Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 7th International Conference on Economic Management and Green Development
Series Vol. 28 , 10 November 2023
Open
Access | Article
Impact of IP Exemptions for COVID-19 Vaccines on Vaccinated Populations in Less Developed Countries
* Author to whom correspondence should be addressed.
Abstract
Since the outbreak of the COVID-19 in 2020, global economic growth and public health have been greatly impacted. On the one hand, the epidemic has disrupted global supply chains, affecting the economic stability of various countries, and increased the vulnerability of the global economy. On the other hand, the epidemic has exposed the rapid spread of epidemic diseases around the world by globalization, which has become a systemic risk.As one of the best solutions to prevent the spread of large-scale diseases in the greatest public range in the history of human medical development, vaccines have become the key to whether humans can defeat the COVID-19 as soon as possible. This paper shows the changes in the vaccinated population of less developed countries after the implementation of the COVID-19 vaccine exemption by establishing a mathematical model, and proposes that less developed countries should adjust their policies to help the vaccine exemption to vaccinate more people in their own countries according to existing international rules.
Keywords
exemptions, vaccine, resources, maximization
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 7th International Conference on Economic Management and Green Development
- ISBN (Print)
- 978-1-83558-077-6
- ISBN (Online)
- 978-1-83558-078-3
- Published Date
- 10 November 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/28/20231291
- Copyright
- 10 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited