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Paper Title

COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact"

Authors

Vinit Singh , Vikash Kumar , Aditya Kumar , Gautam Parmar , Nikhil Kumar Giri

Keywords

COVID-19; SARS-CoV-2; Vaccine development; mRNA vaccines; Viral vector vaccines; Protein subunit vaccines; Inactivated vaccines; Vaccine efficacy; Vaccine safety; Waning immunity; Variants of concern; Vaccine hesitancy; Vaccine distribution; Immunization strategies; Public health impact; Next-generation vaccines; Pandemic preparedness; Epidemiological data; Global health

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has accelerated scientific innovation in vaccine development to an unprecedented pace. Within one year of the identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), multiple vaccines received emergency use authorization. The introduction of mRNA vaccines, viral vector vaccines, protein subunit vaccines, and inactivated virus vaccines has reshaped immunization strategies worldwide. Despite remarkable success in reducing hospitalizations and deaths, significant challenges remain, including waning immunity, the emergence of immune-evasive variants, inequitable vaccine distribution, and vaccine hesitancy. This paper reviews the development of COVID-19 vaccines, analyzes their safety and efficacy profiles, explores challenges in implementation, and discusses future perspectives, including next-generation vaccines and global preparedness for future pandemics.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact"", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 8, page no.a703-a724, August-2025, Available :https://ijrti.org/papers/IJRTI2508087.pdf
APA — 7th edition
Singh, V., Kumar, V., Kumar, A., Parmar, G., & Giri, N. K. (2025). COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact". International Journal for Research Trends and Innovation, 10(8), a703-a724. https://ijrti.org/viewpaperforall.php?paper=IJRTI2508087
MLA — 9th edition
Singh, Vinit, et al. "COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact"." International Journal for Research Trends and Innovation, vol. 10, no. 8, 2025, pp. a703-a724, https://ijrti.org/viewpaperforall.php?paper=IJRTI2508087.
Chicago — 17th, bibliography
Singh, Vinit, et al. "COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact"." International Journal for Research Trends and Innovation 10, no. 8 (2025): a703-a724. https://ijrti.org/viewpaperforall.php?paper=IJRTI2508087.
Harvard — author–date
Singh, V. et al. (2025) 'COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact"', International Journal for Research Trends and Innovation, 10(8), pp. a703-a724. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2508087
IEEE — numbered reference
V. Singh, V. Kumar, A. Kumar, G. Parmar and N. K. Giri, "COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact"," IJRTI, vol. 10, no. 8, pp. a703-a724, Aug. 2025.
Vancouver — biomedical
Singh V, Kumar V, Kumar A, Parmar G, Giri NK. COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact". IJRTI. 2025 Aug;10(8):a703-a724.
AMA — 11th edition
Singh V, Kumar V, Kumar A, Parmar G, Giri NK. COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact". IJRTI. 2025;10(8):a703-a724. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2508087
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2508087, author = {Vinit Singh and Vikash Kumar and Aditya Kumar and Gautam Parmar and Nikhil Kumar Giri}, title = {COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact"}, journal = {International Journal for Research Trends and Innovation}, volume = {10}, number = {8}, pages = {a703-a724}, year = {2025}, month = {August}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2508087} }
RIS — EndNote, RefWorks
TY - JOUR AU - Singh, Vinit AU - Kumar, Vikash AU - Kumar, Aditya AU - Parmar, Gautam AU - Giri, Nikhil Kumar TI - COVID-19 Vaccines and Global Data Trends: Development, Efficacy, Epidemiological Data, Data Analytics and Public Health Impact" T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 10 IS - 8 PY - 2025 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2508087 SP - a703-a724 ER -

Issue

Volume 10 Issue 8, August-2025
Pages : a703-a724

Other Publication Details

Paper Reg. ID IJRTI_205791
Published Paper ID IJRTI2508087
Downloads 205,619
Research Area Medical Science
Country Ramgarh/ Kaimur ( Bhabua ), Bihar, India
Published August 2025

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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