Osamor, V. C. and Ikeakanam, Excellent Greatman and BISHUNG, JANET UGUMMAYE and Abiodun, Theresa Nkechi and Ekpo, Raphael Henshaw (2023) COVID-19 Vaccines: Computational tools and Development. Informatics in Medicine Unlocked, 37.
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Abstract
The 2019 coronavirus outbreak, also known as COVID-19, poses a serious threat to global health and has already had widespread, devastating effects around the world. Scientists have been working tirelessly to develop vaccines to stop the virus from spreading as much as possible, as its cure has not yet been found. As of December 2022, 651,918,402 cases and 6,656,601 deaths had been reported. Globally, over 13 billion doses of vaccine have been administered, representing 64.45% of the world’s population that has received the vaccine. To expedite the vaccine development process, computational tools have been utilized. This paper aims to analyze some computational tools that aid vaccine development by presenting positive evidence for proving the efficacy of these vaccines to suppress the spread of the virus and for the use of computational tools in the development of vaccines for emerging diseases.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | SARS-CoV-2 COVID-19 vaccines Vaccines Computational tools |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | nwokealisi |
| Date Deposited: | 20 Aug 2024 16:29 |
| Last Modified: | 20 Aug 2024 16:29 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/18387 |
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