Exploring time evolution characteristics of the collaborative mode in emergency information release of public health emergencies

A network analysis of response to Covid-19 from the central government of China

Datos Bibliográficos

ID22077826
AutoresJida Liu (0000-0003-2985-5048, Harbin Institute of Technology), Yuwei Song (0009-0003-1091-5458, Harbin Institute of Technology), Shi An (0009-0003-6928-6895, Harbin Institute of Technology), Changqi Dong (0000-0002-2806-6824, Harbin Institute of Technology, autor de correspondencia), Chenxi Lian (Harbin Institute of Technology, autor de correspondencia)
Año2022
Volumen10
Páginas970514-970514
Fecha de publicación2022-08-29
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.970514
PMID36106165
OpenAlexW4293426082
IdiomaEN
Citas recibidas5
Referencias citadas44

Emergency information release during public health emergencies is a governance measure to slow down the spread of the epidemic and guide the public in scientific protection. Because of the uncertainty and life-cycle characteristics of public health emergencies, emergency information release represents the process of time dynamics. At present, it is an inevitable trend to establish a collaborative mechanism for emergency information release of public health emergencies to improve the release efficiency and respond to public demand. To determine time evolution characteristics of organizational collaboration in emergency information release, this study took the response to COVID-19 from the central government of China as an example and conducted research based on social network analysis. Based on information from COVID-19-related press conferences held by China's central government, the emergency information release collaborative networks (EIRCNs), and Emergency Organizations-Emergency Information Release Matters (EOs-EIRMs) 2-mode network were constructed. With the time evolution, the tightness, convergence, stability, and connectivity of EIRCNs in public health emergencies presented the process of lowering and then raising. At different stages, the core emergency organization (EO) nodes in EIRCNs continued to maintain a certain degree of activity. Their dynamic processes showed the characteristics of diversification rather than homogeneity. The time evolution of emergency information release matters (EIRMs) reflected the dynamic adjustment of the government's prevention and control measures and responded to the diversification of the public's understanding and protection needs during different stages of the COVID-19 pandemic. The study further examined the driving factors and implementation mechanism of the time evolution characteristics of the collaborative mode of emergency information release. The implementation of EIRMs at different stages had different resource requirements, which were usually achieved by introducing new EOs (Adding resource increment) or increasing the collaborative frequencies among EOs (Activating resource stock). In addition, further research prospects and feasibility interpretation were proposed

Business · Corporate governance · Economic growth · Economics · Emergency management · Medical emergency · Public health · Community Health and Development · Crime Patterns and Interventions · Disaster Management and Resilience · Medicine · Nursing · Marketing