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Background At the time of conducting this study, we were at the peak of the influenza season, and influenza vaccinations were not readily accessible throughout the country. Thus, predisposing many high-risk individuals to influenza infections in a time when coronavirus disease 2019 (COVID-19) was also highly circulating, and the emerging Omicron variant of concern was peaking in many countries worldwide.Methods We conducted a brief survey to prospectively estimate the frequency of influenza A and B and severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) in samples received at our laboratories at Libyan Biotechnology Research Center, Tripoli, Libya, between December 1, 2021, and January 31, 2022, for patients complaining of respiratory symptoms using a multiplex reverse transcription-polymerase chain reaction test for SARS-COV-2, influenza A and B, and RSV.Results We analyzed nasopharyngeal swabs in viral transport media from 2,186 samples. About 27% (589/2186) of study patients tested positive for SARS-COV-2, 2.8% (61/2186) were positive for influenza A virus, 0.18% (4/2186) for influenza B virus, and 1.4% (31/2186) tested positive for RSV.Conclusions These results revealed that along with COVID-19, influenza infections were also rising. As the COVID-19 pandemic continues, the most significant concern is the development of an influenza outbreak in the upcoming months. Therefore, continuing annual influenza vaccination is critical to increasing population immunity. National influenza surveillance and testing should also be conducted. Furthermore, sequencing and antigenic characterization should be performed regularly. There is a need for continuous monitoring in national laboratories to detect any zoonotic cases and substantial viral evolution.
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Antibiotic resistance is an alarming threat all over the world, and the biofilm formation efficacy of bacteria is making the situation worse. The antagonistic efficacy of Klebsiella pneumoniae against one of the known fish pathogens, Aeromonas sp., is examined in this study. Moreover, Aeromonas sp.'s biofilm formation ability and in vivo pathogenicity on Artemia salina are also justified here. Firstly, six selected bacterial strains were used to obtain antimicrobial compounds against this pathogenic strain. Among those, Klebsiella pneumoniae, another pathogenic bacterium, surprisingly demonstrated remarkable antagonistic activity against Aeromonas sp. in both in vitro and in vivo assays. The biofilm distrusting potentiality of Klebsiella pneumoniae's cell-free supernatants (CFSs) was likewise found to be around 56%. Furthermore, the volatile compounds of Klebsiella pneumoniae were identified by GC-MS in order to explore compounds with antibacterial efficacy against Aeromonas sp. through an in silico study, where 5'-methylthioadenosine/S-adenosylhomocysteine nucleosidase (MTAN) (PDB: 5B7P) was chosen as a target protein for its unique characteristics and pathogenicity. Several volatile compounds, such as oxime- methoxy-phenyl-, fluoren-9-ol, 3,6-dimethoxy-9-(2-phenylethynyl)-, and 2H-indol-2-one, 1,3-dihydro- showed a strong binding affinity, with free energy of -6.7, -7.1, and -6.4 Kcal/mol, respectively, in complexes with the protein MTAN. Moreover, the root-mean-square deviation, solvent-accessible surface area, radius of gyration, root-mean-square fluctuations, and hydrogen bonds were used to ensure the binding stability of the docked complexes in the atomistic simulation. Thus, Klebsiella pneumoniae and its potential compounds can be employed as an alternative to antibiotics for aquaculture, demonstrating their effectiveness in suppressing Aeromonas sp.
