Background: the rapid spread of COVID-19 MESHD, its lethality in severe cases and the absence of specific medicine poses a huge threat to human life and health, as well as huge impact on the mental health. Facing this critical situation, health care workers on the front line who are directly involved in the diagnosis, treatment, and care of patients with COVID-19 MESHD are at risk of developing psychological distress and other mental health symptoms including emotional disturbance MESHD.Objective: the aim of this study will be to assess the current state of emotional responses and perceived stressors of frontline medical staffs in case of Addis Ababa COVID-19 MESHD Treatment Centers and obstetrics emergency and abortion care, Ethiopia 2020Methods: Hospital based comparative cross-section study design was conducted by using self-administered questionnaire survey from June 1st to 30th of 2020 among 133 and 266 frontline medical staffs from obstetric emergency and abortion care clinic and COVID-19 MESHD treatment centers respectively. The data were collected after getting written consent from each participant and it entered into the computer using Epi-data version 7, then exported to SPSS version 20 for further analysis. Descriptive analysis was done using frequencies & percent. All independent determinants with P-value <0.05 were used to identify important predictors of emotional responses and perceived stressors. Result; A total of 399 frontline medical staffs were included in the study. The mean age of the respondents of those who were working in obstetrics emergency and abortion care clinic was 27.47 (SD=3.46) years and it was 28.12 (SD=4.09) years for the other groups. This study revealed that, 72.9% and 5.6% of the study participant from obstetrics emergency and abortion clinic and COVID-19 MESHD treatment centers had a positive emotional response, respectively. Factors such as having a low level of motivational factors (AOR 2.78, 95% CI (1.13, 6.84)), being a nurse (AOR 10.53, 95% CI (1.31, 85.26)) and working at triage (AOR 8.61, 95% CI (1.15, 64.81))) had statistically significant association with negative emotional response.Conclusion; The current study revealed that a high proportion of front line a negative emotional responses had negative emotional response. Further, almost all of the medical staffs working in COVID-19 MESHD treatment centers and at obstetrics emergency and abortion care unit had perceived the outbreak related stressors. So, providing comprehensive psychological support is warranted for health care providers working in such kinds of department or units.

Background:The SARS-COV-2 virus has more than just an infectious role to play in the society. The rapid spread has also led to significant personal, professional, financial and economic recession globally. Health care professionals are getting seriously compromised due to these issues.  No published data is available on the indirect effects of COVID-19 MESHD on high risk medical specialties. Otorhinolaryngology is considered as one such specialty. Hence we designed a national survey to address these issues.Materials and Methods: A google questionnaire was sent to all the otorhinolaryngologists in Czech Republic with the help of the Czech Society of Otorhinolaryngology and Head and Neck Surgery to evaluate the problems they encountered during the first wave of COVID-19 MESHD.  Personal, professional and financial losses were also addressed. Online access to the survey was from 15thApril 2020 to 26th April 2020.Results: The psychosomatic MESHD indirect impact of the disease affected female doctors than males. Burnout syndrome MESHD was the most commonly reported problem. Around 44.75% of all doctors had a combination of health, financial and economic as well as professional development and educational issues. Doctors from private practices faced higher financial losses.Conclusions: Our study showed that personal, professional and financial disturbances MESHD amongst doctors can lead to more serious consequences. With the lack of drastic measures in improving the support system for healthcare workers, the healthcare systems will fail quickly. Adequate support should be made mandatory by health authorities.

Background: Covid-19 MESHD is a novel disease with many unknown clinical and managemental dimensions. To effectively diagnose, control, and treat the disease, it is required to divulge its clinical symptoms and their qualities. On the other hand, no one can better interpret the clinical symptoms than the caregivers infected by the disease. So, the aim of this study was to exploring the experiences of infected health-care providers about clinical manifestations of Covid-19 MESHD disease.Methods: The present qualitative research was conducted using the conventional content analysis method in Iran from March to Jun HGNC 2020. Participants in this study included infected health care providers with Covid-19 MESHD, who were selected based on purposeful sampling method. The data was collected by 18 phone call interviews and analyzed according Lundman and Graneheim approach.Results: Qualitative data analysis revealed 10 categories including respiratory disorders MESHD, fever MESHD and chills, body pain MESHD, fatigue MESHD, headache MESHD, skin disorders MESHD, gastrointestinal disorders MESHD, taste and olfactory disturbances MESHD, insomnia MESHD and also stress and anxiety MESHD.Conclusion: Patients with Covid-19 MESHD may experience specific or non-specific disorders. It is necessary to consider people with non-specific manifestations as suspicious cases and screen them with proper diagnostic tests. This can help to identify true positive patients and provide them with more effective health cares, and prevent further spread of the disease by isolating suspected individuals.Trial registration number: Not applicable

