|
|
|
| Spatio-temporal clustering analysis of influenza in Ningxia Hui Autonomous Region from 2014 to 2023 |
| MA Ying, ZHANG Wenxia, MA Jinyu, DONG Junqiang, WANG Xiuqin, LI Wenyu, ZHAO Lihua
|
| Ningxia Hui Autonomous Region Center for Disease Control and Prevention (Ningxia Hui Autonomous Region Academy of Preventive Medicine), Yinchuan, Ningxia 750001, China |
|
|
|
|
Abstract Objective To investigate the spatio-temporal clustering characteristics of influenza in Ningxia Hui Autonomous Region from 2014 to 2023, so as to provide the basis for strengthening influenza prevention and control. Methods Data pertaining to influenza cases reported in Ningxia Hui Autonomous Region from 2014 to 2023 were retrieved from the Infectious Disease Surveillance System of the Chinese Disease Prevention and Control Information System, including age, sex, current residence, onset date, and reporting date. The seasonal incidence of influenza was analyzed using seasonal index. The spatio-temporal clustering characteristics of influenza were identified using spatial autocorrelation analysis and spatio-temporal scan analysis. Results A total of 20 377 influenza cases were reported in Ningxia Hui Autonomous Region from 2014 to 2023, with a male-to-female ratio of 1.15∶1. The majority were children under 15 years, with 10 950 cases accounting for 53.74%. Influenza was highly prevalent in January, February, March, and December, with seasonal indices of 219.06%, 111.00%, 246.65%, and 366.24%, respectively. The average annual reported incidence was 29.55/105, among which Pengyang County, Jinfeng District, Dawukou District, Xiji County, and Litong District had higher average annual reported incidence, at 63.99/105, 55.71/105, 55.70/105, 49.49/105, and 49.04/105, respectively. Spatial autocorrelation analysis showed that in 2023, there was spatial clustering of influenza cases in Ningxia Hui Autonomous Region (Moran's I=0.333, P<0.05), with a high-high cluster in Jingyuan County, while in other years, the distribution of influenza cases was random (all P>0.05). Spatio-temporal scan analysis showed that from 2014 to 2023, there were four space-time clusters in Ningxia Hui Autonomous Region, including one type Ⅰ cluster in Hongsibao District of Wuzhong City, with the clustering period from January 20 to 26, 2014; and three type Ⅱ clusters, mainly in January, February, March and December, covering one area in Shizuishan City, five areas in Guyuan City, one area in Zhongwei City, three areas in Wuzhong City, and four areas in Yinchuan City. Conclusions From 2014 to 2023, children under 15 years were the primary population affected by influenza in Ningxia Hui Autonomous Region, with distinct spatio-temporal distribution characteristics. The peak incidence occurred during the winter and spring seasons, and the main clustering areas were in the southern regions.
|
|
Received: 26 November 2024
Revised: 06 May 2025
Published: 24 June 2025
|
|
|
|
|
|
[1] 刘云广,黄茜,张乐,等.2004—2018年中国流行性感冒发病率的时空分析及其预测模型研究[J].中华疾病控制杂志,2023,27(2):176-183,190.
LIU Y G,HUANG Q,ZHANG L,et al.Spatiotemporal analysis and predictive modeling of influenza incidence in China from 2004 to 2018[J].Chin J Dis Control Prev,2023,27(2):176-183,190.(in Chinese)
[2] 陈晨,刘国恩,曾光.中国流感疾病负担现状、问题与挑战及应对策略[J].中国公共卫生,2022,38(11):1494-1498.
CHEN C,LIU G E,ZENG G.Current status,challenges,and strategies for influenza disease burden in China[J].Chin J Public Health,2022,38(11):1494-1498.(in Chinese)
[3] 孙伟,张银豪,赵建华,等.1949—2018年宁夏回族自治区传染病流行特征分析[J].中华疾病控制杂志,2022,26(1):116-120.
SUN W,ZHANG Y H,ZHAO J H,et al.Epidemiological characteristics of infectious diseases in Ningxia Hui Autonomous Region from 1949 to 2018[J].Chin J Dis Control Prev,2022,26(1):116-120.(in Chinese)
[4] 孙伟,高洁,马莹,等.2009—2018年宁夏流行性感冒流行特征[J].中华疾病控制杂志,2020,24(6):691-695.
SUN W,GAO J,MA Y,et al.Epidemiological characteristics of influenza in Ningxia from 2009 to 2018[J].Chin J Dis Control Prev,2020,24(6):691-695.(in Chinese)
[5] 刘斌琳. 宁夏2016年—2021年流感流行病学分析及预警模型评价[D].银川:宁夏医科大学,2023.
