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Background: To determine an optimized treatment protocol during the COVID-19 epidemic for patients with closed fracture and delayed surgery.Methods: The epidemic data of three hospitals, randomly selected from different administrative regions of Wuhan, were analyzed retrospectively from 23 January to 31 March 2020. Changes in the number of confirmed cases per day (cumulative and new) of each region were tracked as a reflection of changing epidemic risk levels. The risk level map was drawn. The epidemic status, treatment protocols, and treatment efficiencies for patients with closed fracture in the three hospitals were compared.Results: Overall, 138 patients with closed fracture were admitted. Each hospital had established its own protocol, according to the initial perceived risk. Based on the risk level map, over the study period, the risk levels of the three regions changed independently and were not in sync. All patients recovered and were timely discharged. No staff member was detected with COVID-19.Conclusions: The COVID-19 risk level of each area is dynamic. To optimize medical resources, avoid cross-infection, and improve efficiency, changes in epidemic risk should be monitored. For patients with closed fracture, treatment protocols should be adjusted according to changes in epidemic risk. [ABSTRACT FROM AUTHOR]

Background. Previous studies recruited unrepresentative samples of Chinese patients with cataract and reported a wide range of prevalence of depressive symptoms in this patient population (18.0-89.7%). The present study determined the prevalence and correlates of depressive symptoms among a consecutive sample of Chinese patients with cataract treated in tertiary general hospitals. Methods. A total of 339 patients with cataract were consecutively selected from ophthalmology departments of two large general hospitals in Wuhan, China. Depressive symptoms were assessed with the Chinese Hospital Anxiety and Depression Scale. Logistic regression was used to identify factors that were associated with depression. Results. The prevalence of depressive symptoms was 23.9% (95% CI [19.4-28.4]%) among patients with cataract. Correlates for depressive symptoms include an education level of primary school and below (OR = 1.93, P = 0:038), marital status of ''others'' (OR = 3.15, P <0:001), poor family economic status (OR = 2.26, P = 0:010), nuclear cataract (OR = 4.32, P < 0:001), and mixed cataract (OR = 2.76, P = 0:017). Conclusions. Depressive symptoms are common among Chinese patients with cataract treated in large general hospitals. Patients who are poorly educated, have a marital status other than ''married'', have poor family economic status, and suffer from nuclear and mixed cataracts are at greater risk for depressive symptoms. [ABSTRACT FROM AUTHOR]

• Established an analytic workflow for energy use and solar potential at block-scale. • Evaluated the impact of urban morphology on energy use and solar potential. • H-shaped block saved 12.25% EUI with the highest energy-saving potential. • Tower block reduced energy use by 72.05% after the deployment of PV panels. • Proposed multiple regression models for predicting energy performance by morphology. Urban morphology is a major factor affecting building energy consumption and solar potential in the urban block. The aim of this research was to evaluate the impact of urban morphology on both building energy consumption and solar energy generation potential for university dormitory blocks in Wuhan. This paper proposed a classification method for dormitory blocks, calculated the building energy consumption and solar energy generation potential of 55 blocks, and analyzed the correlation between urban morphology and three energy performance indicators: Energy Use Intensity (EUI), Solar Energy Generation Intensity (SEGI) and Net Energy Use Intensity (NEUI). Multiple regression models were used to predict energy performance by urban morphological parameters. The results indicate that different block types could lead to up to 12.25% difference in EUI, and 35.85% significant difference in building NEUI with the deployment of photovoltaic (PV) panels. The EUI is mainly affected by three morphological parameters, which are Average length of block, Shape factor and Building density; while the SEGI and NEUI are mainly affected by Average height of block, Shape factor and Sky view factor. This study could serve as guidelines for planners and policymakers in campus planning and architectural design to improve building energy conservation at block-scale. [ABSTRACT FROM AUTHOR]