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Patent analysis and research and development strategy of COVID-19 vaccines
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Ran WANG, Li DONG
Chinese Journal of New Drugs | 2023, 32(9) : 872 - 877
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Chinese Journal of New Drugs | 2023, 32(9): 872-877
Patent analysis and research and development strategy of COVID-19 vaccines
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Ran WANG, Li DONG
Affiliations
  • School of Business Administration, Shenyang Pharmaceutical University, Shenyang 110016, China
Published: 2023-05-15
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The aim of the article is to analyze the current research progress of COVID-19 vaccines in China and abroad based on patent data, and to make statistics on the main types and hot technologies, so as to provide reasonable suggestions for future vaccine research and development. Innojoy patent search engine and Baiten patent network were used to retrieve and analyze the patent data, and technology prediction was made according to the concept model of technology prediction. At present, the research hotspots of COVID-19 vaccines are mainly distributed in the technical fields related to the use of antigens, antibodies, peptides and genetic engineering. The research on COVID-19 vaccines in China mostly focuses on recombinant protein/epitope/polypeptide/subunit vaccines and nucleic acid vaccines, and the technical hotspots focus on antigen improvement techniques. The current research in the field of COVID-19 vaccines in the world and in China has made some progress, making the patent market active. The COVID-19 vaccine-related market and technical structure tend to enter a more developed stage.

coronavirus disease  /  vaccine  /  patent analysis  /  R&D trends
Ran WANG, Li DONG. Patent analysis and research and development strategy of COVID-19 vaccines[J]. Chinese Journal of New Drugs, 2023 , 32 (9) : 872 -877 .
Year 2023 volume 32 Issue 9
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  • Online Date:2026-03-05
  • Published:2023-05-15
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  • Accepted:2022-10-28
Affiliations
    School of Business Administration, Shenyang Pharmaceutical University, Shenyang 110016, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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