Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 55
Filter
1.
Journal of Henan Normal University Natural Science Edition ; 49(6):199-208, 2022.
Article in English | CAB Abstracts | ID: covidwho-2026899

ABSTRACT

As the major source of information, social media has outpaced mainstream news channels. In these information overloaded days, differentiating rumors from facts is crucial and difficult. This study aims to explore the respondents' perception of the reasons for spreading rumors related to the Coronavirus on social media. Furthermore, it seeks to look at the respondents' perception of the ways of combating fake news related to the Coronavirus on social media. Lastly, the study attempts to know to what extent the respondents are satisfied with the performance of the media institutions in dealing with the Coronavirus. A cross-sectional survey design was used with a non-probability sample to explore the respondents' perceptions of the above-mentioned aims. A total of 1274 self-selected cases from Bahrain, Egypt, Iraq, Jordan, Morocco, Oman, Saudi Arabia, Sudan, and the United Arab Emirates were investigated. The study finds that all respondents agree with the reasons listed in the survey about spreading rumors related to the Coronavirus on social media, except for the reasons of lacking transparency on behalf of the Ministry of Health and other official bodies and lacking accurate information about the Coronavirus. Moreover, the study confirms the respondents' beliefs that all listed ways effectively combat fake news related to the Coronavirus on social media. Furthermore, the study finds that the respondents are satisfied with the performance of the media institutions in dealing with the Coronavirus in their countries. With these findings, the study significantly contributes to the literature. It may assist various parties, such as the government and media organizations, in making the proper decision to combat the spread of rumors via social media.

2.
Archives of Razi Institute ; 77(5):1639-1645, 2022.
Article in English | EMBASE | ID: covidwho-2006667

ABSTRACT

Preliminary findings indicate that patients with diabetes mellitus (DM) are at additional risk of infecting with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is associated with increased mortality in these patients. Hyperglycemia can affect inflammatory and immune responses, which leads patients to severe COVID-19 consequences. The present study investigated risk factors for hospitalized COVID-19 patients with DM in Najaf, Iraq. 127 patients with positive PCR tests were selected from Al-Hakeem Hospital and Al-Sadr Teaching Hospital. Demographic characteristics and laboratory data were collected to compare patients with and without DM. Chi-squared test followed by odds ratio calculations were used to investigate the risk factors associated with hospitalization of COVID-19 patients with or without DM in the ICU and RCU. Analysis of the relationship between risk factors indicated that age above 65 years, high BMI, hypertension, respiratory rate> 24 BPM, CVD, blood sugar> 180 mg/dl, D-dimer> 1000, ALT> 50 and AST> 40 U/L were independent risk factors for hospitalized COVID-19 patients with DM (P≤0.05). Therefore, investigating these factors may detect the risk of infection with COVID-19 in patients with DM in advance. Physicians should further consider risk factors to discover a targeted intervention to improve clinical efficacy.

3.
Infect Drug Resist ; 15: 3459-3475, 2022.
Article in English | MEDLINE | ID: covidwho-1933456

ABSTRACT

Background: Fungi are rich source of biologically active metabolites aimed for the improvement of human health through the prevention of various diseases, including infections and inflammatory disorders. Aim: We aimed to in vitro examine the anti-SARS CoV-2 activity of the aqueous extract of each Pleurotus (P.) ostreatus, Lentinula (L.) edodes and Agaricus (A.) bisporus edible mushroom followed by docking analysis of certain metabolites against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-main protease (protease Mpro). Methods: Antiviral and cytotoxic effects were tested on hCoV-19/Egypt/NRC-3/2020/Vero-E6 cells and analyzed via (3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide Assay (MTT) assay. Ligand-protein and protein-protein docking studies were performed to explore the interaction of different mushroom extracts at the binding site of protease Mpro. Molecular dynamics (MD) simulations were performed on the most promising ligand-target complexes to investigate their dynamic properties and confirm docking results. Results: Substantial antiviral activities with an IC50 of 39.19, 26.17, and 10.3.3 µg/mL and a selectivity index (SI) of 4.34, 3.44, and 1.5 for P. ostreatus, L. edodes and A. bisporus, were observed, respectively. Docking analysis revealed that, catechin from three mushroom isolates, chlorogenic acid from A. bisporus, kamperferol of P. ostreatus and quercetin from L. edodes, with a C-DOCKER interaction energy in the range of 22.8-37.61 (Kcal/mol) with protease compared to boceprevir ligand of 41.6 (Kcal/mol). Docking of superoxide dismutase, catalase from the three mushrooms, tyrosinase from A. bisporus showed ligand contact surface area with the protein as 252.74 Å2 while receptor contact surface area was 267.23 Å2. Conclusion: P. ostreatus, L. edodes and A. bisporus have potential and remarkable in vitro antiviral activities against SARS-CoV-2. Quercetin from L. edodes, Kaempferol from P. ostreatus, chlorogenic acid and ascorbic acid, catechin, superoxide dismutase and catalase of the three mushrooms extracts were effectively bounded to Mpro of SARS-CoV-2 as conferred by docking analysis.

