Choroid plexus defects in Down syndrome brain organoids enhance neurotropism of SARS-CoV-2 (preprint)

Why individuals with Down Syndrome (DS, trisomy 21) are particularly susceptible to SARS-CoV-2 induced neuropathology remains largely unclear. Since the choroid plexus (CP) performs important barrier and immune-interface functions, secretes the cerebrospinal fluid and strongly expresses the ACE2 receptor and the chromosome 21 encoded TMPRSS2 protease, we hypothesized that the CP could play a role in establishing SARS-CoV-2 infection in the brain. To investigate the role of the choroid plexus in SARS-CoV-2 central nervous system infection in DS, we established a new type of brain organoid from DS and isogenic euploid control iPSC that consists of a core of appropriately patterned functional cortical neuronal cell types that is surrounded by a patent and functional choroid plexus (CPCOs). Remarkably, DS-CPCOs not only recapitulated abnormal features of DS cortical development but also revealed defects in ciliogenesis and epithelial cell polarity of the developing choroid plexus. We next demonstrate that the choroid plexus layer facilitates SARS-CoV-2 replication and infection of cortical neuronal cells, and that this is increased in DS-CPCOs. We further show that inhibition of TMPRSS2 and Furin activity inhibits SARS-CoV-2 replication in DS-CPCOs to the level observed in euploid organoids. We conclude that CPCOs are a useful model for dissecting the role of the choroid plexus in euploid and DS forebrain development and enables screening for therapeutics that can inhibit SARS-CoV-2 induced neuro-pathogenesis.

Human rights violations during the COVID-19 pandemic

Purpose: The purpose of this paper is to explore the most prominent human rights violations during the COVID-19 pandemic in accordance with international human rights law. Design/methodology/approach: Through doctrinal and legal study and content analysis, this paper analyses the important relevant legal provisions under International human rights law and applies these provisions to the reality of managing the COVID-19 crisis to identify the most prominent human rights violations during the COVID-19 outbreak. This research paper considered as a review paper in that it provides a review of the most prominent measures taken during the COVID-19 crisis, which constitutes violations of international human rights law. Findings: It is concluded that some measures that have been taken by countries to confront the COVID-19 pandemic have constituted violations of human rights and did not comply with the legal conditions to restrict human rights. Indeed, the COVID-19 pandemic has shown the ugly fractures in health-care systems, health inequities, racism and discrimination, Undermining the right to freedom of expression and the right to access information, gross negligence in protecting detainees from COVID-19 infection, all of these constitute clear violations of the principles of international human rights law. Research limitations/implications: The spread of COVID-19 has not stopped, and its effects still continue, including human rights violations. Therefore, this paper cannot enumerate all human rights violations that occur during the spread of COVID-19. Practical implications: Based on the results in this paper, governments need to be more prepared to face any health crisis at all levels including health care, which would reduce human rights violations. Social implications: This research paper reflects positively on the social reality, as the adoption of its recommendations leads to the provision of adequate health care to all members of society in accordance with the principles of human rights, granting them the right to access information, protecting their right to freedom of expression, reducing the phenomenon of racism and discrimination and providing adequate health care to all detainees. Originality/value: This paper studies an up-to-date topic that we are still living and seeing its effects. The benefit of this paper is to provide recommendations that protect human rights during the COVID-19 pandemic. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

When COVID-19 spread in China in December 2019, thousands of studies have focused on this pandemic. Each presents a unique perspective that reflects the pandemic's main scientific disciplines. For example, social scientists are concerned with reducing the psychological impact on the human mental state especially during lockdown periods. Computer scientists focus on establishing fast and accurate computerized tools to assist in diagnosing, preventing, and recovering from the disease. Medical scientists and doctors, or the frontliners, are the main heroes who received, treated, and worked with the millions of cases at the expense of their own health. Some of them have continued to work even at the expense of their lives. All these studies enforce the multidisciplinary work where scientists from different academic disciplines (social, environmental, technological, etc.) join forces to produce research for beneficial outcomes during the crisis. One of the many branches is computer science along with its various technologies, including artificial intelligence, Internet of Things, big data, decision support systems (DSS), and many more. Among the most notable DSS utilization is those related to multicriterion decision making (MCDM), which is applied in various applications and across many contexts, including business, social, technological and medical. Owing to its importance in developing proper decision regimens and prevention strategies with precise judgment, it is deemed a noteworthy topic of extensive exploration, especially in the context of COVID-19-related medical applications. The present study is a comprehensive review of COVID-19-related medical case studies with MCDM using a systematic review protocol. PRISMA methodology is utilized to obtain a final set of (n = 35) articles from four major scientific databases (ScienceDirect, IEEE Xplore, Scopus, and Web of Science). The final set of articles is categorized into taxonomy comprising five groups: (1) diagnosis (n = 6), (2) safety (n = 11), (3) hospital (n = 8), (4) treatment (n = 4), and (5) review (n = 3). A bibliographic analysis is also presented on the basis of annual scientific production, country scientific production, co-occurrence, and co-authorship. A comprehensive discussion is also presented to discuss the main challenges, motivations, and recommendations in using MCDM research in COVID‐19-related medial case studies. Lastly, we identify critical research gaps with their corresponding solutions and detailed methodologies to serve as a guide for future directions. In conclusion, MCDM can be utilized in the medical field effectively to optimize the resources and make the best choices particularly during pandemics and natural disasters.

