Litcius/Paper detail

COVID-19 Vaccines: Computational tools and Development

Victor Chukwudi Osamor, Excellent Ikeakanam, Janet Bishung, Theresa Nkechi Abiodun, Raphael Henshaw Ekpo

2023Informatics in Medicine Unlocked14 citationsDOIOpen Access PDF

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.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakOutbreakPopulationVaccine efficacyVirologyMedicineIntensive care medicineVaccinationComputer scienceEnvironmental healthInfectious disease (medical specialty)DiseasePathologyvaccines and immunoinformatics approachesSARS-CoV-2 and COVID-19 ResearchVaccine Coverage and Hesitancy