Chunxia Cao

Biographic Data

ID7757026
NAMEChunxia Cao
GIVEN NAMESChunxia
FAMILY NAMECao
SIGNATURECAO C
AFFILIATIONSTianjin University
ORCID0000-0003-4857-425X
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Machine learning for sudden cardiac death prediction among older adults using community-based electronic health records

    Open AccessYue Li, Zihan Mei et al.ARTICLEBMC Public Health2025

    ML models can significantly enhance the prediction of SCD risk using community-based EHRs. Our proposed risk model may enable the identification of high-risk individuals among older adults, facilitating targeted interventions and personalized care strategies. Future research should focus on integrating this model into routine primary care workflows and evaluating its effectiveness in real-world settings

  • Mathematical models and analysis tools for risk assessment of unnatural epidemics: A scoping review

    Open AccessJi Li, Yue Li et al.ARTICLEFrontiers in Public Health2024

    Predicting, issuing early warnings, and assessing risks associated with unnatural epidemics (UEs) present significant challenges. These tasks also represent key areas of focus within the field of prevention and control research for UEs. A scoping review was conducted using databases such as PubMed, Web of Science, Scopus, and Embase, from inception to 31 December 2023. Sixty-six studies met the inclusion criteria. Two types of models (data-driven…

  • Urban–sub-urban–rural variation in the supply and demand of emergency medical services

    Open AccessYue Li, Ji Li et al.ARTICLEFrontiers in Public Health2023

    Background Emergency medical services (EMSs) are a critical component of health systems, often serving as the first point of contact for patients. Understanding EMS supply and demand is necessary to meet growing demand and improve service quality. Nevertheless, it remains unclear whether the EMS supply matches the demand after the 2016 healthcare reform in China. Our objective was to comprehensively investigate EMS supply–demand matching, particu…

  • Evolving Trends and Research Hotspots in Disaster Epidemiology From 1985 to 2020: A Bibliometric Analysis

    Open AccessTao Liu, Xin Liu et al.ARTICLEFrontiers in Public Health2021

    Background: Disaster epidemiology has not attracted enough attention in the past few decades and still faces significant challenges. This study aimed to systematically analyze the evolving trends and research hotspots in disaster epidemiology and provide insights into disaster epidemiology. Methods: We searched the Scopus and Web of Science Core Collection (WoSCC) databases between 1985 and 2020 to identify relevant literature on disaster epidemi…