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Epidemiological Characteristics of Human Parainfluenza Viruses Infections - China, 2019-2023.
Gao, Yixuan; Ma, Yingwei; Feng, Daxing; Zhang, Feng; Wang, Biao; Liu, Xiaoqing; Zhu, Bing; Xie, Hui; Zhao, Linqing; Long, Xiaoru; Chen, Ying; Wang, Bing; Jiang, Jie; Zhu, Zhen; Zhang, Yan; Cui, Aili; Xia, Baicheng; Mao, Naiying.
Afiliación
  • Gao Y; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China.
  • Ma Y; Precision Medicine Research Center, Children's Hospital of Changchun, Changchun City, Jilin Province, China.
  • Feng D; Henan Provincial Center for Disease Control and Prevention, Zhengzhou City, Henan Province, China.
  • Zhang F; Laboratory of Viral Diseases, Qingdao Municipal Centre for Disease Control and Prevention, Qingdao City, Shandong Province, China.
  • Wang B; Virus Laboratory, Gansu Provincial Center for Disease Control and Prevention, Lanzhou City, Gansu Province, China.
  • Liu X; Jiangxi Provincial Center for Disease Control and Prevention, Nanchang City, Gansu Province, China.
  • Zhu B; Virus Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou City, Guangdong Province, China.
  • Xie H; Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control, Academy for Preventive Medicine, Institute of Tuberculosis Control Research and Prevention, Beijing, China.
  • Zhao L; Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing, China.
  • Long X; Department of Infection, Children's Hospital of Chongqing Medical University, Chongqing, China.
  • Chen Y; Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Hohhot City, Inner Mongolia Autonomous Region, China.
  • Wang B; Shenyang Prefecture Center for Disease Control and Prevention, Shenyang City, Liaoning Province, China.
  • Jiang J; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China.
  • Zhu Z; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China.
  • Zhang Y; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China.
  • Cui A; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China.
  • Xia B; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China.
  • Mao N; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Beijing, China.
China CDC Wkly ; 6(12): 235-241, 2024 Mar 22.
Article en En | MEDLINE | ID: mdl-38633430
ABSTRACT

Introduction:

A retrospective study based on sentinel surveillance was conducted in 10 provincial-level 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 post- coronavirus 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, co-infections 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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: China CDC Wkly Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: China CDC Wkly Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: China