Risk factors for and pregnancy outcomes after SARS-CoV-2 in pregnancy according to disease severity: A nationwide cohort study with validation of the SARS-CoV-2 diagnosis.

INTRODUCTION: We identified risk factors and outcomes associated with SARS-CoV-2 infection in pregnancy in a universally tested population according to disease severity and validated information on SARS-CoV-2 during pregnancy in national health registers in Denmark. MATERIAL AND METHODS: Cohort study using data from national registers and medical records including all pregnancies between March 1, 2020 and February 28, 2021. We compared women with a validated positive SARS-CoV-2 test during pregnancy with non-infected pregnant women. Risk factors and pregnancy outcomes were assessed by Poisson and Cox regression models and stratified according to disease severity defined by hospital admission status and admission reason (COVID-19 symptoms or other). Using medical record data on actual period of pregnancy, we calculated predictive values of the SARS-CoV-2 diagnosis in pregnancy in the registers. RESULTS: SARS-CoV-2 infection was detected in 1819 (1.6%) of 111 185 pregnancies. Asthma was associated with infection (relative risk [RR] 1.63, 95% confidence interval [CI] 1.28-2.07). Risk factors for severe COVID-19 disease requiring hospital admission were high body mass index (median ratio 1.06, 95% CI 1.04-1.09), asthma (RR 7.47, 95% CI 3.51-15.90) and gestational age at the time of infection (gestational age 28-36 vs < 22: RR 3.53, 95% CI 1.75-7.10). SARS-CoV-2-infected women more frequently had hypertensive disorders in pregnancy (adjusted hazard ratio [aHR] 1.31, 95% CI 1.04-1.64), early pregnancy loss (aHR 1.37, 95% CI 1.00-1.88), preterm delivery before gestational age 28 (aHR 2.31, 95% CI 1.01-5.26), iatrogenically preterm delivery before gestational age 37 (aHR 1.49, 95% CI 1.01-2.19) and small-for-gestational age children (aHR 1.28, 95% CI 1.05-1.54). The associations were stronger among women admitted to hospital for any reason. The validity of the SARS-CoV-2 diagnosis in relation to pregnancy in the registers compared with medical records showed a negative predictive value of 99.9 (95% CI 99.9-100.0) and a positive predictive value of 82.1 (95% CI 80.4-83.7). CONCLUSIONS: Women infected with SARS-CoV-2 during pregnancy were at increased risk of hypertensive disorders in pregnancy, early pregnancy loss, preterm delivery and having children small for gestational age. The validity of Danish national registers was acceptable for identification of SARS-CoV-2 infection during pregnancy.

Asymptomatic SARS-CoV-2 Infections, BNT162b2 mRNA COVID 19 Vaccine-Related Symptoms, and Correlates of Immunity in Post-Vaccination Breakthrough Infections in the Prospective Assessment of SARS-CoV-2 Seroconversion (PASS) Study

Background. We sought to determine the frequency of asymptomatic SARS-CoV-2 infections, the BNT162b2 mRNA COVID 19 vaccine-related symptoms, and the correlates of immunity in post-vaccination breakthrough infections in a prospective cohort of healthcare workers. Methods. We have been conducting a single-center, observational cohort study of healthcare workers. 271 participants were enrolled since August 25, 2020. Testing for SARS-CoV-2 spike (S)-specific IgG antibodies is conducted using a microspherebased multiplex immunoassay interpolated against an internal standard curve for binding antibody (bAb) units (BAU) and has been performed on serum samples collected at monthly visits between September 2020 to August of 2021, and quarterly since then. Neutralizing antibody titers against wild-type (WT) virus are determined by microneutralization assays and against Delta and Omicron variants by lentiviral pseudovirus neutralization assays. For the first 6 months, participants completed a symptoms questionnaire every day they had any symptoms. Results. 12 participants were diagnosed with SARS-CoV-2, with at least mild symptoms. Of 206 participants evaluated for adverse effects after 1st and 2nd vaccine doses, no relationship was observed between vaccine-associated symptom scores and antibody titers 1 month after the 2nd dose. Longitudinal studies demonstrate that anti-S IgG bAbs decrease from a geometric mean (GM) of 1929 BAU/mL at 1 month post-vaccination to a GM of 442 BAU/mL at 6 months post-vaccination ( P < 0.001, n =187), and that boosting increases S-specific IgG BAU. While only 5 of 39 participants had detectable anti-Omicron neutralizing activity 1 month after 2 vaccinations, booster vaccination resulted in detectable neutralizing activity for all participants. Conclusion. Asymptomatic infection is likely rare, that there is no relationship between vaccine-associated symptom severity and antibody titers 1 month after the 2nd vaccination, and that booster results in better protection against the Omicron variant. Ongoing studies are evaluating serological and cellular immune responses immediately prior to 38 breakthrough infections in an attempt to identify immune correlates of protection and will be reported at the conference.

The Reality of E-learning in Iraqi Universities

This study was found in foreign institutions because it has reached an inorganic department of universities with Elian modernization and the framework of general education policy. This study discussed research because it does not continue to support existing learning environments that are not compatible with modern technology due to the situation and weakness of the Internet. There is no effort for any other reason. The most important conclusion of this study is that not only the most important research results of this study, as well as a personal interview with the request, as well as proposed solutions for proposed solutions and personal populations but genuine Interviews with certification and modern cultural Ellis is also accepted for education and especially in college formats. © 2022 IEEE.

Human rights violations during the COVID-19 pandemic

Purpose>The purpose of this paper is to explore the most prominent human rights violations during the COVID-19 pandemic in accordance with international human rights law.Design/methodology/approach>Through doctrinal and legal study and content analysis, this paper analyses the important relevant legal provisions under International human rights law and applies these provisions to the reality of managing the COVID-19 crisis to identify the most prominent human rights violations during the COVID-19 outbreak. This research paper considered as a review paper in that it provides a review of the most prominent measures taken during the COVID-19 crisis, which constitutes violations of international human rights law.Findings>It is concluded that some measures that have been taken by countries to confront the COVID-19 pandemic have constituted violations of human rights and did not comply with the legal conditions to restrict human rights. Indeed, the COVID-19 pandemic has shown the ugly fractures in health-care systems, health inequities, racism and discrimination, Undermining the right to freedom of expression and the right to access information, gross negligence in protecting detainees from COVID-19 infection, all of these constitute clear violations of the principles of international human rights law.Research limitations/implications>The spread of COVID-19 has not stopped, and its effects still continue, including human rights violations. Therefore, this paper cannot enumerate all human rights violations that occur during the spread of COVID-19.Practical implications>Based on the results in this paper, governments need to be more prepared to face any health crisis at all levels including health care, which would reduce human rights violations.Social implications>This research paper reflects positively on the social reality, as the adoption of its recommendations leads to the provision of adequate health care to all members of society in accordance with the principles of human rights, granting them the right to access information, protecting their right to freedom of expression, reducing the phenomenon of racism and discrimination and providing adequate health care to all detainees.Originality/value>This paper studies an up-to-date topic that we are still living and seeing its effects. The benefit of this paper is to provide recommendations that protect human rights during the COVID-19 pandemic.

