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Hao Luo

Researcher at University of Hong Kong

Publications -  63
Citations -  1098

Hao Luo is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 13, co-authored 47 publications receiving 728 citations. Previous affiliations of Hao Luo include Uppsala University & Tsinghua University.

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Confirmatory factor analysis of ordinal variables with misspecified models

TL;DR: In this article, the authors apply the maximum likelihood method to fit structural equation models to ordinal variables in the social and behavioral sciences and find that the results are similar to ours.
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Short- and potential long-term adverse health outcomes of COVID-19: a rapid review.

TL;DR: The coronavirus disease 2019 (COVID-19) pandemic has resulted in millions of patients infected worldwide and indirectly affecting even more individuals through disruption of daily living and is important for policy makers to develop comprehensive strategies in providing resources and capacity in the healthcare system.
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What are the determinants of post-traumatic stress disorder: age, gender, ethnicity or other? Evidence from 2008 Wenchuan earthquake

TL;DR: Interventions designed to reduce PTSD among populations affected by the 2008 earthquake should focus on people without household incomes, those with damaged households and those who experienced the death of a family member following the devastating natural disaster.
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Neighborhood support network, perceived proximity to community facilities and depressive symptoms among low socioeconomic status Chinese elders

TL;DR: Neighborhood support networks and perceived proximity by walk to community facilities contribute significantly to depressive symptoms among low-income elders, and programs and policies that facilitate neighborhood support and commuting or promote facility accessibility may help ameliorate depressive symptoms common among low -income elders.
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Predicting Adverse Health Outcomes in Nursing Homes: A 9-Year Longitudinal Study and Development of the FRAIL-Minimum Data Set (MDS) Quick Screening Tool

TL;DR: The FRAIL-NH is a quick screening tool that can be used to identify frail and prefrail nursing home residents at risk of adverse health outcomes and can be applied using variables from the Minimum Data Set, allowing direct adoption in long-term care facilities already using this health information system.