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COVID-19 Vaccines: Computational tools and Development.

Victor Chukwudi Osamor1,2, Excellent Ikeakanam1, Janet U Bishung1

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Computational tools accelerate vaccine development for emerging diseases like COVID-19. This analysis highlights their efficacy in suppressing viral spread and aiding vaccine creation.

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Area of Science:

  • Virology
  • Immunology
  • Computational Biology

Background:

  • The COVID-19 pandemic caused by the 2019 coronavirus presents a significant global health crisis.
  • As of December 2022, over 651 million cases and 6.6 million deaths were reported worldwide.
  • Over 13 billion vaccine doses have been administered globally, with 64.45% of the world's population vaccinated.

Purpose of the Study:

  • To analyze computational tools used in vaccine development.
  • To present evidence for the efficacy of computational tools in vaccine development.
  • To support the use of computational tools for emerging infectious diseases.

Main Methods:

  • Review and analysis of existing literature on computational tools in vaccine development.
  • Evaluation of evidence supporting the effectiveness of computational approaches.
  • Assessment of the role of these tools in addressing emerging diseases.

Main Results:

  • Computational tools have been instrumental in expediting the vaccine development process.
  • Evidence supports the efficacy of computationally developed vaccines in suppressing viral spread.
  • These tools are crucial for rapid response to emerging infectious disease threats.

Conclusions:

  • Computational tools are vital for efficient vaccine development, particularly for novel pathogens.
  • The application of computational methods accelerates the creation and deployment of effective vaccines.
  • Continued investment in and utilization of computational tools are essential for future pandemic preparedness.