Cheng Xi, Chen Qiyuan, Tang Li, Wu Yue, Wang Haoran, Wang Guoyan
Department of Digital Communication, Soochow University, Soochow, Jiangsu, 215123, People's Republic of China.
Department of Public Administration, Fudan University, Shanghai, 200433, People's Republic of China.
Risk Manag Healthc Policy. 2022 Feb 28;15:339-349. doi: 10.2147/RMHP.S351261. eCollection 2022.
The rapid response of COVID-19 scientific research played a significant role in pandemic prevention and control but failed to block the spread of the pandemic rapidly. Besides the complexity of the virus, the effectiveness of control and prevention measures, and other factors, the adaptation of the mode of conducting scientific research is also crucial for the prevention and control of COVID-19. In this study, a parallel model was used to explore the effects of the rapid scientific response on COVID-19 to assess why pandemics continue to spread under rapid response.
This study presents the response of scientific research based on country/region and publication dimensions after analyzing COVID-19 studies in the Web of Science and PubMed databases. Co-occurrence analysis of items was used to determine the generation rate of COVID-19 research under different topics to identify the reflected innovation model.
More manifestations on rapid response of COVID-19 research, especially compared with the linear model of SARS research, showed that the COVID-19 research followed a parallel or concurrent innovation model.
Early multi-stakeholder partnership, convenient information sharing, and improved research competence promote the parallel model in COVID-19. Meanwhile, the uncertainty of the COVID-19 virus and the adverse effect of rapid response may limit the time efficiency of the parallel model. In conclusion, the rapid prevention and control of the pandemic cannot fully rely on scientific research but requires more combined effort under an uncertain global setting.
新冠疫情科研的快速响应在疫情防控中发挥了重要作用，但未能迅速阻断疫情传播。除了病毒的复杂性、防控措施的有效性等因素外，科研开展模式的适应性对新冠疫情防控也至关重要。本研究采用平行模型探讨科研快速响应对新冠疫情的影响，以评估在快速响应下疫情仍持续传播的原因。
本研究在分析科学网和PubMed数据库中的新冠疫情研究后，按国家/地区和发表维度展示了科研响应情况。采用项目共现分析来确定不同主题下新冠疫情研究的产生率，以识别所反映的创新模式。
新冠疫情科研快速响应的表现更为多样，尤其是与非典科研的线性模式相比，表明新冠疫情科研遵循平行或并发创新模式。
早期多利益相关方伙伴关系、便捷的信息共享和提高的研究能力促进了新冠疫情中的平行模式。同时，新冠病毒的不确定性和快速响应的不利影响可能会限制平行模式的时间效率。总之，疫情的快速防控不能完全依赖科研，而是需要在不确定的全球背景下更多的联合努力。