Novel Federated Decision Making for Distribution of Anti-SARS-CoV-2 Monoclonal Antibody to Eligible High-Risk Patients

Context: When the epidemic first broke out, no specific treatment was available for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The urgent need to end this unusual situation has resulted in many attempts to deal with SARS-CoV-2. In addition to several types of vaccinations that have been created, anti-SARS-CoV-2 monoclonal antibodies (mAbs) have added a new dimension to preventative and treatment efforts. This therapy also helps prevent severe symptoms for those at a high risk. Therefore, this is one of the most promising treatments for mild to moderate SARS-CoV-2 cases. However, the availability of anti-SARS-CoV-2 mAb therapy is limited and leads to two main challenges. The first is the privacy challenge of selecting eligible patients from the distribution hospital networking, which requires data sharing, and the second is the prioritization of all eligible patients amongst the distribution hospitals according to dose availability. To our knowledge, no research combined the federated fundamental approach with multicriteria decision-making methods for the treatment of SARS-COV-2, indicating a research gap. Objective: This paper presents a unique sequence processing methodology that distributes anti-SARS-CoV-2 mAbs to eligible high-risk patients with SARS-CoV-2 based on medical requirements by using a novel federated decision-making distributor. Method: This paper proposes a novel federated decision-making distributor (FDMD) of anti-SARS-CoV-2 mAbs for eligible high-risk patients. FDMD is implemented on augmented data of 49,152 cases of patients with SARS-CoV-2 with mild and moderate symptoms. For proof of concept, three hospitals with 16 patients each are enrolled. The proposed FDMD is constructed from the two sides of claim sequencing: central federated server (CFS) and local machine (LM). The CFS includes five sequential phases synchronised with the LMs, namely, the preliminary criteria setting phase that determines the high-risk criteria, calculates their weights using the newly formulated interval-valued spherical fuzzy and hesitant 2-tuple fuzzy-weighted zero-inconsistency (IVSH2-FWZIC), and allocates their values. The subsequent phases are federation, dose availability confirmation, global prioritization of eligible patients and alerting the hospitals with the patients most eligible for receiving the anti-SARS-CoV-2 mAbs according to dose availability. The LM independently performs all local prioritization processes without sharing patients' data using the provided criteria settings and federated parameters from the CFS via the proposed Federated TOPSIS (F-TOPSIS). The sequential processing steps are coherently performed at both sides. Results and Discussion: (1) The proposed FDMD efficiently and independently identifies the high-risk patients most eligible for receiving anti-SARS-CoV-2 mAbs at each local distribution hospital. The final decision at the CFS relies on the indexed patients' score and dose availability without sharing the patients' data. (2) The IVSH2-FWZIC effectively weighs the high-risk criteria of patients with SARS-CoV-2. (3) The local and global prioritization ranks of the F-TOPSIS for eligible patients are subjected to a systematic ranking validated by high correlation results across nine scenarios by altering the weights of the criteria. (4) A comparative analysis of the experimental results with a prior study confirms the effectiveness of the proposed FDMD. Conclusion: The proposed FDMD has the benefits of centrally distributing anti-SARS-CoV-2 mAbs to high-risk patients prioritized based on their eligibility and dose availability, and simultaneously protecting their privacy and offering an effective cure to prevent progression to severe SARS-CoV-2 hospitalization or death.

Technology Skills in Medical Education during Corona Pandemic: Special Case Study

This study aims to determine the effect of distributing scientific information via e-learning and distance education. The study sample consisted of (100) male and female students in this specialization from the perspective of students of medical sciences at Al-Nisour University College. The questionnaire was used as the primary method for collecting data related to the research variables. The results of the study yielded a variety of conclusions. It was found from this study that students respond to the availability of equal opportunities for them to obtain electronic scientific knowledge. It was also found that the other section of the students had problems with the type of content of the lectures. This study recommends the use of modern technology in e-learning after identifying the obstacles it faces. © 2022 IEEE.

Ensemble Learning using Transformers and Convolutional Networks for Masked Face Recognition (preprint)

Wearing a face mask is one of the adjustments we had to follow to reduce the spread of the coronavirus. Having our faces covered by masks constantly has driven the need to understand and investigate how this behavior affects the recognition capability of face recognition systems. Current face recognition systems have extremely high accuracy when dealing with unconstrained general face recognition cases but do not generalize well with occluded masked faces. In this work, we propose a system for masked face recognition. The proposed system comprises two Convolutional Neural Network (CNN) models and two Transformer models. The CNN models have been fine-tuned on FaceNet pre-trained model. We ensemble the predictions of the four models using the majority voting technique to identify the person with the mask. The proposed system has been evaluated on a synthetically masked LFW dataset created in this work. The best accuracy is obtained using the ensembled models with an accuracy of 92%. This recognition rate outperformed the accuracy of other models and it shows the correctness and robustness of the proposed model for recognizing masked faces. The code and data are available at https://github.com/Hamzah-Luqman/MFR