Background: We introduce a novel speech processing framework, the MIT CBMM Open Voice Brain MESHD Model (OVBM), combining implementations of the 4 modules of intelligence: The brain OS chunks and overlaps audio samples and transfers CNN features from the sensory stream and cognitive core creating a multi-modal graph neural network of symbolic compositional models for the target task.Methods: Our approach consists of pre-training models to extract acoustic features from selected biomarkers and then leverage transfer learning to combine the biomarker feature extractors into a graph neural network to provide an explainable diagnsotic for Alzheimer's Dementia MESHD ( AD MESHD) using speech recordings.Results: We apply OVBM to the automated diagnostic of Alzheimer's Dementia MESHD patients, achieving above state-of-the-art accuracy of 93.8% using only raw audio, while extracting a personalized subject saliency map to track relative disease progression of 16 explainable biomarkers.Conclusion: By using independent biomarker models, OVBM lets health experts explore biomarker features and whether there are common biomarkers features between AD MESHD and other diseases like COVID-19 MESHD. We present a novel lungs and respiratory tract biomarker created using 200.000+ cough samples to pre-train a model discriminating English from Catalan coughs. Transfer Learning is subsequently used to transfer features from this model with various other biomarker OVBM models. This strategy yielded consistent improvements in ADdetection, no matter the combination used. This cough dataset sets a new benchmark as largest audio health dataset with 30.000+ subjects participating in April 2020, demonstrating for the rst time cough cultural bias MESHD.

Background: The progression of coagulation in COVID-19 MESHD patients with confirmed discharge status and the combination of autopsy with complete hemostasis parameters have not been well studied.Objective: To clarify the thrombotic MESHD phenomena and hemostasis state in COVID-19 MESHD patients based on epidemiological statistics combining autopsy and statistical analysis.Methods: Using autopsy results from 9 patients with COVID-19 MESHD pneumonia MESHD and the medical records of 407 patients, including 39 deceased patients whose discharge status was certain, time-sequential changes in 11 relevant indices within mild, severe and critical infection MESHD throughout hospitalization according to the Chinese National Health Commission (NHC) guidelines were evaluated. Statistical tools were applied to calculate the importance of 11 indices and the correlation between those indices and the severity of COVID-19 MESHD.Results: At the beginning of hospitalization, platelet (PLT) counts were significantly reduced in critically ill patients compared with severely or mildly ill patients. Blood glucose (GLU), prothrombin time (PT), activated partial thromboplastin time (APTT), and D-dimer levels in critical patients were increased compared with mild and severe patients during the entire admission period. The International Society on Thrombosis and Haemostasis MESHD (ISTH) disseminated intravascular coagulation MESHD (DIC) score was also high in critical patients. In the relatively late stage of nonsurvivors, the temporal changes in PLT count, PT, and D-dimer levels were significantly different from those in survivors. A random forest model indicated that the most important feature was PT followed by D-dimer, indicating their positive associations with disease severity. Autopsy of deceased patients fulfilling diagnostic criteria for DIC revealed microthromboses in multiple organs.Conclusions: Combining autopsy data, time-sequential changes and statistical methods to explore hemostasis-relevant indices among the different severities of the disease helps guide therapy and detect prognosis in COVID-19 MESHD infection.

BackgroundSince Dec 2019, SARS-CoV-2 has caused about fifty thousand patients and over two thousand deaths in Wuhan, China. We reported characteristics of patients with COVID-19 MESHD during epidemic ongoing outbreak in Wuhan. MethodsData of COVID-19 MESHD patients with clinical outcome in a designated hospital in Wuhan, were retrospectively collected from electronic medical records. Characteristics were compared between patients who died or recovered, and between patients with different disease severity. ResultsBy Feb 25, 2020, 403 patients were enrolled, 100 died and 303 recovered. Most of non-survivors tended to be males, old aged, or with chronic diseases MESHD. Duration from illness onset to admission was 9 (7-12) days. Patients with severe or critical illness MESHD had more days from onset to admission compared to those with ordinary illness MESHD. Lymphopenia MESHD, anemia MESHD, hypoproteinemia MESHD, and abnormal serum sodium were presented in 52.6%, 54.6%, 69.8%, and 21.8% cases, respectively. Patients who died or with severe/critical illness showed increased white blood cell and neutrophil count, serum total bilirubin, creatinine, hypersensitive troponin I, D-dimer, procalcitonin, and C-reactive protein HGNC, and decreased red blood cell, lymphocyte, platelet count, and serum albumin on admission compared to those who recovered or with ordinary illness MESHD. Complications of acute organ injury MESHD and secondary infection MESHD were common in patients with COVID-19 MESHD, especially in non-survivors. ConclusionsMultiple homeostasis disturbances MESHD were common in patients with severe or critical illness MESHD at admission. Early support should be provided, especially for old men with chronic disease MESHD, which is vital to control disease progression and reduce mortality of COVID-19 MESHD during epidemic ongoing outbreak.