COVID-19 Post Vaccination Data in North America

Elbagoury, Marwan and Aktham, Yahia and Elkoush, Omar and Awaad, Sameh and Chouikrat, Mohamed Zahir (2023) COVID-19 Post Vaccination Data in North America. Journal of Pharmaceutical Research International, 35 (20). pp. 15-31. ISSN 2456-9119

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Abstract

This article explores the impact of COVID-19 vaccination on public health in Canada and the United States. Using OpenAI's GPT-3 language model, data was extracted from various online sources, including government health agencies, news articles, academic papers, and social media platforms. The data was analyzed using natural language processing techniques to identify common themes and sentiments. Despite the staggering death toll and impact on everyday life, the rollout of vaccines marks a critical milestone in the fight against the virus. However, challenges remain, including skepticism from some members of the public and the emergence of new virus variants. The early data is encouraging, showing a significant reduction in COVID-19 cases, hospitalizations, and deaths in vaccinated populations. The article emphasizes the critical role of vaccines in controlling the spread of the virus, alongside other public health measures, to overcome this devastating pandemic. The findings suggest that COVID-19 vaccination has had a significant positive impact on public health in both countries, with a decrease in COVID-19 cases, hospitalizations, and deaths. However, challenges remain, including vaccine hesitancy and the emergence of new variants. The article concludes with recommendations for public health policy, including increasing vaccine access and education, monitoring new variants, and continuing to follow public health guidelines.

Item Type: Article
Subjects: Science Global Plos > Medical Science
Depositing User: Unnamed user with email support@science.globalplos.com
Date Deposited: 21 Sep 2023 10:20
Last Modified: 21 Sep 2023 10:20
URI: http://ebooks.manu2sent.com/id/eprint/1502

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