Temporal distribution characteristics of other infectious diarrhea in Shenzhen, 2011-2023
10.3760/cma.j.cn112338-20250103-00005
- VernacularTitle:2011-2023年深圳市其他感染性腹泻时间分布特征
- Author:
Lixia SONG
1
;
Wenhai LU
;
Zhen ZHANG
;
Yanpeng CHENG
;
Huawei XIONG
;
Yan LU
;
Qiuying LYU
;
Zhigao CHEN
Author Information
1. 深圳市疾病预防控制中心传染病防制科，深圳 518055
- Publication Type:Journal Article
- Keywords:
Other infectious diarrhea;
Seasonal index;
Concentration degree;
Circular distribution
- From:
Chinese Journal of Epidemiology
2025;46(9):1610-1616
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the temporal distribution of other infectious diarrhea (OID) in Shenzhen and provide evidence for the prevention and control of OID.Methods:The incidence data of OID in Shenzhen from 2011 to 2023 were collected. The seasonal and trend decomposition using loess (STL), seasonal index method, concentration degree and circular distribution method were used to analyze the incidence trend and temporal distribution of OID.Results:A total of 477 611 cases of OID were reported in Shenzhen from 2011 to 2023, with an average annual incidence rate of 260.19/100 000 showing a fluctuating upward trend. The seasonal index method indicated that October-January was period with high incidence of OID in Shenzhen and the seasonal intensity began to decrease in 2020. STL revealed an obvious incidence peak in winter. The concentration method showed that OID had a certain seasonality before 2018 except 2016, but the seasonality was not obvious after 2018. The circular distribution results showed that r was 0.05, mean angle ā was 1.92° and angular standard deviation s was 141.93° ( Z=1 033.37, P<0.001), with the peak on January 1 st and the high incidence period from August 11 th to May 25 th. Conclusions:OID had a certain degree of seasonality in Shenzhen, with an obvious incidence peak in winter. Since the seasonal intensity of OID decreased after 2018, the surveillance, early warning and risk assessment of OID should be continued, and prevention and control measures should be adjusted timely according to the change in the characteristics of the epidemic.
