covid-19

Determining the extent of immunity induced by booster doses of COVID-19 vaccinations is crucial for informing recommendations for booster dose regimens as well as constant adjustments of immunization strategies amongst different groups of people within the population. The study involved 31 healthy volunteers (majority were healthcare professionals) who completed either vaccination course with Pfizer or Moderna mRNA vaccines and received a third dose of the vaccine. Here we report results on the evaluation of an antibody response to four different SARS-CoV-2 antigens: RBD, S1, S2 and nucleocapsid prior to third dose and two and four weeks after a booster vaccination. We detected a peak of high titers of antibodies after the third dose with a gradual decline after four weeks. No significant differences were seen between the two vaccines in terms of antibody response. There were no gender discrepancies between the two vaccines. Our results suggest that: third doses are necessary due to the emergence of different SARS-CoV-2 variants and postvaccination antibody testing continues be essential in determining possible standardization of SARS-CoV-2 vaccines regimens.

The pandemic the new Coronavirus infection has brought changes in the health status of a large number of our citizens. The consequence of this has been a higher rate of employees seeking medical care and subsequent sick leave. Crisis phenomena in the economic and social life of society are associated with the consequences of the pandemic, moreover, the stress burden on the population increases with the consequences of the pandemic. All this affects the level of performance. The transferred COVID-19 has increased the number of patients with complaints of pain in joints and muscles, with the phenomena of cardiovascular pathology, as well as in breathing, increased frequency of asthma attacks, etc. That is, complications affected a wide range of diseases [1-4]. All this is the consequence, including neurological pathology, which is closely related to stress. According to surveys of several large industrial enterprises, 31.7% of those seeking medical help report anxiety, sleep problems, and a feeling of fatigue [5]. Exacerbation of chronic diseases was recorded in more than 50% of patients with COVID-19. The figures show that more than 1/3 of the population is chronically unwell, and more often than usual they apply for sick leave, which inevitably leads to a decrease in economic indicators [6-10].

Although emotion management is essential to mental health, public health has not paid much attention to emotional conditions or disorders. By analyzing a nine-year diagnostic trend and sociodemographic characteristics of two mental disorders: Hwabyung and Intermittent Explosive Disorder (IED), this study demonstrated the importance of managing emotions precautionarily.Data reconstructed from the National Health Insurance Service were used to analyze the yearly diagnostic trend in the two mental disorders characterized by anger.Hwabyung was more common among women and middle-aged individuals, despite the varied number of diagnoses by year. Between 2010 and 2018, IED diagnoses gradually rose, with the average rate of increase the highest in the 20s for male IED diagnoses in 2017. The low prevalence of the IED in Korea compared to other Western countries and the gender and age differences in both Hwabyung and IED diagnoses suggest the role of cultural influences related to emotions (or emotional management).Especially in light of the world’s emphasis on resilience to COVID-19, these results indicate how public emotional management is essential during stressful situations. The results also highlight the need for community mental health programs tailored to gender and age.

In the long run people around the globe particularly those who live in underdeveloped Countries in Africa, especially in Ethiopia a large number of communities has a misconception that disease may be transmitted by utilizing health service due to a lack of trust in health service delivery system, Most of the population strongly related with religion, they claimed that it is sin or God or Allah driven. According to a health behavior model, knowledge and practice are contributing factors for increasing healthcare seeking among patients with low levels of trust [1,2]. 

The last four decades have been particularly marked by devastating diseases. During this period, humanity hasexperienced plagues such as SARS, bird Flu, Ebola, Chikun-gunya, COVID-19 in addition to diseases that were already decimating populations.

Disruption to contrast agent supply chains for radiology investigations has become an additional consequence of the COVID-19 pandemic. Various recommendations, including dose reductions and choices of alternative agents, have been made to help account for this limited availability. This case demonstrated how two separate CT venograms with different contrast agents, undertaken on the same day for the same patient, yielded different results; venous thromboses were more prominent in the subsequent scan. Although there was some evidence of venous sinus thrombosis on the first scan, repeat imaging was required to further characterize the lesions identified. The case exemplifies the notion that diagnostic imaging should always be guided by a detailed history and examination. It also raises the discussion point of whether more strict or uniform protocols should be developed to facilitate contrast administration for radiology investigations. It is important that appropriate doses are always administered to maximize diagnostic yield.

