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An effective and efficient airport service can be achieved if all components involved are well organized in a short time. During the Covid-19 pandemic, airplane passengers must allocate more time at the airport departure terminal to fly. The time spent includes the Covid-19 test, verification of negative results of the Covid-19 test, inspection time at the departure terminal entrance, time for check-in procedures, inspection at the entrance of the departure waiting room and time waiting for departure in the waiting room before boarding the plane. The travel component affects the value issued by airplane passengers, that is the Value of Time. PT. Angkasa Pura II as the service operator of Sultan Iskandar Muda International Airport and the government as a policymaker, need to pay significant attention to the time value of each aircraft passenger spent on air travel. This study aims to analyze the distribution of the average time value allocated for the Covid-19 Health Protocol procedure at the departure terminal of Sultan Iskandar Muda International Airport. It also explores the distribution of the time value of passengers during the departure process at the departure terminal of Sultan Iskandar Muda International Airport based on existing travel components and the relationship between the two. This study used a quantitative method approach through a questionnaire. The respondents are airplane passengers in the departure waiting room of the airport terminal. The data analysis technique used is stated preference. The multiple linear regression test results obtained that the passenger's age and place of origin significantly affect the time spent by passengers at the airport. The loss of time value of airplane passengers at Sultan Iskandar Muda International Airport is Rp. 5,719/person/hour. The factor that affects the passenger time value results is that almost all the answers given are homogeneous due to the limited choice of answers given due to flight restrictions due to the Covid-19 pandemic. © 2023 Author(s).
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Introduction: Nirmatrelvir/ritonavir is a new medication approved for the treatment of COVID-19 infection. It prevents viral replication by inhibiting the SARS-CoV-2 main protease. While mild adverse effects were described, including dysgeusia, diarrhea, hypertension and myalgia1, there were no reported cases of pancreatitis. Case Description/Methods: An 81-year-old female with a past medical history of hypertension and COPD presented to the hospital complaining of abdominal pain and nausea for one day. She had no history of alcohol, tobacco or marijuana use, recent travel, or trauma. Her medications included lisinopril and prednisone, and she had completed a 5-day course of nirmatrelvir/ritonavir for the treatment of COVID-19 infection 2 days prior to presentation. On abdominal exam, she had left upper and lower quadrant tenderness. Blood tests revealed an amylase of 1333 U/L, lipase of 3779 U/L, triglycerides of 297 mg/dL and calcium of 8.7 mg/dL. CT scan revealed an indurated pancreatic body and tail with peripancreatic fluid along the paracolic gutter. Ultrasound of the abdomen and MRCP did not reveal any acute findings. IgG subclasses 1-4 were normal. Discussion(s): According to the revised Atlanta criteria, the patient had clinical findings consistent with acute pancreatitis. Common causes such as gallstone, alcohol, autoimmune and hypertriglyceridemiainduced pancreatitis were ruled out. There were no masses or structural abnormalities on imaging that might have explained her diagnosis. There have been at least 2 reported cases of lisinopril and prednisone induced pancreatitis, however according to Badalov et al.2 both of these medications are class III drugs that lack any rechallenge in the literature. Moreover, the patient had been taking these medications for many years, making them an unlikely cause of the presenting diagnosis. There are no reports of nirmatrelvir/ritonavir associated pancreatitis or known pharmacologic interaction with her home medications, and a meta-analysis conducted by Babajide et al. revealed no association between acute pancreatitis and COVID-19 infection (3). Given the negative findings stated above and the recent initiation of a new medication, nirmatrelvir/ritonavir was the likely cause of acute pancreatitis.
