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.

Zhou, Yuye; Xu, Jiangang; Yin, Maosen; Zeng, Jun; Ming, Haolin; Wang, Yiwen

Zhou, Yuye; Xu, Jiangang; Yin, Maosen; Zeng, Jun; Ming, Haolin; Wang, Yiwen.

Afiliação

Zhou Y; School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China.
Xu J; School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China.
Yin M; School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China.
Zeng J; School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China.
Ming H; School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China.
Wang Y; School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China.

Int J Environ Res Public Health ; 19(18)2022 09 08.

Article em En | MEDLINE | ID: mdl-36141590

Assuntos

COVID-19; Mídias Sociais; Atitude; COVID-19/epidemiologia; China/epidemiologia; Cidades/epidemiologia; Análise de Dados; Humanos; Pandemias/prevenção & controle

Palavras-chave

COVID-19 pandemic; mental health resilience; public sentiment; social media data; spatial-temporal pattern evolution

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mídias Sociais / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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