How to Cite: Fatima, N., & Tripathi, M. M. (2022). A multi-criteria model for vaccine slot tracker using fuzzy logic. International Journal of Health Sciences, 6(S2), 12540–12555. https://doi.org/10.53730/ijhs.v6nS2.8327 International Journal of Health Sciences ISSN 2550-6978 E-ISSN 2550-696X © 2022. Manuscript submitted: 09 March 2022, Manuscript revised: 18 April 2022, Accepted for publication: 27 May 2022 12540 A multi-criteria model for vaccine slot tracker using fuzzy logic Nausheen Fatima Integral University, Lucknow (UP), India Corresponding author email: nausheenfatima7861@gmail.com Manish Madhava Tripathi Integral University, Lucknow (UP), India Email: mmt@iul.ac.in Abstract---The breakout of Covid has occurred in recent years which had a major impact worldwide. In this scenario, vaccination has proven to be highly successful. In a nation like India, vaccination of a big population is a difficult task. Individuals wait for hours for a vaccination slot, yet they are still unable to obtain one because information about the vaccination location and opening hours is unavailable. For this topic, we suggested a Vaccination Tracker algorithm that provides users with real-time information on vaccine openings, locations, available capacity, minimum age limit, Pin code and name of the organization, making vaccination registration a breeze. In this paper a model based of Multi-criteria Fuzzy technique is propose in which probability is generated to assign priority to the registered candidates. On the basis of the priority: Very High, High, Medium, Low, and Very low, the slot of the individual is informed regarding the availability of slots and slot is booked on the basis of the registration details. After successful vaccination, the countdown is started for the next dose, respectively. Keywords---COVID-19, economy, vaccination, application, healthcare, pandemic, fuzzy logic, slot. Introduction The world is currently undergoing a pandemic as a result of the widespread transmission of COVID-19, a novel coronavirus disease. It is an acute respiratory condition caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which was first discovered in late 2019 in Wuhan, China's Hubei province [1]. In March 2020, the World Health Organization (WHO) declared the COVID-19 a pandemic disease due to the exponential rate of infection and death.