PDF
Full
Outline
To investigate the prevalence of seasonal human coronaviruses (sHCoV) in acute respiratory infection cases in selected medical institutions in Shanghai before and after the COVID-19 pandemic.
A retrospective analysis was conducted on respiratory samples from 11 794 acute respiratory infection cases collected between January 2016 and December 2023 at nine medical institutions. Multiplex PCR was used to detect sHCoV, and the χ2 tests were performed to compare detection rates across three periods (pre-pandemic, during the pandemic, and post-pandemic) and to assess changes in epidemic characteristics.
Among the 11 794 respiratory samples, the overall detection rate of eight common respiratory viruses declined significantly during and after the pandemic. The overall detection rate of sHCoV was 3.47% (409/11 794), decreasing to 1.58% (55/2 259) during the pandemic and further to 1.42% (32/3 482) post-pandemic (P<0.001). Before the pandemic, sHCoV circulated year-round, with peak activity from March to September. During the pandemic, the peak shifted to July-December, whereas post-pandemic, detections were observed throughout the year without a clear seasonal peak. Before the pandemic, the four sHCoV subtypes circulated alternately, with HCoV-NL63 being the most prevalent and remaining stable during the pandemic. However, post-pandemic, HCoV-229E became dominant, and subtype-specific trends shifted. Notably, HCoV-229E transitioned from a biphasic to a monophasic pattern, and re-emerging with a biphasic trend post-pandemic. The peak circulation periods of HCoV-HKU1 and HCoV-OC43 were delayed by 5-8 months, whereas HCoV-NL63 was not detected in the post-pandemic period.
The COVID-19 pandemic may have influenced the transmission patterns of sHCoV. After the pandemic, there was a decrease in the detection rate of sHCoV, a delayed seasonal peak, and changes in the viral subtype composition. Continued monitoring of these trends is essential to provide scientific support for respiratory infection prevention and control strategies.
PDF
53
22
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
