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      #lockdown: Network-Enhanced Emotional Profiling in the Time of COVID-19

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      Big Data and Cognitive Computing
      MDPI AG

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          Abstract

          The COVID-19 pandemic forced countries all over the world to take unprecedented measures, like nationwide lockdowns. To adequately understand the emotional and social repercussions, a large-scale reconstruction of how people perceived these unexpected events is necessary but currently missing. We address this gap through social media by introducing MERCURIAL (Multi-layer Co-occurrence Networks for Emotional Profiling), a framework which exploits linguistic networks of words and hashtags to reconstruct social discourse describing real-world events. We use MERCURIAL to analyse 101,767 tweets from Italy, the first country to react to the COVID-19 threat with a nationwide lockdown. The data were collected between the 11th and 17th March, immediately after the announcement of the Italian lockdown and the WHO declaring COVID-19 a pandemic. Our analysis provides unique insights into the psychological burden of this crisis, focussing on—(i) the Italian official campaign for self-quarantine (#iorestoacasa), (ii) national lockdown (#italylockdown), and (iii) social denounce (#sciacalli). Our exploration unveils the emergence of complex emotional profiles, where anger and fear (towards political debates and socio-economic repercussions) coexisted with trust, solidarity, and hope (related to the institutions and local communities). We discuss our findings in relation to mental well-being issues and coping mechanisms, like instigation to violence, grieving, and solidarity. We argue that our framework represents an innovative thermometer of emotional status, a powerful tool for policy makers to quickly gauge feelings in massive audiences and devise appropriate responses based on cognitive data.

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          Most cited references36

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          Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China

          Background: The 2019 coronavirus disease (COVID-19) epidemic is a public health emergency of international concern and poses a challenge to psychological resilience. Research data are needed to develop evidence-driven strategies to reduce adverse psychological impacts and psychiatric symptoms during the epidemic. The aim of this study was to survey the general public in China to better understand their levels of psychological impact, anxiety, depression, and stress during the initial stage of the COVID-19 outbreak. The data will be used for future reference. Methods: From 31 January to 2 February 2020, we conducted an online survey using snowball sampling techniques. The online survey collected information on demographic data, physical symptoms in the past 14 days, contact history with COVID-19, knowledge and concerns about COVID-19, precautionary measures against COVID-19, and additional information required with respect to COVID-19. Psychological impact was assessed by the Impact of Event Scale-Revised (IES-R), and mental health status was assessed by the Depression, Anxiety and Stress Scale (DASS-21). Results: This study included 1210 respondents from 194 cities in China. In total, 53.8% of respondents rated the psychological impact of the outbreak as moderate or severe; 16.5% reported moderate to severe depressive symptoms; 28.8% reported moderate to severe anxiety symptoms; and 8.1% reported moderate to severe stress levels. Most respondents spent 20–24 h per day at home (84.7%); were worried about their family members contracting COVID-19 (75.2%); and were satisfied with the amount of health information available (75.1%). Female gender, student status, specific physical symptoms (e.g., myalgia, dizziness, coryza), and poor self-rated health status were significantly associated with a greater psychological impact of the outbreak and higher levels of stress, anxiety, and depression (p < 0.05). Specific up-to-date and accurate health information (e.g., treatment, local outbreak situation) and particular precautionary measures (e.g., hand hygiene, wearing a mask) were associated with a lower psychological impact of the outbreak and lower levels of stress, anxiety, and depression (p < 0.05). Conclusions: During the initial phase of the COVID-19 outbreak in China, more than half of the respondents rated the psychological impact as moderate-to-severe, and about one-third reported moderate-to-severe anxiety. Our findings identify factors associated with a lower level of psychological impact and better mental health status that can be used to formulate psychological interventions to improve the mental health of vulnerable groups during the COVID-19 epidemic.
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            A Longitudinal Study on the Mental Health of General Population during the COVID-19 Epidemic in China

            Highlights • A significant reduction in psychological impact 4 weeks after COVID outbreak. • The mean scores of respondents in both surveys were above PTSD cut-offs. • Female gender, physical symptoms associated with a higher psychological impact. • Hand hygiene, mask-wearing & confidence in doctors reduced psychological impact. • Online trauma-focused psychotherapy may be helpful to public during COVID-19.
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              Mental health care for medical staff in China during the COVID-19 outbreak