Background: The clinical manifestations of Corona Virus Disease of 2019 (COVID-19) varied from patient to patient with evidence of multi-organ involvement. Many patients continue to have a wide range of symptoms for variable periods of time. The long-term effects of COVID-19 infection (post-COVID-19 illness or syndrome) are not yet been fully explored.This study aims to highlight the clinical manifestations of the acute COVID-19 infection and the longer-term manifestations of the disease among the attendants to a private GP clinic in the Urban Amman Area, Jordan.Methods: A clinical case-series study was conducted on a sample of 300 COVID-19-positive cases among patients attending my private GP clinic in the Urban Amman Area, Jordan. We used the structured questionnaire based mainly on World Health Organization (WHO) Case Report Form (CRF) verified tool for post-COVID-19. All patients with COVID-19 were included in the study. Data collection was conducted through phone calls and analyzed using the Statistical Package for Social Sciences (SPSS) software. Results: The incidence of COVID-19 among patients attending the clinic during the period of this study was 25%. Females were 135 (45%) of the study population and males were 165 (55%). The mean (SD) of age was 34.2 (5.0) years. Most of the infected staff (90%) were symptomatic and developed acute COVID-19 symptoms. Fever, Cough, Fatigue, joint pain and loss of smell and taste were the most common symptoms. 72% of the study population had fully recovered from the infection, while 28% of them continued to suffer from many long symptoms. Fatigue (28%), shortness of breath on activity (18%), Social withdrawal (18%), anxiety (17%), forgetfulness (16%), trouble concentrating (15) and depressed mood (14%) were the most frequently reported long symptoms.Conclusion: The prevalence of Post COVID-19 illness was 28% with a high public health burden calling for the public health system to address the medical and psychological needs of affected persons. Mental health and psychosocial support are recommended elements for the management of patients.

In administrative and economic science, factor analysis models are essential for their explanatory capacity of institutional responses to risk events. The objective of this document was to contrast a model that explains the emergence of corporate governance dimensions in the face of the pandemic. An exploratory study was carried out based on a systematic review of the literature from 2020 to 2023, considering the search by keywords in Google scholar and Microsoft academic, as well as the judges from a public university in the center of Mexico. The results show that corporate identity explains the university’s response to the pandemic. In relation to the state of the art, the scope and limits of the model are discussed in other proposals.

The COVID-19 Pandemic, which began in March 2020, and its associated surges, had an immense impact on our medical staff and their ability to perform their daily duties.The COVID-19 Pandemic necessitated hospital modifications, including the expansion of the Emergency Department, ICU, and Isolation units. The overwhelmed staff and overburdened ER and ICU required adjustments to deal with the Inpatient impasse. For example, temporary patient care rooms needed to be set up for the overflow of patients. The tsunami of the Pandemic almost overwhelmed our hospital.With the challenges presented to our hospital during the Pandemic, we needed a fresh perspective to our multi-disciplinary approach. Thus, we fathomed that the use and cost-effectiveness of both Dalbavancin, a long-acting lipoglycopeptide antibiotic combined with the diagnostic Moleculight Imaging Device would be a sound decision.We hypothesized that with the use of this cost-effective antibiotic in conjunction with the use of the Moleculight Imaging Device, with its fluorescent imaging, we could detect the presence of bacteria and assist our wound treatment and decision-making.A shift in patients from the Emergency Room/Inpatient Department to the Outpatient Department/Wound Care Center was made possible with the use of these two novel products.

Oxidative stress has been implicated in Alzheimer’s and many other diseases and more recently, it has been linked to various COVID-19-related symptoms. Many diseases do not develop immediately as a result of the accumulated causes or injury, but rather, as a result of prolonged exposure to elevated oxidative stress, which disrupts the body’s natural homeostatic functions.