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The internet of things (IoT) is a widely used technology in day-to-day life and in many business fields. the applications of IoT are used in many businesses and in marketing as main part of business activities, but during the coronavirus pandemic, IoT was intensively used, as a practical solution to many challenges. In this paper, the use of IoT is discussed generally in business such as in supply chain and logistics, human resources management, and in organizational performance. The paper will also tackle the use of IoT in both marketing and business activities and finally discussing some of the limitations and challenges businesses face when implementing IoT. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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AJOL : This study is carried out to find novel active drug candidates which can effectively bind to key residues of main protease (Mpro) of SARSCoV-2. We performed molecular docking of fifty-seven (57) ligands from two classes: vanillylacetone and its derivatives and beta-hydroxy ketone derivatives against Mpro of SARS-CoV-2. We also docked three antiviral drugs as reference/benchmark drugs including remdesivir (RDV), chloroquine (CQ), and hydroxychloroquine (HCQ) against Mpro for comparison of inhibition tendencies of selected ligands. Binding energies of our reference drugs are as: CQ = -5.1 kcal mol-1 (with predicted inhibition constant (Ki pred) = 177 µmol), HCQ = -5.7 kcal mol-1 (Ki pred = 64.07 µmol) and RDV -6.3 kcal mol-1 (Ki pred = 13.95 µmol). We got remarkable results for our docked ligands as 79% of total ligands indicated binding energies better than CQ, 39 % better than both HCQ and CQ, and 19 % better than all reference drugs. More interestingly interaction analysis of eight best-docked ligands showed that they interacted with desired key residues of Mpro. We further selected the four best-docked ligands L1 = -6.6 kcal mol-1 (Ki pred =13.95 µmol), L6 = -7.0 kcal mol-1 (Ki pred = 7.08 µmol), L34 = -6.0 kcal mol-1 (Ki pred = 38.54 µmol), and L50 = -6.6 kcal mol-1 (Ki pred =13.95 µmol) for further analysis by quantum chemical study, molecular dynamic (MD) simulations and ADMET analysis. We have also carried out MD-simulations of six more docked ligand L2, L14, L20, L36, L46 and L48 some of which were showing weak binding affinities and some average binding affinities to check their simulation behavior. Their RMSD, RMSF and binding free energy results were also quite satisfying. We believe the current investigation will evoke the scientific community and highlights the potential of selected compounds for potential use as antiviral compounds against Mpro of SARS-CoV-2
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Background: Adequate supply of health workforce with proper skills is essential to deliver appropriate health services in normal times and during disasters. Objective: To describe the role of the Saudi Temporary Contracting and Visiting Doctors Program in the provision of critical care during COVID-19 pandemic, and in the clearance of the surgical backlog thereafter. Methods: We reviewed reports of General Directorate of Health Services and Saudi Ministry of Health annual statistical books to obtain the following data: number of temporary healthcare professionals contracted from 2019 to 2022; number of intensive care unit beds before and during COVID-19 pandemic; volume of elective surgeries before, during and after COVID-19 pandemic. Results: In 2020, intensive care unit beds increased from 6341 to 9306 in governmental hospitals in response to COVID-19 pandemic. A total of 3539 temporary healthcare professionals were recruited from April to August 2020 to contribute towards staffing the added beds. During the recovery period from COVID-19 pandemic, 4322 and 4917 temporary health care professionals were recruited in 2021and 2022 respectively. Elective surgeries volume increased from 5074 in September 2020 to 17533 in September 2021 to 26242 in September 2022, surpassing the volume of surgeries in pre-COVID-19 period. Conclusions: In response to COVID-19 pandemic, and through the existing temporary contracting program, the Saudi Ministry of Health was able to recruit temporary staff of verified credentials in a timely manner, to supplement the existing staff, for activation of the newly added intensive care unit beds, and for clearing the resulting surgical backlog.
