点病情监测结果分析[J]. 中国血吸虫病防治杂志, 2021, 33(2): 120-126, 176.
	Dang H, Li YL, Guo JY, et al. National surveillance of schistosomiasis morbidity in China, 2015-2019[J]. Chin J SchistoControl, 2021, 33(2): 120-126, 176. (in Chinese)
[19]	戴思敏, 徐志敏, 张利娟, 等. 2015—2017年全国传染病网络直报系统血吸虫病病例报告情况分析[J]. 中国血吸虫病防治杂志, 2019, 31(2): 121-125, 133.
	Dai SM, Xu ZM, Zhang LJ, et al. Analysis of schistosomiasis cases report in national notifiable disease report system in China, 2015-2017[J]. Chin J Schisto Control, 2019, 31(2): 121-125, 133. (in Chinese)
[20]	王帅, 王浩, 刘聪, 等. 以传染源控制为主的血吸虫病综合防治策略在血吸虫病传播控制推进阶段的实施效果[J]. 现代预防医学, 2024, 51(3): 536-541.
	Wang S, Wang H, Liu C, et al. Effect of comprehensive schistosomiasis control strategy based on infection source control in the promotion stage of schistosomiasis transmission control[J]. Mod Prev Med, 2024, 51(3): 536-541. (in Chinese)
[21]	张丽, 夏志贵. 2023年全国疟疾疫情特征分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(2): 135-139. doi: 10.12140/j.issn.1000-7423.2024.02.001
	Zhang L, Xia ZG. Epidemiological characteristics of malaria in China, 2023[J]. Chin J Parasitol Parasit Dis, 2024, 42(2): 135-139. (in Chinese)
[22]	龚艳凤, 李紫芬, 唐乖, 等. 2015—2022年江西省疟疾疫情特征分析[J]. 中国寄生虫学与寄生虫病杂志, 2023, 41(5): 586-592. doi: 10.12140/j.issn.1000-7423.2023.05.010
	Gong YF, Li ZF, Tang G, et al. Epidemiological characteristics of malaria in Jiangxi Province from 2015 to 2022[J]. Chin J Parasitol Parasit Dis, 2023, 41(5): 586-592. (in Chinese)
[23]	胡林凤, 吴瑕, 许述海, 等. 2015—2016年合肥口岸输入性疟疾疫情监测分析[J]. 中国国境卫生检疫杂志, 2017, 40(6): 425-427.
	Hu LF, Wu X, Xu SH, et al. Analysis on surveillance of imported malaria cases at Hefei port from 2015 to 2016[J]. Chin J Front Health Quar, 2017, 40(6): 425-427. (in Chinese)
[24]	刘颖, 王丹, 贺志权, 等. 新型冠状病毒感染疫情对我国输入性疟疾防控的影响[J]. 中国血吸虫病防治杂志, 2023, 35(4): 383-388.
	Liu Y, Wang D, He ZQ, et al. Influence of infection in novel coronavirus on imported malaria control in China[J]. Chin J Schisto Control, 2023, 35(4): 383-388. (in Chinese)
[25]	朱国鼎, 高琪, 曹俊. 取不易守更难: 我国巩固消除疟疾成果面临的挑战[J]. 中国血吸虫病防治杂志, 2022, 34(2): 109-111, 114.
	Zhu GD, Gao Q, Cao J. Harder maintained than achieved: Challenges of maintaining malaria-free in China[J]. Chin J Schisto Control, 2022, 34(2): 109-111, 114. (in Chinese)
[26]	余晴, 韩帅, 薛靖波, 等. 2004—2016年我国非棘球蚴病流行区网络报告病例流行病学分析[J]. 中国血吸虫病防治杂志, 2021, 33(1): 48-53.
	Yu Q, Han S, Xue JB, et al. Epidemiological profiles of echinococcosis cases reported in the National Notifiable Disease Report System in non-endemic areas of China from 2004 to 2016[J]. Chin J Schisto Control, 2021, 33(1): 48-53. (in Chinese)
[27]	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. doi: 10.12140/j.issn.1000-7423.2024.01.012
	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)

年份 Year	血吸虫病 Schistosomiasis		疟疾 Malaria		阿米巴痢疾 Amebic dysentery		内脏利什曼病 Visceral leishmaniasis		棘球蚴病 Echinococcosis		合计^a Total^a
年份 Year	病例数 No. cases	发病率 /（10万）^-1 Appearance rate /100 000^-1	病例数 No. cases	发病率 /（10万）^-1 Appearance rate /100 000^-1	病例数 No. cases	发病率 /（10万）^-1 Appearance rate /100 000^-1	病例数 No. cases	发病率 /（10万）^-1 Appearance rate /100 000^-1	病例数No. cases	发病率 /（10万）^-1 Appearance rate /100 000^-1	病例数 No.cases	发病率 /（10万）^-1 Appearance rate /100 000^-1
2013	74	0.123	194	0.324	7	0.012	1	0.002	4	0.013	280	0.468
2014	57	0.095	151	0.250	8	0.013	0	0	6	0.020	222	0.368
2015	24 272^b	39.902	131	0.215	1	0.002	0	0	1	0.003	24 405	40.121
2016	30	0.049	146	0.238	8	0.013	0	0	3	0.010	187	0.304
2017	15	0.024	99	0.160	5	0.008	2	0.003	6	0.020	127	0.205
2018	28	0.045	102	0.163	8	0.013	0	0	1	0.003	139	0.222
2019	37	0.059	102	0.161	6	0.009	0	0	6	0.019	151	0.239
2020	22	0.035	34	0.053	4	0.006	0	0	5	0.016	65	0.102
2021	1	0.002	19	0.031	2	0.003	2	0.003	0	0	24	0.039
2022	0	0	19	0.031	0	0	0	0	2	0.007	21	0.034
2023	0	0	75	0.122	1	0.002	1	0.002	1	0.003	78	0.127
合计Total	24 536	3.623	1 072	0.158	50	0.007	6	0.001	35	0.010	25 699	3.794

特征 Characteristics	血吸虫病 Schistosomiasis	疟疾 Malaria	阿米巴痢疾 Amebic dysentery	内脏利什曼病 Visceral leishmaniasis	棘球蚴病 Echinococcosis	合计^a Total^a
性别 Sex
男 Male	13 505	1 047	25	5	19	14 601
女 Female	11 031	25	25	1	16	11 098
年龄组/岁 Age group/Year
≤ 19	304	6	8	1	6	325
20~39	3 593	446	16	2	13	4 070
40~59	15 033	608	12	2	12	15 667
60~79	5 540	12	12	1	4	5 569
≥ 80	66	0	2	0	0	68
职业 Occupation
农民 Farmer	23 403	379	26	0	16	23 824
家务及待业 Housework and unemployment	117	55	8	2	6	188
散居及幼托儿童 Scattered children and children in daycare or kindergarten	5	0	8	0	5	18
商业服务 Business services	37	74	2	0	2	115
工人 Worker	80	203	2	1	1	287
民工 Migrant worker	13	191	1	0	0	205
渔（船）民 Fisherfolk	490	0	0	0	0	490
学生 Student	193	4	0	1	0	198
其他 Other	198	166	3	2	5	374

特征 Characteristics	血吸虫病 Schistosomiasis	疟疾 Malaria	阿米巴痢疾 Amebic dysentery	内脏利什曼病 Visceral leishmaniasis	棘球蚴病 Echinococcosis	小计/中位数 Total/Median	χ²/H，P值 χ²/H, P value
诊断类型 Diagnostic type
临床诊断病例数/例 No. clinical diagnostic case	24 505	0	29	2	20	24 556	24 450.818, P < 0.05
确诊病例数/例 No. confirmed cases	31	1 072	21	4	15	1 143	24 450.818, P < 0.05
诊断至报告时间间隔/h Diagnosis-to-reporting interval/h	4.61 (1.49, 6.84)	5.08 (1.10, 16.13)	5.16 (1.94, 15.70)	8.93 (4.37, 17.51)	7.20 (1.84, 21.10)	4.61 (1.48, 6.93)	26.559^a, P < 0.05
报告及时性/% Reporting timeliness/%	99.94 (24 521/24 536)	99.81 (1 070/1 072)	100 (50/50)	6/6	97.14 (34/35)	99.93 (25 681/25 699)	17.204^b, P < 0.05

