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Big Data Applications in Vaccinology

Big Data Applications in Vaccinology

Joseph E. Kasten
Copyright: © 2021 |Volume: 6 |Issue: 2 |Pages: 22
ISSN: 2379-738X|EISSN: 2379-7371|EISBN13: 9781799862994|DOI: 10.4018/IJBDAH.20210701.oa5
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MLA

Kasten, Joseph E. "Big Data Applications in Vaccinology." IJBDAH vol.6, no.2 2021: pp.59-80. http://doi.org/10.4018/IJBDAH.20210701.oa5

APA

Kasten, J. E. (2021). Big Data Applications in Vaccinology. International Journal of Big Data and Analytics in Healthcare (IJBDAH), 6(2), 59-80. http://doi.org/10.4018/IJBDAH.20210701.oa5

Chicago

Kasten, Joseph E. "Big Data Applications in Vaccinology," International Journal of Big Data and Analytics in Healthcare (IJBDAH) 6, no.2: 59-80. http://doi.org/10.4018/IJBDAH.20210701.oa5

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Abstract

The development of vaccines has been one of the most important medical and pharmacological breakthroughs in the history of the world. Besides saving untold lives, they have enabled the human race to live and thrive in conditions thought far too dangerous only a few centuries ago. In recent times, the development of the COVID-19 vaccine has captured the world’s attention as the primary tool to defeat the current pandemic. The tools used to develop these vaccines have changed dramatically over time, with the use of big data technologies becoming standard in many instances. This study performs a structured literature review centered on the development, distribution, and evaluation of vaccines and the role played by big data tools such as data analytics, datamining, and machine learning. Through this review, the paper identifies where these technologies have made important contributions and in what areas further research is likely to be useful.