ArticleJournal of Industrial Information Integration2020
Preventing COVID-19 from the perspective of industrial information integration: Evaluation and continuous improvement of information networks for sustainable epidemic prevention.
Article in Journal of Industrial Information Integration, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- VOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Investigating the spatiotemporal characteristics and medical response during the initial COVID-19 epidemic in six Chinese cities.Scientific reports · 2024Article
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- Does university-industry collaboration improve firm productivity? Evidence from China.PloS one · 2024Article
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- The Evaluation of the Departmental Resources and Positions Within the Inter-Departmental Collaborative Networks: A Case Study on the Joint Prevention and Control Mechanism in China.Risk management and healthcare policy · 2023Article
- Dynamic risk spillover effect and path of risk transmission across industrial sectors in China during COVID-19 epidemic.PloS one · 2023Article
- The impact of healthcare industry convergence on the performance of the public health system: a geospatial modeling study of provincial panel data from China.Frontiers in public health · 2023Article
- COVID-19 health policy evaluation: integrating health and economic perspectives with a data envelopment analysis approach.The European journal of health economics : HEPAC : health economics in prevention and care · 2022Article
- Assessing the Capability of Government Information Intervention and Socioeconomic Factors of Information Sharing during the COVID-19 Pandemic: A Cross-Country Study Using Big Data Analytics.Behavioral sciences (Basel, Switzerland) · 2022Article
- Advanced data integration in banking, financial, and insurance software in the age of COVID-19.Software: practice & experience · 2022Article
- CoCross: An ICT Platform Enabling Monitoring Recording and Fusion of Clinical Information Chest Sounds and Imaging of COVID-19 ICU Patients.Healthcare (Basel, Switzerland) · 2022Article
- Enhancing engineering ethics education (EEE) for green intelligent manufacturing: Implementation performance evaluation of core mechanism of green intelligence EEE.Frontiers in psychology · 2022Article
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- Developing a Conceptual Partner Matching Framework for Digital Green Innovation of Agricultural High-End Equipment Manufacturing System Toward Agriculture 5.0: A Novel Niche Field Model Combined With Fuzzy VIKOR.Frontiers in psychology · 2022Article
- Prevention schemes for future fresh agricultural products (FAPs) supply chain: mathematical model and experience of guaranteeing the supply of FAPs during the COVID-19 pandemic.Journal of the science of food and agriculture · 2021Article
- New IT driven rapid manufacturing for emergency response.Journal of manufacturing systems · 2021Article
- IoT-based GPS assisted surveillance system with inter-WBAN geographic routing for pandemic situations.Journal of biomedical informatics · 2021Article
- Prevention schemes for future pandemic cases: mathematical model and experience of interurban multi-agent COVID-19 epidemic prevention.Nonlinear dynamics · 2021Article
- Vision of China's future urban construction reform: In the perspective of comprehensive prevention and control for multi disasters.Sustainable cities and society · 2021Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 is accelerating industrial information integration (III) for sustainable epidemic prevention and innovation design. It is important to emphasize that this interaction makes it reciprocal. To prevent COVID-19, the III of industrial sectors should be strengthened to encourage innovation for sustainable epidemic prevention. Accordingly, we studied the overall dynamic change trend of industrial sectors' information integration networks (IIN), the characteristics of individual IIN, and their influence on IIN performance. In the study, the gravity model and social network analysis were used to determine the variables of industrial sectors' information distance and quality, and to construct the IIN of industrial sectors. The results show that the overall relevance of the IIN of industrial sectors is low, and the network density fluctuates, with high network efficiency and poor stability. Two-way, strong correlation between industrial sectors is relatively low. The spillover effect of industrial sectors in the upstream of the industrial chain is poor, and it is difficult to have a strong information integration driving effect on the downstream industrial sectors. The interplate linkage of the IIN of industrial sectors is insufficient. Compared with point centrality and closeness, improvement of the betweenness centrality of industrial sectors can significantly improve IIN performance.
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