Background: Under the new circumstance of COVID-19 pandemic, a full cognition of hand injury patterns may help with the injury prevention of the factories and management of medical institutions. Methods: 38 patients were admitted to the orthopedics department with an emergent hand injury, were retrospectively collected from January 23th, 2020 to March 23,2020. Information about demographics, type of injury, location of the injury, side of the lesion, mechanism of the injury, place where injuries occurred, surgical management and outcome was collected. Results: The number of total emergency visits of hand injury during the outbreak of COVID-19 decreased 37% from the same period of last year, and during the work resumption it had achieved an increase of 25.7%. Most of the injured patients during the stage of COVID-19 outbreak were women (60%) with a mean age of 56.7, while in the stage of work resumption were men (82.1%) with a mean age of 47.4. Most of the injury occurred at work (60.7%), and machine injury was the most frequent injury mechanism (67.9%). Fingers were the most common injured part. The majority of the injuries were classi ed to be minor or moderate (90%) in the outbreak, and major (42.9%) in the work resumption. Conclusion: We found an increased number of hand injuries, especially machine injury during the period of people returning to work after the outbreak of COVID-19. Medical institutions should be aware of the pattern of hand injuries during this special time in order to prepare services accordingly.

Objective: The outbreak of the 2019 novel coronavirus disease (COVID-19) not only caused particularly large public health problems, but also caused great psychological distress, especially for medical staff. We aimed to investigate the prevalence rate of insomnia and to confirm the related social psychological factors among medical staff in hospitals during the COVID-19 outbreak.Method: Medical staff members in China were recruited, including frontline medical workers. The questionnaire, administered through the WeChat program, obtained demographic data and asked self-design questions related to the COVID-19 outbreak, insomnia/depressive/anxiety symptoms, and stress-related symptoms. We used a logistic regression analysis to examine the associations between sociodemographic factors and insomnia symptoms.Result: There were a total of 1,563 participants in our study. Five-hundred-and-sixty-four (36.1%) participants had insomnia symptoms according to the Insomnia Severity Index (ISI) (total score ≥ 8). A multiple binary logistic regression model revealed that insomnia symptoms were associated with an education level of high school or below (OR = 2.69, p = 0.042, 95% CI = 1.0-7.0), being a doctor (OR = 0.44, p = 0.007, 95% CI = 0.2-0.8), currently working in an isolation unit (OR = 1.71, p = 0.038, 95% CI = 1.0-2.8), is worried about being infected (OR = 2.30, p < 0.001, 95% CI = 1.6-3.4), perceived lack of helpfulness in terms of psychological support from news or social media with regard to COVID-19 (OR = 2.10, p = 0.001, 95% CI = 1.3-3.3), and having very strong uncertainty regarding effective disease control (OR = 3.30, p = 0.013, 95% CI = 1.3-8.5). Conclusion:Our study found that more than one-third of the medical staff suffered insomnia symptoms during the COVID-19 outbreak. The related factors included education level, an isolation environment, psychological worries about the COVID-19 outbreak, and being a doctor. Interventions for insomnia among medical staff are needed considering the various sociopsychological factors at play in this situation.