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Background: The cross-protective nature of Bacillus Calmette-Guerin (BCG) vaccine against SARS-CoV-2 virus was previously suggested, however its effect in COVID-19 patients with type 2 diabetes (T2D) and the underlying metabolic pathways has not been addressed. This study aims to investigate the difference in the metabolomic patterns of type 2 diabetic patients with BCG vaccination showing different severity levels of COVID-19 infection. Methods: Sixty-seven COVID-19 patients were categorized into diabetic and non-diabetic individuals who had been previously vaccinated or not with BCG vaccination. Targeted metabolomics were performed from serum samples from all patients using tandem mass spectrometry. Statistical analysis included multivariate and univariate models. Results: Data suggested that while BCG vaccination may provide protection for individuals who do not have diabetes, it appears to be linked to more severe COVID-19 symptoms in T2D patients (p = 0.02). Comparing the metabolic signature of BCG vaccinated T2D individuals to non-vaccinated counterparts revealed that amino acid (sarcosine), cholesterol esters (CE 20:0, 20:1, 22:2), carboxylic acid (Aconitic acid) were enriched in BCG vaccinated T2D patients, whereas spermidine, glycosylceramides (Hex3Cer(d18:1_22:0), Hex2Cer(d18:1/22:0), HexCer(d18:1/26:1), Hex2Cer(d18:1/24:0), HexCer(d18:1/22:0) were higher in BCG vaccinated non- T2D patients. Furthermore, data indicated a decrease in sarcosine synthesis from glycine and choline and increase in spermidine synthesis in the BCG vaccinated cohort in T2D and non-T2D groups, respectively. Conclusion: This pilot study suggests increased severity of COVID-19 in BCG vaccinated T2D patients, which was marked by decreased sarcosine synthesis, perhaps via lower sarcosine-mediated removal of viral antigens.
Subject(s)
COVID-19 , Diabetes Mellitus, Type 2 , Humans , BCG Vaccine , Retrospective Studies , SARS-CoV-2 , COVID-19 Vaccines , Pilot Projects , Sarcosine , Spermidine , Vaccination/methodsABSTRACT
The first case of COVID-19 from China was reported to the World Health Organization (WHO) on the 31st of December 2019. The infection was observed to spread relatively quickly to several other countries and by the 30th January 2020, the WHO declared COVID-19 a Public Health Emergency of International Concern. The study was conducted to determine the epidemiology of novel COVID-19 in Nigeria. Data obtained were used to determine the distribution of the disease based on gender and age distribution. The case fatality rate (CFR), prevalence rate, recovery rate and mortality of the disease were also determined and compared with Africa and world. The data obtained showed that as of 12th July 2020, out of 32,558 cases recorded, 21,385 (66%) were males while 11,173 (34%) were females. Subjects within 31 – 40 years age category are more susceptible to contracting the disease in Nigeria which accounted for 24%. However, more deaths have been recorded among people of 60 years and above. The CFR, prevalence rate and mortality of the disease were extremely low and stood as 2.26%, 0.015% and 0.00034% respectively. The present recovery rate of the disease in Nigeria was 40.8%. It is concluded that the disease would be contained if relevant measures are put in place accordingly. © 2020 The author (s).
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Déclaration de liens d'intérêts: Les auteurs n'ont pas précisé leurs éventuels liens d'intérêts.
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Water scarcity has urged the need for adequate water demand forecasting to facilitate efficient planning of municipal infrastructure. However, the development of water consumption models is challenged by the rapid environmental and socio-economic changes, particularly during unforeseen events like the COVID-19 pandemic. This study investigated the impact of COVID-19 on the efficiency of water demand prediction models, considering the lockdown measures and various exogenous features, such as previous consumption (PC) and socio-demographic (SDF), seasonal (SF), and climatic (CF) factors. Multiple ensemble models, gradient-boosting machines (GBM), extreme-gradient-boosting (XGB), light-gradient-boosting, random forest (RF), and stack regressor (STK) were examined, compared to other machine-learning techniques, multiple -linear regression (MLR), decision trees, and neural networks. The models were tested using 3-year metering records for 128,000 consumers in Dubai. The feature importance analysis indicated that PC and SDF had a significant impact on consumption rates with correlation coefficients of 0.95 and 0.74, respectively, as opposed to SF and CF, which had negligible effect. The results showed that, before COVID, RF and STK outperformed other models with a coefficient-of-determination (R2) and root-mean-squared-error (RMSE) of 0.928 and 0.039, followed by XGB at 0.923 and 0.041, respectively. However, MLR achieved the highest prediction accuracy amid COVID with R2 and RMSE of 0.90 and 0.05, followed by GBM and XGB equally at 0.83 and 0.06, respectively. An ensemble-based error prediction model was applied, resulting in up to 9.2% improvement in predictions. Overall, this research emphasized the efficiency of ensemble models in handling fluctuating data with a high degree of nonlinearity.
