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Nannan Shi

Biographic Data

ID7688595
NAMENannan Shi
GIVEN NAMESNannan
FAMILY NAMEShi
SIGNATURESHI N
AFFILIATIONSChina Academy of Chinese Medical Sciences
ORCID0000-0003-0278-1608
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Developing Scenario-Oriented Traditional Chinese Medicine Clinical Practice Guidelines

    Open Access•Ning Liang, Lijiao Yan et al.•ARTICLE•Chinese Medicine and Culture•2026

    Traditional Chinese medicine (TCM) clinical practice guidelines are important for standardizing practice and supporting evidence-informed decision-making, but their applicability and real-world use remain limited. As clinical needs vary across settings, conventional guideline development approaches are insufficient. This article explores the development of TCM clinical practice guidelines in varied scenarios, focusing on rapid and living guidelin…

  • Perceptions and Attitudes of People With Cancer and Diabetes Towards Patient Guidelines

    Open Access•Lijiao Yan, Ning Liang et al.•ARTICLE•Health Expectations•2025

    OBJECTIVE: To explore patients' perceptions and attitudes towards patient guidelines (PGs) and to identify specific factors related to PG content, design, presentation, and management that may influence patients' use or adoption of PGs. METHODS: An exploratory sequential mixed-methods design was employed. Initial semi-structured interviews were conducted with a diverse group of individuals, including people with diabetes or oncology, and clinicia…

  • 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…

No prominent works on this page.

  • Perceptions and Attitudes of People With Cancer and Diabetes Towards Patient Guidelines

    Open Access•Lijiao Yan, Ning Liang et al.•ARTICLE•Health Expectations•2025

    OBJECTIVE: To explore patients' perceptions and attitudes towards patient guidelines (PGs) and to identify specific factors related to PG content, design, presentation, and management that may influence patients' use or adoption of PGs. METHODS: An exploratory sequential mixed-methods design was employed. Initial semi-structured interviews were conducted with a diverse group of individuals, including people with diabetes or oncology, and clinicia…

  • 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…

  • Developing Scenario-Oriented Traditional Chinese Medicine Clinical Practice Guidelines

    Open Access•Ning Liang, Lijiao Yan et al.•ARTICLE•Chinese Medicine and Culture•2026

    Traditional Chinese medicine (TCM) clinical practice guidelines are important for standardizing practice and supporting evidence-informed decision-making, but their applicability and real-world use remain limited. As clinical needs vary across settings, conventional guideline development approaches are insufficient. This article explores the development of TCM clinical practice guidelines in varied scenarios, focusing on rapid and living guidelin…

Clinical practice guidelines implementation (2 works) · Alternative medicine (1 work) · Attractiveness (1 work) · Clinical Practice (1 work) · Computational model (1 work) · Content analysis (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 diagnosis using AI (1 work) · COVID-19 epidemiological studies (1 work) · COVID-19 Pandemic Impacts (1 work)

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