Abstract
Planning for mass vaccination against SARS-Cov-2 is ongoing in many countries considering that vaccine will be available for the general public in the near future. Rapid mass vaccination while a pandemic is ongoing requires the use of traditional and new temporary vaccination clinics. Use of drive-through has been suggested as one of the possible effective temporary mass vaccinations among other methods. In this study, we present a machine learning model that has been developed based on a big dataset derived from 125K runs of a drive-through mass vaccination simulation tool. The results show that the model is able to reasonably well predict the key outputs of the simulation tool. Therefore, the model has been turned to an online application that can help mass vaccination planners to assess the outcomes of different types of drive-through mass vaccination facilities much faster.
Highlights
Since the COVID-19 pandemic started, efforts for vaccine development and production began in many different countries
This paper aims to use the advancements in simulation tools and artificial intelligence to develop an application that can help mass vaccination planners to quickly assess potential outputs of different drive-through mass vaccination clinics
The artificial intelligence (AI) discussed here was developed based on a big dataset derived from an existing drive-through mass vaccination simulation created by the authors [32]
Summary
Since the COVID-19 pandemic started, efforts for vaccine development and production began in many different countries. It is argued that an effective vaccine can be the best solution to end and minimize the impacts of the pandemic. While some countries have already started vaccine testing and production, it is estimated that approved vaccination solutions for large-scale implementation can be ready as soon as January 2021 or even earlier [1]. Once a vaccine becomes available, the challenge would be the vaccination of large numbers of people in a short period of time to minimize further human and economic impacts of the pandemic [2,3]. Considering that a vaccine will become available for the general public use in the near future, it is important to start planning ahead of time to be able to implement mass vaccination effectively and efficiently [4]. Access to mass vaccination modeling and simulation tools has become very important for public health units that are going to plan, manage and run different types of mass vaccination facilities
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