Introduction: The spread of SARS-CoV-2 cases grew exponentially. In Mexico, it focused mainly on containing the disease and adopting activities and actions to mitigate it. Hospital reconversion was a fundamental strategy in the management of care for patients with COVID-19.Objective: To know the clinical characteristics of patients admitted with respiratory disease and probable COVID-19 in the Zacatecas General Hospital “Luz González Cosío” México.Material and methods: Descriptive, cross-sectional, and analytical study, at the General Hospital, from March 2019 to September 2021; using data from the Respiratory Disease Surveillance System. Data from patients admitted with a diagnosis of some pathology of respiratory disease and probable COVID-19 were analyzed.Results: We included 2,678 diagnosed with respiratory disease and a mean age; of 47.6 ± 21.6 gender distribution was almost equal; women 1,344 (51.0%). positive result to COVID-19 by PCR; 1,654 negatives; 900 and 124 without result. 193 (7.0%) required mechanical ventilation. The presence of comorbidities was evaluated; type 2 diabetes mellitus, systemic arterial hypertension, obesity, alone and together. Also the association of the age factor, as well as the lethality index; was 531 (19.6%).Discussion: What has been published in other studies about comorbidities and their influence on the severity of COVID-19 is confirmed, disagreeing on the case fatality rate; 20.7% against what was reported; 17.6% in other countries for COVID-19 hospitalized. An age variable was used as a risk factor with a cut-off point > 45 years; (FRE), obtaining; RR 3.42 (95% CI 2.79 to 4.19) and an odds ratio of 4.015 in binary logistic regression analysis. Reported male mortality (OR = 1.45; 95% CI: 1.41–1.51) according to our OR results; 1,45.Conclusion: The present study shows how certain chronic diseases influenced respiratory disease to present a serious state, regardless of the positive or negative result of COVID-19.

Introduction: Severe cases of COVID-19 presented a high incidence of multi-organ dysfunction syndrome (MODS) during their evolution. This was attributed to a theoretical cytokine storm, where microcirculatory disorders would play a fundamental role, causing these patients to present a sepsis-like pattern as observed in sublingual microcirculation studies. The evidence in this regard is controversial. The Peripheral Perfusion Index is a reliable method to continuously and non-invasively assess the microcirculatory bed, which assesses the pulsatile (PPI) component of the plethysmographic pulse curve.Methods: We conducted a prospective observational study to evaluate the behavior of the PPI in patients with severe respiratory failure due to SARS-CoV-2 and its association with SDOM.Results: We evaluated 60 patients with APACHE II 14.6 ± 4.4 and SOFA 4.7 ± 2.1. 55% of the patients presented SDOM. Perfusion monitoring showed IP values of 5.32 ± 1.87 that were associated with normal lactate levels of 1.49 mmol/L (min 0.89/ max 2.20 mmol/L). The PPI values between the living and the dead did not show a significant difference (p = 0.854) or the presence of SDOM.The PPI values between the patients who presented renal failure, hemodynamics, or perfusion disorders were determined by the presence of hyperlactatemia, and for those who did not present these characteristics, no statistical difference was found; neither when stratified by PaFiO2 ratio. Mortality was 55%.Conclusion: In our series of patients with severe pneumonia due to COVID-19, we found high PPI values, which would correspond to a pattern of capillary recruitment, and the associated organ injury could not be substantiated by this phenomenon.

Introduction: Infection and the accompanying inflammation of the upper and lower respiratory tract, influenza and COVID-19, are among the deadliest diseases in human life in the world. Due to the high emergence of bacterial resistance to antibiotics, we strive to find alternatives to contribute to the treatment by using a new formulation of a mixture of six essential oils in the form of a drop called Respira drops for a therapeutic approach to the upper or lower parts of the respiratory system infection, either by inhalation or sniffing, or by touching it with the body in the form of a skin patch on the head, neck, or chest. The present study suggested that natural essential oils may act as a prophylactic and therapeutic agent in respiratory tract hypoxia, inflammation, and bacterial and viral infection (influenza and COVID-19).Case presentation: A 62-year-old Yemeni man was suffering from acute pneumonia and had used antibiotics his condition improved, but he was suffering from difficulty breathing and stayed on the use of oxygen at home for more than three months, and his SpO2 ranged between 75 to 85 and he also suffered from an abdominal hernia, and he went for a procedure Surgery, and when the SpO2 was measured at 86, the surgery was not completed as a result, so he used Respira drops by inhalation and by steam for twenty-four hours and the next day he went to the hospital and the SpO2 was measured 96 and the operation was performed and he continued using Respira for two weeks three times per day and his condition improved completely.Conclusion: The present case study shows the excellent therapeutic response for Respira drops as inhalation and smiling three times per day increased SpO2 levels which reflect the anti-inflammatory, antimicrobial and anti-viral effects (influenza and COVID-19).

