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publications

Prevalence of toothache in Chinese adults aged 65 years and above

Published in Community Dentistry and Oral Epidemiology, 2021

This study investigated the prevalence of toothache and its risk indicators in the older Chinese population. Analysis of national cross-sectional survey data on 25,048 Chinese people aged 65 years and older from 2011, 2014, and 2018 survey years was performed.

Recommended citation: Wan S, Tao L, Liu M, Liu J. (2021). "Prevalence of toothache in Chinese adults aged 65 years and above." Community Dentistry and Oral Epidemiology. 49(6):522-532.
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Greenspace and mortality in the U.K. Biobank: Longitudinal cohort analysis of socio-economic, environmental, and biomarker pathways

Published in SSM - Population Health, 2022

Exposure to natural greenspace benefits health through direct and indirect pathways: increasing physical activity, improving mental health, relieving social isolation, reducing exposure to extreme temperature, noise, and air pollution. This study used large cohort follow-up data from the U.K. Biobank to quantify the magnitude of behavioral factors, psychological factors, biomarkers/physiological measurements, co-morbid diseases, and environmental exposure as potential mediators in the relationship between greenspace and mortality.

Recommended citation: Wan S, Rojas-Rueda D, Pretty J, Roscoe C, James P, Ji JS. (2022). "Greenspace and mortality in the U.K. Biobank: Longitudinal cohort analysis of socio-economic, environmental, and biomarker pathways." SSM - Population Health. 19:101194.
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Effectiveness of influenza vaccination on in-hospital death in older adults with respiratory diseases

Published in Human Vaccines & Immunotherapeutics, 2022

This study examined the effectiveness of influenza vaccination on reducing in-hospital mortality among older adults with respiratory diseases.

Recommended citation: Zhang R, Pang Y, Wan S, Lu M, Lv M, Wu J, Huang Y. (2022). "Effectiveness of influenza vaccination on in-hospital death in older adults with respiratory diseases." Human Vaccines & Immunotherapeutics. 18(6):2117967.
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A deep neural network two-part model and feature importance test for semi-continuous data

Published in Annals of Applied Statistics, 2025

This paper addresses the challenge of modeling semi-continuous data where some subjects experience varying degrees of outcomes while others experience none, indicating two distinct data processes. We derive a DNN-based two-part model by adding a bootstrapping procedure along with a filtering algorithm to boost the stability of conventional DNN (sDNN). To improve interpretability, we further derive a feature importance testing procedure to identify important features contributing to the outcome measurements of the two data processes (fsDNN).

Recommended citation: Zou B, Mi X, Wan S, Wu D, Xenakis JG, Hu J, Zou F. (2025). "A deep neural network two-part model and feature importance test for semi-continuous data." Annals of Applied Statistics. 19(2).
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An interpretable deep learning framework for biomarker discovery in complex disease survival outcomes

Published in bioRxiv, 2025

Identification of important biomarkers associated with complex disease survival outcomes is fundamental for gaining an in-depth understanding of disease mechanisms and advancing precision medicine. We propose SurvDNN, an enhanced deep neural network framework specifically designed for survival outcomes modeling. SurvDNN incorporates a bootstrapping-based regularization strategy to mitigate overfitting and a novel stability-driven filtering algorithm to improve model robustness. To enable interpretable biomarker discovery, we extend the Permutation-based Feature Importance Test (PermFIT) to survival settings.

Recommended citation: Wan S, Mi X, Zou F, Zou B. (2025). "An interpretable deep learning framework for biomarker discovery in complex disease survival outcomes." bioRxiv. 2025.09.30.679415.
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teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015