Hongxia Yang
Biographic Data
| ID | 6891658 |
|---|---|
| NAME | Hongxia Yang |
| GIVEN NAMES | Hongxia |
| FAMILY NAME | Yang |
| SIGNATURE | YANG H |
| AFFILIATIONS | Central South University |
| ORCID | 0000-0002-3100-3082 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Visual impairment and blindness caused by retinal diseases
Background: Retinal disorders cause substantial visual burden globally. Accurate estimates of the vision loss due to retinal diseases are pivotal to inform optimal eye health care planning and allocation of medical resources. The purpose of this study is to describe the proportion of visual impairment and blindness caused by major retinal diseases in China. Methods: A nationwide register-based study of vitreoretinal disease covering all 31 provin…
The psychological impact of Covid-19 pandemic on healthcare workers
Background: As unprecedented and prolonged crisis, healthcare workers (HCWs) are at high risk of developing psychological disorders. We investigated the psychological impact of COVID-19 pandemic on HCWs. Methods: This cross-sectional study randomly recruited 439 HCWs in Hunan Cancer Hospital via a web-based sampling method from June 1st 2021 to March 31st 2022. Anxiety and depression levels were measured using Hospital Anxiety and Depression Scal…
Synthetic Priors that Merge Opinion from Multiple Experts
Public policy relies strongly upon expert opinion, especially in risk assessment for rare events. But expert opinion is often inconsistent, both within and between experts. We therefore develop a statistical model for the elicited opinions, and use that to borrow strength across the responses through an exchangeable prior. Several versions of that prior are considered; the most advanced uses covariate information on the experts to characterize th…
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Synthetic Priors that Merge Opinion from Multiple Experts
Public policy relies strongly upon expert opinion, especially in risk assessment for rare events. But expert opinion is often inconsistent, both within and between experts. We therefore develop a statistical model for the elicited opinions, and use that to borrow strength across the responses through an exchangeable prior. Several versions of that prior are considered; the most advanced uses covariate information on the experts to characterize th…
The psychological impact of Covid-19 pandemic on healthcare workers
Background: As unprecedented and prolonged crisis, healthcare workers (HCWs) are at high risk of developing psychological disorders. We investigated the psychological impact of COVID-19 pandemic on HCWs. Methods: This cross-sectional study randomly recruited 439 HCWs in Hunan Cancer Hospital via a web-based sampling method from June 1st 2021 to March 31st 2022. Anxiety and depression levels were measured using Hospital Anxiety and Depression Scal…
Visual impairment and blindness caused by retinal diseases
Background: Retinal disorders cause substantial visual burden globally. Accurate estimates of the vision loss due to retinal diseases are pivotal to inform optimal eye health care planning and allocation of medical resources. The purpose of this study is to describe the proportion of visual impairment and blindness caused by major retinal diseases in China. Methods: A nationwide register-based study of vitreoretinal disease covering all 31 provin…
Medicine (3 works) · Psychiatry (2 works) · Anxiety (1 work) · Artificial Intelligence (1 work) · Bayesian Methods and Mixture Models (1 work) · Bayesian probability (1 work) · Clinical Psychology (1 work) · Computer Science (1 work) · Covariate (1 work) · COVID-19 and healthcare impacts (1 work)