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Yancen Zhan

Dados Biográficos

ID7767574
NOMEYancen Zhan
PRENOMESYancen
SOBRENOMEZhan
ASSINATURAZHAN Y
AFILIAÇÕESSecond Affiliated Hospital of Zhejiang University
VERIFICADONão
TOTAL DE OBRAS5
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Spatio-temporal patterns and associated factors of influenza-like illness outbreaks in Chinese mainland

    Open Access•Xifei Guan, Zhixin Zhu et al.•ARTICLE•BMC Public Health•2025

    The study revealed distinct patterns and related influencing factors of ILI outbreaks in Chinese mainland from 2013 to 2022. Seasonality and spatial aggregation were its main characteristics. Temperature, sunshine duration, and wind speed were negatively correlated with the risk of ILI outbreaks, whereas surface pressure, the proportion of males, the proportion of population aged 14 and below, GDP per capita and floating population were positivel…

  • Spatio-temporal pattern and associate factors study on intestinal infectious diseases based on panel model in Zhejiang Province

    Open Access•Lanfang Gu, Jian Cai et al.•ARTICLE•BMC Public Health•2024

    The incidence of IIDs in Zhejiang Province exhibited a certain degree of clustering, with major hotspots identified in Hangzhou, Shaoxing, and Jinhua. It would be essential to consider the spillover effects from neighboring regions and implement targeted measures to enhance disease prevention based on regional development

  • Development and comparison of predictive models for sexually transmitted diseases—Aids, gonorrhea, and syphilis in China, 2011–2021

    Open Access•Zhixin Zhu, Xiaoxia Zhu et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Accurate incidence prediction of sexually transmitted diseases (STDs) is critical for early prevention and better government strategic planning. In this paper, four different forecasting models were presented to predict the incidence of AIDS, gonorrhea, and syphilis. Methods: The annual percentage changes in the incidence of AIDS, gonorrhea, and syphilis were estimated by using joinpoint regression. The performance of four methods, na…

  • Spatio–temporal variation on syphilis from 2005 to 2018 in Zhejiang Province, China

    Open Access•Xiaoxia Zhu, Zhixin Zhu et al.•ARTICLE•Frontiers in Public Health•2022

    Background Syphilis has spread throughout China, especially in Zhejiang Province which endangers the health and lives of people. However, the spatial and temporal epidemiological studies of syphilis in Zhejiang are not thorough enough. The temporal and spatial variation and the relevant factors of syphilis incidence should be analyzed for more effective prevention and control in Zhejiang, China. Methods Data on confirmed cases of syphilis in Zhej…

  • Prediction models and associated factors on the fertility behaviors of the floating population in China

    Open Access•Xiaoxia Zhu, Joan Castaño García et al.•ARTICLE•Frontiers in Public Health•2022

    The floating population has been growing rapidly in China, and their fertility behaviors do affect urban management and development. Based on the data set of the China Migrants Dynamic Survey in 2016, the logistic regression model and multiple linear regression model were used to explore the related factors of fertility behaviors among the floating populace. The artificial neural network model, the naive Bayes model, and the logistic regression m…

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  • Development and comparison of predictive models for sexually transmitted diseases—Aids, gonorrhea, and syphilis in China, 2011–2021

    Open Access•Zhixin Zhu, Xiaoxia Zhu et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Accurate incidence prediction of sexually transmitted diseases (STDs) is critical for early prevention and better government strategic planning. In this paper, four different forecasting models were presented to predict the incidence of AIDS, gonorrhea, and syphilis. Methods: The annual percentage changes in the incidence of AIDS, gonorrhea, and syphilis were estimated by using joinpoint regression. The performance of four methods, na…

  • Spatio–temporal variation on syphilis from 2005 to 2018 in Zhejiang Province, China

    Open Access•Xiaoxia Zhu, Zhixin Zhu et al.•ARTICLE•Frontiers in Public Health•2022

    Background Syphilis has spread throughout China, especially in Zhejiang Province which endangers the health and lives of people. However, the spatial and temporal epidemiological studies of syphilis in Zhejiang are not thorough enough. The temporal and spatial variation and the relevant factors of syphilis incidence should be analyzed for more effective prevention and control in Zhejiang, China. Methods Data on confirmed cases of syphilis in Zhej…

  • Prediction models and associated factors on the fertility behaviors of the floating population in China

    Open Access•Xiaoxia Zhu, Joan Castaño García et al.•ARTICLE•Frontiers in Public Health•2022

    The floating population has been growing rapidly in China, and their fertility behaviors do affect urban management and development. Based on the data set of the China Migrants Dynamic Survey in 2016, the logistic regression model and multiple linear regression model were used to explore the related factors of fertility behaviors among the floating populace. The artificial neural network model, the naive Bayes model, and the logistic regression m…

  • Spatio-temporal pattern and associate factors study on intestinal infectious diseases based on panel model in Zhejiang Province

    Open Access•Lanfang Gu, Jian Cai et al.•ARTICLE•BMC Public Health•2024

    The incidence of IIDs in Zhejiang Province exhibited a certain degree of clustering, with major hotspots identified in Hangzhou, Shaoxing, and Jinhua. It would be essential to consider the spillover effects from neighboring regions and implement targeted measures to enhance disease prevention based on regional development

  • Spatio-temporal patterns and associated factors of influenza-like illness outbreaks in Chinese mainland

    Open Access•Xifei Guan, Zhixin Zhu et al.•ARTICLE•BMC Public Health•2025

    The study revealed distinct patterns and related influencing factors of ILI outbreaks in Chinese mainland from 2013 to 2022. Seasonality and spatial aggregation were its main characteristics. Temperature, sunshine duration, and wind speed were negatively correlated with the risk of ILI outbreaks, whereas surface pressure, the proportion of males, the proportion of population aged 14 and below, GDP per capita and floating population were positivel…

Medicine (3 obras) · Biostatistics (2 obras) · COVID-19 epidemiological studies (2 obras) · Data-Driven Disease Surveillance (2 obras) · Epidemiology (2 obras) · Public health (2 obras) · Syphilis (2 obras) · Virology (2 obras) · Archaeological and Historical Studies (1 obras) · Archaeology (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