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ETHNOS_APP

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Zhaoyuan Gong

Dados Biográficos

ID7688593
NOMEZhaoyuan Gong
PRENOMESZhaoyuan
SOBRENOMEGong
ASSINATURAGONG Z
AFILIAÇÕESChina Academy of Chinese Medical Sciences
ORCID0009-0002-6880-4673
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
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…

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  • 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 • 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