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Simulating the Progression of the COVID-19 Pandemic and Analyzing the Effects of Vaccination

Received: 24 September 2021     Accepted: 9 October 2021     Published: 21 October 2021
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Abstract

With thousands of COVID-19 cases on the rise, The project look back and see that it has already been more than a year and a half since the first COVID-19 case has been recorded. After months and months of the raging pandemic, many begin to wonder: what will it take to end it? As scientists and researchers scramble to come up with a global solution, many begin to educate themselves on the topic. In our paper, done by weeks of research, analysis, simulations, and coding, we look and touch upon the progression of COVID-19. Beginning with basic research, the project looked at the different types of vaccines that are being distributed, and found articles that mentioned the best way to end the pandemic worldwide. Along with basic research came simulating situations of the pandemic: this was done with none other than the programming language, Javascript, which was chosen for the fact that our simulation was going to be mostly web-based. Based on prior simulations, we came up with a model that was both accurate and visually intuitive. The project then used the simulation to obtain results and graph data. From the graphs that we obtained and kept, we were able to discuss and talk about the results that came up from it, such as analyzing the spread of the virus through different levels of masked or vaccinated individuals. From the basic steps of learning how to code to learning how to make graphs to represent the pandemic, we are able to grasp our current situation as well as educate others and ourselves on the biggest global concern today.

Published in American Journal of Science, Engineering and Technology (Volume 6, Issue 4)
DOI 10.11648/j.ajset.20210604.13
Page(s) 105-112
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

COVID-19, Simulation, Vaccination, Pandemic, Modeling

References
[1] “Coronavirus.” World Health Organization, 10 Jan. 2020, www.who.int/health-topics/coronavirus#tab=tab_1.
[2] “COVID-19 Vaccines.” World Heath Organization, 2 June 2021, www.who.int/emergencies/diseases/novel-coronavirus-2019/covid-19-vaccines.
[3] Emamdjomeh, Armand, et al. “How Epidemics like Covid-19 End (and How to End Them Faster).” Washington Post, 19 Feb. 2020, www.washingtonpost.com/graphics/2020/health/coronavirus-how-epidemics-spread-and-end/?tid=graphics-story. Accessed 29 July 2021.
[4] Simler, Kevin. “Outbreak.” Meltingasphalt.com, 16 Mar. 2020, meltingasphalt.com/interactive/outbreak/.
[5] Stevens, Harry. “These Simulations Show How to Flatten the Coronavirus Growth Curve.” Washington Post, 14 Mar. 2020, www.washingtonpost.com/graphics/2020/world/corona-simulator/.
[6] Katella, Kathy. “Comparing the COVID-19 Vaccines: How Are They Different?” Yale Medicine, 22 July 2021, www.yalemedicine.org/news/covid-19-vaccine-comparison.
[7] “Pfizer and BioNTech Announce Publication of Results from Landmark Phase 3 Trial of BNT162b2 COVID-19 Vaccine Candidate in The New England Journal of Medicine Pfpfizeruscom.” Pfizer News, 10 Dec. 2020, www.pfizer.com/news/press-release/press-release-detail/pfizer-and-biontech-announce-publication-results-landmark.
[8] Public Health England. “Vaccines Highly Effective against B.1.617.2 Variant after 2 Doses.” GOV.UK, 22 May 2021, www.gov.uk/government/news/vaccines-highly-effective-against-b-1-617-2-variant-after-2-doses.
[9] “Information about the Moderna COVID-19 Vaccine.” Centers for Disease Control and Prevention, 11 June 2021, www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/Moderna.html.
[10] LaFraniere, Sharon, and Noah Weiland. “F.D.A. Attaches Warning of Rare Nerve Syndrome to Johnson & Johnson Covid Vaccine.” The New York Times, 13 July 2021, www.nytimes.com/2021/07/12/us/politics/fda-warning-johnson-johnson-vaccine-nerve-syndrome.html.
[11] “Cerebral Venous Sinus Thrombosis (CVST).” Yale Medicine, 21 June 2021, www.yalemedicine.org/conditions/cerebra-venous-sinus-thrombosis-cvst.
[12] Zimmer, Carl, et al. “F.D.A. Analyses Find Johnson & Johnson Vaccine Works Well.” The New York Times, 20 July 2021, www.nytimes.com/2021/02/24/science/johnson-johnson-covid-vaccine.html.
[13] “VRBPAC February 26, 2021 Meeting Announcement.” U.S. Food and Drug Administration, 26 Apr. 2021, www.fda.gov/advisory-committees/advisory-committee-calendar/vaccines-and-related-biological-products-advisory-committee-february-26-2021-meeting-announcement#event-materials.
[14] Charumilind, Sarun, et al. “When Will the COVID-19 Pandemic End?” McKinsey & Company, McKinsey & Company, 29 Mar. 2021, www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/when-will-the-covid-19-pandemic-end.
[15] “PixiJS.” Www.pixijs.com, www.pixijs.com/.
[16] Leung, Nancy H. L., et al. “Respiratory Virus Shedding in Exhaled Breath and Efficacy of Face Masks.” Nature Medicine, vol. 26, no. 5, 2020, pp. 676–80. Crossref, doi: 10.1038/s41591-020-0843-2.
Cite This Article
  • APA Style

