Epidemiological Characteristics of Human Parainfluenza Viruses Infections - China, 2019-2023

被引:4
|
作者
Gao, Yixuan [1 ]
Ma, Yingwei [2 ]
Feng, Daxing [3 ]
Zhang, Feng [4 ]
Wang, Biao [5 ]
Liu, Xiaoqing [6 ]
Zhu, Bing [7 ]
Xie, Hui [8 ]
Zhao, Linqing [9 ]
Long, Xiaoru [10 ]
Chen, Ying [11 ]
Wang, Bing [12 ]
Jiang, Jie [1 ]
Zhu, Zhen [1 ]
Zhang, Yan [1 ]
Cui, Aili [1 ]
Xia, Baicheng [1 ]
Mao, Naiying [1 ]
机构
[1] Chinese Ctr Dis Control & Prevent, Natl Inst Viral Dis Control & Prevent, Natl Key Lab Intelligent Tracking & Forecasting In, Beijing, Peoples R China
[2] Childrens Hosp Changchun, Precis Med Res Ctr, Changchun, Jilin, Peoples R China
[3] Henan Prov Ctr Dis Control & Prevent, Zhengzhou, Henan, Peoples R China
[4] Qingdao Municipal Ctr Dis Control & Prevent, Lab Viral Dis, Qingdao, Shandong, Peoples R China
[5] Gansu Prov Ctr Dis Control & Prevent, Virus Lab, Lanzhou, Gansu, Peoples R China
[6] Jiangxi Prov Ctr Dis Control & Prevent, Nanchang, Jiangxi, Peoples R China
[7] Guangzhou Med Univ, Guangzhou Women & Childrens Med Ctr, Virus Lab, Guangzhou, Guangdong, Peoples R China
[8] Acad Prevent Med, Inst Immunizat & Prevent, Inst TB Control Res & Prevent, Beijing Ctr Dis Prevent & Control, Beijing, Peoples R China
[9] Capital Inst Pediat, Lab Virol, Beijing Key Lab Etiol Viral Dis Children, Beijing, Peoples R China
[10] Chongqing Med Univ, Childrens Hosp, Dept Infect, Chongqing, Peoples R China
[11] Inner Mongolia Autonomous Reg Comprehens Ctr Dis C, Hohhot, Inner Mongolia, Peoples R China
[12] Shenyang Prefecture Ctr Dis Control & Prevent, Shenyang, Liaoning, Peoples R China
来源
CHINA CDC WEEKLY | 2024年 / 6卷 / 12期
关键词
SOUTH-AFRICA; CHILDREN;
D O I
10.46234/ccdcw2024.047
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction : A retrospective study based on sentinel surveillance was conducted in 10 provinciallevel administrative divisions (PLADs) in China to enhance the understanding of the epidemiological characteristics of human parainfluenza viruses (HPIVs). Methods : From January 2019 to June 2023, respiratory specimens were collected from individuals with acute respiratory infections (ARIs) and screened for four HPIVs serotypes and other common respiratory viruses using multiplex real-time polymerase chain reaction (PCR). This study analyzed the association of HPIVs infections with seasonal patterns, geographical distribution, demographic profiles, clinical features, and co -infection status. Results : During the study period, a total of 12,866 ARIs were included. The overall detection rate of HPIVs was 6.15 % , varying from 5.04 % in 2022 to 9.70 % in 2020. The median age of HPIVs-infected patients was 3 years. HPIV2 was more prevalent among individuals aged 5-17 years (42.57 % ), while HPIV4 was more common in those over 65 years (12.24 % ). HPIV3 (54.16 % ) and HPIV1 (27.18 % ) were the predominant serotypes, and their prevalence exhibited significant seasonal fluctuations postcoronavirus disease 2019 (COVID-19) pandemic. The peak of HPIV3 shifted three months later in 2020 compared to 2019 and returned to a summer peak thereafter. Two peaks of HPIV1 were observed in 2021 following the peak of HPIV3. Additionally, coinfections were frequent in HPIVs cases (overall rate: 22.12 % ), with human rhinovirus being the most common co -infecting virus. Conclusions : The prevalence of HPIVs in China was predominantly due to HPIV3 and HPIV1, and their seasonal patterns were altered by pandemic restrictions. Hence, continuous surveillance of HPIVs is essential.
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页数:9
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