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Background: Diabetes mellitus (DM) represents one of the most common metabolic diseases in the world, with rising prevalence in recent decades. Most cases are generally classified into two major pathophysiological categories: type 1 diabetes mellitus (DM1), which progresses with absolute insulin deficiency and can be identified by genetic and pancreatic islet autoimmunity markers, and type 2 diabetes mellitus (DM2), which is the most prevalent form and involves a combination of resistance to the action of insulin with an insufficient compensatory response of insulin secretion. In the last two decades, in parallel with the increase in childhood obesity, there has also been an increase in the incidence of DM2 in young people in some populations. Other forms of diabetes may affect children and adolescents, such as monogenic diabetes (neonatal diabetes, MODY – maturity onset diabetes of the young, mitochondrial diabetes, and lipoatrophic diabetes), diabetes secondary to other pancreatic diseases, endocrinopathies, infections and cytotoxic drugs, and diabetes related to certain genetic syndromes, which may involve different treatments and prognoses. DM1 is considered an immuno-mediated disease that develops as a result of gradual destruction of insulin-producing pancreatic beta cells that eventually results in their total loss and complete dependence on exogenous insulin. Clinical presentation can occur at any age, but most patients will be diagnosed before the age of 30 years
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Background: Respiratory therapists (RTs) provide various types of patient care in different clinical settings. Burnout can have an undesirable effect on RTs and their patients. Managing the COVID-19 pandemic, specifically in hospitals, could induce stress in RTs and increase the likelihood of burnout. Therefore, this study aimed to measure the level of burnout among RTs during the COVID-19 pandemic.Method: A validated cross-sectional questionnaire was used to identify the prevalence and characteristics of burnout among RTs. The questionnaire was administered by the respiratory care department of a tertiary healthcare center in Riyadh, Saudi Arabia. The data analysis included descriptive, inferential, and correlational tests.Results: The survey was distributed among 100 RTs with a response rate of 66%. Most respondents reported high burnout levels in the three domains of burnout: 77% reported emotional exhaustion, 98% reported depersonalization, and 73% reported low personal achievement. Univariate analysis revealed that emotional exhaustion was significantly higher among RTs who were male, married, or working in critical care settings. Female RTs and those working in general care settings reported feelings of reduced personal achievement. Furthermore, the analysis revealed a moderate positive correlation between the years of experience and emotional exhaustion (r=0.6, p<0.001).Conclusions: A high prevalence of burnout was observed among RTs in one Saudi tertiary hospital. Burnout is associated with several factors, and interventions should target all domains of burnout. RT management and staff are responsible for addressing their needs and collaboratively working together to overcome burnout. Further investigations focusing on techniques and strategies to alleviate burnout are required.
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Background. Therapeutic vaccination following SARS-CoV-2 infection might stimulate anti-viral immunity and improve patient outcomes. We investigated, amongst previously unvaccinated patients, whether vaccination with the Pfizer, Moderna, or Johnson & Johnson vaccines within 14 days of a positive SARS-CoV-2 test affected 30-day patient outcomes. Methods. Using a deidentified national electronic health record dataset (Optum, Inc.), we identified previously unvaccinated patients who tested positive forCOVID-19 between 12/11/2020 and 12/19/2021. Among this cohort, 1,909 patients received a first vaccine dose within 14 days (vaccinated) while 446,309 did not receive a first dose of vaccine within 30 days of their first positive test (unvaccinated). We performed 1:1 propensity score matching based on age, gender, race, ethnicity, region, BMI, insurance, and comorbidities from the Charlson Comorbidity Index. Next, we compared odds of severe outcomes within 30 days between vaccinated and unvaccinated groups using a partial proportional odds model with the following ordinal severity outcome: no hospitalization, hospitalization, ICU stay, or death (Stata version 17.0, alpha = 0.05). Results. 1,909 vaccinated patients were propensity score-matched to 1,909 unvaccinated patients. The final matched cohort was statistically indistinguishable (p > 0.05) for all metrics used in propensity score calculation. This matched cohort (n = 3,818) was 58.6% female, 67.7% white, 12.6% Hispanic, and 56.4% commercially insured, with a mean age of 50.6 years and a similar comorbidity profile. A partial proportional odds model showed that unvaccinated patients were at increased risk for hospitalization and higher ordered outcomes (OR = 1.19, 95% CI: 1.02-1.39), ICU stay and higher ordered outcomes (OR 1.63, 95% CI: 1.21-2.20), and death (OR 4.57, 95% CI: 2.50-8.37). Conclusion. Among previously unvaccinated patients, those who received a first dose vaccine within 14 days of a positive COVID-19 test were less likely to experience hospitalization, ICU stay, or death compared to matched peers who did not receive a first dose in the acute phase of infection. The sample size of patients vaccinated during the acute phase is limited, so further studies are indicated to evaluate the safety and efficacy of this practice.
