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

Author:

Tradigo Giuseppe1ORCID,Das Jayanta Kumar2ORCID,Vizza Patrizia3ORCID,Roy Swarup4ORCID,Guzzi Pietro Hiram3ORCID,Veltri Pierangelo5ORCID

Affiliation:

1. Department of Computer Science, eCampus University, 22060 Novedrate, Italy

2. Longitudinal Studies Section, Translation Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA

3. Department of Surgical and Medical Science, Magna Græcia University, 88100 Catanzaro, Italy

4. Network Reconstruction & Analysis (NetRA) Lab, Department of Computer Applications, Sikkim University, Gangtok 737102, India

5. Department of Computer Science, Modelling, Electronics and Systems, University of Calabria, 87036 Rende, Italy

Abstract

Vaccination has been the most effective way to control the outbreak of the COVID-19 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 have come to learn the necessity of defining vaccination distribution strategies with regard to COVID-19 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, the 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-19 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.

Publisher

MDPI AG

Subject

Pharmacology (medical),Infectious Diseases,Drug Discovery,Pharmacology,Immunology

Reference93 articles.

1. The Coronavirus Pandemic 1 Year On—What Went Wrong?;Gostin;JAMA,2021

2. The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak–an update on the status;Guo;Mil. Med. Res.,2020

3. The COVID-19 vaccine development landscape;Le;Nat. Rev. Drug Discov.,2020

4. Data science in unveiling COVID-19 pathogenesis and diagnosis: Evolutionary origin to drug repurposing;Tradigo;Briefings Bioinform.,2021

5. Structural genetics of circulating variants affecting the SARS-CoV-2 spike/human ACE2 complex;Ortuso;J. Biomol. Struct. Dyn.,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3