Your browser doesn't support javascript.
loading
Scientific knowledge mapping-based visual analysis of research trend in major disaster medical rescue / 中华医学图书情报杂志
Chinese Journal of Medical Library and Information Science ; (12): 44-48, 2017.
Article in Chinese | WPRIM | ID: wpr-712420
ABSTRACT
Objective To analyze the development trend of global and domestic major disaster medical rescue, pre-dict the development trend of key technologies in major disaster medical rescue, and put forward suggestions for the distribution of resources and technical training model in domestic major disaster medical rescue by investigating and comparing the researches in domestic major disaster medical rescue. Methods Data of disaster medical rescue were analyzed using the scientific knowledge mapping analysis tools ( TDA and VOSVIEWER) with the Web of Science Database-covered titles of papers on disaster medical rescue in 1995-2017 as the study objects. Results A total of 1333 titles of papers on disaster medical rescue were retrieved from the Web of Science Database, from which 89 high frequency co-occurrence key words in 7 major categories were selected. Conclusion The research on crush syndrome, posttraumatic stress syndrome, fracture, spinal cord injury, rehabilitation, casualty classification, and field hospital is advantageous over that on telemedicine, communication, pediatrics, personal identification and education in domestic major disaster medical rescue. Disaster rescue system should be established, research on disaster rescue concept, techniques and equipments should be deepened, and training model of emergency medical rescue should be expanded in our country.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Medical Library and Information Science Year: 2017 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Medical Library and Information Science Year: 2017 Type: Article