Epidemiological and spatial-temporal clustering characteristics of pertussis in Hebei Province from 2013 to 2022
10.3760/cma.j.cn112338-20230811-00064
- VernacularTitle:河北省2013-2022年百日咳流行特征及时空聚集性
- Author:
Fei ZHENG
1
;
Yinqi SUN
;
Haixia ZHANG
;
Hongbin ZHANG
;
Baohua HE
;
Zhaoyi JIA
;
Qi LI
Author Information
1. 华北理工大学公共卫生学院，唐山 063210
- Keywords:
Pertussis;
Epidemiological characteristic;
Spatial-temporal clustering
- From:
Chinese Journal of Epidemiology
2024;45(2):213-219
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the spatial-temporal epidemiological characteristics of pertussis from 2013 to 2022 in Hebei Province and to provide a reference for improving prevention and control measures.Methods:Based on the data of pertussis reported in Hebei Province during 2013-2022 to analyze the popular characteristic, the ArcGIS 10.8 software was used to construct a ring map and to perform spatial autocorrelation analysis; the SaTScan 10.1 software was used for spatial-temporal scan statistics.Results:There were 6 715 cases of the cumulative report in Hebei Province from 2013 to 2022 without death. The annual report incidence was 0.90/100 000. The overall incidence rate showed an upward trend from 2013 to 2019, and during 2020-2021, it showed a sharp decline, but in 2022, it showed a sharp increase. Summer and autumn are the peak seasons of the epidemic. The incidence was highest in age group <1 year (48.67%), and the lowest age group in age group ≥15 years (0.45%) and mainly scattered children (78.03%); the incidence about men is higher than women. Spatial autocorrelation analysis showed that the onset of pertussis has spatial clustering, and high-high clusters were found in Langfang, Baoding, and Cangzhou, the top three countries with reported incidence. The area covered by a low-low cluster was consistent with the distribution of the corresponding low-incidence areas in this study. Space-time scan detects five statistically significant areas, and three zones were concentrated in 2022.Conclusions:The incidence of pertussis in Hebei had obvious season, population, and area-specific differences. There was obvious spatiotemporal and clustering, so the control of key areas should target the characteristics of time and space.