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Life-threatening diseases, such as hepatitis B, pneumonia, tuberculosis, and COVID-19, are widespread due to pathogenic bacteria and viruses. Therefore, the development of highly sensitive, rapid, portable, cost-effective, and selective methods for the analysis of such microorganisms is a great challenge. Microchip electrophoresis (ME) has been widely used in recent years for the analysis of bacterial and viral pathogens in biological and environmental samples owing to its portability, simplicity, cost-effectiveness, and rapid analysis. However, microbial enrichment and purification are critical steps for accurate and sensitive analysis of pathogenic bacteria and viruses in complex matrices. Therefore, we first discussed the advances in the sample preparation technologies associated with the accurate analysis of such microorganisms, especially the on-chip microfluidic-based sample preparations such as dielectrophoresis and microfluidic membrane filtration. Thereafter, we focused on the recent advances in the lab-on-a-chip electrophoretic analysis of pathogenic bacteria and viruses in different complex matrices. As the microbial analysis is mainly based on the analysis of nucleic acid of the microorganism, the integration of nucleic acid-based amplification techniques such as polymerase chain reaction (PCR), quantitative PCR, and multiplex PCR with ME will result in an accurate and sensitive analysis of microbial pathogens. Such analyses are very important for the point-of-care diagnosis of various infectious diseases.
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Background At the time of conducting this study, we were at the peak of the influenza season, and influenza vaccinations were not readily accessible throughout the country. Thus, predisposing many high-risk individuals to influenza infections in a time when coronavirus disease 2019 (COVID-19) was also highly circulating, and the emerging Omicron variant of concern was peaking in many countries worldwide.Methods We conducted a brief survey to prospectively estimate the frequency of influenza A and B and severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) in samples received at our laboratories at Libyan Biotechnology Research Center, Tripoli, Libya, between December 1, 2021, and January 31, 2022, for patients complaining of respiratory symptoms using a multiplex reverse transcription-polymerase chain reaction test for SARS-COV-2, influenza A and B, and RSV.Results We analyzed nasopharyngeal swabs in viral transport media from 2,186 samples. About 27% (589/2186) of study patients tested positive for SARS-COV-2, 2.8% (61/2186) were positive for influenza A virus, 0.18% (4/2186) for influenza B virus, and 1.4% (31/2186) tested positive for RSV.Conclusions These results revealed that along with COVID-19, influenza infections were also rising. As the COVID-19 pandemic continues, the most significant concern is the development of an influenza outbreak in the upcoming months. Therefore, continuing annual influenza vaccination is critical to increasing population immunity. National influenza surveillance and testing should also be conducted. Furthermore, sequencing and antigenic characterization should be performed regularly. There is a need for continuous monitoring in national laboratories to detect any zoonotic cases and substantial viral evolution.
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Cases from both Germany and Austria exemplify how the COVID-19 pandemic is rapidly changing traditionally held ideas of Islamic community, religious congregations, and pastoral care. These cases were collected during Ramadan 2020, as this particular period signifies a time of paramount spirituality, social solidarity, and communal festivity. They reflect the rich and vibrant efforts and responses of Muslim leaders, organizations, and institutions to the challenges posed by the current pandemic. Different initiatives and solutions Muslim communities have developed as a response to COVID-19 are characterized as "caring communities.” Muslim chaplains, despite their highly limited personal access to secluded, lonesome, and distressed individuals in need of support, overcame the restrictions. Muslim leaders have striven to make use of the virtual space to fulfil the ordinary function of mosques as places of worship and communication. They have thus attempted to uphold social solidarity (zakat). Their responses to the pandemic raise questions about the future of religiosity and its manifestation as well as possible forms of religious communities and their ethical values. © 2022 Mahmoud Abdallah, published by De Gruyter.
