Identification of Research Priorities during the COVID-19 Pandemic: Implications for Its Management.

Jianhong Luo,Xuwei Pan,Minjuan Chai

doi:10.3390/ijerph182413105

Abstract

Novel coronavirus disease 2019 (COVID-19) pandemic has had a great impact on global production and life in the past period. Countless researchers devoted themselves to rescuing patients and reducing its impact. Analyzing the literature published during the pandemic and identifying the research priorities is of great significance to quickly discover research gaps, rationally allocate scientific research resources, and promote the development of the global research platform. To understand the swing of research priorities during the pandemic, this paper proposed a research priorities identification framework for pandemic based on scientific literature text analysis. Moreover, a research priority metric model was proposed to measure the characteristics of research priorities, and the empirical analysis from COVID-19 scientific literature was conducted to identify the research priorities during the pandemic. As a result, the research priorities identified by the method proposed in this paper discovered the fine-grained dynamic characteristics along with the process in the pandemic outbreak, and based on this, the emergency scientific research response strategies were discussed to give implications for the public health emergency scientific research and management.

Highlights

Novel coronavirus disease 2019 (COVID-19) pandemic has had a great impact on global production and life in the past period
On 11 March 2020, the World Health Organization (WHO) said that the COVID-19 outbreak had reached the stage where it can be described as a pandemic
Research Priorities Metric and Assessment scientific research response strategies were formed, and fine-grained suggestions were put forward for the government, hospitals, and scientific research institutions, etc., so as to Overall Hotspot accelerate research in various fields to facilitate that those affected receive optimal care, Wesocial chose use negative matrix factorization (NMF)

Summary

Introduction

Novel coronavirus disease 2019 (COVID-19) pandemic has had a great impact on global production and life in the past period. Analyzing the literature published during the pandemic and identifying the research priorities is of great significance to quickly discover research gaps, rationally allocate scientific research resources, and promote the development of the global research platform. A research priority metric model was proposed to measure the characteristics of research priorities, and the empirical analysis from COVID-19 scientific literature was conducted to identify the research priorities during the pandemic. The research priorities identified by the method proposed in this paper discovered the fine-grained dynamic characteristics along with the process in the pandemic outbreak, and based on this, the emergency scientific research response strategies were discussed to give implications for the public health emergency scientific research and management. Scholars around the world are committed to developing clinical treatment measures to control the pandemic faster, reduce casualties, and minimize socio-economic impact. Argue that a rapid assessment of a dynamic research field such as COVID-19 requires an ijerph182413105

Results

Discussion

Conclusion