Spatial-Temporal Pattern Evolution of Public Sentiment Responses to the COVID-19 Pandemic in Small Cities of China: A Case Study Based on Social Media Data Analysis

The impact of the COVID-19 pandemic on public mental health has become increasingly prominent. Therefore, it is of great value to study the spatial-temporal characteristics of public sentiment responses to COVID-19 exposure to improve urban anti-pandemic decision-making and public health resilience....

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Detalles Bibliográficos
Autores principales: Zhou, Yuye, Xu, Jiangang, Yin, Maosen, Zeng, Jun, Ming, Haolin, Wang, Yiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517633/
https://www.ncbi.nlm.nih.gov/pubmed/36141590
http://dx.doi.org/10.3390/ijerph191811306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517633/
https://www.ncbi.nlm.nih.gov/pubmed/36141590
http://dx.doi.org/10.3390/ijerph191811306

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