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Duoduo Li

Biographic Data

ID7761974
NAMEDuoduo Li
GIVEN NAMESDuoduo
FAMILY NAMELi
SIGNATURELI D
AFFILIATIONSTsinghua University
ORCID0009-0004-5629-4471
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Global Solidarity or Individual Rights?—A Comparative Critical Discourse Analysis of China’s National Image in China Daily and CNN’s Coverage of the Beijing Winter Olympics

    Open Access•Ruixi Sun, Duoduo Li•ARTICLE•International Journal of English…•2025

    This study examines how China’s national image was constructed in media coverage of the 2022 Beijing Winter Olympics through a comparative critical discourse analysis of reporting by China Daily and CNN. Employing Fairclough’s three-dimensional model and corpus linguistics techniques, we analyzed a corpus of 60 China Daily articles (31,759 tokens) and 33 CNN articles (31,934 tokens) published during the Games (February 4–20, 2022). Keywords analy…

  • Trends in the global burden of childhood meningitis between 1990 and 2021 and projections to 2035

    Open Access•Duoduo Li, Duo-Duo Li et al.•ARTICLE•BMC Public Health•2025

    The burden of meningitis in children has decreased significantly worldwide, but those in low-income areas and newborns still face severe challenges. Streptococcus pneumoniae, N. meningitidis and K. pneumoniae are the main pathogens

  • Prediction of Covid-19 Patients at High Risk of Progression to Severe Disease

    Open Access•Zhenyu Dai, Dong Zeng et al.•ARTICLE•Frontiers in Public Health•2020

    In order to develop a novel scoring model for the prediction of coronavirus disease-19 (COVID-19) patients at high risk of severe disease, we retrospectively studied 419 patients from five hospitals in Shanghai, Hubei, and Jiangsu Provinces from January 22 to March 30, 2020. Multivariate Cox regression and orthogonal projections to latent structures discriminant analysis (OPLS-DA) were both used to identify high-risk factors for disease severity …

  • Getting their voices heard

    Open Access•Wanxin Li, Jieyan Liu et al.•ARTICLE•Journal of Environmental Management•2012

No prominent works on this page.

  • Getting their voices heard

    Open Access•Wanxin Li, Jieyan Liu et al.•ARTICLE•Journal of Environmental Management•2012

  • Prediction of Covid-19 Patients at High Risk of Progression to Severe Disease

    Open Access•Zhenyu Dai, Dong Zeng et al.•ARTICLE•Frontiers in Public Health•2020

    In order to develop a novel scoring model for the prediction of coronavirus disease-19 (COVID-19) patients at high risk of severe disease, we retrospectively studied 419 patients from five hospitals in Shanghai, Hubei, and Jiangsu Provinces from January 22 to March 30, 2020. Multivariate Cox regression and orthogonal projections to latent structures discriminant analysis (OPLS-DA) were both used to identify high-risk factors for disease severity …

  • Global Solidarity or Individual Rights?—A Comparative Critical Discourse Analysis of China’s National Image in China Daily and CNN’s Coverage of the Beijing Winter Olympics

    Open Access•Ruixi Sun, Duoduo Li•ARTICLE•International Journal of English…•2025

    This study examines how China’s national image was constructed in media coverage of the 2022 Beijing Winter Olympics through a comparative critical discourse analysis of reporting by China Daily and CNN. Employing Fairclough’s three-dimensional model and corpus linguistics techniques, we analyzed a corpus of 60 China Daily articles (31,759 tokens) and 33 CNN articles (31,934 tokens) published during the Games (February 4–20, 2022). Keywords analy…

  • Trends in the global burden of childhood meningitis between 1990 and 2021 and projections to 2035

    Open Access•Duoduo Li, Duo-Duo Li et al.•ARTICLE•BMC Public Health•2025

    The burden of meningitis in children has decreased significantly worldwide, but those in low-income areas and newborns still face severe challenges. Streptococcus pneumoniae, N. meningitidis and K. pneumoniae are the main pathogens

China (2 works) · Law (2 works) · Political science (2 works) · 2019-20 coronavirus outbreak (1 work) · Asian Culture and Media Studies (1 work) · Beijing (1 work) · Betacoronavirus (1 work) · Biostatistics (1 work) · Burden of disease (1 work) · Business (1 work)

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