              In December, 2019, an outbreak of a novel coronavirus pneumonia occurred in Wuhan (Hubei, China), and subsequently attracted worldwide attention. 1 By Feb 9, 2020, there were 37 294 confirmed and 28 942 suspected cases of 2019 coronavirus disease (COVID-19) in China. 2 Facing this large-scale infectious public health event, medical staff are under both physical and psychological pressure. 3 To better fight the COVID-19 outbreak, as the largest top-class tertiary hospital in Hunan Province, the Second Xiangya Hospital of Central South University undertakes a considerable part of the investigation of suspected patients. The hospital has set up a 24-h fever clinic, two mild suspected infection patient screening wards, and one severe suspected infection patient screening ward. In addition to the original medical staff at the infectious disease department, volunteer medical staff have been recruited from multiple other departments. The Second Xiangya Hospital—workplace of the chairman of the Psychological Rescue Branch of the Chinese Medical Rescue Association—and the Institute of Mental Health, the Medical Psychology Research Center of the Second Xiangya Hospital, and the Chinese Medical and Psychological Disease Clinical Medicine Research Center responded rapidly to the psychological pressures on staff. A detailed psychological intervention plan was developed, which mainly covered the following three areas: building a psychological intervention medical team, which provided online courses to guide medical staff to deal with common psychological problems; a psychological assistance hotline team, which provided guidance and supervision to solve psychological problems; and psychological interventions, which provided various group activities to release stress. However, the implementation of psychological intervention services encountered obstacles, as medical staff were reluctant to participate in the group or individual psychology interventions provided to them. Moreover, individual nurses showed excitability, irritability, unwillingness to rest, and signs of psychological distress, but refused any psychological help and stated that they did not have any problems. In a 30-min interview survey with 13 medical staff at The Second Xiangya Hospital, several reasons were discovered for this refusal of help. First, getting infected was not an immediate worry to staff—they did not worry about this once they began work. Second, they did not want their families to worry about them and were afraid of bringing the virus to their home. Third, staff did not know how to deal with patients when they were unwilling to be quarantined at the hospital or did not cooperate with medical measures because of panic or a lack of knowledge about the disease. Additionally, staff worried about the shortage of protective equipment and feelings of incapability when faced with critically ill patients. Many staff mentioned that they did not need a psychologist, but needed more rest without interruption and enough protective supplies. Finally, they suggested training on psychological skills to deal with patients' anxiety, panic, and other emotional problems and, if possible, for mental health staff to be on hand to directly help these patients. Accordingly, the measures of psychological intervention were adjusted. First, the hospital provided a place for rest where staff could temporarily isolate themselves from their family. The hospital also guaranteed food and daily living supplies, and helped staff to video record their routines in the hospital to share with their families and alleviate family members' concerns. Second, in addition to disease knowledge and protective measures, pre-job training was arranged to address identification of and responses to psychological problems in patients with COVID-19, and hospital security staff were available to be sent to help deal with uncooperative patients. Third, the hospital developed detailed rules on the use and management of protective equipment to reduce worry. Fourth, leisure activities and training on how to relax were properly arranged to help staff reduce stress. Finally, psychological counsellors regularly visited the rest area to listen to difficulties or stories encountered by staff at work, and provide support accordingly. More than 100 frontline medical staff can rest in the provided rest place, and most of them report feeling at home in this accomodation. Maintaining staff mental health is essential to better control infectious diseases, although the best approach to this during the epidemic season remains unclear.4, 5 The learning from these psychological interventions is expected to help the Chinese government and other parts of the world to better respond to future unexpected infectious disease outbreaks.
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                Author and article information

                Journal
                Big Data and Cognitive Computing
                BDCC
                MDPI AG
                2504-2289
                June 2020
                June 16 2020
                : 4
                : 2
                : 14
                Article
                10.3390/bdcc4020014
                f0f2fec8-d2f5-4f5c-9ffa-6aaea8dce242
                © 2020

                https://creativecommons.org/licenses/by/4.0/

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