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Background: The outbreak of coronavirus disease 2019 in Wuhan, Hubei Province, China has seriously affected people's mental health. We aimed to assess the psychological impact of the coronavirus disease 2019 on health care workers and non-health care workers in three different epidemic areas in China and to identify independent risk factors. Methods: We surveyed 1,020 non-health care workers and 480 health care workers in Wuhan, other cities in Hubei except Wuhan and other provinces in China except Hubei. Results: Health care workers in Hubei had higher levels of anxiety and depression than non-health care workers (p < 0.05), but there was no such difference in other provinces in China except Hubei (p > 0.05). Compared with other regions, health care workers in Wuhan was more anxious (p < 0.05), and this anxiety may be caused by concerns about occupational exposure and wearing protective clothing for a long time daily; health care workers in Hubei had more obvious depression (p < 0.05), which may be associated with long days participating in epidemic work and wearing protective clothing for a long time daily. Meanwhile, 62.5% of health care workers were proud of their work. The anxiety and depression of non-health care workers in Wuhan were also the most serious. Conclusions: In Wuhan, where the epidemic is most severe, levels of anxiety and depression seem to be higher, especially among health care workers. This information may help to better prepare for future events. [ABSTRACT FROM AUTHOR]

Background: The prognosis of patients with advanced schistosomiasis is poor. Pre-existing prognosis studies did not differentiate the causes of the deaths. The objectives were to evaluate the 2-year overall survival (OS) and advanced schistosomiasis-specific survival (ASS) in patients with advanced schistosomiasis after discharge through competing risk analysis and to build predictive nomograms.Methods: Data was extracted from a previously constructed database from Hubei province. Patients were enrolled from September 2014 to January 2015, with follow up to January 2017. OS and ASS were primary outcome measures. Nomograms for estimating 2-year OS and ASS rates after discharge were established based on univariate and multivariate Cox regression model and Fine and Gray's model. Their predictive performances were evaluated using C-index and validated in both internal and external validation cohorts.Results: The training cohort included 1487 patients with advanced schistosomiasis. Two-year mortality rate of the training cohort was 8.27% (123/1487). Competing events accounted for 26.83% (33/123). Older age, splemomegaly clinical classification, abnormal serum DBil, AST, ALP and positive HBsAg were significantly associated with 2-year OS. Older age, splemomegaly clinical classification, abnormal serum AST, ALP and positive HBsAg were significantly associated with 2-year ASS. The established nomograms were well calibrated, and had good discriminative ability, with a C-index of 0.813 (95% CI 0.803-0.823) for 2-year OS prediction and 0.834 (95% CI 0.824-0.844) for 2-year ASS prediction. Their predictive performances were well validated in both internal and external validation cohorts.Conclusion: The effective predictors of 2-year OS and ASS were discovered through competing risk analysis. The nomograms could be used as convenient predictive tools in clinical practice to guide follow-up and aid accurate prognostic assessment. [ABSTRACT FROM AUTHOR]