Objective: The rapid development of COVID-19 bivalent vaccines (BVs) has encompassed both the original virus strains and the variant strain. However, the effectiveness of BVs is largely unknown. Therefore, we conducted a systematic review and meta-analysis of the effectiveness of BVs.
Methods: Literature research was conducted through PubMed, Cochrane Library, Embase, and Web of Science up until November 4, 2023. Both randomized control trials and observational studies were considered for inclusion. Pooled estimates were calculated using a random effects model. The Newcastle-Ottawa Scale (NOS) was used to assess the risk of bias in cohort and case-control studies.
Results: A total of 1,174 articles were reviewed and 22 eligible studies were included. All included studies were observational (15 cohort studies, 7 case-control studies). The total number of participants was 39,673,160, and the number of people vaccinated with BVs as an intervention group was 11,585,182. Two mRNA BVs were mainly involved, including the ancestral strain and the BA.1 or BA.4-5 variants. Meta-analysis results showed, compared with the monovalent vaccines (MVs), the relative effectiveness (rVE) of the BVs in COVID-19-associated infections/symptomatic infections, illnesses, hospitalizations, and deaths was 30.90% [95% confidence interval (CI), 8.43-53.37], 39.83% (95% CI, 27.34-52.32), 59.70% (95% CI, 44.08-75.32), and 72.23% (95% CI, 62.08-82.38), respectively. For those aged 50 years and older, BVs provided an additional 49.69% (95% CI, 41.44-57.94) effective protection compared with MVs. During the dominance period of the omicron XBB variant strain, BVs provided an additional 47.63% (95% CI, 27.45-67.82) effective protection compared with MVs.
Conclusion: Our findings show that the rVE of BVs in preventing COVID-19-associated infections, symptomatic infections, illnesses, hospitalizations, and deaths is higher compared to MVs. Particularly for people over 50 years of age and during the Omicron variant XBB dominance phase, BVs provided superior protection. Therefore, BVs may have a broader application in the prevention and control of coronaviruses variant.
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http://dx.doi.org/10.3389/fmed.2023.1322396 | DOI Listing |
Industrial data often consist of continuous variables (CVs) and binary variables (BVs), both of which provide crucial information about process operating conditions. Due to the coupling between industrial systems or equipment, these hybrid variables are usually high-dimensional and highly correlated. However, existing methods generally model hybrid variables directly in the observation space and assume independence between the variables to overcome the curse of dimensionality.
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February 2025
Department of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, Delhi, India. Electronic address:
Bacterial vesicles (BVs) are membrane-bound extracellular vesicles (EV) released from bacteria. They are known to play crucial role in bacterial communication, host-pathogen interactions, transfer of virulence factors, contribute to immune modulation and are the key players in microbial pathogenesis and survival in the host. Despite their significance, isolation and investigating BVs from human samples remains challenging, necessitating an easy, reliable and reproducible protocol.
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February 2025
Obstetric and Gynecology Department, Universidade Estadual de Campinas, Tessália Vieira de Camargo Street, 126 - Cidade Universitária Zeferino Vaz - Barão Geraldo, Campinas, SP, 13083-970, Brazil.
Background: Non-pharmacological interventions for perineal trauma are crucial for postpartum women's care, providing an alternative to excessive medication use and the associated potential adverse effects for both the woman and her newborn.
Aim: To map the non-pharmacological interventions studied in the context of childbirth-related perineal trauma over the years.
Methods: A systematic search was conducted on PubMed, BVS/Bireme, CINAHL, Embase, Scielo, ProQuest, ProQuest theses, Medline, Web of Science, and Scopus electronic databases.
Brief Bioinform
November 2024
Institute of Crop Science and Institute of Bioinformatics, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang 310058, China.
Current genomic prediction (GP) models often fall short of fully capturing the genetic architecture of complex traits and providing practical breeding guidance, particularly under varying environments. Here, we propose the mmGEBLUP, an advanced GP scheme designed to tackle the current limitations in fully exploiting the genetic architecture of complex traits and to predict individual breeding value (BV) with multi-environment trial data. Our approach considers four genetic structural indicators to capture the genetic architectures stepwise across four models: the Genomic Best Linear Unbiased Prediction (GBLUP) model considers only main polygenic effects; the GEBLUP model includes both main and genotype-by-environment (GE) interaction polygenic effects; and the mmGBLUP and mmGEBLUP models further incorporate main and GE interaction effects of major genes.
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February 2025
Graduate Program in Medical Sciences, Medical School, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Introduction: Chikungunya fever is a debilitating arthritic disease that can lead to atypical severe complications and sometimes be fatal. The risk factors for fatal outcomes of chikungunya fever have not been thoroughly studied. This systematic review and meta-analysis aimed to identify mortality risk factors in patients with chikungunya.
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