Research on the collaborative evolution process of information in public health emergencies based on complex adaptive system theory and social network analysis: a case study of the COVID-19 pandemic.

Lv, Kun; Luo, Xingyu; Shan, Jiaoqiao; Guo, Yuntong; Xiang, Minhao

Lv, Kun; Luo, Xingyu; Shan, Jiaoqiao; Guo, Yuntong; Xiang, Minhao.

Afiliación

Lv K; School of Business, Ningbo University, Ningbo, China.
Luo X; School of Business, Ningbo University, Ningbo, China.
Shan J; School of International Trade and Economics, University of International Business and Economics, Beijing, China.
Guo Y; School of Business, Ningbo University, Ningbo, China.
Xiang M; School of Business, Ningbo University, Ningbo, China.

Front Public Health ; 11: 1210255, 2023.

Article en En | MEDLINE | ID: mdl-37818306

Asunto(s)

COVID-19; Humanos; COVID-19/epidemiología; Salud Pública; Urgencias Médicas; Pandemias; Red Social

Palabras clave

adaptive dynamics; collaborative networks; epidemic response; pandemic management; social interactions analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Qualitative_research Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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