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Hybrid Multi-Criteria Decision Making Approach to Ranking COVID-19 Vaccines
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 34 |
| Year of Publication: 2021 |
| Authors: Randa Mohamed, Amal Rashed, Doaa Mohamed |
10.5120/ijca2021921727
|
Randa Mohamed, Amal Rashed, Doaa Mohamed . Hybrid Multi-Criteria Decision Making Approach to Ranking COVID-19 Vaccines. International Journal of Computer Applications. 183, 34 ( Oct 2021), 5-11. DOI=10.5120/ijca2021921727
Abstract
The coronavirus is influencing more than 219 countries and territories. A coronavirus is a type of virus, there are many kinds, and some cause disease. A coronavirus identified in 2019, SARS-CoV-2, has affected a pandemic of respiratory illness, called COVID-19. The whole world is seeking to manufacture vaccines to curb this epidemic. Vaccination is a harmless and active way to elude disease and save lives. Without vaccines, we are at risk of thoughtful disease and disability from diseases like measles, meningitis, pneumonia, tetanus, and polio. Many of these diseases can be life-threatening. World Health Organization(WHO) evaluates that vaccines protect between 2 and 3 million lives every year. There are three COVID-19 vaccines for which certain national regulatory authorities have authorized the use. In this paper we use Multi-criteria decision analysis (MCDA) hybrid technique to analysis and compare between three COVID-19 vaccines to select the best. We combine three Multi criteria decision (MCD methods. Three methods are Simple Additive Weighting (SAW), the Technique for Order or Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP), to classify the vaccines, after analysis three vaccines using MCD methods the result show the result shows that the order of vaccines are Pfizer then Johnson & Johnson’s then AstraZeneca/Oxford
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