Originating from China in 2019, the novel Coronavirus Disease 2019 (COVID-19) pandemic had badly affected most of the world causing immense morbidity and mortality. The disease in moderate to severe cases was characterized by intense inflammation leading to ARDS and hypercoagulable states leading to thrombo-embolism and mortality.Aim: This study aimed to explore the association of inflammatory biomarkers with COVID-19 disease severity in our hospital which became a dedicated COVID hospital during the pandemic.

Coronavirus disease (COVID-19) is a viral pneumonia that is found in China and has spread globally. Early diagnosis is important for effective and timely treatment. Thus, many ongoing studies attempt to solve key COVID-19 problems such as workload classification, detection, and differentiation from other pneumonia and healthy lungs using different imaging modalities. Researchers have identified some limitations in the deployment of deep learning methods to detect COVID-19, but there are still unmet challenges to be addressed. The use of binary classifiers or building classifiers based on only a few classes is some of the limitations that most of the existing research on the COVID-19 classification problem suffers from. Additionally, most prior studies have focused on model or ensemble models that depend on a flat single-feature imaging modality without using any clinical information or benefiting from the hierarchical structure of pneumonia, which leads to clinical challenges, and evaluated their systems using a small public dataset. Additionally, reliance on diagnostic processes based on CT as the main imaging modality, ignoring chest X-rays. Radiologists, computer scientists, and physicians all need to come to an understanding of these interdisciplinary issues. This article first highlights the challenges of deep learning deployment for COVID-19 detection using a literature review and document analysis. Second, it provides six key recommendations that could assist future researchers in this field in improving the diagnostic process for COVID-19. However, there is a need for a collective effort from all of them to consider the provided recommendations to effectively solve these issues.

Introduction: Child Protection Services (CPSs) are dedicated to providing protection and responding to any threats a child could face as children worldwide could be abused. Recently, the COVID-19 pandemic affected all aspects of life. Procedures implemented to restrict the spread of the disease (such as reduced access to services, school closure, and social distancing measures) had an impact on child life and maltreatment. Therefore, it is important to know the impact of this pandemic on child abuse and protection. Aim and rationales: This study aimed to assess the impact of COVID-19 on CPSs in Oman by studying the change in the number of reported cases of child abuse and the change in the reporting procedure at the Ministry of Social Development (MOSD). In addition, know the impact of the restriction measures on child rights and risk factors of child maltreatment based on CPSs workers’ opinions and experience. To understand the adaptation of the CPSs to the change in work and life environment imposed by COVID-19. Method: A cross-section study was conducted using a semi-structured questionnaire, that was distributed to the workers involved in the CPSs at the MOSD in Oman. Data also were collected from the statistical bulletins on the Ministry’s website. Results: COVID-19 pandemic was not found associated with a significant change in the number and type of child abuse cases reported to the MOSD. The reporting procedures also did not change. In addition, the pattern of child abuse types did not change before and during the pandemic, as neglect cases were the most. The participants judged the restriction measures affecting family life through separation, cyber abuse, and reduced educational support. With regard to intervention and follow-up procedures, the main difference was in the communication processes by using online communication methods and reducing the fieldwork for mild cases.Conclusion: CPSs in Oman were not much affected by the COVID-19 pandemic, which may reflect the success of this system in dealing with the restriction measures. However, more solutions should be developed to adapt to these circumstances in the future altogether.

