A5114860804- Vaccine Coverage and Hesitancy
- Misinformation and Its Impacts
- Sentiment Analysis and Opinion Mining
- COVID-19 epidemiological studies
- COVID-19 and healthcare impacts
- SARS-CoV-2 and COVID-19 Research
- Public Relations and Crisis Communication
- Influenza Virus Research Studies
- Education and Work Dynamics
- Hate Speech and Cyberbullying Detection
- Disaster Management and Resilience
- Opinion Dynamics and Social Influence
- Data-Driven Disease Surveillance
- Radio, Podcasts, and Digital Media
- Global Health Care Issues
- Flood Risk Assessment and Management
- Media Studies and Communication
- Health disparities and outcomes
- Media Influence and Politics
- COVID-19 Impact on Reproduction
- COVID-19 Clinical Research Studies
- Digital Marketing and Social Media
- Chronic Disease Management Strategies
Beijing Normal University
2024
University of Ljubljana
2021-2024
Zhejiang Chinese Medical University
2023
Nanjing University of Posts and Telecommunications
2022
First People’s Hospital of Jingmen
2020
Chinese Center For Disease Control and Prevention
2020
Center for Disease Control
2020
Huazhong University of Science and Technology
2018
Southwest University
2007
Understanding the correlates of self-rated health (SRH) can help public professionals prioritize health-promotion and disease-prevention interventions. This study aimed to investigate association between multiple comorbidities global SRH age-comparative SRH. A total 512,891 participants aged 30–79 years old were recruited into China Kadoorie Biobank from ten regions 2004 2008. Multivariate logistic regression models used estimate odds ratios (ORs) for associations (including diabetes,...
The seasonal influenza vaccine coverage remains suboptimal among children even though guardians expressed high willingness to vaccinate their children. This study aimed determine the association between hesitancy and uptake facilitate vaccination; thus, bridging gap. A cross-sectional design, using stratified cluster random sampling, was conducted of 0–59-month-old Chinese from July October in 2019. structural equation model applied explore interrelationships factors including hesitancy,...
Introduction: On December 31, 2020, the Chinese government announced that domestic coronavirus disease-2019 (COVID-19) vaccines have obtained approval for conditional marketing and are free vaccination. This release drove attention of public intense debates on social media, which reflected attitudes to vaccine. study examines whether concerns COVID-19 changed after official announcement. Methods: article used big data analytics in research, including semantic network sentiment analysis. The...
Abstract Background There is currently a global outbreak of coronavirus disease 2019 (COVID-19),and its epidemic characteristics in the areas where has been successfully controlled are rarely reported. Objective Describe COVID-19 Jingmen,Hubei,introduce local prevention and control experience,and observe impact various measures on number new cases. Methods All patients diagnosed municipal districts Jingmen from January 12 to February 29,2020 were enrolled this study. We described...
The Chinese government refuted rumors on social media for infodemic management when COVID-19 outbroke. This study selected 80 accounts Sina Weibo and collected 501 valid anti-rumor posts with comments from 18 January to 29 February 2020. paper evaluated the effectiveness of rumor debunking public emotions reflected in comments. also examined influence different strategies, such as fact-checking, response modes, presentation forms, debunking. findings revealed that combined mode text could...
The COVID-19 pandemic has created an urgent need for volunteers to complement overwhelmed public health systems. This study aims explore Chinese people’s attitudes toward volunteerism amid the pandemic. To this end, we identify latent topics in volunteerism-related microblogs on Weibo, equivalent of Twitter using topic modeling analysis via Latent Dirichlet Allocation (LDA). further investigate sentiment generated by LDA, also conducted sample posts open-source natural language processing...
Floods have become the most prevalent natural disaster in world. Understanding emotional impact of floods on people helps reduce negative mass incidents and contributes to implementation prevention mitigation. This study collected online discussions related great flood middle lower reaches Yangtze River basin China 2020. Then, we obtained sentiments deep thoughts behind their sentiment through dictionary analysis LDA topic modeling, counting them according regions. The overall Internet users...
The COVID-19 pandemic has shown a high severity in terms of mortality, and to mitigate the impact pandemic, great deal reliance been placed on vaccines with defensive effects. In context transmission hazardous Omicron variant strains, vaccine popularization acceptance are very important ensure world health security. Social media can spread information increase public confidence vaccines.
In July 2021, breakthrough cases were reported in the outbreak of COVID-19 Nanjing, sparking concern and discussion about vaccine’s effectiveness becoming a trending topic on Sina Weibo. order to explore public attitudes towards vaccine their emotional orientations, we collected 1542 posts under through data mining. We set up four categories vaccines, used big analysis tool code manually checked coding results complete content analysis. The showed that 45.14% Weibo (n = 1542) supported...
Due to the low rate of influenza vaccination in China, this study explores factors influencing Chinese public's intentions. Based on technology acceptance model (TAM), builds a theoretical examine public intentions toward vaccination. We define media exposure and credibility as external variables perceived characteristics vaccines intermediate proposed model. A total 597 valid questionnaires were collected online study. Combined with structural equation modeling (SEM), SPSS 22.0 AMOS 17.0...
China has used broadcast for international communication in Africa since 1949, an important bridge connecting and Africa. As digital audio media, podcasts also serve on Africa-related topics. News media work as the intermediaries between public nation, news framing is significant to understand China-Africa relations. Regarding limitations of traditional analysis, this study a data-driven computational method, Analysis Topic Model Networks (ANTMN), examine Radio Internationals (CRI’s) Talk....
Abstract BackgroundThere were 75 local confirmed cases during the COVID-19 epidemic followed by an outbreak of Wuhan in Inner Mongolia. The aims our study to provide reference control measures and scientific information for supporting government decision-making serious infectious disease, remote regions with relatively insufficient medical resources like Mongolia.MethodsThe data published Internet summarized order describe epidemiological clinical characteristics patients COVID-19. basic...