Comparative analysis of epidemiological and Spatiotemporal patterns in seasonal influenza and COVID-19 outbreaks

被引:0
|
作者
Yang, Jingjing [1 ,2 ]
Chen, Qingquan [1 ,2 ]
Zheng, Xiaoyan [1 ,2 ]
Sun, Ao [1 ,2 ]
Sun, Mengcai [1 ,2 ]
Zhou, Quan [1 ,2 ]
Xu, Youqiong [1 ,2 ]
Zhang, Xiaoyang [1 ,2 ]
机构
[1] Fujian Med Univ, Affiliated Fuzhou Ctr Dis Control & Prevent, Fuzhou 350005, Peoples R China
[2] Fujian Med Univ, Sch Publ Hlth, Fuzhou 350108, Peoples R China
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词
Influenza; Epidemiological characterization; Trend-surface analysis; Kernel density Estimation; Space-time scanning; Seasonal influenza; COVID-19; pandemic; CHINA;
D O I
10.1038/s41598-025-93372-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The aim of this study was to gain insights into the epidemiology, spatial trends, spatial structure evolution, and spatiotemporal aggregation characteristics of influenza epidemics during seasonal influenza and COVID-19 pandemic in Fuzhou from 2013 to 2022. Utilizing influenza case report data from Fuzhou spanning 2013 to 2022, we applied descriptive epidemiological methods to analyze the epidemiological characteristics and distribution patterns of reported influenza cases across various time periods, populations, and regions. Furthermore, we employed trend-surface analysis, kernel density estimation, and space-time scanning statistics to investigate the evolution of spatial trends, changes in spatial structure, and the spatiotemporal aggregation characteristics of the reported influenza incidence rate at the county level. A total of 19,135 influenza cases were reported in Fuzhou during the period of 2013-2022. The male-to-female ratio of cases was 1.31:1. The age group most affected by influenza was 0-19 years, accounting for 13,600 cases (71.07%), and the occupations mostly affected were children in the diaspora (6,570 cases, 34.33%), students (4,402 cases, 23.00%), and preschool children (2,595 cases, 13.56%). Areas with a high number of reported influenza cases were mainly located in the central part of Fuzhou City. On the overall trend of Fuzhou, the reported incidence rate of influenza exhibits a spatial trend characterized by a "high in the middle" pattern. Its spatial structure has evolved from a "triple nucleus - double nucleus" configuration and demonstrates the contraction trend of "clustering in the central urban area". Simultaneously, the spatial structure has transitioned from a "triple nucleus" to a "double nucleus" pattern, reflecting a trend of contraction towards "central city clustering." The results of space-time scanning identified Class I clusters of influenza cases in the Gulou and Jinan districts (RR = 47.99, LLR = 6917.94, P < 0.01), predominantly occurring during June and July 2022. The average annual reported incidence of influenza in Fuzhou was notably higher during the COVID-19 pandemic than the levels recorded during seasonal influenza outbreaks. Additionally, the concentration of influenza cases in central Fuzhou reflects a significant degree of spatiotemporal clustering of the epidemic.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Influence of COVID-19 over seasonal influenza activity in southern India
    Sharmila, Ferdinamarie
    Muthamizhkumaran, S.
    Ratchagadasse, Vimal Raj
    Ramamurthy, Narayan
    Sistla, Sujatha
    Dhodapkar, Rahul
    INDIAN JOURNAL OF MEDICAL MICROBIOLOGY, 2024, 47
  • [32] COVID-19 versus seasonal influenza: myocardial injury and prognostic importance
    Lars Mizera
    Monika Zdanyte
    Johannes Gernert
    Álvaro Petersen-Uribe
    Karin Müller
    Meinrad Paul Gawaz
    Simon Greulich
    Dominik Rath
    BMC Infectious Diseases, 22
  • [33] Impact of COVID-19 pandemic on catheter ablation in China: A spatiotemporal analysis
    Jiang, Jiang
    Zhao, Shuang
    Cheng, Chendi
    Lin, Na
    Li, Ping
    Ning, Xiaohui
    Zhang, Shu
    FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [34] COVID-19 versus seasonal influenza: myocardial injury and prognostic importance
    Mizera, Lars
    Zdanyte, Monika
    Gernert, Johannes
    Petersen-Uribe, Alvaro
    Mueller, Karin
    Gawaz, Meinrad Paul
    Greulich, Simon
    Rath, Dominik
    BMC INFECTIOUS DISEASES, 2022, 22 (01)
  • [35] Comparison of spatiotemporal characteristics of the COVID-19 and SARS outbreaks in mainland China
    Xi Zhang
    Huaxiang Rao
    Yuwan Wu
    Yubei Huang
    Hongji Dai
    BMC Infectious Diseases, 20
  • [36] Predictors of seasonal influenza and COVID-19 vaccination coverage among adults in Tennessee during the COVID-19 pandemic
    Cunningham-Erves, J.
    George, W.
    Sanderson, M.
    Stewart, E.
    Jin, S. W.
    Davis, J.
    Brandt, H. M.
    FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [37] Change in patterns of hospitalization for influenza during COVID-19 surges
    Venkatram, Sindhaghatta
    Alapati, Anuhya
    Dileep, Arundhati
    Diaz-Fuentes, Gilda
    INFLUENZA AND OTHER RESPIRATORY VIRUSES, 2022, 16 (01) : 72 - 78
  • [38] Spatiotemporal Analysis of Covid-19 in Turkey
    Aral, Nese
    Bakir, Hasan
    SUSTAINABLE CITIES AND SOCIETY, 2022, 76
  • [39] Epidemiological characteristics of seasonal influenza under implementation of zero-COVID-19 strategy in China
    Zeng, Hui
    Cai, Meihong
    Li, Shiqi
    Chen, Xiaoping
    Xu, Xianqun
    Xie, Wen
    Xiong, Yong
    Long, Xinghua
    JOURNAL OF INFECTION AND PUBLIC HEALTH, 2023, 16 (08) : 1158 - 1166
  • [40] Comparison of spatiotemporal characteristics of the COVID-19 and SARS outbreaks in mainland China
    Zhang, Xi
    Rao, Huaxiang
    Wu, Yuwan
    Huang, Yubei
    Dai, Hongji
    BMC INFECTIOUS DISEASES, 2020, 20 (01)