This paper focuses on the online anti-epidemic resource allocation between demanders and suppliers considering the epidemic spatial spread. The spatial crowdsourcing with sharing platform is an effective way for anti-epidemic resource allocation, and a reasonable online matching strategy can improve the efficiency of resource utilization. The paper proposes online matching heuristic strategy (HSTRF-LRLUF strategy) and designs an online batch bilateral matching algorithm for anti-epidemic resources, which considers the impact of grid spatial aggregation and diffusion risk of emerging infectious diseases. The population distribution within grids and the commuting patterns between grids can provide decision support for selecting online matching strategies of anti-epidemic resources. A larger matching time window focusing on the spatial transmission risk (TR) of the epidemic can obtain better matching results. However, with a smaller matching time window, the decision makers can focus on spatial agglomeration risk (OR) or spatial diffusion risk (IR). The paper effectively combines the spatial crowdsourcing model with the anti-epidemic resource allocation to achieve the allocation of emergency resources to individuals. A combined anti-epidemic resource online matching heuristic strategies is designed from the spatial agglomeration risk and the spatial diffusion risk. Decision makers can dynamically adjust the online matching strategies of anti-epidemic resources by evaluating the spatial agglomeration risk, the spatial diffusion risk, and the overall spatial transmission risk based on the real-time spread of the epidemic and the supply of anti-epidemic resources.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11489585 | PMC |
| http://dx.doi.org/10.1038/s41598-024-75534-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Joining Hands to Manage Transboundary Crises: A Comparative Evaluation of Policy Collaboration for Epidemic Prevention in China during SARS and COVID-19.
Disaster Med Public Health Prep
December 2024
School of International Affairs and Public Administration, Ocean University of China, Qingdao, China.
Increasing transboundary crises necessitate the development of crisis management capabilities that transcend boundaries. In such situations, inter-governmental and cross-functional collaboration has become a common practice to address the complexities of governance challenges. This study employs Social Network Analysis to examine the structure, function, and evolution of policy collaboration networks in China in response to COVID-19 and SARS.
View Article and Find Full Text PDFOnline bilateral matching methodology for anti-epidemic resources based on spatial transmission risk.
Sci Rep
October 2024
School of Management, Institute of Finance Engineering, School of Emergency Management, Jinan University, Guangzhou, 510632, China.
This paper focuses on the online anti-epidemic resource allocation between demanders and suppliers considering the epidemic spatial spread. The spatial crowdsourcing with sharing platform is an effective way for anti-epidemic resource allocation, and a reasonable online matching strategy can improve the efficiency of resource utilization. The paper proposes online matching heuristic strategy (HSTRF-LRLUF strategy) and designs an online batch bilateral matching algorithm for anti-epidemic resources, which considers the impact of grid spatial aggregation and diffusion risk of emerging infectious diseases.
View Article and Find Full Text PDFContext: Man-made disasters and natural disasters bring huge losses to human life and property. High-quality nursing teams play an important role in reducing casualty and disability rates in disaster areas, reducing the prognosis of the injured, accelerating community recovery and even promoting social rehabilitation. This work aimed to analyze the current situation and influencing factors of disaster emergency rescue (DER) of nurses in Hunan Province by surveying their knowledge, attitude, and practice of DER in Grade A hospitals.
View Article and Find Full Text PDFHematologic health services and practical characteristics: report of a nationwide survey among Chinese hematologists.
BMC Health Serv Res
March 2024
National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Background: In the past 40 years, China has experienced tremendous economic development, but the current situation of hematologists has rarely been reported. A landscape survey of human resources is essential for healthcare development and policy formulation in the future.
Methods: The Chinese Society of Hematology initiated a survey of Chinese hematologists in mainland China for evaluating demographic and practice characteristics.
Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in China.
Front Public Health
January 2024
China North Industries Corporation, Beijing, China.
Introduction: In the wake of the COVID-19 outbreak, urban communities have emerged as the frontline defenders in epidemic prevention and control, providing the most effective means of curbing the spread of virus both inward and outward. This study attempts to explain the underlying factors and mechanisms that shape the community epidemic prevention and control capacity (CEPCC).
Methods: We adopted a resilience-based perspective and drew on a sample of 20 exemplary anti-epidemic communities in China.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!