| Autor: |
Yeong Kin Teoh, Suzanawati Abu Hasan, Nor Azriani Mohamad Nor, Anas Fathul Ariffin, Joo Ann Lee, Nur Afifah Zabidi |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Journal of Computing Research and Innovation, Vol 9, Iss 2 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2600-8793 |
| DOI: |
10.24191/jcrinn.v9i2.454 |
| Popis: |
As COVID-19 enters the endemic phase, public reluctance towards getting COVID-19 booster vaccinations presents a challenge for personal and public health. This hesitation increases the personal vulnerability to the virus and makes it more difficult to control the spread of COVID-19 across the community. Thus, this challenge underlines the need for alternate non-pharmaceutical preventive strategies. This study addresses the need by identifying and ranking the non-pharmaceutical preventive measures using the Fuzzy Analytic Hierarchy Process (FAHP) method. The FAHP approach utilises fuzzy logic to prioritise criteria and alternatives, offering a comprehensive assessment of preventative measures. We presented a case study where three experts were invited to rate three criteria and four alternatives using a nine-point scale with fuzzy numbers. The results indicate that alternative A2 (social distancing) emerges as the most effective measure, while surprisingly, alternative A3 (mask-wearing) is the least preferred. These rankings highlight the importance of effective non-pharmaceutical interventions to raise awareness and encourage people to take precautions in their daily lives during the endemic phase. Additionally, these findings provide the authorities with a valuable benchmark against future pandemics. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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