2篇
您的检索式：作者名="Linqing Mao"
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| 1 | Visual comfort is affected by urban colorscape tones in hazy weather显示文摘 | Yang Liu Jian Kang Ying Zhang Dehua Wang Linqing Mao | 2016 | Frontiers of Architectural Research2016，5，4： | 2 |
| 2 | Epidemiological Characteristics of Human Parainfluenza Viruses Infections-China,2019-2023显示文摘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. | Yixuan Gao Yingwei Ma Daxing Feng Feng Zhang Biao Wang Xiaoqing Liu Bing Zhu Hui Xie Linqing Zhao Xiaoru Long Ying Chen Bing Wang Jie Jiang Zhen Zhu Yan Zhang Aili Cui Baicheng Xia Naiying Mao | 2024 | China CDC weekly2024，6，12： | 0 |
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