|
|
Epidemiological characteristics of pertussis in Jiaxing City from 2004 to 2023 |
LI Rui, QI Yunpeng, WANG Yuanhang, ZHA Yiwei, FU Xiaofei
|
Jiaxing Center for Disease Control and Prevention, Jiaxing, Zhejiang 314050, China |
|
|
Abstract Objective To investigate the epidemiological characteristics of pertussis in Jiaxing City from 2004 to 2023 and spatio-temporal clustering characteristics from 2022 to 2023, so as to provide insights into formulation of pertussis control measures. Methods Data of pertussis cases in Jiaxing City from 2004 to 2023 were collected through the Infectious Disease Report Information System of Chinese Disease Prevention and Control Information System. The epidemiological characteristics of pertussis cases in Jiaxing City from 2004 to 2023 were descriptively analyzed, and the spatio-temporal clustering characteristics from 2022 to 2023 were analyzed using spatio-temporal scanning. Results A total of 478 pertussis cases were reported in Jiaxing City from 2004 to 2023, with an average annual reported incidence of 0.53/105. The reported incidence showed an upward trend from 2004 to 2023 (P<0.05), with the highest in 2022 (3.17/105). Higher incidence of pertussis was reported in June to August (149 cases, 31.17%) and November to December (112 cases, 23.43%). There was no statistically significant difference in the reported incidence between males and females (0.56/105 vs. 0.50/105, P>0.05). The cases aged under one year accounted for the highest proportion, with 199 cases (41.63%). Haining City (0.68/105), Jiashan County (0.64/105) and Tongxiang City (0.60/105) ranked the top three in the reported incidence of pertussis. Spatio-temporal scanning analysis showed that from 2022 to 2023, the primary clustering area of pertussis was centered in Daqiao Town of Nanhu District, covering 27 towns (streets) in Nanhu District, Jiashan County, Xiuzhou District and Pinghu City, and the clustering time was from November to December, 2023. Conclusions The reported incidence of pertussis was at a low level in Jiaxing City, but showed an upward trend from 2004 to 2023. The incidence of pertussis was higher among infants under one year of age, peaked in June to August and November to December, and was concentrated in Nanhu District and its surrounding areas.
|
Received: 30 July 2024
Revised: 05 December 2024
Published: 13 February 2025
|
|
|
|
|
[1] GUO S,ZHU Y,GUO Q,et al.Severe pertussis in infants:a scoping review[J/OL].Ann Med,2024,56(1)[2024-12-05].https://doi.org/10.1080/07853890.2024.2352606. [2] ALGHOUNAIM M,ALSAFFAR Z,ALFRAIJ A,et al.Whole-cell and acellular pertussis vaccine:reflections on efficacy[J].Med Princ Pract,2022,31(4):313-321. [3] 王增国,马超锋,闫永平.全球百日咳重现及中国百日咳相关研究现状[J].中国疫苗和免疫,2016,22(3):345-349. WANG Z G,MA C F,YAN Y P.Global pertussis resurgence and the status of related pertussis researches in China[J].Chin J Vaccines Immunization,2016,22(3):345-349.(in Chinese) [4] 刘铁诚,何寒青,周洋,等.2005—2017年浙江省百日咳流行病学分析[J].中国疫苗和免疫,2019,25(1):54-58. LIU T C,HE H Q, ZHOU Y,et al.Epidemiology of pertussis in Zhejiang province,2005-2017[J].Chin J Vaccines Immunization,2019,25(1):54-58.(in Chinese) [5] 蔡路奎,李婧妍,姬秋彦,等.2004—2019年我国百日咳报告病例流行病学特征分析[J].