Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (32)
  • Open Access

    ARTICLE

    Should we continue breastfeeding after SARS-CoV-2 infection or mRNA vaccination?

    FEI CHEN1,*, CHUN LUAN1, ZICHUN WEI1, DECHEN CAI1, ZHIWEN CUI1, YUYANG LI1, HAO WU2, XIAOXIA ZHANG1, XIAOLI WU2

    BIOCELL, Vol.46, No.6, pp. 1425-1433, 2022, DOI:10.32604/biocell.2022.019868

    Abstract The coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has posed a potential threat to infant health. The World Health Organization recommended that the benefits of breastfeeding far outweigh the potential risk of transmission, but there is no denying that the current evidence is insufficient. Moreover, although the COVID-19 mRNA vaccine has played an effective role in protection against infection, individuals have increasing concerns about the safety of breastfeeding after vaccination, and which have caused some breastfeeding women to postpone vaccination or stop breastfeeding early. Thus, in this review, we provide an in-depth… More >

  • Open Access

    ARTICLE

    Covid-19 Symptoms Periods Detection Using Transfer-Learning Techniques

    Fahad Albogamy1, Mohammed Faisal2,3,*, Mohammed Arafah4, Hebah ElGibreen3,5

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1921-1937, 2022, DOI:10.32604/iasc.2022.022559

    Abstract The inflationary illness caused by extreme acute respiratory syndrome coronavirus in 2019 (COVID-19) is an infectious and deadly disease. COVID-19 was first found in Wuhan, China, in December 2019, and has since spread worldwide. Globally, there have been more than 198 M cases and over 4.22 M deaths, as of the first of Augest, 2021. Therefore, an automated and fast diagnosis system needs to be introduced as a simple, alternative diagnosis choice to avoid the spread of COVID-19. The main contributions of this research are 1) the COVID-19 Period Detection System (CPDS), that used to detect the symptoms periods or… More >

  • Open Access

    ARTICLE

    A Machine Learning Approach for Early COVID-19 Symptoms Identification

    Omer Ali1,2, Mohamad Khairi Ishak1,*, Muhammad Kamran Liaquat Bhatti2

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3803-3820, 2022, DOI:10.32604/cmc.2022.019797

    Abstract Symptom identification and early detection are the first steps towards a health condition diagnosis. The COVID-19 virus causes pneumonia-like symptoms such as fever, cough, and shortness of breath. Many COVID-19 contraction tests necessitate extensive clinical protocols in medical settings. Clinical studies help with the accurate analysis of COVID-19, where the virus has already spread to the lungs in most patients. The majority of existing supervised machine learning-based disease detection techniques are based on clinical data like x-rays and computerized tomography. This is heavily reliant on a larger clinical study and does not emphasize early symptom detection. The aim of this… More >

  • Open Access

    ARTICLE

    Generalized Anxiety and Major Depressive Symptoms of General Public in South Korea during the Early COVID-19 Pandemic

    Kye S. Kim1, Peter M. Kang1, He Sook N. Kim2,*

    International Journal of Mental Health Promotion, Vol.23, No.3, pp. 303-317, 2021, DOI:10.32604/IJMHP.2021.016470

    Abstract The extent of viral spread and strategies in dealing with the COVID-19 pandemic have been different in each country. There are overall increased mental health concerns in many countries but it is unclear what the general public individuals who do not have heighten vulnerability to stressors for existing mental diseases or significant physical illnesses were experiencing during the pandemic. We evaluated the stressors and mental health of general public in South Korea that has a relatively low confirmed cases and deaths. Responses on the on-line survey questions were used to assess the mental and physical symptoms in association with individuals’… More >

  • Open Access

    REVIEW

    Yellow Vein Mosaic Disease in Okra (Abelmoschus esculentus L.): An Overview on Causal Agent, Vector and Management

    Mustansar Mubeen1, Yasir Iftikhar1,*, Aqleem Abbas2, Mazhar Abbas3, Muhammad Zafar-ul-Hye4, Ashara Sajid1, Faheema Bakhtawar1

    Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1573-1587, 2021, DOI:10.32604/phyton.2021.016664

    Abstract Okra (Abelmoschus esculentus L.) belongs to the Malvaceae family and is one of the most essential and popular vegetables globally. It is rich in proteins, carbohydrates, and vitamins. Abiotic and biotic factors threaten okra productivity. Okra yellow vein mosaic disease (OYVMD) is the most destructive disease of okra. The causal agent, [(i.e., Okra yellow vein mosaic virus (OYVMV)] of this disease belongs to the family Geminiviridae and genus Begomovirus. OYVMV is a monopartite with additional ssDNA molecule. This virus has two components DNA-A for protein coding and DNA-B for symptoms induction. Whitefly transmits OYVMV in persistent manner. Characteristic symptoms of… More >

  • Open Access

    ARTICLE

    Early COVID-19 Symptoms Identification Using Hybrid Unsupervised Machine Learning Techniques

    Omer Ali1,2, Mohamad Khairi Ishak1,*, Muhammad Kamran Liaquat Bhatti2

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 747-766, 2021, DOI:10.32604/cmc.2021.018098

    Abstract The COVID-19 virus exhibits pneumonia-like symptoms, including fever, cough, and shortness of breath, and may be fatal. Many COVID-19 contraction experiments require comprehensive clinical procedures at medical facilities. Clinical studies help to make a correct diagnosis of COVID-19, where the disease has already spread to the organs in most cases. Prompt and early diagnosis is indispensable for providing patients with the possibility of early clinical diagnosis and slowing down the disease spread. Therefore, clinical investigations in patients with COVID-19 have revealed distinct patterns of breathing relative to other diseases such as flu and cold, which are worth investigating. Current supervised… More >

  • Open Access

    ARTICLE

    Association between Active School Travel and Depressive Symptoms among 51,702 Adolescents in 26 Low- and Middle-Income Countries

    Shuan Liu1, Sitong Chen2, Xiaohong Zhu3, Brendon Stubbs4, Qian Yu5, Mark D. Griffiths6, Can Jiao7, Aiguo Chen8, Md Mahbub Hossain9, Zsolt Demetrovics10,11, Albert S. Yeung12, Jinming Li5, Xingyu Zhang5, Liye Zou5,*

    International Journal of Mental Health Promotion, Vol.23, No.2, pp. 141-153, 2021, DOI:10.32604/IJMHP.2021.016274

    Abstract Little is known about the role of active school travel (AST) on mental health among adolescents. Thus, this study aimed to explore the AST-depression association among adolescents aged 12–15 years from 26 low- and middleincome countries (LMICs). Data from the Global School-based Student Health Survey were analyzed in 51,702 adolescents [mean (SD) age 13.8 (1.0) years; 49.3% boys). Both depressive symptoms and AST were assessed by a single question self-reported measure, respectively. Participants who reported having 5 days or above were considered as AST. Multivariable logistic regression analysis (accounting for sampling weights) was performed while controlling for gender, age, physical… More >

  • Open Access

    ARTICLE

    Food Insecurity and Depressive Symptoms in Adolescents Aged 12–15 Years from Low- and Middle-Income Countries

    Meng Wang*

    International Journal of Mental Health Promotion, Vol.23, No.2, pp. 177-187, 2021, DOI:10.32604/IJMHP.2021.016466

    Abstract Purpose: Little is known about the role of food insecurity (FIS) on depressive symptoms among adolescents. Thus, this study aimed to explore the association between FIS and depressive symptoms among adolescents aged 12–15 years from low- and middle-income countries across the world. Methods: Data from the Global school-based Student Health Survey were analyzed in 51,702 adolescents [mean (SD) age 13.8 (1.0) years; 49.3% girls). Self-reported measures assessed depressive symptoms during the past 12 months, and food insecurity. Participants reporting yes for depressive symptoms. FIS was categorized into five levels, including ‘never’, ‘rarely’, ‘sometimes’, ‘most of the time’ and ‘always’. Multivariable… More >

  • Open Access

    ARTICLE

    Association of Physical Activity, Screen Time and Sleep with Depressive Symptoms in Adolescents

    Qiang Sun1, Xuzhi Zhan2,*

    International Journal of Mental Health Promotion, Vol.23, No.1, pp. 75-86, 2021, DOI:10.32604/IJMHP.2021.014634

    Abstract Little is known on the association between movement behaviors including physical activity (PA), screen time (ST) and sleep (SLP) with depression in adolescents. This study aimed to explore the associations of PA, ST and SLP with depressive symptoms in adolescents. A total of 1,331 middle school students participated in this survey and provided valid data pertaining to the study variables. Self-reported questionnaires were used to collect information on participants’ sociodemographic parameters. The Health Behavior in School-aged Children Questionnaire was used to assess the PA (days for moderate to vigorous PA), ST (daily hours of ST) and SLP (daily hours of… More >

  • Open Access

    ARTICLE

    The Impact of COVID-19 on Spanish Health Professionals: A Description of Physical and Psychological Effects

    Mònica Cunill1, Maria Aymerich1, Bernat-Carles Serdà2,*, Josefina Patiño-Masó3

    International Journal of Mental Health Promotion, Vol.22, No.3, pp. 185-198, 2020, DOI:10.32604/IJMHP.2020.011615

    Abstract Aim: To describe the physical and psychological symptoms in healthcare workers caring for COVID-19 patients. Methods: Cross-sectional descriptive study design. A sample of 1,452 participants was collected. Sociodemographic data were recorded. Symptoms of anxiety were screened with Generalized Anxiety Disorder (GAD-7), symptoms of depression were measured with the Patient Health Questionnaire (PHQ-9), and finally physical symptoms were measured using the Patient Health Questionnaire (PHQ-15). Percentages, means and standard deviations, the one-way and two-way ANOVA test, the Chi square test and Pearson’s correlation coefficient were all calculated. The level of significance was (p < 0.05). Results: Medium levels of anxiety (range,… More >

Displaying 21-30 on page 3 of 32. Per Page