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Zhaoyuan Gong

Datos Biográficos

ID7688593
NOMBREZhaoyuan Gong
NOMBRESZhaoyuan
APELLIDOGong
FIRMAGONG Z
AFILIACIONESChina Academy of Chinese Medical Sciences
ORCID0009-0002-6880-4673
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Pandemic transmission forecasting

    Open Access•Mingzhi Hu, Tian Song et al.•ARTICLE•Critical Public Health•2025

    Numerous mathematical models use various predictors and modeling approaches to forecast pandemics; however, given the diversity of these models, it remains unclear which type offers the most advantage. This study aimed to systematically evaluate the accuracy of models that incorporate natural, social, and pollution-related environmental factors to predict COVID-19 transmission, and to explore the potential role of predictive models in managing fu…

Sin obras prominentes en esta página.

  • Pandemic transmission forecasting

    Open Access•Mingzhi Hu, Tian Song et al.•ARTICLE•Critical Public Health•2025

    Numerous mathematical models use various predictors and modeling approaches to forecast pandemics; however, given the diversity of these models, it remains unclear which type offers the most advantage. This study aimed to systematically evaluate the accuracy of models that incorporate natural, social, and pollution-related environmental factors to predict COVID-19 transmission, and to explore the potential role of predictive models in managing fu…

Computational model (1 obra) · Coronavirus disease 2019 (COVID-19 (1 obra) · COVID-19 diagnosis using AI (1 obra) · COVID-19 epidemiological studies (1 obra) · COVID-19 Pandemic Impacts (1 obra) · Environmental pollution (1 obra) · Mathematical model (1 obra) · Pandemic (1 obra) · Predictive modelling (1 obra) · Transmission (telecommunications (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae