Endemic status of amoebic dysentery in China from 2020 to 2021

doi:10.12140/j.issn.1000-7423.2025.04.014

Abstract

Abstract:

Objective To investigate the incidence, epidemiological characteristics and changing trends of amoebic dysentery in China, so as to provide insights into formulation of tailored control strategies and surveillance measures and optimization of resource allocation in the futur. Methods Individual data and demographic data of cases of amoebic dysentery with dates of disease onset between January 1, 2020 and December 31, 2021 were collected from the Infectious Disease Report Information Management System, and the incidence and its changing trends of amoebic dysentery were analyzed using a descriptive epidemiological method in China from 2020 to 2021. In addition, the spatial distribution characteristics and tempo-spatial clusters of amoebic dysentery were identified using the ArcGIS and SaTScan software. Results A total of 670 and 539 cases of amoebic dysentery were reported in China in 2020 and 2021, with incidence of 0.048/100 000 and 0.038/100 000, respectively. The reported incident cases and incidence of amoebic dysentery in 2021 decreased by 19.55% and 20.83% as compared with those in 2020, respectively. The number of reported incident cases peaked in May 2020 (85 cases) and June 2021 (73 cases), and the period from May to July was the common epidemic season for both years. The ratios of male to female reported incident cases were 1.27 ∶ 1 and 1.28 ∶ 1 in 2020 and 2021, respectively. Both the reported incident cases and incidence of amoebic dysentery appeared a tendency towards a decline followed by a rise, and then a decline with ages, and the highest numbers of reported incident cases and incidence of amoebic dysentery were all found at ages of 0 to 5 years, with 326 incident cases and 0.40/100 000 incidence in 2020 and 197 incident cases and 0.25/100 000 incidence in 2021. The reported incident cases were predominantly found among diaspora children in 2020 and 2021, accounting for 45.82% (307/670) and 33.77% (182/539) of totally reported cases, followed by farmers, accounting for 22.09% (148/670) and 26.53% (143/539), respectively. The provinces (autonomous regions) with the three highest incidence were Guangxi (0.32/100 000), Henan (0.16/100 000) and Guangdong (0.12/100 000) in 2020, and Guangxi (0.22/100 000), Yunnan (0.19/100 000) and Guangdong (0.09/100 000) in 2021, respectively. Both Guangxi and Guangdong were among the top three provinces (autonomous regions) in both years in terms of both reported incidence and incident cases of amoebic dysentery, which both appeared a tendency towards a decline from 2020 to 2021. Global spatial autocorrelation analysis revealed no significant spatial clustering of amoebic dysentery at either a provincial or county level. Space-time scan analysis detected two statistically significant clusters in 2021, and the cluster areas were found in Yunnan and Guizhou, which involved 17 counties (cities, districts) in southwestern China. Conclusion The incident cases and incidence of amebiasis appeared a tendency towards a decline in China from 2020 to 2021, with two cluster areas in southwestern China.

Key words: Amebic dysentery, Incident case, Incidence, Cluster area

CLC Number:

R531.11

HUANG Jilei, ZHOU Changhai, ZHU Tingjun, ZHU Huihui, LI Shizhu, QIAN Menbao. Endemic status of amoebic dysentery in China from 2020 to 2021[J]. CHINESE JOURNAL OF PARASITOLOGY AND PARASITIC DISEASES, 2025, 43(4): 540-546.

Figures/Tables 7

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年份 Year	报告发病数/例 No. reported incident cases			报告发病率/（10万）^-1 Reported incidence/100 000^-1
年份 Year	临床诊断病例数 No. clinical diagnosis cases	确诊病例数 No. confirmed cases	合计 Total	报告发病率/（10万）^-1 Reported incidence/100 000^-1
2020	192	478	670	0.048
2021	133	406	539	0.038
合计 Total	325	884	1 209	0.043

职业 Occupation	2020		2021
职业 Occupation	报告发病数/例 No. reported incident cases	占比/% Proportion/%	报告发病数/例 No. reported incident cases	占比/% Proportion/%
幼托儿童 Child in care	43	6.42	37	6.86
散居儿童 Diaspora children	307	45.82	182	33.77
学生 Student	38	5.67	32	5.94
教师 Teacher	3	0.45	1	0.19
保育员及保姆 Nursemaid	0	0	1	0.19
餐饮食品业 Catering and food industry	2	0.30	0	0
商业服务 Businessman	8	1.19	19	3.53
医务人员 Medical personnel	3	0.45	4	0.74
工人 Factory worker	11	1.64	13	2.41
民工 Migrant worker	2	0.30	2	0.37
农民 Farmer	148	22.09	143	26.53
牧民 Herdsmen	0	0	1	0.19
干部职员 Cadre	6	0.90	12	2.23
离退人员 Retired people	20	2.99	24	4.45
家务及待业 Unemployed	68	10.15	49	9.09
不详 Unknown	6	0.90	12	2.23
其它 Others	5	0.75	7	1.30
合计 Total	670	100	539	100