Integration of FDOSM and FWZIC Under Homogeneous Fermatean Fuzzy Environment: A Prioritization of COVID-19 Patients for Mesenchymal Stem Cell Transfusion

Mesenchymal stem cell (MSC) transfusion has shown promising results in treating COVID-19 cases despite the limited availability of these MSCs. The task of prioritizing COVID-19 patients for MSC transfusion based on multiple criteria is considered a multi-attribute decision-analysis (MADA) problem. Although literature reviews have assessed the prioritization of COVID-19 patients for MSCs, issues arising from imprecise, unclear and ambiguous information remain unresolved. Compared with the existing MADA methods, the robustness of the fuzzy decision by opinion score method (FDOSM) and fuzzy-weighted zero inconsistency (FWZIC) is proven. This study adopts and integrates FDOSM and FWZIC in a homogeneous Fermatean fuzzy environment for criterion weighting followed by the prioritization of the most eligible COVID-19 patients for MSC transfusion. The research methodology had two phases. The decision matrices of three COVID-19 emergency levels (moderate, severe, and critical) were adopted based on an augmented dataset of 60 patients and discussed in the first phase. The second phase was divided into two subsections. The first section developed Fermatean FWZIC (F-FWZIC) to weigh criteria across each emergency level of COVID-19 patients. These weights were fed to the second section on adopting Fermatean FDOSM (F-FDOSM) for the purpose of prioritizing COVID-19 patients who are the most eligible to receive MSCs. Three methods were used in evaluating the proposed works, and the results included systematic ranking, sensitivity analysis, and benchmarking checklist.

ELEVATED LEVELS OF D-DIMER, C-REACTIVE PROTEIN AND FERRITIN ARE ASSOCIATED WITH THE SEVERITY OF COVID-19 IN IRAQI PATIENT'S SAMPLE

According to the World Health Organization, the new Coronavirus, which is known specifically as COVID-19, is still a global health emergency because the rates of infection and death are continuously and dramatically increasing, especially with the emergence of new strains of the virus. This study will shed light on the correlation between D-dimer, CRP, and ferritin levels with the severity of COVID-19 in Iraqi patients. 111 Iraqi patients and 45 healthy Iraqi patients were selected from the medical city hospital during the period from February 15 to March 30, 2020. The cases were classified according to the clinical symptoms and CT scan results into 71 moderate cases and 40 severe cases. Blood samples were collected from patients and the control to evaluate the level of D-dimer, CRP in sera, and ferritin in their plasma. A significate correlation was noted between severe groups and the moderate and control groups for all biomarkers (D-dimer, CRP and ferritin), whereas, there was no significate difference between the moderate and control groups for all biomarkers (D-dimer, CRP and ferritin) in both sexes (male and female). In conclusion, according to our results, the D-dimer, CRP and ferritin biomarkers should be included with the profile of Covid-19 for diagnosis to help avoid severe onset of infection and mortality.

Psychometric properties and clinical utility of COVID-19-related distress scale among children and adolescents with Disabilities.

BACKGROUND: The aim was to estimate the psychometric properties of the COVID-19-related distress scale in our society, as well as verifying the global structure of the COVID-19-related distress scale through exploratory factor analysis and the confirmatory factor analysis model for the dimensions prepared in the light of previous studies and the general factor model. METHODS: The study follows the design of the exploratory cross-sectional studies by applying a scale electronically using the Google Forms tool. Construct validity was evaluated using confirmatory factor analysis, exploratory factor analysis, and content validity. Pearson product-moment correlation, Cronbach's alpha reliability coefficient, and test-retest methods were used to evaluate reliability. RESULTS: In the analysis made for internal consistency in the reliability study of the scale, the Cronbach's alpha reliability coefficients were determined as α = 0.93 for the physical dimension subscale, 0.90 for the psychological and emotional dimension, 0.92 for cognitive dimension, 0.91 for the social dimension, 0.92 for behavioral dimension, 0.87 for living Dimension and 0.94 for the whole scale. The total number of items on the scale is 62. It is clear that the items of the scale explained 55.49 % of the variance of the correlation matrix between the items, which indicates that the scale has an appropriate degree to extract the variance that explains COVID-19-related distress. The fit indices were found to be Chi square = 862.30 (p < .001), degree of freedom = 210 (χ2 = 862.30; df = 210, χ2/df = 4.10), root mean square error of approximation (RMSEA) = 0.07 (p < .05) standardized root mean- square residual (SRMR) = 0.05, comparative fit index (CFI) = 0.92, non-normed fit index (NNFI) = 0.95, goodness of fit index (GFI) = 0.95, and adjusted goodness of fit index (AGFI) = 0.94. CONCLUSIONS: The COVID-19-related distress scale is an easy to administer, valid, and reliable instrument to assess COVID-19-related distress. This instrument can be a helpful tool informing us about distress related to COVID-19 and hence may prevent adverse long-term consequences arising due to pandemic.

