YGYuan Gao

Yuan Gao

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Yuan Gao has a total of 31 co-authors. Here are the top co-authors by number of shared publications:

  • Aiping Qin

    National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China

    1 shared publication
  • Baohua He

    Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China

    1 shared publication
  • Bohan Chen

    National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China

    1 shared publication
  • Fei Zheng

    School of Public Health, North China University of Science and Technology, Tangshan, China

    1 shared publication
  • Gui-Xia Li

    Children's Hospital of Hebei Province, Shijiazhuang, 050031, Hebei, China

    1 shared publication
  • Haixia Zhang

    Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China

    1 shared publication

Latest Publications

  • Open Access

    Molecular characterization and antimicrobial susceptibility for 62 isolates of Bordetella pertussis from children

    by Baohua He, Zhaoyi Jia, Fei Zheng, Wenchao Zhang, Suxia Duan, Leyu Wang, Haixia Zhang, Hongbin Zhang, Ruoxuan Wang, Yuan Gao, et al.

    Background: Pertussis is a highly contagious respiratory disease caused by Bordetella pertussis (BP). Despite global control of pertussis cases through the Expanded Programme on Immunization (EPI), there has been a significant increase in the incidence of pertussis in recent years, characterized by a “resurgence” in developed countries with high immunization rates as well as a comparable reemergence in certain areas of China. We aim to explore the genotypes and antimicrobial susceptibility of circulating BP from children in Hebei.Study design: Children diagnosed with BP infection from 2019 to 2020 in Hebei, China were enrolled. We performed antimicrobial susceptibility testing (AST), whole-genome sequencing (WGS) analysis, single nucleotide polymorphism (SNP) detection, mltilocus sequence typing (MLST), multilocus antigen sequence typing (MAST), multilevel genome typing (MGT). A total of 313 international BP genomes were selected for comparison to examine the genomic diversity and evolutionary traits of Chinese strains within a global framework.Results: Sixty-two individuals were identified with BP infection via culture, yielding a positive rate of 15.62% (62/397) for BP. Two phylogenetic groups were identified, each carrying a dominating genotype. The two vaccine strains, CS and Tohama I, exhibited a distant relationship to these two groups. This study identified 56 erythromycin-resistant isolates, 55 azithromycin-resistant isolates, 58 sulfamethoxazole-sensitive isolates, and 53 cefotaxime-sensitive isolates. All BP isolates were sensitive to levofloxacin, amoxicillin, ceftriaxone, and meropenem. Meanwhile, all erythromycin-resistant strains, which belonged to lineage I and MGT2 sequence type 7 (ST7), shared the ptxP1 gene and contained the 23S rRNA A2047G mutation. The major MAST was prn1/ptxP1/ptxA1/fim3-1/fim2-1 (75.81%). All 62 BP strains were divided into 1, 2, 3, 14, and 52 types at the MGT1, MGT2, MGT3, MGT4, and MGT5 levels, respectively.Conclusion: This work showed that there may be a link between antimicrobial resistance and alterations in specific molecular types, and the isolates showed a clear change when compared with the vaccine strain and that selection pressure from both antibiotics and immunization may be responsible for driving Chinese BP evolution, and necessitate a reevaluation of the immunization strategy and the development of novel vaccines in China to halt the resurgence and medication resistance of pertussis.


  • Open Access

    Underestimated Incidence Rate of Pertussis in the Community: Results from Active Population-Based Surveillance in Yiwu, China

    by Hanying Dai, Hanqing He, Juan Xu, Yao Zhu, Tao Fu, Bohan Chen, Jie Li, Yuan Gao, Aiping Qin, Maojun Zhang, et al.

    Background: The resurgence of pertussis in China underscores the urgency of active surveillance to complement the passive surveillance system. Methods: Active surveillance for pertussis was conducted from 1 June 2021 to 31 May 2022, at Yiwu, Zhejiang province of China. Patients with suspected pertussis were further confirmed as pertussis cases by PCR and culture. The incidence rate of pertussis in the community was estimated. Results: The overall estimated incidence of pertussis was 108.3 per 100,000 (95% CrI: 91.7–126.4). Children aged 4–5 years had the highest incidence (1154.3 per 100,000 [95% CrI: 817.4–1553.5]), followed by infants aged 1 year (836.1 per 100,000 [95% CrI: 434.0–1308.8]). Infants aged 0–4 months had the highest hospitalization rate among the pertussis patients (>50.0%). Although the incidence was low in elderly aged ≥ 60 years, the hospitalization rate was rather high (6.7%). Conclusion: Active surveillance in this study revealed a higher burden of pertussis in Yiwu, China, compared to passive surveillance. Children aged 4–5 years are the dominant population group at risk of pertussis. Infants aged ≤ 4 months are the most vulnerable pertussis patients that require hospitalization treatment. Our results highlight the urgency of large-scale active surveillance of pertussis in China.


  • Open Access

    A rapid and sensitive recombinase aided amplification assay incorporating competitive internal control to detect Bordetella pertussis using the DNA obtained by boiling

    by Rui-Qing Zhang, Gui-Xia Li, Xin-Na Li, Xin-Xin Shen, Yuan Gao, Le Wang, Tao Fan, Qing-Xia Duan, Ya-Kun Wang, Ji Wang, et al.