Identification of Research Priorities during the Covid-19 Pandemic
Implications for Its Management
Bibliographic Data
| ID | 15499750 |
|---|---|
| Authors | Jianhong Luo (0000-0001-6564-5043, Zhejiang Sci-Tech University, corresponding author), Miaomiao Chai (Zhejiang Sci-Tech University), Minjuan Chai (Zhejiang Sci-Tech University), Xuwei Pan (0000-0001-5583-4000, Zhejiang Sci-Tech University) |
| Year | 2021 |
| Volume | 18 |
| Issue | 24 |
| Pages | 13105-13105 |
| Publication date | 2021-12-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph182413105 |
| PMID | 34948715 |
| OpenAlex | W4200019736 |
| Language | EN |
| Citations received | 1 |
| References cited | 30 |
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
Business · Coronavirus disease 2019 (COVID-19 · Data science · Disease · Emergency management · Identification (biology · Infectious disease (medical specialty · Management science · Metric (unit · Operations research · Pandemic · Political science · Process (computing · Public health · Computer Science · COVID-19 diagnosis using AI · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Engineering · Medicine · Marketing
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |