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    Trends in Bacterial and Candida Infections Before and Throughout the COVID-19 Pandemic

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    Date
    2024-11-29
    Author
    Al Mana, Hassan
    Alhussain, Hashim
    Wilson, Godwin
    Abdel Hadi, Hamad
    Ibrahim, Emad
    Eltai, Nahla O.
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    Abstract
    The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)virus, resulted in significant global health consequences. The interventions introduced to limit the spread of the virus had a significant impact on the course of the pandemic, but they might also involve other pathogens besides SARS-CoV-2. This study investigates the epidemiological variations for major bacterial and common fungal pathogens represented by Candida species infection in Qatar through retrospective hospital records. Retrospective data were collected on all bacterial and Candida infections from Hamad General Hospital between January 2019 and December 2021. Statistical analyses were performed using R (Version 4.1.0). Infection count comparisons were performed using chi-square goodness of fit tests. Differences in patient numbers were tested with one-way ANOVA followed by post hoc Tukey HSD. The number of infections and measures were correlated using Spearman rank correlation. The significance level was set at 0.05, and where applicable, the Holm–Bonferroni method was used to correct for multiple testing. The general trend for bacterial and Candida infections showed a significant decrease (p < 0.05) following the imposed restrictions and increases during restriction lifting periods. The number of bacterial infections correlated with the number of international visitors (ρ = 0.61, p < 0.01), while the number of Candida infections correlated with hospital admissions of COVID-19 patients (ρ = 0.59, p = 0.013). The results provide a general overview of the infection trends in Qatar during the COVID-19 pandemic and illustrate some of the pandemic interventions’ effects on bacterial and Candida infections. However, further research is needed to better understand the underlying trend dynamics.
    DOI/handle
    http://hdl.handle.net/10576/61610
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    • Biomedical Research Center Research [‎785‎ items ]

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