Public Risk Perception, Behavior Patterns, and Emotional Guidance Under Major Public Health Emergency

This research project, supported by the Beijing Natural Science Foundation Committee, involved a qualitative study concentrating on the public’s preventive actions and responses to major public health emergencies. We conducted in-depth interviews across China and meticulously analyzed the gathered data to enhance our research. My contributions to this study encompassed two primary areas:

1. Public Reaction to COVID-19:
   • Conducted a comprehensive search for COVID-19-related literature regarding public risk perception and coping behaviors, utilizing databases such as PubMed. Conducted quality assessments and extracted relevant content.
   • Employed Stata to perform meta-analysis, subgroup analysis, and meta-regression, summarizing the findings and identifying sources of heterogeneity within the included literature.
   • Executed sensitivity analyses and Egger’s tests to ensure the robustness of our research outcomes.
   • Consolidated the above findings and authored a paper as the first author. This paper received citations from the World Health Organization (WHO).
2. Healthcare Providers’ Responses during Public Health Emergencies:
   • Developed an interview protocol for interactions with healthcare providers and conducted interviews in Beijing to collect research materials.
   • Applied Colaizzi’s 7-step analysis method and utilized NVIVO for key information extraction.
   • Formulated a time-based risk perception model.
   • Contributed to the paper’s development process.