Text recognition and analysis of network public opinion focus events of a major epidemic: a case study of "COVID-19” in Sina Microblogs

Identifying and analyzing the public's opinion of focal events during a major epidemic can help the government grasp the vicissitudes of network public opinion in a timely manner and provide the appropriate responses. Taking the COVID-19 epidemic as an example, this study begins by using Python-selenium to capture the original text and comment data related to COVID-19 from Sina Microblog's CCTV News from Jan. 19, 2020, to Feb. 20, 2020. The study subsequently uses a manual interpretation method to classify the Weibo content and analyzes the shifting focus phenomena of network public opinion based on the moving average method. Next, the study uses an enhances TF-IDF to extract keywords from the Weibo comment and uses the keywords to construct a word co-occurrence network. The results show that during the epidemic, the network public opinion focus shifted significantly over time. With the progression of the epidemic, the focus of network public opinion diversified, and various categories stabilized. Compared to simple keyword and text classification recognition focus problems, the proposed model, which is highly accurate, identified multiple network public opinion focus problems and described the core contradictions of the different focus problems.

Text recognition and analysis of network public opinion focus events of a major epidemic: a case study of "COVID-19" in Sina Microblogs.

Identifying and analyzing the public's opinion of focal events during a major epidemic can help the government grasp the vicissitudes of network public opinion in a timely manner and provide the appropriate responses. Taking the COVID-19 epidemic as an example, this study begins by using Python-selenium to capture the original text and comment data related to COVID-19 from Sina Microblog's CCTV News from Jan. 19, 2020, to Feb. 20, 2020. The study subsequently uses a manual interpretation method to classify the Weibo content and analyzes the shifting focus phenomena of network public opinion based on the moving average method. Next, the study uses an enhances TF-IDF to extract keywords from the Weibo comment and uses the keywords to construct a word co-occurrence network. The results show that during the epidemic, the network public opinion focus shifted significantly over time. With the progression of the epidemic, the focus of network public opinion diversified, and various categories stabilized. Compared to simple keyword and text classification recognition focus problems, the proposed model, which is highly accurate, identified multiple network public opinion focus problems and described the core contradictions of the different focus problems.

Relationship between nurses' psychological capital and satisfaction of elderly cancer patients during the COVID-19 pandemic.

Introduction: As a special vulnerable group, the physical and mental health of elderly cancer patients has attracted much attention. However, few studies have focused on the impact of nurses' mental state on the mental health of elderly cancer patients during the COVID-19 pandemic. In response to this literature gap, this study aims to explore the impact of nurses' psychological capital on the satisfaction of elderly cancer patients. The job demands-resources model (JD-R) is used to further investigate how work engagement and job resources of nurses affect this relationship. Methods: The questionnaire survey was used to collect data, participants included 230 elderly cancer patients and their nurses from a tertiary first-class cancer hospital in China. Partial least squares structural equation modeling (PLS-SEM) was conducted with SmartPLS 3.3.9. Results: Nurses' psychological capital has a significant positive impact on the satisfaction of elderly cancer patients during the COVID-19 pandemic. Nurses' work engagement is an important mechanism for their psychological capital to affect the satisfaction of elderly cancer patients. In addition, nurses' job resources positively moderate the relationship between their psychological capital and work engagement. The positive relationship between psychological capital and work engagement of nurses is stronger when they have abundant job resources. Discussion: These findings suggest that healthcare organizations should take the psychological capital of medical staff as an important means to improve their competitive advantage. It can improve the quality of medical services to obtain good performance by effectively developing and managing the psychological capital of medical staff. In addition, healthcare organizations should recognize the importance of providing adequate job resources for medical staff.

All Normal Occupations are Sunny and Joyful: Qualitative Analysis of Thai Ladyboys’ Occupational Wellbeing

Background As the modern social division of labour is becoming increasingly specified, various occupations have emerged. Ladyboy, as a special occupation, is receiving a surging amount of attention from society and academia. Ladyboy is an individual who is engaged in performing with female psychology but still retains male sexual characteristics, and this special characteristic has an impact on their occupational identity and occupational satisfaction. Methods This study investigated the current situation of ladyboys’ occupational wellbeing through interviews, and analyzed and coded the interview texts via Nvivo 11.0 guided by Grounded Theory. Results Through open coding, axial coding, and selective coding, the study found that ladyboys’ occupational wellbeing was generally high, and they were still full of love and confidence in their occupation even in the context of the COVID-19 epidemic. Conclusion Concurrently, the study also found that for the profession of ladyboy, there are still many areas for improvement in society, such as the lack of supporting facilities, absence of supportive and protective policies, and unemployment livelihood security, etc. Feasible measures were then proposed for these specific problems.

[Reuse process of positive pressure powered air-filter protective hoods].

OBJECTIVE: To establish reuse process of positive pressure powered air-filter protective hoods during coronavirus disease 2019 (COVID-19) epidemic. METHODS: The procedure of pretreatment, storage, recovery, cleaning, disinfection and sterilization process of positive pressure powered air-filter protective hoods, which were used in the treatment of COVID-19 infection patients was established in Central Sterile Supply Department of the hospital. The cleaning and disinfection effects of the protective hoods after treatment were examined by magnifying glass method, residual protein detection method, real-time PCR, and agar pour plate method. RESULTS: Twenty five used protective hoods underwent totally 135 times of washing, disinfecting and sterilizing procedures. After washing, all the protein residue tests and COVID-19 nucleic acid tests showed negative results. After sterilizing, all the protective hoods met sterility requirement. All the tested protective hoods were undamaged after reprocessing. CONCLUSIONS: The established reuse procedures for used positive pressure powered air-filter protective hoods are safe.

[Comparison of three medical goggle sterilizing approaches].

OBJECTIVE: To compare three sterilizing methods for reusable medical goggles. METHODS: A total of 180 medical goggles of the same brand and same model were randomly divided into three groups. In group A the goggles were first soaked with 2000 mg/L chlorine-containing disinfectant and then cleaned manually; goggles in other two groups were sterilized using pre-programmed automatic spray cleaning and disinfection machine, the disinfection program was set to 90 ℃ for 5 min in group B and 70 ℃ for 30 min in group C. The quality of the sterilization was monitored by visual inspection with luminous magnifying glass and residual protein detection assay. User satisfaction on cleanliness of medical goggles, clarity of mirror surface and suitability of elastic bands was investigated with questionnaire survey. RESULTS: The qualification rates verified by visual inspection were 82.4%, 84.6%and 98.3%in group A, B and C, respectively, the qualification rate in group C was significantly higher than those in group B and group C (all P<0.05). The qualification rates verified by residual protein detection assay were 96.7%, 100.0%and 100.0%in group A, B and C, respectively (P>0.05). A total of 54 questionnaires were submitted for the survey. The satisfaction rates were 100.0%, 90.7%and 94.4% for cleanliness of medical goggles, clarity of mirror surface and suitability of elastic bands, respectively. CONCLUSIONS: Machinery sterilization set 70 ℃ for 30 min has better cleaning and sterilizing effects for reusable medical goggles.