Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Dongshan Zhu

Dados Biográficos

ID6071574
NOMEDongshan Zhu
PRENOMESDongshan
SOBRENOMEZhu
ASSINATURAZHU D
AFILIAÇÕESShandong University
ORCID0000-0002-0697-7432
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1
  • Extensive antibiotic use during early life and risk of frailty

    Open Access•Xuemei Zhen, Xueshan Sun et al.•ARTICLE•BMC Public Health•2026

    Our findings indicate that extensive antibiotic use during early life is associated with elevated risk of frailty in middle and older adulthood. They highlight the importance of prudent antibiotic use in early life and the need for additional studies to explore the underlying causal pathways

  • Disease-Specific Excess Mortality During the Covid-19 Pandemic

    Dongshan Zhu, Akihiko Ozaki et al.•ARTICLE•American Journal of Public Health•2021•Citada por: 1•Referências: 8

    Objectives. To examine the disease-specific excess deaths during the COVID-19 pandemic in the United States. Methods. We used weekly death data from the National Center for Health Statistics to analyze the trajectories of excess deaths from specific diseases in the United States during the COVID-19 pandemic, at the national level and in 4 states, from the first to 52nd week of 2020. We used the average weekly number of deaths in the previous 6 ye…

  • A way to track governments’ response and people’s mobility changes in response to Covid-19 pandemic

    Open Access•Dongshan Zhu, Shiva Raj Mishra et al.•ARTICLE•Journal of Global Health•2020

  • Disease-Specific Excess Mortality During the Covid-19 Pandemic

    Dongshan Zhu, Akihiko Ozaki et al.•ARTICLE•American Journal of Public Health•2021•Citada por: 1•Referências: 8

    Objectives. To examine the disease-specific excess deaths during the COVID-19 pandemic in the United States. Methods. We used weekly death data from the National Center for Health Statistics to analyze the trajectories of excess deaths from specific diseases in the United States during the COVID-19 pandemic, at the national level and in 4 states, from the first to 52nd week of 2020. We used the average weekly number of deaths in the previous 6 ye…

  • A way to track governments’ response and people’s mobility changes in response to Covid-19 pandemic

    Open Access•Dongshan Zhu, Shiva Raj Mishra et al.•ARTICLE•Journal of Global Health•2020

  • Disease-Specific Excess Mortality During the Covid-19 Pandemic

    Dongshan Zhu, Akihiko Ozaki et al.•ARTICLE•American Journal of Public Health•2021•Citada por: 1•Referências: 8

    Objectives. To examine the disease-specific excess deaths during the COVID-19 pandemic in the United States. Methods. We used weekly death data from the National Center for Health Statistics to analyze the trajectories of excess deaths from specific diseases in the United States during the COVID-19 pandemic, at the national level and in 4 states, from the first to 52nd week of 2020. We used the average weekly number of deaths in the previous 6 ye…

  • Extensive antibiotic use during early life and risk of frailty

    Open Access•Xuemei Zhen, Xueshan Sun et al.•ARTICLE•BMC Public Health•2026

    Our findings indicate that extensive antibiotic use during early life is associated with elevated risk of frailty in middle and older adulthood. They highlight the importance of prudent antibiotic use in early life and the need for additional studies to explore the underlying causal pathways

COVID-19 epidemiological studies (2 obras) · Internal Medicine (2 obras) · Medicine (2 obras) · Pandemic (2 obras) · 2019-20 coronavirus outbreak (1 obras) · Antibiotics (1 obras) · Baseline (sea) (1 obras) · Betacoronavirus (1 obras) · Biobank (1 obras) · Biostatistics (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae