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  1. Article ; Online: Depression, anxiety, and stress among COVID-19 patients in South Sinai, Egypt: prevalence and associated predictors.

    Gad, Basma Khairy / Arafa, Mostafa Ahmed / Attia, Ashraf Farouk / Farahat, Ahmed Hassanin / Abdou, Marwa Shawky

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 19193

    Abstract: Infectious diseases trigger fear and anxiety among patients leading to disturbance in psychological health of patients. Psychological symptoms were found during SARS-COV-1 epidemic which raise the curiosity about their presence with SARS-COV-2 infection. ...

    Abstract Infectious diseases trigger fear and anxiety among patients leading to disturbance in psychological health of patients. Psychological symptoms were found during SARS-COV-1 epidemic which raise the curiosity about their presence with SARS-COV-2 infection. The current study aimed to estimate the prevalence and severity of psychiatric disorders (depression, anxiety, and stress) among COVID-19 patients and their associated significant predictors. A cross-sectional study was conducted among 382 patients infected with COVID-19 in South Sinai governorate, Egypt, during the period June 2021 through January 2022. Patients with positive PCR test for COVID-19 were included if no more than 6 months have passed after being isolated in the hospital or at home. The patients were being contacted after being cured from COVID-19. The Arabic version of the Depression Anxiety Stress was used to assess the psychological status of patients. Multivariate linear regression analysis was done to detect the predictors of psychiatric symptoms among patients. A total of 382 participants with mean age of 41.5 ± 15.0 years old, of whom 72.5% were males were included in the study. 91.6% of participants had all the three studied psychological disorders; depression, anxiety and stress with most of participants had either severe or extremely severe conditions (13.9 and 75.7 for anxiety, 22.8 and 46.3% for depression, 38.5 and % 19.6 for stress, respectively). Healthcare workers had higher prevalence rates of depression, anxiety and stress. In bivariate analysis, educational level, HCWs and visiting healthcare facility were significantly affecting DASS scores. In linear regression analysis, hospital admission was the main predictor of the three psychological disorders. In Conclusion, majority of patients affected with COVID-19 suffered from symptoms of anxiety, depression and stress within six months after being infected. Hospital admission was found to be the main predictor of the presence of psychiatric disorders with prolonged recovery time from COVID-19 infection. More attention should be paid to COVID-19 patient's mental health as psychological care and presence of psychiatric in the isolation hospitals should be considered.
    MeSH term(s) Male ; Humans ; Adult ; Middle Aged ; Female ; COVID-19 ; Depression/psychology ; Prevalence ; Cross-Sectional Studies ; Egypt ; SARS-CoV-2 ; Surveys and Questionnaires ; Anxiety/psychology ; Health Personnel/psychology ; Stress, Psychological/psychology
    Language English
    Publishing date 2023-11-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-45775-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A Meta-Analysis on the Safety and Immunogenicity of Covid-19 Vaccines.

    Ashmawy, Rasha / Hamdy, Noha A / Elhadi, Yasir Ahmed Mohammed / Alqutub, Sulafa T / Esmail, Ola Fahmy / Abdou, Marwa Shawky Mohammed / Reyad, Omar Ahmed / El-Ganainy, Samar O / Gad, Basma Khairy / Nour El-Deen, Ahmed El-Sayed / Kamal, Ahmed / ElSaieh, Haider / Elrewiny, Ehab / Shaaban, Ramy / Ghazy, Ramy Mohamed

    Journal of primary care & community health

    2022  Volume 13, Page(s) 21501319221089255

    Abstract: Objective: The presented meta-analysis (MA) aims at identifying the vaccine safety and immunogenicity in published trials about SARS-CoV-2 vaccines.: Methods: All relevant publications were systematically searched and collected from different ... ...

    Abstract Objective: The presented meta-analysis (MA) aims at identifying the vaccine safety and immunogenicity in published trials about SARS-CoV-2 vaccines.
    Methods: All relevant publications were systematically searched and collected from different databases (Embase, Scopus, EBSCO, MEDLINE central/PubMed, Science Direct, Cochrane Central Register for Clinical Trials (CENTRAL), Clinical Trials.gov, WHO International Clinical Trials Registry Platform (ICTRP), COVID Trial, COVID Inato, Web of Science, ProQuest Thesis, ProQuest Coronavirus Database, SAGE Thesis, Google Scholar, Research Square, and Medxriv) up to January 10, 2021. The pooled vaccine safety and immunogenicity following vaccination in phase 1 and 2 vaccine clinical trials, as well as their 95% confidence intervals (CI), were estimated using the random-effects model.
    Results: The predefined inclusion criteria were met in 22 out of 8592 articles. The proportion of anti-severe acute respiratory distress coronavirus 2 (SARS-CoV-2) antibody responses after 7 days among 72 vaccinated persons included in 1 study was 81% (95% CI: 70-89), after 14 days among 888 vaccinated persons included in 6 studies was 80% (95% CI: 58-92), after 28 days among 1589 vaccinated persons included in 6 studies was 63% (95% CI: 59-67), after 42 days among 478 vaccinated persons included in 5 studies was 93% (95% CI: 80-98), and after 56 days among 432 vaccinated persons included in 2 studies was 93% (95% CI: 83-97). Meta regression explains more than 80% of this heterogeneity, where the main predictors were; the inactivated vaccine type (β = 2.027,
    Conclusion: Immunogenicity following vaccination ranged from 63% to 93% depending on the time at which the antibody levels were measured.
    MeSH term(s) COVID-19/prevention & control ; COVID-19 Vaccines/adverse effects ; Humans ; SARS-CoV-2 ; Vaccination
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2022-04-10
    Publishing country United States
    Document type Journal Article ; Meta-Analysis
    ZDB-ID 2550221-9
    ISSN 2150-1327 ; 2150-1319
    ISSN (online) 2150-1327
    ISSN 2150-1319
    DOI 10.1177/21501319221089255
    Database MEDical Literature Analysis and Retrieval System OnLINE

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