Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Strategies and Trends in COVID-19 Vaccination Delivery: What We Learn and What We May Use for Next Future

Version 1 : Received: 24 August 2023 / Approved: 25 August 2023 / Online: 25 August 2023 (07:30:25 CEST)

A peer-reviewed article of this Preprint also exists.

Tradigo, G.; Das, J.K.; Vizza, P.; Roy, S.; Guzzi, P.H.; Veltri, P. Strategies and Trends in COVID-19 Vaccination Delivery: What We Learn and What We May Use for the Future. Vaccines 2023, 11, 1496. Tradigo, G.; Das, J.K.; Vizza, P.; Roy, S.; Guzzi, P.H.; Veltri, P. Strategies and Trends in COVID-19 Vaccination Delivery: What We Learn and What We May Use for the Future. Vaccines 2023, 11, 1496.

Abstract

Vaccination has been the most effective way to control the outbreak of the Covid pandemic. The numbers and types of vaccines have reached considerable proportions, even if the question of vaccine procedures and frequency still needs to be resolved. We learn the necessity of defining a vaccination distribution strategies with regard to Covid that could be used for any future pandemics of similar gravity. In fact, vaccine monitoring implies the existence of a strategy that should be measurable in terms of input and output, based on a mathematical model, including death rates, spread of infections, symptoms, hospitalization and so on. This paper addresses the issue of vaccine diffusion and strategies for monitoring the pandemic. It provides a description of the importance and take up of vaccines and the links between procedures and the containment of Covid variants, as well as the long-term effects. Finally, the paper focuses on the global scenario in a world undergoing profound social and political change, with particular attention on current and future health provision. This contribution would represent an example of vaccination experiences which can be useful in other pandemic or epidemiological contexts.

Keywords

Vaccination strategy; Covid-19; epidemiology; vaccines distributions

Subject

Engineering, Bioengineering

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