2013—2023年安徽省传染病网络直报系统法定寄生虫病报告情况分析

Analysis of notifiable parasitic diseases cases reported to the National Notifiable Infectious Disease Reporting System in Anhui Province from 2013 to 2023

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 3

参考文献 27

相关文章 15

编辑推荐

Metrics

本文评价

[1]	王继谱, 张玉瑾, 吴星华, 王明星, 祝玉巧, 罗辉, 高思潮, 刘欣超, 李文超. 安徽省部分地区马属动物隐孢子虫的分子检测和遗传特征[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(6): 796-801.
[2]	甘立勤, 李媛, 刘武艺, 梁享生, 黄达娜, 高世同. 2018—2023年深圳市龙岗区输入性疟疾疫情特征[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(4): 533-536.
[3]	买买提江·吾买尔, 亚里昆·买买提依明, 史光忠, 阿衣夏木·克尤木, 赵江山. 2005—2022年新疆喀什地区内脏利什曼病流行病学及时空分布特征[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(3): 332-339.
[4]	许艳, 王龙江, 孔祥礼, 李曰进, 卜灿灿, 闫歌, 张本光, 王用斌. 2017—2022年山东省输入性疟疾流行病学特征[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(2): 140-146.
[5]	文静, 郭明权, 张蓓, 张腾飞, 潘帅, 孙丹凤, 戚伟强. 2012—2022年上海市公共卫生临床中心输入性疟疾病例流行病学分析[J]. 中国寄生虫学与寄生虫病杂志, 2024, 42(2): 147-152.
[6]	耿燕, 兰子尧, 李杨, 戴佳芮, 蔡姗, 卢丽丹, 黄雨婷, 师伟芳, 佘丹娅. 2017—2021年贵州省疟疾疫情分析[J]. 中国寄生虫学与寄生虫病杂志, 2023, 41(3): 384-388.
[7]	操治国, 汪天平, 金伟, 郭见多, 朱磊, 刘道华, 汪敏, 李启扬, 呼明闯. “十三五”期间安徽省人群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, 2023, 41(1): 44-51.
[8]	冯宁宁, 陶薇, 冯彤, 甄素娟, 李军, 刘洪斌. 2011—2019年河北省疟疾疫情分析[J]. 中国寄生虫学与寄生虫病杂志, 2021, 39(6): 786-793.
[9]	吴冬妮, 张华勋, 朱红, 万伦, 张娟, 孙凌聪, 董小蓉, 易佳, 曹慕民, 夏菁. 2016—2020年湖北省输入性疟疾病例特征分析[J]. 中国寄生虫学与寄生虫病杂志, 2021, 39(5): 585-591.
[10]	郑玉华, 白永飞, 帖萍, 闫昌福, 王婷, 王晶莹, 王三桃, 蔡剑. 2010—2019年山西省人群内脏利什曼病流行特征分析[J]. 中国寄生虫学与寄生虫病杂志, 2021, 39(3): 352-358.
[11]	夏菁, 张华勋, 刘斯, 吴冬妮, 张娟, 林文, 孙凌聪, 万伦, 曹慕民, 朱红. 2015-2018年湖北省报告疟疾疫情分析[J]. 中国寄生虫学与寄生虫病杂志, 2020, 38(4): 429-435.
[12]	高风华, 何家昶, 张世清, 汪天平, 李婷婷, 薛靖波, 李石柱. 安徽省现症血吸虫病病例分布的空间自相关分析[J]. 中国寄生虫学与寄生虫病杂志, 2019, 37(5): 556-562.
[13]	许进, 刘超, 朱海宁, 王延东, 王勤, 张本光. 2014-2018年山东省淄博市疟疾流行病学特征分析[J]. 中国寄生虫学与寄生虫病杂志, 2019, 37(4): 490-493.
[14]	王笑笑, 周水森, 黄芳, 夏志贵, 张少森. 疟疾无症状感染者流行病学特征及其影响因素研究进展[J]. 中国寄生虫学与寄生虫病杂志, 2019, 37(3): 352-359.
[15]	胡永峰, 刘立平, 李敏, 夏爽, 邱露娟. 2001-2016年武汉市新洲区疟疾流行特征分析[J]. 中国寄生虫学与寄生虫病杂志, 2018, 36(6): 601-604.