COVID-19 Literature Review

This article was a very interesting observation on how the effect of vaccination rates in the New York City area would alter hospitalization and infection rates of the Omicron variant for COVID-19 (Dorwabawila 1). It was startling to see the statistics of how unvaccinated children responded to COVID-19, and I believed that this study was conducted out well in regards to that. I enjoyed how the study explained specific statistics on the amount of children and teenagers in hospitalization due to COVID-19, as well as their side effects (Dorwabawila 1). The introduction was comprehensive in stating the potential methods used for surveying the patients and how they measured the data. I believe that the discussion was incredibly important, for it stated how the risk of infection was higher for unvaccinated children. I think the significance of actual data is amplified due to the polarizing of the COVID-19 pandemic. I only wish that there was more highlight on the discussion, and how other variants could possibly affect the efficiency of the COVID-19 vaccine (Dorwabawila 2). 

The research question sought out to determine how vaccination rates affected the spread of the Omicron variant. I do believe that it helped to solidify the evidence that COVID-19 vaccinations are effective in preventing and minimizing COVID-19 infection. The research was reliable and cited by multiple experts as I observed. The research only showed the importance of proper data techniques and scientific studies of data science. The intersection between data science/statistics in global health is a study to dive in. 

Citation:

Risk of Infection and Hospitalization Among Vaccinated and Unvaccinated Children and Adolescents in New York After the Emergence of the Omicron Variant. Vajeera Dorabawila, PhD, Division of Epidemiology, Bureau of Surveillance & Data Systems (BSDS), May 13, 2022. doi:10.1001/jama.2022.7319