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Background. As the risk for concomitant COVID-19 infection in people living with HIV (PLHIV) remains largely unknown, we explored a large national database to identify risk factors for COVID-19 infection among PLHIV. Methods. Using the COVID-19 OPTUM de-identified national multicenter database, we identified 29,393 PLHIV with either a positive HIV test or documented HIV ICD9/10 codes. Using a multiple logistic regression model, we compared risk factors among PLHIV, who tested positive for COVID-19 (5,134) and those who tested negative (24,259) from January 20, 2020, to January 20, 2022. We then compared secondary outcomes including hospitalization, Intensive Care Unit (ICU) stay, and death within 30 days of test among the 2 cohorts, adjusting for COVID-19 positivity and covariates. We adjusted all models for the following covariates: age, gender, race, ethnicity, U.S. region, insurance type, adjusted Charlson Comorbidity Index (CCI), Body Mass Index (BMI), and smoking status. Results. Among PLHIV, factors associated with higher odds for acquiring COVID-19 (Figure 1) included lower age (compared to age group 18-49, age groups 50-64 and >65 were associated with odds ratios (OR) of 0.8 and 0.75, P= 0.001), female gender (compared to males, OR 1.06, P= 0.07), Hispanic White ethnicity/race (OR 2.75, P=0.001),Asian (OR 1.35, P=0.04), and AfricanAmerican (OR1.23, P=0.001) [compared to non-Hispanic White], living in the U.S. South (compared to the Northeast, OR 2.18, P= 0.001), being uninsured (compared to commercial insurance, OR 1.46, P= 0.001), higher CCI (OR 1.025, P= 0.001), higher BMI category (compared to having BMI< 30, Obesity category 1 or 2,OR 1.2 and obesity category 3,OR1.34, P=0.001), and noncurrent smoking status (compared to current smoker, OR 1.46, P= 0.001). Compared to PLHIV who tested negative for COVID-19, PLHIV who tested positive, had an OR 1.01 for hospitalization (P = 0.79), 1.03 for ICU stay (P=0.73), and 1.47 for death (P=0.001). Conclusion. Our study found that among PLHIV, being Hispanic, living in the South, lacking insurance, having higher BMI, and higher CCI scores were associated with increased odds of testing positive for COVID-19. PLHIV who tested positive for COVID-19 had higher odds of death. (Figure Presented).
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Background. The percentage of children infected with COVID-19 has outpaced that of adults. As children >5 years are now eligible to receive vaccines, it is necessary to understand the effect of vaccination in the context of demographic characteristics, clinical factors, and variants on pediatric COVID-19 illness severity. Methods. Weconducted a descriptive study of patients<=18 years fromthe Optum COVID-19 electronic health record dataset. Patients were included if positive for COVID-19 by polymerase chain reaction or antigen testing for the first time from 3/ 12/2020 to 1/20/2022. We compare race and ethnicity, age, gender, US region of residence, vaccination status, body mass index (BMI), pediatric comorbidity index (PCI) (Sun, Am. J. Epidemiol. 2021), and predominant variant (by time and region) with 2-tailed t-test, multi-category chi-square test, and odds ratios (R version 4.1.2;alpha = 0.05). PCI is a validated comorbidity index predicting hospitalization in pediatric patients. Results. Of all pediatric patients in our dataset, 165,468 (13.2%) tested positive for COVID-19. 3,087 (1.9%) were hospitalized, 1,417 (0.9%) were admitted to the ICU, 1545 (0.9%) received respiratory support, and 31 (0.02%) died, comparable to AAP-reported hospitalization and mortality rates in US children. Patients with severe outcomes were more likely to be younger, non-Caucasian, from the US South, unvaccinated, and have a higher PCI (Figure 1). Excluding non-severe outcomes, rates of death and ICU admission were higher in 0-4-year-olds compared to 5-11 or 12- 18-year-olds (Figure 2). All patients receiving at least one dose of the vaccine survived. The odds ratio of a severe outcome is 0.11 (95% CI 0.07-0.16) in fully vaccinated patients compared to unvaccinated patients. The odds ratio of a severe outcome is 0.55 (95% CI 0.49-0.63) in partially vaccinated patients compared to unvaccinated patients. Demographic and clinical characteristics of pediatric patients with COVID-19 Conclusion. In this large population, incidence rate of severe outcomes from COVID-19 in pediatric patients was higher among non-Caucasian patients, living in the South, with underlying comorbid illness, and those not yet eligible for vaccination. These findings reinforce the need for a vaccine for younger patients and targeted vaccine outreach to racial and ethnic minorities and children with chronic conditions. (Figure Presented).