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Objectives: The COVID-19 global pandemic has caused children and adolescents to face substantial challenges in their daily lives, but as the pandemic restrictions are lifted, children and adolescents have varying opinions about returning to a prepandemic lifestyle. This study investigates the impact of the transition out of a virtual lifestyle to an in-person lifestyle on the mental health of children and adolescents with psychiatric conditions. Method(s): A retrospective review of medical records was conducted on individuals who were treated in an inpatient or outpatient setting at the UCLA Department of Child and Adolescent Psychiatry following the pandemic. Subjects completed a questionnaire that collected both subjective and objective data on mental health, social and family functioning, academics, daily time spent, and more. The Patient Health Questionnaire-9 (PHQ-9), General Anxiety Disorder-7 (GAD-7), and UCLA Loneliness Scale scores were used to measure depression, anxiety, and loneliness, respectively. Result(s): A total of 93 subjects under the age of 21 years were enrolled in the study (Mage= 14.2;49 females, 24 males;20 transgender/nonbinary). Using the subject's subjective response regarding the transition from a virtual to in-person lifestyle, subjects were categorized by having positive, negative, and ambivalent feedback. Each feedback group was then compared using a single-factor ANOVA, which found that mental health scores for all 3 groups in all 3 measures had significant differences. There was a significant decline in depression scores (PHQ-9) with a decline in positivity toward the transition (p <.05). Subjects in the feedback groups experienced the same trend in symptoms of anxiety (GAD-7) (p <.05) and Loneliness Scale scores (p <.05). Conclusion(s): Online learning and returning to an in-person lifestyle has made significant impacts on the overall mental health of pediatric psychiatric patients. These results show that there are many different experiences within this transition, and that subjective data is a good indicator of mental health scores. Further research can be done to investigate the specific trends or implications of various diagnoses on the transition from a virtual to in-person lifestyle. ADOL, AD, DDD Copyright © 2022
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Declaration de liens d'interets: Les auteurs n'ont pas precise leurs eventuels liens d'interets. Copyright © 2022
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The world has faced a lot of unprecedented economic and social repercussions in its modern history. For instance, the spread of many diseases such as Covid-19, wars, and climate change. That led to stagnation in many sectors of development. As a result of these events, the governments tended to mitigate the impact of these repercussions by exploiting new technological tools and techniques, such as extended reality, digital marketing, and website development. In fact, the Covid-19 pandemic has affected the tourism sector around the world in the last 3 years. And whereas Egypt owns a third of the world's monuments, which represent the architectural legacies spread over large and multiple areas. From this point of view, this study discusses how to combine these monuments in an integrated project through digitizing architectural heritage on a website that works with modern technology techniques, especially extended reality technology to promote the tourism sector in Egypt, hence increasing the national income. On the other hand, this study also aimed to formulate a hypothetical vision of how to preserve, document, develop and invest in all archaeological buildings at the lowest possible cost, help to immerse yourself in it either completely or partially, query, and identify its elements and components textually, audibly, visually, and sensually. To achieve the study objectives, four steps were undertaken. First, the selection of a case study and virtual documentation of architectural heritage;second, a practical experiment was implemented using the extended reality technology;third, a questionnaire was conducted for the users of the experiment;and fourth, an evaluation by statistical analysis was implemented. From these four steps, a map of Egypt for architectural heritage was carried out. This map not only helps to revitalize the tourism sector but also enhances electronic documentation, and the restoration, and rehabilitation process of the monuments. Hence, preserving the cultural heritage of Egypt. © 2023 by authors. All rights reserved.
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Introduction: Covid-19 pandemic put parents under great pressure, and the most vulnerable parents may have become too overwhelmed to find appropriate ways to be supportive caregivers and to address children's fears and insecurities. Objective(s): Assess the level of parental stress experienced by mothers during the COVID-19 pandemic and compare it with that experienced by fathers. Method(s): This was a descriptive and comparative analytical study, shared on social networks during the period from 8 to 20 April 2021, targeting mothers of children aged 2 to 18 years. The mother answered the questionnaire for herself and her child. The level of stress experienced by the mother in the parent-child relationship during the COVID-19 pandemic was assessed by the brief version of the Parental Stress Index (PSI-SF). Result(s): The total number of participants was 65 mothers. Parental stress level in mothers was high in 58.5%, the average PSI score was 94.25;the mean score of the parental distress subscale was 34.06;the mean score of the dysfunctional child-parent interaction subscale was 27.86;and the average score of the child difficulty subscale was 32.32. The mean scores of the parental distress subscale, the child difficulty subscale, as well as the mean PSI total score were significantly higher in mothers than in fathers, with p= 0.010;p= 0.022 and p=0.017 respectively. Conclusion(s): Our results highlight a higher level of stress in mothers than in fathers. This can be explained the parental, marital and professional responsibilities imposed on women, underlining the urgent need to provide mothers with adequate support.
