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. 2022 Aug 12:2022:8005249.
doi: 10.1155/2022/8005249. eCollection 2022.

Dynamic Evaluation of Transformation Ability for Emergency Scientific Research Achievements Based on an Improved Minimum Distance-Maximum Entropy Combination Weighting Method: A Case Study of COVID-19 Epidemic Data

Affiliations

Dynamic Evaluation of Transformation Ability for Emergency Scientific Research Achievements Based on an Improved Minimum Distance-Maximum Entropy Combination Weighting Method: A Case Study of COVID-19 Epidemic Data

Qingmei Tan et al. Comput Intell Neurosci. .

Abstract

In the process of responding to major public health emergencies, the transformation of emergency scientific research results often faces many unfavourable factors such as limited resources, tight time, changes in needs, and lack of results. It is necessary to evaluate and analyze the ability to transform emergency scientific research results under public health emergencies, so as to rationally allocate emergency scientific research resources between subjects and regions, improve the efficiency of emergency results transformation, enhance emergency scientific research capabilities, and efficiently support incident prevention, control, and treatment. Starting from the patent level, this paper constructs an indicator system to evaluate the transformation ability of emergency scientific research results under major public health emergencies. It improves the minimum distance-maximum entropy combination weighting method to realize the static evaluation of transformation ability for emergency scientific research results from the perspective of patents, then constructs the dynamic evaluation model of transformation ability for emergency scientific research results in public health emergencies from the perspective of patents, and carries out the dynamic evaluation of the emergency scientific research achievements transformation ability of different subjects and different regions. We also improve the ER index, measure the static polarization effect of the transformation ability for regional emergency scientific research results, and consider the time factor to construct a dynamic polarization effect measurement model for the transformation ability of emergency scientific research achievement. Furthermore, this paper improves the measurement model of contribution degree to the polarization effect, and analyzes the contribution degree to polarization of the transformation ability for regional emergency scientific research results.

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Conflict of interest statement

The authors declare that they have no conflict of interest in this manuscript.

Figures

Figure 1
Figure 1
The logical frame structure diagram.
Figure 2
Figure 2
Static evaluation results of the transformation ability of emergency scientific research achievements (subject difference perspective).
Figure 3
Figure 3
Dynamic evaluation results of first-level indicators (subject difference perspective).
Figure 4
Figure 4
Static evaluation results of the transformation ability of emergency scientific research achievements (region difference perspective).
Figure 5
Figure 5
Dynamic evaluation results of first-level indicators (region difference perspective).
Figure 6
Figure 6
The static evaluation of transformation ability of emergency scientific research achievements in the 8 comprehensive economic zones.
Figure 7
Figure 7
Polarization degree of transformation ability of emergency scientific research achievements (nationwide).
Figure 8
Figure 8
Static polarization degree of transformation ability of emergency scientific research achievements (part of comprehensive economic zones).

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