Epidemic characteristics and spatial autocorrelation of other infectious diarrhea in Liaoning Province from 2015 to 2024

doi:10.20199/j.issn.1672-2302.2026.01.004

Abstract

Abstract:

Objective To analyze the epidemiological characteristics and spatial aggregation of other infectious diarrhea in Liaoning Province from 2015 to 2024 for a reference in prevention and control of this disease. Methods The data on the incidence of other infectious diarrhea in Liaoning Province from 2015 to 2024 were obtained through the Infectious Disease Surveillance System under the Chinese Disease Prevention and Control Information System. Joinpoint regression model was used to analyze the temporal trends of incidence rate, and spatial autocorrelation analysis and SaTScan spatio-temporal scan statistic were used to examine the spatial aggregation. Results A total of 156 255 cases of other infectious diarrhea were reported in Liaoning Province from 2015 to 2024, with an average annual incidence rate of 36.24/100 000. The yearly incidence rate fluctuated between 16.55/100 000 and 51.93/100 000 from 2015 to 2024. Joinpoint regression analysis indicated no clear trend for the incidence rate between 2015 and 2018 (APC=5.49%, 95%CI：-4.34% to 24.54%, P>0.05). The reported incidence rate presented a downward trend during 2018 and 2022 (APC=-23.95%, 95%CI：-36.31% to -17.79%, P<0.05), yet an upward trend from 2022 to 2024 (APC=53.27%, 95%CI：19.18% to 90.59%, P<0.05). By population distribution, 81 479 cases were males, and 74 776 females. The 0-4 age group had the highest incidence rate (322.65/100 000), and the children living at home were most reported (n=40 425; 25.87%). In terms of regional distribution, the top three cities were Benxi (144.24/100 000), Panjin (78.80/100 000), and Fuxin (69.61/100 000) by average annual reported incidence. Spatial autocorrelation analysis showed that the annual Moran’s I index ranged from 0.229 to 0.413 between 2015 and 2024, with a positive spatial correlation observed in each year (all P<0.05). The clustering patterns were dominated by “high-high” and “low-low” clusters. The “high-high” clusters were mainly concentrated in some counties and districts of cities such as Benxi, Shenyang and Fushun. Spatio-temporal scan detected 1 type Ⅰ cluster and 12 type Ⅱ clusters, and the type Ⅰ cluster was seen during 2015 and 2019, highly consistent with the “high-high” clusters in coverage area. Conclusion Other infectious diarrhea in Liaoning Province from 2015 to 2024 presented spatiotemporal clustering. The high-risk populations were children aged 4 years and below and farmers. Our findings suggest that following prevention and control efforts should be targeted at the key regions and populations, as well as strengthening surveillance and early warning.

Key words: Other infectious diarrhea, Epidemiological characteristics, Spatial autocorrelation, Liaoning Province

CLC Number:

R183.9

WANG Zhouchao, JIN Meiling, SONG Ge, SUN Sinong, MAO Lingling, SUN Yingwei. Epidemic characteristics and spatial autocorrelation of other infectious diarrhea in Liaoning Province from 2015 to 2024[J]. Journal of Tropical Diseases and Parasitology, 2026, 24(1): 19-24.

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年份	报告病例数（例）	报告发病率（/10万）
2015	17 929	40.83
2016	20 908	47.71
2017	22 734	51.93
2018	20 728	47.44
2019	17 874	41.00
2020	10 519	24.17
2021	11 106	26.08
2022	6 997	16.55
2023	10 459	24.92
2024	17 001	40.51
合计	156 255	36.24

人群特征	报告病例数（例）	构成比（%）	报告发病率（/10万）	人群特征	报告病例数（例）	构成比（%）	报告发病率（/10万）
性别				75~79	4 056	2.60	34.86
男	81 479	52.15	37.75	80~84	3 086	1.97	41.25
女	74 776	47.86	34.76	≥85	2 607	1.67	56.93
年龄（岁）				职业
0~4	42 226	27.02	322.65	散居儿童	40 425	25.87
5~9	5 999	3.84	35.44	农民	29 991	19.19
10~14	3 240	2.07	20.88	家务及待业	27 593	17.66
15~19	6 649	4.26	37.68	离退人员	15 625	10.00
20~24	7 353	4.71	28.34	学生	12 482	7.99
25~29	9 345	5.98	36.44	工人	6 371	4.08
30~34	9 123	5.84	29.10	干部职员	6 233	3.99
35~39	7 515	4.81	23.79	幼托儿童	5 055	3.24
40~44	6 494	4.16	19.84	商业服务	2 021	1.29
45~49	7 447	4.77	18.48	医务人员	1 397	0.89
50~54	9 264	5.93	22.45	教师	1 134	0.73
55~59	9 200	5.89	22.14	民工	546	0.35
60~64	9 512	6.09	31.51	餐饮食品业	491	0.31
65~69	7 770	4.97	30.41	其他及不详	6 891	4.41
70~74	5 369	3.44	29.86

地区	报告病例数（例）	报告发病率（/10万）
沈阳市	45 485	52.79
大连市	18 174	25.69
鞍山市	7 465	18.44
抚顺市	9 350	45.51
本溪市	22 196	144.24
丹东市	4 087	17.80
锦州市	2 923	7.81
营口市	1 417	3.56
阜新市	11 810	69.61
辽阳市	1 782	8.97
盘锦市	11 258	78.80
铁岭市	7 788	30.81
朝阳市	9 109	34.18
葫芦岛市	3 411	15.38

年份	Moran’s I值	Z值	P值
2015	0.413	7.030	<0.05
2016	0.354	6.086	<0.05
2017	0.375	6.316	<0.05
2018	0.444	7.453	<0.05
2019	0.398	6.702	<0.05
2020	0.376	6.201	<0.05
2021	0.395	6.740	<0.05
2022	0.307	5.033	<0.05
2023	0.307	5.605	<0.05
2024	0.229	4.512	<0.05

年份	本溪市	盘锦市	抚顺市	沈阳市	阜新市	丹东市
2015	本溪满族自治县、南芬区、明山区、溪湖区、平山区	双台子区
2016	本溪满族自治县、南芬区、明山区、溪湖区、平山区	双台子区
2017	本溪满族自治县、南芬区、明山区、溪湖区、平山区	双台子区	新宾满族自治县	皇姑区
2018	本溪满族自治县、南芬区、明山区、溪湖区、平山区、桓仁满族自治县	双台子区	新宾满族自治县	皇姑区、浑南区、苏家屯区、大东区、沈河区、和平区
2019	本溪满族自治县、南芬区、明山区、溪湖区、桓仁满族自治县		新宾满族自治县	大东区、沈河区、和平区
2020	本溪满族自治县、明山区		新宾满族自治县	大东区、沈河区、浑南区	阜新蒙古族自治县、细河区、太平区、新邱区、海州区
2021	本溪满族自治县、南芬区、明山区、溪湖区、桓仁满族自治县		新宾满族自治县		细河区	宽甸满族自治县
2022	本溪满族自治县、南芬区、明山区、溪湖区、桓仁满族自治县		新宾满族自治县			宽甸满族自治县
2023	本溪满族自治县、南芬区、明山区、溪湖区、桓仁满族自治县		新宾满族自治县	和平区、浑南区		宽甸满族自治县
2024	溪湖区、桓仁满族自治县		新宾满族自治县、望花区	和平区、浑南区、于洪区、铁西区		宽甸满族自治县