预防医学情报杂志,2021,37(8):1036-1043. CAI L K,LI J Y,JI Q Y,et al.Epidemiological characteristics of reported cases of pertussis in China from 2004 to 2019[J].J Prev Med Inf,2021,37(8):1036-1043.(in Chinese) [6] 唐学雯,周洋,汪颖,等.浙江省百日咳报告病例流行特征分析[J].预防医学,2020,32(7):712-714. TANG X W,ZHOU Y,WANG Y,et al.Epidemiological characteristics of pertussis in Zhejiang Province[J].China Prev Med J,2020,32(7):712-714.(in Chinese) [7] 席华星,王晓芳,光明,等.2014—2022年山西省百日咳流行病学特征[J].首都公共卫生,2024,18(1):36-40. XI H X,WANG X F,GUANG M,et al.Epidemiological characteristics of pertussis in Shanxi Province,2014-2022[J].Cap J Public Health,2024,18(1):36-40.(in Chinese) [8] ESPOSITO S,STEFANELLI P,FRY N K,et al.Pertussis prevention:reasons for resurgence,and differences in the current acellular pertussis vaccines[J/OL].Front Immunol,2019,10[2024-12-05].https://doi.org/10.3389/fimmu.2019.01344. [9] 刘艳,沈建勇,张超,等.2012—2022年湖州市百日咳流行特征分析[J].预防医学,2023,35(9):811-813,819. LIU Y,SHEN J Y,ZHANG C,et al.Epidemiological characteristics of pertussis in Huzhou City from 2012 to 2022[J].China Prev Med J,2023,35(9):811-813,819.(in Chinese) [10] 王帆,章海斌,胡莉莉,等.2018—2019年浙江省宁海县百日咳回顾性调查分析[J].上海预防医学,2023,35(8):764-767. WANG F,ZHANG H B,HU L L,et al.Retrospective investigation and analysis of pertussis in Ninghai County,Zhejiang Province from 2018 to 2019[J].Shanghai J Prev Med,2023,35(8):764-767.(in Chinese) [11] 中华预防医学会,中华预防医学会疫苗与免疫分会.中国百日咳行动计划专家共识[J].中华流行病学杂志,2021,42(6):955-965. Chinese Preventive Medicine Association,Chinese Preventive Medicine Association of Vaccines and Immunization.Expert consensus on the China Pertussis Initiative[J].Chin J Epidemiol,2021,42(6):955-965.(in Chinese) [12] 宁桂军,高源,吴丹,等.中国2011—2017年百日咳流行病学特征分析[J].中国疫苗和免疫,2018,24(3):264-267,273. NING G J,GAO Y,WU D,et al.Epidemiology of pertussis in China,2011-2017[J].Chin J Vaccines Immunization,2018,24(3):264-267,273.(in Chinese) [13] 陈劲华,楼灵巧,陶静波,等.义乌市百日咳病例流行病学特征分析[J].预防医学,2023,35(11):981-984. CHEN J H,LOU L Q,TAO J B,et al.Epidemiological characteristics of pertussis in Yiwu City[J].China Prev Med J,2023,35(11):981-984.(in Chinese) [14] 郑飞,孙印旗,张海霞,等.河北省2013—2022年百日咳流行特征及时空聚集性[J].中华流行病学杂志,2024,45(2):213-219. ZHENG F,SUN Y Q,ZHANG H X,et al.Epidemiological and spatial-temporal clustering characteristics of pertussis in Hebei Province from 2013 to 2022[J].Chin J Epidemiol,2024,45(2):213-219.(in Chinese) [15] 贾海梅,陈杨伟,王清华,等.2018—2022年福建省福州市百日咳流行病学特征及防控策略探讨[J].疾病监测,2024,39(5):571-575. JIA H M,CHEN Y W,WNAG Q H,et al.Epidemiological characteristics and prevention and control strategies of pertussis in Fuzhou,Fujian Province 2018-2020[J].Dis Surveill,2024,39(5):571-575.(in Chinese) [16] 田红霞,任重,刘兰,等.2005—2019年株洲市百日咳流行特征分析[J].预防医学,2021,33(4):395-397,403. TIAN H X,REN Z,LIU L,et al.Epidemiological characteristics of pertussis in Zhuzhou City from 2014 to 2022[J].China Prev Med J,2021,33(4):395-397,403.(in Chinese) [17] 李涛,候立娟,李清茹,等.2016—2021年安徽省百日咳空间自相关及时空聚集性[J].中华疾病控制杂志,2023,27(11):1247-1253. LI T,HOU L J,LI Q R,et al.Spatial autocorrelation and spatial-temporal clustering analysis of pertussis in Anhui Province from 2016 to 2021[J].Chin J Dis Control Prev,2023,27(11):1247-1253.(in Chinese) |
|
|
|