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Have Previous COVID-19 Vaccinations Shaped the Potential Enhancing Infection of Variant Strains?
Xiong, Husheng; Meng, Xiang; Song, Yanqin; Zhong, Jiayi; Liu, Shuang; Zhu, Xun; Ye, Xin; Zhong, Yonghui; Zhang, Dingmei.
Afiliação
  • Xiong H; Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Meng X; Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Song Y; The Fourth People's Hospital of Foshan City, Foshan 528000, China.
  • Zhong J; Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Liu S; Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Zhu X; Department of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
  • Ye X; Tianhe District Center for Disease Control and Prevention, Guangzhou 510630, China.
  • Zhong Y; The Fourth People's Hospital of Foshan City, Foshan 528000, China.
  • Zhang D; Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Vaccines (Basel) ; 12(6)2024 May 22.
Article em En | MEDLINE | ID: mdl-38932296
ABSTRACT

OBJECTIVE:

This study aimed to investigate the infection status of Omicron in the population and the association between COVID-19 vaccination and infection with Omicron.

METHODS:

We conducted a cross-sectional study to openly recruit participants for a survey of SARS-CoV-2 infection by convenience sampling from 1 January to 15 January 2023 after a COVID-19 pandemic swept across China. Additionally, the binary logistic regression model was adopted to evaluate the association between COVID-19 vaccination and the infection outcomes or symptom severity, respectively. Meanwhile, the relations between the vaccination and duration of the symptoms were estimated via ordinal logistic analysis.

RESULTS:

Of the 2007 participants, the prevalence of infection with Omicron was 82.9%. Compared with unvaccinated individuals, inactivated COVID-19 vaccination could increase the risk of Omicron infection (OR = 1.942, 95% CI 1.093-3.448), and the receipt of at least one dose of non-inactivated COVID-19 vaccines was a protective factor against infection (OR = 0.428, 95% CI 0.226-0.812). By contrast, no relations were observed in COVID-19 vaccination with the symptoms of infection and duration of symptoms (p > 0.05).

CONCLUSIONS:

This cross-sectional study concluded that inactivated COVID-19 vaccination might increase the risk of Omicron infection, which should be a concern during COVID-19 vaccination and the treatment of variant infections in the future, and the receipt of at least one dose of non-inactivated COVID-19 vaccine was a protective factor against infection.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article