The Role of Media in Sponsorship Decision Making During Covid-19: A Malaysian Perspective

COVID-19 has impacted not only human lives, but also business organisations. The repercussions of the pandemic on global businesses include sustaining the value of a firm that could benefit stakeholders, such as the challenge for sponsored properties to attain sponsorship through a period of financial struggles and the capacity of a sponsor to provide it. It is imperative for business-to-business (B2B) communities to evaluate criteria and risks of sponsorship to instil public trust and consequently result in value creation for firms. At the same time, the role of the media is pivotal to create visibility of this partnership and achieve set sponsorship aims. With that said, the objective of this study is to explore the role of sponsorship decision making by Malaysian organisations during the pandemic and how the media have strengthened relationship marketing between businesses and their stakeholders;by examining the determinant factors of using media as an activation in sponsorship and the criteria of using media in sponsorship. The qualitative study conducted interviews with 13 corporate communication and marketing managers in Malaysia that are involved directly with sponsorship activation. The findings highlight the sponsorship ecosystem through the Malaysian media and B2B perspectives that would guide practitioners in making strategic decisions on B2B sponsorship matters, particularly on the relational approaches and media engagement should be seen as part of good business conduct. Future recommendation of this research is to seek the perceptions of consumers on the congruence of relationship marketing through sponsor-sponsored properties collaboration in Malaysian media. © 2022, Penerbit Universiti Kebangsaan Malaysia. All rights reserved.

Knowledge and attitude regarding monkeypox virus among physicians in Saudi Arabia, a cross-sectional study (preprint)

Objectives The aim of this study was to assess the knowledge and attitudes towards monkeypox infection among physicians, a frontline healthcare worker group, in Saudi Arabia.Methods A cross-sectional, online survey assessing knowledge and attitudes towards monkeypox infection on multiple-item scales was sent to physicians in Saudi Arabia. The associations between independent factors and either knowledge or attitude were assessed.Results The final analysis included 398 participants. Approximately 57% of the participants were under 30 years old, and 56.8% were male. Only 18.6% of the surveyed participants had ever received information about monkeypox in their medical education. A substantial proportion of assessed physicians lack knowledge regarding the endemicity of monkeypox, its transmission, clinical differences with smallpox, chickenpox, and influenza, as well as the clinical evolution and the main associated findings. In addition, there is a significant knowledge gap between the therapeutic management of monkeypox and its vaccination. Such poor knowledge is influenced by various factors.Conclusions Physicians' knowledge and attitudes regarding monkeypox infection are inadequate. Training and knowledge assessment is important, as demonstrated by previous epidemics and pandemics such as Zika and COVID-19, especially when studies show significant improvement in related and specific knowledge.

COVID-19 in Children: Clinical Presentations and Outcomes in Fayoum Governorate, Egypt

Background: The number of children with coronavirus disease 2019 (COVID-19) significantly increased with limited data available about Egyptian children infected with COVID-19. Objectives: The study was performed early in the pandemic to address and record different clinical presentations of COVID-19 in Egyptian children in Fayoum Governorate and determine the percentage of children with complicated COVID-19 infection. The present article describes some epidemiological characteristics, along with the clinical patterns, laboratory and radiological find-ings, and outcomes of pediatric patients with COVID-19 in Fayoum Governorate. Methods: A total of 200 Egyptian children with COVID-19 in Fayoum Governorate were included in this study. This study was con-ducted from the beginning of June 2020 to the end of October 2020. In this study, 192 children (96%) had a history of contact with either suspected or confirmed COVID-19 cases in relatives. The age, gender, clinical symptoms, signs, and laboratory results were estimated. Results: About a tenth of the patients (n = 19;9.5%) were asymptomatic. Fever and diarrhea were the most common symptoms at presentation, as it was identified in 81 children (40.5%). Lymphopenia was observed in 46.5% of the patients. The majority of the patients with respiratory symptoms had normal findings in chest X-rays (92.5%). Chest opacity was reported in 11 patients (5.5%). According to chest computed tomography, bilateral ground-glass opacity was identified in 16 patients (8.0%). Five hospitalized cases (2.5%) developed severe non-respiratory complications. One death was reported in this study. Conclusions: The COVID-19 can affect children at any age with variable presentations ranging from asymptomatic to severe symp-tomatic phenotypes requiring intensive care interventions.