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COVID-19 is a fast-spreading pandemic that is caused by SARS-CoV-2 viral pathogen. Combination therapy of the antiviral favipiravir and the anticoagulant apixaban is one of the efficient treatment regimens. Therefore, development of novel and sensitive methods for simultaneous analysis of such combination is highly advantageous. Herein, two eco-friendly, simple, rapid, and cost-effective spectrofluorometric methods were evolved for the estimation of favipiravir and apixaban in pharmaceutical and biological matrices. Method I was based on analysis of favipiravir and apixaban by the first-order derivative of the conventional fluorescence spectra obtained after excitation at 300 nm, where favipiravir and apixaban were detected at 468.8 and 432.0 nm, respectively. Method II relied on dual scan synchronous spectrofluorometry, in which favipiravir was determined at 364 nm using Δλ = 60 nm while apixaban was analyzed at 274 nm using Δλ = 200 nm. Method optimization was performed for selecting the optimum conditions at which maximum sensitivity and selectivity were obtained. This report is the first one that describes simultaneous analysis of favipiravir and apixaban by synchronous spectrofluorometry. The developed methods were successfully applied to evaluate favipiravir and apixaban in spiked human plasma and in pharmaceutical dosages with high %recoveries and low RSD.
Subject(s)
COVID-19 , Humans , Spectrometry, Fluorescence/methods , SARS-CoV-2 , Amides , Antiviral Agents/therapeutic use , Pharmaceutical PreparationsABSTRACT
Remdesivir (REM) and Favipiravir (FAV) are recently approved antivirals prescribed in severely ill COVID-19 patients. Therefore, development of new, simple, rapid, sensitive, and selective methods for analysis of such drugs in their pharmaceutical formulations will be highly advantageous. Herein, we have developed different spectrophotometric methods for analysis of the studied analytes. Method I is based on direct spectrophotometric analysis of REM and FAV in ethanol at λmax 244 and 323 nm, respectively. For simultaneous quantitation of REM and FAV, methods II-V were followed. Method II is based on derivative spectrophotometry in which REM was determined in second-order derivative spectra at 248 nm (the zero-crossing wavelength for FAV), while FAV was measured in first-order derivative spectra at 337 nm (the zero-crossing point for REM). Method III is the dual-wavelength method in which spectral intensities were subtracted at 244-207 nm for REM and at 330-400 nm for FAV. Method IV is the ratio subtraction in which ratio spectra were obtained by a suitable divisor followed by subtraction of intensities at 272-340 nm and 335-222 nm for REM and FAV, respectively. Method V is the derivative ratio method in which the obtained ratio spectra in method IV were converted to first-order derivative and then REM and FAV were recorded at 280 and 340 nm, respectively. Calibration graphs were linear in the ranges of 1-10 µg/mL for REM through all methods and 1-20 µg/mL for FAV in methods I and II, and 2-20 µg/mL by the other methods. The evolved methods were applied to pharmaceutical dosage forms of REM and FAV. All the proposed methods were further applied to human plasma samples containing both drugs with acceptable mean recoveries.
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COVID-19 Drug Treatment , Humans , Antiviral Agents/therapeutic use , Spectrophotometry , Pharmaceutical PreparationsABSTRACT
Objectives: To investigate the relationship between attitudes toward COVID-19 vaccines and disapproval of the policy of mandatory COVID-19 vaccination among unvaccinated physicians and nurses in Oman. Methods: The subjects were (N = 346) unvaccinated physicians and nurses in Oman. Their demographic data and attitudes regarding COVID-19 vaccines and mandatory vaccination policy were collected through an anonymous web-based survey and statistically analyzed. Results: The participants' negative attitudes toward COVID-19 vaccines were positively related (r = 0.68, p < 0.001) to the extent of their non-support for COVID-19 mandatory vaccination policy. Analysis of variance test showed that after controlling for age, male healthcare providers were more likely to endorse mandating COVID-19 vaccinations. There was no difference between physicians and nurses in support of mandatory vaccination, after controlling for age. Conclusions: Regardless of job type, male, and older physicians, and nurses in Oman were more supportive of mandatory COVID-19 vaccination than their younger and female counterparts. This research provides insights from an Arabian Gulf country about the attitudes of its unvaccinated healthcare providers toward compulsory COVID-19 vaccination.