Epidemiological characteristics and spatial-temporal clustering of scarlet fever in Wenzhou City from 2015 to 2024
10.19485/j.cnki.issn2096-5087.2025.12.012
- Author:
LI Ling
;
WANG Lili
;
ZHANG Xinyue
;
PAN Qiongjiao
;
LI Wancang
- Publication Type:Journal Article
- Keywords:
scarlet fever;
epidemiological characteristics;
spatial-temporal clustering
- From:
Journal of Preventive Medicine
2025;37(12):1247-1251
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the epidemiological characteristics and spatial-temporal clustering of scarlet fever in Wenzhou City, Zhejiang Province from 2015 to 2024, so as to provide a basis for prevention and control for scarlet fever.
Methods:The data of scarlet fever cases in Wenzhou City from 2015 to 2024 were collected from the Surveillance System of China Information System for Disease Control and Prevention. Descriptive epidemiological methods were used to analyze the temporal, demographic, and regional distribution characteristics of scarlet fever. Spatial autocorrelation and spatio-temporal scanning analyses were employed to examine the spatial-temporal clustering of scarlet fever.
Results:A total of 1 731 cases of scarlet fever were reported in Wenzhou City from 2015 to 2024, with an average annual reported incidence of 2.08/100 000 , showing a declining trend (AAPC=-11.037%, P<0.05). Incidence peaks occurred from April to June and from November to January of the following year, with seasonal indices all exceeding 100%. The average annual reported incidence was higher in males than in females (2.43/100 000 vs. 1.70/100 000, P<0.05). The cases were mainly children aged ≤10 years, with 1 662 cases accounting for 96.01%. Lucheng District, Ouhai District and Taishun County had the top three average annual reported incidences of scarlet fever, at 7.17/100 000, 5.18/100 000 and 4.73/100 000, respectively. Spatial autocorrelation analysis showed that, spatial clustering of scarlet fever cases in the periods 2015 to 2019 and 2021 to 2024 (Moran's I>0, all P<0.05). Spatio-temporal scanning analysis identified a primary-type clustering and a secondary-type clustering of scarlet fever in Wenzhou City from 2015 to 2024. The primary-type clustering was centered on Wutian Subdistrict in Ouhai District, covering 19 townships / subdistricts, with a clustering period from January 2015 to December 2019. The secondary-type clustering was centered on Xiaocun Town in Taishun County, covering 42 townships / subdistricts, with a clustering period from April 2018 to June 2019.
Conclusions:The incidence of scarlet fever in Wenzhou City from 2015 to 2024 showed an overall declining trend, with a high incidence among school-aged children and distinct spatial-temporal clustering. Peaks in cases occurred from April to June and from November to January of the following year. Focused prevention and control efforts are recommended in Lucheng District, Ouhai District, and Taishun County.
- Full text:20260104141418949202015——2024年温州市猩红热流行特征和时空聚集性分析.pdf