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BACKGROUND: Mycobacterium tuberculosis infection causes the release of pro-inflammatory cytokines affecting hemostasis. Although the plasminogen activator inhibitor-1 (PAI-1) has a vital role in the fibrinolysis system, little is known about its profile among people with latent tuberculosis (TB). METHODS: This is a cross-sectional study that involves 80 healthcare workers. The study was conducted in two academic medical centers of Makassar city, Indonesia, from September to October 2021. PAI-1 levels were measured using the enzyme-linked immunosorbent assay technique. The statistical test results were significant if p < 0.05. RESULTS: Although there was no statistically significant difference (p > 0.05) in PAI-1 levels, PAI-1 level among participants in the latent TB infection (LTBI) group was found to be lower (4.9 ng/mL) than in the healthy control group (6.0 ng/mL). In addition, participants in the LTBI group with a history of being infected (9.6 ng/mL) with the COVID-19 had higher PAI-1 levels than those who had never been infected (2.3 ng/mL), which is statistically significant (p = 0.004). Although there was no statistically significant difference (p > 0.05) in PAI-1 levels among participants in the healthy control group, those with a history of being infected (6.7 ng/mL) demonstrated higher PAI-1 levels than those who had never been infected (4.8 ng/mL). CONCLUSIONS: PAI-1 levels were lower in LTBI participants, which potentially is due to more participants in the healthy control group having a history of COVID-19 infection.
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This research presents a study on the existence of chaotic behaviour in COVID-19 time series data using the Largest Lyapunov Exponent (LLE) and forecasts the outcome of the new daily cases of infected people until 2023 by chaos indicators tools, Logistic Map. The study also chooses another mathematical model, Linear Regression, to verify the accuracy of the Logistic Map by comparing both methods. The comparison between these methods is analyzed by using Mean Square Error (MSE). The data was collected from the end of January until early December 2020 involving Malaysia, China, Singapore, the USA and Italy. The result shows the countries tested have the existence of chaotic behaviour. Meanwhile, forecasting depicts some countries whose cases are declining and some are increasing. © 2022 Author(s).
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BackgroundPregnant women are at a higher risk of food poisoning compared to the general population. This can be detrimental to both the mother and the fetus. This study aimed to assess the level of knowledge and risk perception of basic food safety and handling among pregnant women in Jordan amid the COVID-19 pandemic. MethodsA descriptive cross-sectional quantitative study among pregnant women in Jordan was conducted using an online questionnaire between November 2020 and January 2021. The survey included socio-demographic data, food safety knowledge, and risk perception questions as well as COVID-19 related questions. A total score for food safety awareness out of 50 was derived for each participant based on the sum of scores from all domains. Student t-test and Analysis of Variance (ANOVA) were conducted using SPSS (Version 26) to compare the mean sum of correct responses of every section (knowledge score) by sociodemographic characteristics. ResultsA total of 325 participants completed the web-based survey. Most of the participants reported receiving food safety-related information during pregnancy (64.9%). The mean total score for the participants was 23.3 +/- 4.6 out of 50 (score percentage 46.6%). Participants were mostly aware of foodborne diseases (82.7%) followed by cleaning and sanitation (51.2%), and personal hygiene (49.1%). The least amount of awareness was observed in the cross-contamination (35.0%), food consumption and safety (35.0%), and temperature control (32.8%) domains. Older participants and those with higher education had significantly higher mean scores (p < 0.001). Most participants agreed that the pandemic had a positive impact on enhancing the measures taken to maintain food safety during the pandemic. ConclusionsThis study identified gaps in food safety-related knowledge. Educational programs for pregnant women need robust reinforcement within the community. Efficient educational approaches related to food safety should be provided by health care providers and local health authorities. While the COVID-19 pandemic persists, pregnant women must be well-educated about the virus and its prevention strategies to avoid being infected and ensure their baby's safety as well as their own.
