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- W4387090260 abstract "Abstract The coronavirus disease 2019 (COVID-19) pandemic has changed which affects the risk of COVID-19 infection for specific subgroups. We focused on the subgroups based on the factors (sex, age, and vaccination) and COVID-19 strains (Alpha, Delta, and Omicron). Past studies focused on analyzing these factors based on one geographic region or one COVID-19 strain. Therefore, there is a need to understand these factors’ association with risk of COVID-19 infection through analyzing data from various geographic regions and strains. The association between COVID-19 strains and the factors was assessed through chi-square test and odds ratio tests. Sex, vaccination, age had a significant association with testing positive for the COVID-19 strains of interest in most geographies. The biggest difference was unvaccinated individuals have 3.14 higher odds of getting Alpha than vaccinated individuals in Canada. These findings provide insights into the groups that are more susceptible to contracting specific strains of COVID-19. Summary This manuscript offers a broad examination of key factors that may impact the risk of COVID-19 infection across various geographic regions. Results provide evidence about potential risk factors for COVID-19 infection around the world for certain sub-groups as COVID-19 mutates." @default.
- W4387090260 created "2023-09-28" @default.
- W4387090260 creator A5024293614 @default.
- W4387090260 creator A5092952281 @default.
- W4387090260 date "2023-09-27" @default.
- W4387090260 modified "2023-10-03" @default.
- W4387090260 title "Analysis of Potential Risk Factors of COVID-19 Based on Variants: Omicron, Delta, and Alpha" @default.
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- W4387090260 doi "https://doi.org/10.1101/2023.09.26.23295911" @default.
- W4387090260 hasPublicationYear "2023" @default.
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