省（直辖市、自治区） Province (municipality/ autonomous region)	2020		2021
省（直辖市、自治区） Province (municipality/ autonomous region)	报告发病数/例 No. reported incident cases	报告发病率/（10万）^-1 Reported incidence/100 000^-1	报告发病数/例 No. reported incident cases	报告发病率/（10万）^-1 Reported incidence/100 000^-1
北京 Beijing	8	0.04	4	0.02
天津 Tianjing	1	0.01	4	0.03
河北 Hebei	9	0.01	5	0.01
山西 Shanxi	10	0.03	8	0.02
内蒙古 Inner Mongolia	0	0	3	0.01
辽宁 Liaoning	4	0.01	3	0.01
吉林 Jilin	0	0	1	0.00
黑龙江 Heilongjiang	19	0.05	7	0.02
上海 Shanghai	1	0.00	0	0
江苏 Jiangsu	2	0.00	1	0.00
浙江 Zhejiang	1	0.00	3	0.00
安徽 Anhui	4	0.01	2	0.00
福建 Fujian	14	0.04	9	0.02
江西 Jiangxi	47	0.10	18	0.04
山东 Shandong	3	0.00	4	0.00
河南 Henan	150	0.16	74	0.07
湖北 Hubei	2	0.00	3	0.01
湖南 Hunan	5	0.01	11	0.02
广东 Guangdong	141	0.12	119	0.09
广西 Guangxi	160	0.32	112	0.22
海南 Hainan	0	0	1	0.01
重庆 Chongqing	4	0.01	4	0.01
四川 Sichuan	32	0.04	23	0.03
贵州 Guizhou	12	0.03	20	0.05
云南 Yunnan	36	0.07	91	0.19
西藏 Xizang	0	0	0	0
陕西 Shaanxi	4	0.01	3	0.01
甘肃 Gansu	1	0.00	1	0.00
青海 Qinghai	0	0	1	0.02
宁夏 Ningxia	0	0	1	0.01
新疆 Xinjiang	0	0	3	0.01
合计 Total	670	0.05	539	0.04

年份 Year	Moran’s I	Moran’s I期望值 Expected Moran’s I value	方差 Variance	Z值 Z value	P值 P value
2020
省级 Provincial level	0.049 469	-0.033 33	0.005 654	1.101 177	0.270 819
县级 County level	-0.000 160	-0.005 29	0.000 034	0.877 425	0.380 256
2021
省级 Provincial level	0.164 251	-0.033 33	0.006 776	2.400 318	0.016 381
县级 County level	0.008 641	-0.005 10	0.000 094	1.419 926	0.155 629

聚集区 Cluster area	年份 Year	聚集中心 Cluster area		聚集半径/km Radius/km	聚集县数 No. clustered counties	观察数 No. observed	预期数 No. expected	P值 P value	检验统计量 Test-state
聚集区 Cluster area	年份 Year	纬度/° Latitude/°	经度/° Longitude/°	聚集半径/km Radius/km	聚集县数 No. clustered counties	观察数 No. observed	预期数 No. expected	P值 P value	检验统计量 Test-state
1	2021	25.514 2	101.203 0	148.13	8	11	4.91	0.02	2.803 084
2	2021	26.805 8	105.275 0	122.54	9	11	4.91	0.02	2.803 084
3	2020	23.910 2	112.824 0	100.22	6	11	6.09	0.55	1.600 856
4	2019	23.507 2	110.769 0	125.74	8	8	4.01	0.68	1.537 679
5	2021	39.548 6	78.833 4	2 419.82	8	8	4.01	0.68	1.537 679
6	2021	23.334 3	103.485 0	107.88	7	7	3.57	0.94	1.290 089
7	2021	30.686 7	107.268 0	196.60	8	7	3.57	0.94	1.290 089
8	2021	28.861 8	112.031 0	68.17	2	5	2.23	0.98	1.270 244