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In the advent of a global pandemic, the necessity for early COVID-19 suspect detection and quarantine is of paramount importance. Medical research indicates that a high fever provides a general litmus of whether or not a person is infected with Coronavirus. Among several available solutions, thermal imaging has proven to be a better contactless screening procedure. It enables fast and easy detection of fever from a reasonable distance. In this research, a solution named Thermique is proposed. It is a cheap, easy to mass-produce, and automated AI-enabled thermal screening platform that combines facial detection, instant contactless temperature scanning, and RFID logging, while also providing an integrated defense against the spread of COVID-19 in a particular facility. Consisting of only off-the-shelf electronic components, this solution can be implemented with a significantly minimized cost, compared to its similar-function providing alternatives available on the market. To design and implement Thermique, a system architecture was developed for the platform, the details of which are highlighted within this paper. After the development of the prototype, several analytical evaluations of the system have been conducted, including the system's performance, and overall usability. © 2022 ACM.
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The City of Banda Aceh continues to experience rapid development both in terms of economy, infrastructure, and transportation which has resulted in increased autos mobilities. This increased mobility has an impact on the increasing tendency to use motorcycles which harm the environment for instances traffic congestion, air pollution, noise, and accidents. The Government of Aceh has implemented a policy called Bus Trans Koetaradja with the concept of Bus Rapid Transit-Lite (BRT-lite), but due to inaccuracy and lack of exclusive lanes, it has caused people to be reluctant to shift from private mode to the urban Bus. Therefore, this aiming at investigates the determinants of shifting travel mode choice from motorcycle to BRT-lite based travel survey conducted in Banda Aceh using the contexts of Stated Preference. Due to pandemic Covid-19, the data was collected using online-based questionnaire survey using Google form. A total of 400 data is valid and used for the analysis of travel mode choice using Binary Logistic approach. The results of the binary logistic regression analysis reveal that determinants of selecting motorcycle as a representative daily mode used is the distance to make a trip, travel time within origin-destination, and vehicle operating costs. The probability of selecting travel modes is 70% and 30% for motorcycle and BRT-lite, respectively. © 2022 Author(s).
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The COVID-19 infection was sparked by the severe acute respiratory syndrome SARS-CoV-2, as mentioned by the World Health Organization, and originated in Wuhan, Republic of China, eventually extending to every nation worldwide in 2020. This research aims to establish an efficient Medical Diagnosis Support System (MDSS) for recognizing COVID-19 in chest radiography with X-ray data. To build an ever more efficient classifier, this MDSS employs the concatenation mechanism to merge pretrained convolutional neural networks (CNNs) predicated on Transfer Learning (TL) classifiers. In the feature extraction phase, this proposed classifier employs a parallel deep feature extraction approach based on Deep Learning (DL). As a result, this approach increases the accuracy of our proposed model, thus identifying COVID-19 cases with higher accuracy. The suggested concatenation classifier was trained and validated using a Chest Radiography image database with four categories: COVID-19, Normal, Pneumonia, and Tuberculosis during this research. Furthermore, we integrated four separate public X-Ray imaging datasets to construct this dataset. In contrast, our mentioned concatenation classifier achieved 99.66% accuracy and 99.48% sensitivity respectively © 2022. International Journal of Advanced Computer Science and Applications.All Rights Reserved.
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The world is now facing intolerable damage in all sectors of life because of the deadly COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus 2. The discovery and development of anti-SARS-CoV-2 drugs have become pragmatic in the time needed to fight against this pandemic. The non-structural protein 3 is essential for the replication of transcriptase complex (RTC) and may be regarded as a possible target against SARS-CoV-2. Here, we have used a comprehensive in silico technique to find potent drug molecules against the NSP3 receptor of SARS-CoV-2. Virtual screening of 150 Isatin derivatives taken from PubChem was performed based on their binding affinity estimated by docking simulations, resulting in the selection of 46 ligands having binding energy greater than -7.1 kcal/mol. Moreover, the molecular interactions of the nine best-docked ligands having a binding energy of ≥ -8.5 kcal/mol were analyzed. The molecular interactions showed that the three ligands (S5, S16, and S42) were stabilized by forming hydrogen bonds and other significant interactions. Molecular dynamic simulations were performed to mimic an in vitro protein-like aqueous environment and to check the stability of the best three ligands and NSP3 complexes in an aqueous environment. The binding energy of the S5, S16, and S42 systems obtained from the molecular mechanics Poisson-Boltzmann surface area also favor the system's stability. The MD and MM/PBSA results explore that S5, S16, and S42 are more stable and can be considered more potent drug candidates against COVID-19 disease. Supplementary Information: The online version contains supplementary material available at 10.1007/s11696-022-02298-7.
