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Health & Social Care in the Community|May 3, 2020
Exploring long-term volunteerism in a community family service centre in Singapore: A Focused Ethnographic StudyWen Qiu Cindy Tan, Violeta Lopez, Wai San Wilson Tam, et al.
Journal of Clinical Epidemiology|October 25, 2020
Trials number, funding support, and intervention type associated with IPDMA data retrieval: a cross-sectional studyIrene X Y Wu, Fang Xiao, Huan Wang, et al.
International Emergency Nursing|August 14, 2017
Spiritual perspectives of emergency medicine doctors and nurses in caring for end-of-life patients: A mixed-method studyYingting Zhang, Rakhee Yash Pal, Wai San Wilson Tam, et al.
BMC Medical Informatics and Decision Making|May 4, 2013
A hybrid seasonal prediction model for tuberculosis incidence in ChinaShiyi Cao, Feng Wang, Wilson Tam, et al.
Journal of Advanced Nursing|June 18, 2021
Impact of sense of coherence, resilience and loneliness on quality of life amongst older adults in long-term care: A correlational study using the salutogenic modelJia Yi Tan, Wai San Wilson Tam, Hongli Sam Goh, et al.
Journal of Nursing Management|July 9, 2025
Micro-, Meso- and Macrofactor Relationships in Nursing Turnover: Insights From Survey and Interview DataJennifer Sumner, Hui Wen Lim, Brigitte Woo, et al.
Postgraduate Medical Journal|November 30, 2019
Association of pulse pressure with all-cause mortality in young adultsJie Li, Jia-Yi Huang, Kenneth Lo, et al.
Annals of Translational Medicine|May 16, 2020
The relationship between mean telomere length and blood pressure: results from the National Health and Nutrition Examination SurveysYu-Qing Huang, Lin Liu, Kenneth Lo, et al.
Nutrition, Metabolism, and Cardiovascular Diseases : NMCD|February 7, 2021
Early-life exposure to the Chinese famine and risk of carotid intima-media thickness increased in adulthoodLin Liu, Yu-Qing Huang, Kenneth Lo, et al.
Annals of Palliative Medicine|November 13, 2020
Derivation and validation of a simple nomogram prediction model for all-cause mortality among middle-aged and elderly general populationLin Liu, Kenneth Lo, Cheng Huang, et al.
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