Epidemiological characteristics of brucellosis in Shaoxing City from 2005 to 2023
ZHAO Qifeng1, WANG Jiling1, MA Yan1, FANG Yirong2
1. Department of Infectious Disease Control and Prevention, Shaoxing Center for Disease Control and Prevention, Shaoxing, Zhejiang 312000, China; 2. Shaoxing Center for Disease Control and Prevention, Shaoxing, Zhejiang 312000, China
Abstract：Objective To analyze epidemiological characteristics of brucellosis in Shaoxing City, Zhejiang Province from 2005 to 2023, so as to provide the basis for developing targeted control measures. Methods Data of brucellosis cases and epidemiological investigation in Shaoxing City from 2005 to 2023 were collected from the Monitoring and Reporting Management System of the Chinese Disease Prevention and Control Information System. The epidemiological characteristics of brucellosis were descriptively analyzed, the trend in incidence of brucellosis was analyzed using average annual percent change (AAPC). Results A total of 270 cases of brucellosis were reported in Shaoxing City from 2005 to 2023, with an average annual incidence of 0.29/105. The AAPC was 0.812%, with no significant changing trend (P>0.05). The incidence of brucellosis peaked from February to March, with 80 cases (29.63%). The reported cases were mainly distributed in Shangyu District (139 cases, 51.48%) and Shengzhou City (74 cases, 27.41%). There were 188 male cases and 82 female cases, with a male-to-female ratio of 2.29∶1. The cases were primarily concentrated in the age group of 40 to <70 years, with 205 cases accounting for 75.93%. Among these, 86 cases were reported in the 50 to <60 years of age group, accounting for 41.95%. The majority of the cases were farmers, with 187 cases accounting for 69.26%. The median interval from onset to diagnosis was 22.73 (interquartile range, 39.97) days, with a delayed diagnosis rate of 62.96%. Infections through breeding, selling and transporting cattle and sheep resulted in 164 cases (60.74%), and through buying and slaughtering resulted in 36 cases (13.33%). An outbreak of brucellosis was reported in Xinchang County in 2018, with three confirmed cases. Conclusions The incidence of brucellosis in Shaoxing City had no significant change from 2005 to 2023. The peak period was from February to March. The cases were mainly distributed in Shangyu District and Shengzhou City. People aged 50 to <60 years, males, and farmers were the key groups for prevention and control.
赵棋锋, 王吉玲, 马岩, 方益荣. 2005—2023年绍兴市布鲁氏菌病流行特征分析[J]. 预防医学, 2024, 36(9): 806-808,812.
ZHAO Qifeng, WANG Jiling, MA Yan, FANG Yirong. Epidemiological characteristics of brucellosis in Shaoxing City from 2005 to 2023. Preventive Medicine, 2024, 36(9): 806-808,812.
[1] LAINE C G,JOHNSON V E,SCOTT H M,et al.Global estimate of human brucellosis incidence[J].Emerg Infect Dis,2023,29(9):1789-1797. [2] ZHANG M,CHEN X R,BU Q Q,et al.Spatiotemporal dynamics and influencing factors of human brucellosis in Mainland China from 2005-2021[J].BMC Infect Dis,2024,24(1):1-12. [3] SUN Z X,WANG Y,LI Y J,et al.Socioeconomic,meteorological factors and spatiotemporal distribution of human brucellosis in China between2004 and 2019:a study based on spatial panel model[J/OL].PLoS Negl Trop Dis,2023,17(11)[2024-08-07].https://doi.org/10.1371/journal.pntd.0011765. [4] 徐卫民,朱素娟,施旭光,等.浙江省布鲁氏菌病疫情分析与防制对策研究[J].浙江预防医学,2016,28(6):578-582. [5] 陈禹存,杨世宏,华近,等.2006—2022年辽宁省大连市人间布鲁氏菌病流行特征及诊断延迟影响因素分析[J/OL].疾病监测[2024-08-07].http://kns.cnki.net/kcms/detail/11.2928.R.20231117.1649.010.html. [6] 向泽林,顾伟玲,富小飞,等.2010—2021年嘉兴市布鲁氏菌病流行特征[J].预防医学,2023,35(1):41-43. [7] 杨丽萍,彭财伟.2012—2020年浙江省湖州市南浔区人间布鲁氏菌病疫情分析[J].疾病监测,2021,36(9):955-957. [8] 吴晨,吴昊澄,鲁琴宝,等.2010—2018年浙江省人感染布鲁氏菌病空间分布特征及影响因素研究[J].中国人兽共患病学报,2020,36(2):134-140. [9] 高华强,孙奇峰,王吉玲,等.2005—2015年浙江省绍兴市布鲁氏菌病流行病学分析[J].疾病监测,2017,32(8):638-640. [10] 刘雅娟,付宗坤,雷霁.2017—2021年菏泽市1 543例布鲁氏菌病病例的流行病学特征分析[J].中华地方病学杂志,2024,43(2):113-117. [11] 刘增再,奉佳,朱红刚,等.2018—2022年湖南省长沙市羊布鲁氏菌病流行病学调查[J].中国动物检疫,2023,40(10):6-10. [12] 陈奕瑾,石圆,于胜男,等.布鲁氏菌病传播危险因素的meta分析[J].中国病原生物学杂志,2023,18(8):892-898. [13] 白永飞,帖萍,郑玉华,等.2017—2022年山西省布鲁氏菌病流行特征及空间聚集性分析[J].疾病监测,2024,39(4):433-438. [14] 索文帅,裴书君,王笑阳,等.2005—2021年河南省人间布鲁氏菌病流行特征与时空分布分析[J].中华地方病学杂志,2023,42(7):540-547. [15] 杨富萍,于彬彬,赵溯,等.2007—2022年云南省红河哈尼族彝族自治州人间布鲁氏菌病流行病学特征分析[J].疾病监测,2024,39(1):69-73. [16] 杨旭欣,李积权,张雪飞,等.2013—2020年青海省门源回族自治县人间布鲁氏菌病疫情现状及变化趋势分析[J].中华地方病学杂志,2023,42(5):382-386. [17] 王媛,赵世刚.布鲁氏菌病及其慢性持续感染形成机制的研究进展[J].传染病信息,2023,36(1):80-85. [18] 朱素娟,徐卫民,王衡,等.杭州市职业人群布鲁氏菌病流行特征分析[J].预防医学,2019,31(2):158-161.