LIU B L.Epidemiological analysis and early warning model evaluation of influenza in Ningxia from 2016 to 2021[D].Yinchuan:Ningxia Medical University,2023.(in Chinese)
[6] 刘海霞,杨筱婷,张宏,等.2016—2020年甘肃省流行性感冒时间风险特征时空分布[J].疾病监测,2022,37(1):62-66.
LIU H X,YANG X T,ZHANG H,et al.Spatiotemporal distribution of influenza risk characteristics in Gansu Province from 2016 to 2020[J].Dis Surveill,2022,37(1):62-66.(in Chinese)
[7] 宋健,跃华,冯静,等.内蒙古自治区2018—2022年流行性感冒流行特征及时空聚集性分析[J].中国热带医学,2023,23(12):1318-1322.
SONG J,YUE H,FENG J,et al.Epidemiological characteristics and spatiotemporal clustering of influenza in Inner Mongolia Autonomous Region from 2018 to 2022[J].China Trop Med,2023,23(12):1318-1322.(in Chinese)
[8] 杨亚丽,纳丽,龚瑞.宁夏流感与气象条件关系研究[J].气象科技进展,2023,13(5):45-50,55.
YANG Y L,NA L,GONG R.Study on the relationship between influenza and meteorological conditions in Ningxia[J].Adv Meteorol Sci Technol,2023,13(5):45-50,55.(in Chinese)
[9] 王栗菲,孙明希,鹿燕青,等.余杭区流行性感冒流行特征分析[J].预防医学,2024,36(7):626-629.
WANG L F,SUN M X,LU Y Q,et al.Epidemiological characteristics of influenza in Yuhang District[J].China Prev Med J,2024,36(7):626-629.(in Chinese)
[10] 陈芸,李淑娟,李伟琴,等.2018—2021年西安西城区流行性感冒流行病学分析[J].山东医药,2023,63(3):78-80.
CHEN Y,LI S J,LI W Q,et al.Epidemiological analysis of influenza in Xicheng District,Xi'an from 2018 to 2021[J].Shandong Med J,2023,63(3):78-80.(in Chinese)
[11] 王怡珺,毛宇明,沈福杰,等.上海市黄浦区流感病例的时空聚集分析[J].江苏预防医学,2020,31(3):283-285.
WANG Y J,MAO Y M,SHEN F J,et al.Spatiotemporal clustering analysis of influenza cases in Huangpu District,Shanghai[J].Jiangsu J Prev Med,2020,31(3):283-285.(in Chinese)
[12] 黄智峰,刘晓剑,李烨,等.深圳市2013—2015年流感样病例时空聚集性分析研究[J].中华疾病控制杂志,2017,21(7):655-659.
HUANG Z F,LIU X J,LI Y,et al.Spatiotemporal clustering analysis of influenza-like cases in Shenzhen from 2013 to 2015[J].Chin J Dis Control Prev,2017,21(7):655-659.(in Chinese)
[13] 傅伟杰. 江西省流感流行特征及时空聚集性研究[D].南昌:南昌大学,2021.
FU W J.Study on the epidemiological characteristics and spatiotemporal clustering of influenza in Jiangxi Province[D].Nanchang:Nanchang University,2021.(in Chinese)
[14] 潘璠,金正格,王瑶,等.2005—2019年六安市疫苗针对传染病突发公共卫生事件流行特征分析[J].预防医学,2021,33(7):715-717.
PAN F,JIN Z G,WANG Y,et al.Epidemiological characteristics of vaccine-preventable infectious disease emergencies in Lu'an City from 2005 to 2019[J].China Prev Med J,2021,33(7):715-717.(in Chinese)
[15] 李依窈,李小菊,申小颖,等.老年人接种流行性感冒疫苗的影响因素分析[J].预防医学,2025,37(1):31-35.
LI Y Y,LI X J,SHEN X Y,et al.Influencing factors of influenza vaccination among the elderly[J].China Prev Med J,2025,37(1):31-35.(in Chinese)
[16] 吕晓丽,朱一,竹军伟.纳入气象因素的ARIMAX模型预测流行性感冒流行趋势[J].预防医学,2021,33(8):780-783.
LYU X L,ZHU Y,ZHU J W.Predicting influenza epidemic trends using ARIMAX model incorporating meteorological factors[J].China Prev Med J,2021,33(8):780-783.(in Chinese) |
| [1] |
DING Zheyuan, YANG Yan, FU Tianying, LU Qinbao, WANG Xinyi, WU Haocheng, LIU Kui, LIN Junfen, WU Chen. Analysis of notifiable infectious diseases in Zhejiang Province in 2024[J]. Preventive Medicine, 2025, 37(5): 433-438,442. |
|
|
|
|
