BACKGROUND: On January 20, 2020, a new coronavirus epidemic with human-to-human transmission was officially declared by the Chinese government, which caused significant public panic in China. In light of the coronavirus disease 2019 outbreak, pregnant women may be particularly vulnerable and in special need for preventive mental health strategies. Thus far, no reports exist to investigate the mental health response of pregnant women to the coronavirus disease 2019 outbreak. OBJECTIVE: This study aimed to examine the impact of coronavirus disease 2019 outbreak on the prevalence of depressive and anxiety symptoms and the corresponding risk factors among pregnant women across China. STUDY DESIGN: A multicenter, cross-sectional study was initiated in early December 2019 to identify mental health concerns in pregnancy using the Edinburgh Postnatal Depression Scale. This study provided a unique opportunity to compare the mental status of pregnant women before and after the declaration of the coronavirus disease 2019 epidemic. A total of 4124 pregnant women during their third trimester from 25 hospitals in 10 provinces across China were examined in this crosssectional study from January 1, 2020, to February 9, 2020. Of these women, 1285 were assessed after January 20, 2020, when the coronavirus epidemic was publicly declared and 2839 were assessed before this pivotal time point. The internationally recommended Edinburgh Postnatal Depression Scale was used to assess maternal depression and anxiety symptoms. Prevalence rates and risk factors were compared between the pre-and poststudy groups. RESULTS: Pregnant women assessed after the declaration of coronavirus disease 2019 epidemic had significantly higher rates of depressive symptoms (26.0% vs 29.6%, P¼.02) than women assessed before the epidemic declaration. These women were also more likely to have thoughts of self-harm (P¼.005). The depressive rates were positively associated with the number of newly confirmed cases of coronavirus disease 2019 (P¼.003), suspected infections (P¼.004), and deaths per day (P¼.001). Pregnant women who were underweight before pregnancy, primiparous, younger than 35 years, employed full time, in middle income category, and had appropriate living space were at increased risk for developing depressive and anxiety symptoms during the outbreak. CONCLUSION: Major life-threatening public health events such as the coronavirus disease 2019 outbreak may increase the risk for mental illness among pregnant women, including thoughts of self-harm. Strategies targeting maternal stress and isolation such as effective risk communication and the provision of psychological first aid may be particularly useful to prevent negative outcomes for women and their fetuses.

No abstract

Background Medical care workers experienced unprecedented levels of workload and pressure since the outbreak of COVID-19 started from the end of 2019. Little is known about its exact impact on medical care workers and related factors in China. This study aims to identify the psychological impact of COVID-19 on medical care workers in China. Methods From February 23 th to March 5 th , 2020, a cross-sectional survey was conducted among 863 medical care workers from 7 provinces in China using standard questionnaires measuring adverse psychological outcomes including Impact of Event Scale-6 (IES-6), Depression, Anxiety and Stress Scale DASS and related psychosocial factors like perceived threat, social support and coping strategies. Exploratory Factor analysis was performed to identify the dimensions of perceived threat by study participants. Multivariate regression was used to examine the determinants of adverse psychological outcomes. Results Posttraumatic stress (PTS) were prevalent in this sample of health care professionals, and 40.2% indicated positive screens for significant posttraumatic stress disorder (PTSD) symptoms. The proportion of having mild to extremely severe symptoms of depression, anxiety and stress were 13.6%, 13.9% and 8.6%, respectively. Perceived threat and passive coping strategies were positively correlated to PTS and DASS scores, while perceived social support and active coping strategies were negatively correlated to DASS scores. Nurses were more likely to be anxious than others among medical care workers during the COVID-19 epidemic. Conclusions Adverse psychological symptoms were prevalent among medical care workers in China during the COVID-19 epidemic. Screening for adverse psychological outcomes and developing corresponding preventive measures would be beneficial in decreasing negative psychological outcomes. Background Medical care workers are usually at risk of experiencing a wide range of negative psychological impact following an emergency or disaster. Severe emotional stress had been reported during or after the infectious diseases outbreak among medical care workers in previous studies, including the 2003

This paper develops a theoretical model to understand the role of accounting conservatism in debt contracts. The optimal debt contract includes an accounting based covenant that gives the creditor the right to liquidate when accounting information reveals unfavorable news about the firm. I find that the demand for accounting conservatism depends on whether renegotiation occurs and if so, at what cost. When the covenant is not renegotiable or when renegotiation cost is sufficiently high, more conservative accounting actually reduces the efficiency of debt contracts. When renegotiation cost is moderate, on the other hand, more conservative accounting may increase the entrepreneur's welfare under certain conditions, especially for firms with less promising investment opportunities and for firms with higher liquidation values. Both are characteristics of "traditional industries" characterized by low growth and high level of tangible assets in place. When renegotiation is costless, the degree of accounting conservatism becomes irrelevant and the first best liquidation is always achieved. These results call for more cross-sectional examinations on the role of accounting conservatism in debt contracts in empirical studies. * This paper is based on the first chapter of my dissertation at Columbia University. I am especially indebted to Tim Baldenius for his guidance and encouragement of the project. I would also like to thank

Human beings have experienced a serious public health event as the new pneumonia , caused by the severe acute respiratory syndrome coronavirus has killed more than 3000 people in China, most of them elderly or people with underlying chronic diseases or immunosuppressed states. Rapid assessment and early warning are essential for outbreak analysis in response to serious public health events. This paper reviews the current model analysis methods and conclusions from both micro and macro perspectives. The establishment of a comprehensive assessment model, and the use of model analysis prediction, is very efficient for the early warning of infectious diseases. This would significantly improve global surveillance capacity, particularly in developing regions, and improve basic training in infectious diseases and molecular epidemiology.