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
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.
Precision Medicine Research Center, Children's Hospital of Changchun, Changchun City, Jilin Province, China.
China CDC Wkly. 2024 Mar 22;6(12):235-241. doi: 10.46234/ccdcw2024.047.
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).
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.
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.
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.
在中国10个省级行政区开展了一项基于哨点监测的回顾性研究，以增进对人副流感病毒（HPIVs）流行病学特征的了解。
2019年1月至2023年6月，收集急性呼吸道感染（ARI）患者的呼吸道标本，采用多重实时聚合酶链反应（PCR）检测四种HPIV血清型及其他常见呼吸道病毒。本研究分析了HPIV感染与季节模式、地理分布、人口统计学特征、临床特征和合并感染状况之间的关联。
研究期间，共纳入12,866例ARI患者。HPIV的总体检出率为6.15%，2022年为5.04%，2020年为9.70%。HPIV感染患者的中位年龄为3岁。HPIV2在5至17岁人群中更为常见（42.57%），而HPIV4在65岁以上人群中更为常见（12.24%）。HPIV3（54.16%）和HPIV1（27.18%）是主要血清型，其流行率在2019冠状病毒病（COVID-19）大流行后呈现出显著的季节性波动。与2019年相比，2020年HPIV3的峰值推迟了三个月，此后又恢复到夏季高峰。2021年在HPIV3峰值之后观察到HPIV1的两个峰值。此外，HPIV感染病例中合并感染很常见（总体发生率：22.12%），人鼻病毒是最常见的合并感染病毒。
中国HPIV的流行主要归因于HPIV3和HPIV1，其季节模式因大流行限制而改变。因此，持续监测HPIV至关重要。
