Network characteristics and stock liquidity:Evidence from the UK

This article examines the effect of the Engle-Granger (E-G) price spillover network characteristics on firm's stock liquidity with a longitudinal dataset of FTSE 350 from 2006 to 2021. We find that the subprime crisis, European debt sovereign crisis, British Brexit and COVID-19 caused dramatic network structure change. We also find that firms with higher centrality are likely to suffer from more or greater price shocks leading to lower stock liquidity. Finally, the robust of our results has also been identified, and a general framework for network characteristics and stock liquidity has been established to some extent.

Text mining of the media coverage of major public health emergencies: a case study of COVID-19

Objective: Based on the text analysis of COVID-19 media report, text mining was used to probe the trend of major public health emergencies and response of the government and social subjects in China.

Can urban prosperity aid in recovery?: The relationship between healthcare workers' mental health status and the city level during the COVID-19 epidemic.

The mental health of healthcare workers during epidemics is a complex topic. The outbreak of coronavirus disease 2019 (COVID-19) that occurred in late 2019 has become a global public health threat and provides an opportunity to investigate this topic. Based on a large-scale investigation of Chinese healthcare workers during the COVID-19 epidemic, the article tests the assumption that the socioeconomic level of a city affects the mental health status of healthcare workers. The result is interesting and important: the mental health status of this population differs based on the city level. Hospital level, hospital type and departments risk level were investigated separately. With regard to the degree of anxiety, depression and post-traumatic stress disorder (PTSD), there were obvious differences based on the city level: the negative mental health impacts increase with increasing city level, such that healthcare workers in first-tier cities have the least negative mental health impacts, while those in third-tier cities have the most. City level reflects the degree of urban development, resource richness, resident satisfaction, and positive social atmosphere. Urban prosperity may affect mental health.

Geographical distribution and prevalence of mental disorders among healthcare workers in China: A cross-sectional country-wide survey: A cross-sectional study to assess mental disorders of healthcare workers in China.

BACKGROUND: Reliable and detailed nationwide data on the prevalence and distribution of mental disorders among healthcare workers in China during the coronavirus disease 2019 (COVID-19) outbreak are scarce. METHODS: We did a cross-sectional online survey from March 2 to 2 April 2020 and a total of 19,379 healthcare workers from 25 provinces participated. Depression, anxiety and post-traumatic stress disorder (PTSD) were assessed by the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7) and PTSD Checklist for DSM-5 (PCL-5), respectively. RESULTS: The age-standardized prevalence of depression, anxiety and PTSD was 15.5%, 12.7% and 5.2%, respectively. Frontline workers had higher prevalence estimates than non-frontline workers (depression: 18.2% vs. 13.9%; anxiety: 14.7% vs. 11.6%; PTSD: 6.1% vs. 4.6%). Subgroups who were nurses, were married or had dependent children reported higher prevalence of depression, anxiety and PTSD. Despite of the large variations, the prevalence of mental disorders was lowest in East China, followed by Middle China, and highest in West China. CONCLUSION: Healthcare workers faced enormous stress not only from the direct risk presented by the COVID-19 outbreak, but also from the profound changes in their professional practice. Prevalence of adverse psychological outcomes has a significant association with geographically distribution of health resources and regional economic level. Sufficient medical resource may be a protective factor to mental health condition of healthcare personnel when such a public health emergency happened.

Maternal Mental Health Status and Approaches for Accessing Antenatal Care Information During the COVID-19 Epidemic in China: Cross-Sectional Study.

BACKGROUND: China was the first country in the world to experience a large-scale COVID-19 outbreak. The rapid spread of the disease and enforcement of public health measures has caused distress among vulnerable populations such as pregnant women. With a limited understanding of the novel, emerging infectious disease, pregnant women have sought ways to access timely and trusted health care information. The mental health status of pregnant women during this public health emergency, as well as how they responded to the situation and where and how they obtained antenatal care information, remain to be understood. OBJECTIVE: This study aimed to evaluate the mental health status of pregnant women during the COVID-19 epidemic in China by measuring their perceived stress, anxiety, and depression levels; explore the approaches used by them to access antenatal health care information; and determine their associations with maternal mental health status. METHODS: We conducted a web-based, cross-sectional survey to assess the mental health status of Chinese pregnant women by using the validated, Chinese version of Perceived Stress Scale, Self-Rating Anxiety Scale, and Edinburgh Depression Scale. We also collected information on the various approaches these women used to access antenatal care information during the early stage of the COVID-19 epidemic, from February 5 to 28, 2020. RESULTS: A total of 1873 pregnant women from 22 provinces or regions of China participated in the survey. The prevalence of perceived stress, anxiety, and depression among these participants was 89.1% (1668/1873; 95% CI 87.6%, 90.4%), 18.1% (339/1873; 95% CI 16.4%, 19.9%), and 45.9% (859/1873; 95% CI 43.6%, 48.1%), respectively. Hospitals' official accounts on the Chinese social media platforms WeChat and Weibo were the most popular channels among these pregnant women to obtain antenatal care information during the COVID-19 outbreak. Access to antenatal care information via the hospitals' official social media accounts was found to be associated with a significantly lower risk of perceived stress (adjusted odds ratio [aOR] 0.46, 95% CI 0.30-0.72; P=.001), anxiety (aOR 0.53, 95% CI 0.41-0.68; P<.001), and depression (aOR 0.73, 95% CI 0.59-0.91; P=.005). Access to health care information via hospital hotlines or SMS was found to be significantly associated with a lower risk of anxiety only (OR 0.77, 95% CI 0.60-0.98; P=.04). CONCLUSIONS: During the COVID-19 outbreak in China, pregnant women experienced high levels of perceived stress, anxiety, and depression. During such public health emergencies, mental health care services should be strengthened to reassure and support pregnant women. Specific information targeted at pregnant women, including information on how to cope in an emergency or major disease outbreak, developed and disseminated by health care institutions via social media platforms could be an effective way to mitigate mental health challenges and ensure epidemic preparedness and response in the future.

Characterizing News Report of the Substandard Vaccine Case of Changchun Changsheng in China: A Text Mining Approach.

Background: The substandard vaccine case of that broke out in July 2018 in China triggered an outburst of news reports both domestically and aboard. Distilling the abundant textual information is helpful for a better understanding of the character during this public event. Methods: We collected the texts of 2211 news reports from 83 mainstream media outlets in China between 15 July and 25 August 2018, and used a structural topic model (STM) to identify the major topics and features that emerged. We also used dictionary-based sentiment analysis to uncover the sentiments expressed by the topics as well as their temporal variations. Results: The main topics of the news report fell into six major categories, including: (1) Media Investigation, (2) Response from the Top Authority, (3) Government Action, (4) Knowledge Dissemination, (5) Finance Related and (6) Commentary. The topic prevalence shifted during different stages of the events, illustrating the actions by the government. Sentiments generally spanned from negative to positive, but varied according to different topics. Conclusion: The characteristics of news reports on vaccines are shaped by various topics at different stages. The inner dynamics of the topic and its alterations are driven by the interaction between social sentiment and governmental intervention.