This article investigates the viability of SARS-CoV-2 and its dependence on pH levels, specifically focusing on the difference between the pH stability intervals for the coronavirus and human blood. Human blood typically maintains a pH range of around 7.35 to 7.45, while SARS-CoV-2 exhibits stability within the pH range of 6.0 to 6.5. The study aims to elucidate the critical role of hemoglobin in maintaining pH balance and explores its implications for viral susceptibility. The findings emphasize the importance of reinforcing the alkalinity of the medium as a means to weaken the virus. The research contributes to the understanding of pH-dependent mechanisms in viral infections and provides valuable insights for the development of potential therapeutic strategies.

Background: In light of the COVID-19 pandemic and the health crisis left in its wake, our goal is to develop extensive machine-learning techniques to provide a clear picture of the treatment, and possible mistreatment, of specific patient demographics during hospital triaging.Objective: We aim to reveal whether a patient’s treatment and hospital disposition is related to the following attributes - Emergency Severity Index (ESI), gender, employment status, insurance status, race, or ethnicity which our 100 MB dataset included.Materials and methods: Our work is separated into two parts - the classification task and data analysis. As part of the classification task, we used the k-Nearest-Neighbor classifier, the F1-score, and a random forest. We then analyze the data using SHapley Additive exPlanations (SHAP) values to determine the importance of each attribute.Results: Our findings show that significance varies for each attribute. Notably, we found that patients with private insurance programs receive better treatment compared to patients with federal-run healthcare programs (e.g. Medicaid, Medicare). Furthermore, a patient’s ethnicity has a greater impact on treatment for patients under 40 years of age for any given ESI level. Surprisingly, our findings show language is not a barrier during treatment.Discussion and conclusion: We, therefore, conclude that although hospitals may not be doing so intentionally, there is a systemic bias in hospital triaging for specific patient demographics. For future works, we hope to aggregate additional patient data from hospitals to find whether specific demographics of patients receive better healthcare in different parts of the United States.

The well-documented therapeutic potential of group singing for patients living with Alzheimer’s disease (PLAD) has been hindered by COVID-19 restrictions, exacerbating loneliness and cognitive decline among seniors in residential and long-term care centers (CHSLDs). Addressing this challenge, the multidisciplinary study aims to develop a patient-oriented virtual reality (XR) interaction system facilitating group singing for mental health support during confinement and enhancing the understanding of the links between Alzheimer’s disease, social interaction, and singing. The researchers also propose to establish an early AD detection system using voice, facial, and non-invasive biometric measurements and validate the efficacy of selected intervention practices. The methodology involves co-designing an intelligent environment with caregivers to support PLAD mental health through online group singing, addressing existing constraints in CHSLDs. The researchers will engage volunteers in remote singing interactions and validate the impact of voice stimulation for PLADs using a control group. The primary expected outcome is the development of an “Intelligent Learning Health Environment,” fostering interactions while adapting to individual PLAD situations and incrementally accumulating knowledge on AD signs. This environment will facilitate the transfer of knowledge and technologies to promote non-verbal interactions via singing, enabling intervention at the first symptoms. Additionally, the research will contribute to transforming CHSLDs’ living environments, informed by neuroscience insights, and potentially extend the “collaborative self-care” approach to support seniors in aging safely and healthily at home.

The 2019 COVID-19 pandemic caused by SARS-CoV-2 has resulted in many fatalities worldwide. Despite various types of supportive care, mortality rates for patients with comorbidities remain high. To explore alternative treatment options, interferons (IFNs) have emerged as promising therapeutic drugs for SARS-CoV-2. This review aims to investigate the potential of IFNs as a drug with details on their mechanisms of action, and available data on their use with ongoing clinical trials, results, potential limitations, and challenges.  Recently published research articles, which are systematically searched through online databases, have been selected and found that IFNs have colossal potential in treating SARS-CoV-2 infection by modulating the host’s immune response and inhibiting viral replication and decreasing the severity of disease and hospitalization (p = 0.03, ± 0.05) and (p = 0.04, ± 0.05) respectively. However, due to less available data, more controlled and randomized trials are needed to confirm the efficacy and safety of IFN therapy.  The optimal dosing and duration of IFN therapy also remain to be determined. Although further research is needed the wait for ongoing clinical trial results under investigation is also important for a better understanding of IFN therapy.