SPREAD PREDICTION OF COVID-19 IN ANDHRA PRADESH BASED ON ENVIRONMENTAL CHEMISTRY

COVID-19 had already spread throughout the world, and the novel coronavirus continues to pose a threat to the majority of countries. The current study uses the Susceptible-Exposed-Infectious-Recovered idea to assess the effects of social and economic factors, particularly the use of a medical mask, on the spread of COVID-19 in Andhra Pradesh. The influence of environmental parameters such as temperature and relative humidity on the number of COVID-19 cases per day is also investigated using numerical methods such as the Response surface methodology model. We provide the results of the curfew lockdown started by the Government of Andhra Pradesh for COVID-19, as compared to a total lockdown scenario. As a result of the irresponsibility and crowded gatherings, the number of cases increases, stretching the mitigation period of the second wave COVID-19 spread, prolonging the curve's straightening. The Susceptible-Exposed-Infectious-Recovered model's predictions have been put to the test in a number of real-world scenarios. The fast spread of second-wave COVID-19 cases in Indian cities is similarly connected to temperature, as indicated by the well function of higher temperatures in breaking the lipid layer of coronavirus, but is severely inhibited by the critical component of social distancing, leading to uncertainty. As a result, it's critical to incorporate environmental factors into epidemiological models like Susceptible-Exposed-Infectious-Recovered, as well as methodically design managed laboratory tests and modeling experiments to catch conclusive findings, assisting decision-makers and investors in developing comprehensive action plans to combat COVID-19's second wave. © 2022, Rasayan Journal of Chemistry, c/o Dr. Pratima Sharma. All rights reserved.

Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review.

The influence of the ongoing COVID-19 pandemic that is being felt in all spheres of our lives and has a remarkable effect on global health care delivery occurs amongst the ongoing global health crisis of patients and the required services. From the time of the first detection of infection amongst the public, researchers investigated various applications in the fight against the COVID-19 outbreak and outlined the crucial roles of different research areas in this unprecedented battle. In the context of existing studies in the literature surrounding COVID-19, related to medical treatment decisions, the dimensions of context addressed in previous multidisciplinary studies reveal the lack of appropriate decision mechanisms during the COVID-19 outbreak. Multiple criteria decision making (MCDM) has been applied widely in our daily lives in various ways with numerous successful stories to help analyse complex decisions and provide an accurate decision process. The rise of MCDM in combating COVID-19 from a theoretical perspective view needs further investigation to meet the important characteristic points that match integrating MCDM and COVID-19. To this end, a comprehensive review and an analysis of these multidisciplinary fields, carried out by different MCDM theories concerning COVID19 in complex case studies, are provided. Research directions on exploring the potentials of MCDM and enhancing its capabilities and power through two directions (i.e. development and evaluation) in COVID-19 are thoroughly discussed. In addition, Bibliometrics has been analysed, visualization and interpretation based on the evaluation and development category using R-tool involves; annual scientific production, country scientific production, Wordcloud, factor analysis in bibliographic, and country collaboration map. Furthermore, 8 characteristic points that go through the analysis based on new tables of information are highlighted and discussed to cover several important facts and percentages associated with standardising the evaluation criteria, MCDM theory in ranking alternatives and weighting criteria, operators used with the MCDM methods, normalisation types for the data used, MCDM theory contexts, selected experts ways, validation scheme for effective MCDM theory and the challenges of MCDM theory used in COVID-19 studies. Accordingly, a recommended MCDM theory solution is presented through three distinct phases as a future direction in COVID19 studies. Key phases of this methodology include the Fuzzy Delphi method for unifying criteria and establishing importance level, Fuzzy weighted Zero Inconsistency for weighting to mitigate the shortcomings of the previous weighting techniques and the MCDM approach by the name Fuzzy Decision by Opinion Score method for prioritising alternatives and providing a unique ranking solution. This study will provide MCDM researchers and the wider community an overview of the current status of MCDM evaluation and development methods and motivate researchers in harnessing MCDM potentials in tackling an accurate decision for different fields against COVID-19.