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Objective: Parents' hesitancy (PH) toward childhood vaccination, including the vaccine of coronavirus disease (COVID-19), is one of the top public health threats. We aim to assess the PH toward children COVID-19 vaccination as compared to PH toward children routine vaccination among the residents of Saudi Arabia. Method: Before the official approval of children's COVID-19 vaccination in the country, a cross-sectional study using an electronically distributed survey was performed. Responses from parents of children younger than 18 years of age were accepted. The Oxford COVID-19 vaccine hesitancy scale (OC19-VHS) and the routine vaccination hesitancy scale (R-VHS) were used. Parents were classified as hesitant, non-hesitant, and unsure. Results: Between June 18th-30th, 2021, we included 1,052 parents. More than half of the parents were positive toward the childhood COVID-19 vaccination (63%) while 10% were unsure. Higher parental hesitancy toward children COVID-19 vaccination among mothers, parents younger than 40 years, did not receive COVID-19 nor influenza vaccines, had higher educational levels, and parents who recovered from COVID-19 infection. Hesitancy was mainly driven by the novelty of the vaccines and the fear of serious adverse effects. Compared to the routine vaccination, parents were more hesitant toward COVID-19 vaccination (6 vs. 27%). Conclusion: Generally, parents in Saudi Arabia were positive toward children's COVID-19 vaccination. Focused education to reassure hesitant parents on the safety of the vaccine is essential to achieve larger vaccination coverage.
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COVID-19 , Vacunas contra la Influenza , COVID-19/prevención & control , Vacunas contra la COVID-19 , Niño , Estudios Transversales , Femenino , Humanos , Padres , VacunaciónRESUMEN
Objective: The coronavirus disease 2019 (COVID-19) pandemic affected both medical services as well as hospital admissions. Scholars have attempted to study the effect of the pandemic on the services of multiple specialities. In this study, we aim to examine the pandemic's impact on the neurosurgical service provided at the King Abdulaziz University Hospital in Jeddah over an eight-month period. Methods: In this retrospective, single-centre case series study, we included all the consecutive neurosurgical patients who underwent a surgical intervention in the 8-month period starting on 3rd March, 2020 and ending on 3rd November, 2020. The demographics, diagnosis, surgery type, priority category, and mortality data of the patients were collected. Results: A total of 147 patients underwent surgery during the study period. The mean age was 30.8 years. Forty-nine percent of the study population were men. Oncology (31.3%) and hydrocephalus (23.8%) recorded the highest number of cases. More than half of the cases were Priority 1 (immediate and within 24 h). The mortality rate was 4.1% among all the performed cases. Conclusion: By describing this local neurosurgical experience during the COVID-19 pandemic, we hope to bring out some of the difficulties we encountered and improve what we learned during the pandemic.
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SARS-CoV-2, which causes COVID-19 disease, has proven to be a disastrous pandemic due to its contagious nature. This study has been planned to theoretically explore some antidotes against this virus from natural compounds. A total of 150 compounds from the shogaol class and shogaol derivatives (SDs) have been screened whereas 50 among those, which obeyed Lipinski’s Rule of Five (Ro5), have further been investigated using molecular docking techniques. Furthermore, reference antiviral drug chloroquine (ChQ) and Co-Crystallized inhibitor have also been studied against Mpro of SARS-CoV-2 for comparing the potential of our docked ligands. Surprisingly, 78% of our docked ligands have shown binding energies and inhibition constants lower than ChQ and all ligands showed these values lower than an inhibitor. We further visualized the nature of intermolecular interactions for the best docked six ligands, which have shown higher binding affinities. We have also assessed ADMET properties for three ligands that displayed visually the best intermolecular interactions. Quantum analysis of three selected ligands L4, L5, and L9 has proved their reactivity and kinetic stability. Moreover, molecular dynamic simulations over 60ns have been run for free Mpro and its selected three ligand-protein complexes for evaluating conformational stability and residual flexibility of docked complexes. Furthermore, 100ns the MD simulations have been performed for two ligand complexes L4, L5 (with negative binding free energy), and inhibitor. Available parameters suggest stable complexes for our ligands and could be active drugs against SARS-CoV-2 in near future. [ FROM AUTHOR] Copyright of Journal of Computational Biophysics & Chemistry is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)