    Ashley Seong, Jeewon Han, Jungyoon Lee, SungMin Lee. (2021). Simulating the Progression of the COVID-19 Pandemic and Analyzing the Effects of Vaccination. American Journal of Science, Engineering and Technology, 6(4), 105-112. https://doi.org/10.11648/j.ajset.20210604.13

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    ACS Style

    Ashley Seong; Jeewon Han; Jungyoon Lee; SungMin Lee. Simulating the Progression of the COVID-19 Pandemic and Analyzing the Effects of Vaccination. Am. J. Sci. Eng. Technol. 2021, 6(4), 105-112. doi: 10.11648/j.ajset.20210604.13

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    AMA Style

    Ashley Seong, Jeewon Han, Jungyoon Lee, SungMin Lee. Simulating the Progression of the COVID-19 Pandemic and Analyzing the Effects of Vaccination. Am J Sci Eng Technol. 2021;6(4):105-112. doi: 10.11648/j.ajset.20210604.13

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  • @article{10.11648/j.ajset.20210604.13,
      author = {Ashley Seong and Jeewon Han and Jungyoon Lee and SungMin Lee},
      title = {Simulating the Progression of the COVID-19 Pandemic and Analyzing the Effects of Vaccination},
      journal = {American Journal of Science, Engineering and Technology},
      volume = {6},
      number = {4},
      pages = {105-112},
      doi = {10.11648/j.ajset.20210604.13},
      url = {https://doi.org/10.11648/j.ajset.20210604.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajset.20210604.13},
      abstract = {With thousands of COVID-19 cases on the rise, The project look back and see that it has already been more than a year and a half since the first COVID-19 case has been recorded. After months and months of the raging pandemic, many begin to wonder: what will it take to end it? As scientists and researchers scramble to come up with a global solution, many begin to educate themselves on the topic. In our paper, done by weeks of research, analysis, simulations, and coding, we look and touch upon the progression of COVID-19. Beginning with basic research, the project looked at the different types of vaccines that are being distributed, and found articles that mentioned the best way to end the pandemic worldwide. Along with basic research came simulating situations of the pandemic: this was done with none other than the programming language, Javascript, which was chosen for the fact that our simulation was going to be mostly web-based. Based on prior simulations, we came up with a model that was both accurate and visually intuitive. The project then used the simulation to obtain results and graph data. From the graphs that we obtained and kept, we were able to discuss and talk about the results that came up from it, such as analyzing the spread of the virus through different levels of masked or vaccinated individuals. From the basic steps of learning how to code to learning how to make graphs to represent the pandemic, we are able to grasp our current situation as well as educate others and ourselves on the biggest global concern today.},
     year = {2021}
    }
    

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Author Information
  • Seoul International School, Gyunggi-do, South Korea

  • Cranbrook Schools, Michigan, USA

  • Lexington High School, Massachusetts, USA

  • Saint Johnsbury Academy Jeju, Seogwipo-si, South Korea

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