Wei Liu

Prof. Wei Liu

Beijing Institute of Microbiology and Epidemiology
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 August 2021 in Nature Communications
Verified
Journal Article
Open access
PDF file
ZLZhong-Jie Li
Zhong-Jie Li
HZHai-Yang Zhang
Hai-Yang Zhang
LRLi-Li Ren
Li-Li Ren
QLQing-Bin Lu
Qing-Bin Lu
XRXiang Ren
Xiang Ren
WYWei-Zhong Yang
Wei-Zhong Yang
Nationwide prospective surveillance of all-age patients with acute respiratory infections was conducted in China between 2009‒2019. Here we report the etiological and epidemiological features of the 231,107 eligible patients enrolled in this analysis. Children <5 years old and school-age children have the highest viral positivity rate (46.9%) and bacterial positivity rate (30.9%). Influenza virus, respiratory syncytial virus and human rhinovirus are the three leading viral pathogens with proportions of 28.5%, 16.8% and 16.7%, and Streptococcus pneumoniae, Mycoplasma pneumoniae and Klebsiella pneumoniae are the three leading bacterial pathogens (29.9%, 18.6% and 15.8%). Negative interactions between viruses and positive interactions between viral and bacterial pathogens are common. A Join-Point analysis reveals the age-specific positivity rate and how this varied for individual pathogens. These data indicate that differential priorities for diagnosis, prevention and control should be highlighted in terms of acute respiratory tract infection patients’ demography, geographic locations and season of illness in China.

1 October 2018 in The Lancet Infectious Diseases
Verified
Journal Article
Closed access
HLHao Li
Hao Li
QLQing-Bin Lu
Qing-Bin Lu
BXBo Xing
Bo Xing
SZShao-Fei Zhang
Shao-Fei Zhang
KLKun Liu
Kun Liu
WLWei Liu
Wei Liu

28 March 2023 in The Lancet Microbe
Verified
Journal Article
Open access
YLYan-Ning Liu
Yan-Ning Liu
YZYun-Fa Zhang
Yun-Fa Zhang
QXQiang Xu
Qiang Xu
YQYan Qiu
Yan Qiu
QLQing-Bin Lu
Qing-Bin Lu
WLWei Liu
Wei Liu
Severe community-acquired pneumonia (SCAP) is associated with a substantial number of hospitalisations and deaths worldwide. Infection or co-infection patterns, along with their age dependence and clinical effects are poorly understood. We aimed to explore the causal and epidemiological characteristics by age, to better describe patterns of community-acquired pneumonia (CAP) and their association with severe disease. National surveillance of CAP was conducted through a network of hospitals in 30 provinces in China from 2009-20 inclusive. Patients with CAP were included if they had evidence of acute respiratory tract, had evidence of pneumonia by chest radiography, diagnosis of pneumonia within 24 h of hospital admission, and resided in the study catchment area. For the enrolled patients with CAP, nasopharyngeal and oral swabs were taken and tested for eight viral pathogens; and blood, urine, or expectorated sputum was tested for six bacterial pathogens. Clinical outcomes, including SCAP, were investigated with respect to age and patterns of infections or co-infections by performing binary logistic regression and multivariate analysis. Between January, 2009, and December, 2020, 18 807 patients with CAP (3771 [20·05%] with SCAP) were enrolled. For both children (aged ≤5 years) and older adults (aged >60 years), a higher overall rate of viral and bacterial infections, as well as viral-bacterial co-infections were seen in patients with SCAP than in patients with non-SCAP. For adults (aged 18-60 years), however, only a higher rate of bacterial-bacterial co-infection was observed. The most frequent pathogens associated with SCAP were respiratory syncytial virus (RSV; 21·30%) and Streptococcus pneumoniae (12·61%) among children, and influenza virus (10·94%) and Pseudomonas aeruginosa (15·37%) among older adults. Positive rates of detection of most of the tested pathogens decreased during 2020 compared with the 2009-19 period, except for RSV, P aeruginosa, and Klebsiella pneumoniae. Multivariate analyses showed SCAP was significantly associated with infection with human adenovirus, human rhinovirus, K pneumoniae, or co-infection of RSV and Haemophilus influenzae or RSV and Staphylococcus aureus in children and adolescents (aged <18 years), and significantly associated with infection with P aeruginosa, K pneumoniae, or S pneumoniae, or co-infection with P aeruginosa and K pneumoniae in adults (aged ≥18 years). Both prevalence and infection pattern of respiratory pathogens differed between patients with SCAP and patients with non-SCAP in an age-dependent manner. These findings suggest potential advantages to age-related strategies for vaccine schedules, as well as clinical diagnosis, treatment, and therapy. China Mega-Project on Infectious Disease Prevention and The National Natural Science Funds of China. For the Chinese translation of the abstract see Supplementary Materials section.

17 February 2021 in Nature Communications
Verified
Journal Article
Open access
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GZGuo-Ping Zhao
Guo-Ping Zhao
YWYi-Xing Wang
Yi-Xing Wang
ZFZheng-Wei Fan
Zheng-Wei Fan
YJYang Ji
Yang Ji
MLMing-Jin Liu
Ming-Jin Liu
LFLi-Qun Fang
Li-Qun Fang
Understanding ecological niches of major tick species and prevalent tick-borne pathogens is crucial for efficient surveillance and control of tick-borne diseases. Here we provide an up-to-date review on the spatial distributions of ticks and tick-borne pathogens in China. We map at the county level 124 tick species, 103 tick-borne agents, and human cases infected with 29 species (subspecies) of tick-borne pathogens that were reported in China during 1950−2018.Haemaphysalis longicornisis found to harbor the highest variety of tick-borne agents, followed byIxodes persulcatus,Dermacentor nutalliandRhipicephalus microplus. Using a machine learning algorithm, we assess ecoclimatic and socioenvironmental drivers for the distributions of 19 predominant vector ticks and two tick-borne pathogens associated with the highest disease burden. The model-predicted suitable habitats for the 19 tick species are 14‒476% larger in size than the geographic areas where these species were detected, indicating severe under-detection. Tick species harboring pathogens of imminent threats to public health should be prioritized for more active field surveillance.

11 February 2020 in medRxiv
Verified
Preprint
Open access
PDF file
YYYang Yang
Yang Yang
QLQing-Bin Lu
Qing-Bin Lu
MLMing-Jin Liu
Ming-Jin Liu
YWYi-Xing Wang
Yi-Xing Wang
AZAn-Ran Zhang
An-Ran Zhang
LFLi-Qun Fang
Li-Qun Fang
Our manuscript was based on surveillance cases of COVID-19 identified before January 26, 2020. As of February 20, 2020, the total number of confirmed cases in mainland China has reached 18 times of the number in our manuscript. While the methods and the main conclusions in our original analyses remain solid, we decided to withdraw this preprint for the time being, and will replace it with a more up-to-date version shortly. Should you have any comments or suggestions, please feel free to contact the corresponding author.

1 May 2018 in Emerging Infectious Diseases
Verified
Journal Article
Open access
LZLu Zhuang
Lu Zhuang
YSYi Sun
Yi Sun
XCXiao-Ming Cui
Xiao-Ming Cui
FTFang Tang
Fang Tang
JHJian-Gong Hu
Jian-Gong Hu
WCWu-Chun Cao
Wu-Chun Cao
We demonstrate maintenance and transmission of severe fever with thrombocytopenia syndrome virus by Haemaphysalis longicornis ticks in the larva, nymph, and adult stages with dissemination in salivary gland, midgut, and ovarian tissues. The H. longicornis tick is a competent vector to transmit this virus in both transovarial and transstadial modes.