4.
Ann Ig ; 34(4): 398-409, 2022.
Article in English | MEDLINE | ID: covidwho-1893301

ABSTRACT

Background: The severe, acute respiratory syndrome COVID-19 that was first reported in China in December 2019 quickly became a global pandemic that has resulted in over 100 million infections and more than 2 million deaths. Study Design: This study aimed to assess the awareness level of university students regarding the possibility of becoming infected with COVID-19. In order to achieve this objective, we assessed the students' knowledge, attitudes, and behaviors using an online survey questionnaire offered to a total of 300 students. Results: A positive response regarding awareness of COVID-19 symptoms was registered by more than 70% of the students, whereas 62% felt that wearing a mask did not give full protection against infection, approximately 30% agreed that antibiotics and antivirals did not treat COVID-19, and 62% agreed that vitamin C was helpful in treating common symptoms of COVID-19. Moreover, around 31% of the students believed that COVID-19 is a man-made virus. Students who had gotten infected with SARS-CoV-2 believed that wearing a mask gives full protection (p=0.018). In response to survey questions related to attitude, 80% of students cancelled and postponed meetings with friends, and 90% agreed that mask-wearing is the most precautionary measure used to prevent the infection. In addition, 82% avoided coughing in public, 82% avoided contact if they felt flu-like symptoms and 80% washed their hands far more often due to the pandemic. Interestingly, 76% carried hand sanitizer, 66.5% avoided shaking hands, and 42.7% were taking vitamin C supplements. Conclusions: This study showed that the participants had a positive awareness of COVID-19 transmission, symptoms, and treatments misconceptions and mistaken beliefs related to treatments and the origin of the virus were also common and should be addressed. This study thus provides a baseline for a population-based surveillance program that could help local authorities to improve pandemic preparation plans, particularly with regard to governmental education and media campaigns.


Subject(s)
COVID-19 , Ascorbic Acid , Bahrain , COVID-19/prevention & control , Health Knowledge, Attitudes, Practice , Humans , SARS-CoV-2 , Students , Surveys and Questionnaires , Universities
5.
Clin Infect Dis ; 2022 Jun 08.
Article in English | MEDLINE | ID: covidwho-1886389

ABSTRACT

BACKGROUND: The Middle East respiratory syndrome coronavirus (MERS-CoV) is a highly pathogenic zoonotic betacoronaviruses and a global public health concern. Better undersetting of the immune responses to MERS-CoV is needed to characterize the correlates of protection and durability of the immunity and to aid in developing preventative and therapeutic interventions. While MERS-CoV-specific circulating antibodies could persist for several years post-recovery, their waning raises concerns about their durability and role in protection. Nonetheless, memory B and T cells could provide long-lasting protective immunity despite the serum antibodies levels. METHODS: Serological and flow cytometric analysis of MERS-CoV-specific immune responses were performed on samples collected from a cohort of recovered individuals who required intensive care unit (ICU) admission as well as hospital or home isolation several years after infection to characterize the longevity and quality of humoral and cellular immune responses. RESULTS: Our data showed that MERS-CoV infection could elicit robust long-lasting virus-specific binding and neutralizing antibodies as well as T and B cell responses up to 6.9 years post-infection regardless of disease severity or need for ICU admission. Apart from the persistent high antibody titers, this response was characterized by B cell subsets with antibody-independent functions as demonstrated by their ability to produce TNF-α, IL-6, and IFN-γ cytokines in response to antigen stimulation. Furthermore, virus-specific activation of memory CD8+ and CD4+ T cell subsets from MERS-recovered patients resulted in secretion of high levels of TNF-α, IL-17 and IFN-γ. CONCLUSIONS: MERS-CoV infection could elicit robust long-lasting virus-specific humoral and cellular responses.

6.
International Conference on Technology Innovation in Mechanical Engineering, TIME 2021 ; : 539-550, 2022.
Article in English | Scopus | ID: covidwho-1872028

ABSTRACT

In this paper, we are developing a system to constantly monitor people if they are wearing a mask and maintain social distancing. The human detection and mask verification from the live streaming is done using an object detection algorithm mobilenet SSD. The distance between two humans is calculated using the eucleidian distance between two bounding boxes of the humans to verify if they are maintaining social distancing. If two humans are not following social distancing or even if they are not wearing any mask the bounding boxes are marked red alerting them. Thus, helps to effectively monitor social distancing norms among the general public. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

7.
Journal of Competitiveness ; 14(1):61-79, 2022.
Article in English | Web of Science | ID: covidwho-1811223

ABSTRACT

The coronavirus disease (COVID-19) pandemic generated an upsurge in demand for medical products. Trade policy changes, including export restrictions and import reforms, have led to a shortage of medical products. The World Health Organization has recommended countries to encourage local production and identify various import sources for medical products to ensure sustainable healthcare capacity to combat the COVID-19 pandemic and any similar events in the future. This study aims to examine the comparative advantages and competitiveness in producing medical products among top exporters. The contribution of this study is the ability to identify various import sources specific to developing countries. From the exporter's perspective, this study allows countries to recognize their existing competitive strengths in the medical products trade, allowing them to strategize and compete in the international markets of medical products. Using Balassa's revealed comparative advantage index, this study analyzes 25 primary medical product exporters, identifying several countries with a comparative advantage in producing medical products. Medicines are primarily dominated by high-income countries, including Switzerland and Germany, whereas middle-income countries, such as China and Malaysia, are more specialized in medical supplies, medical equipment, and personal protective products. This finding provides a basis for policy formulation that can facilitate the process of building a sustainable healthcare capacity.

8.
PubMed; 2021.
Preprint in English | PubMed | ID: ppcovidwho-333818

ABSTRACT

INTRODUCTION: The role of overcrowded and multigenerational households as a risk factor for COVID-19 remains unmeasured. The objective of this study is to examine and quantify the association between overcrowded and multigenerational households, and COVID-19 in New York City (NYC). METHODS: We conducted a Bayesian ecological time series analysis at the ZIP Code Tabulation Area (ZCTA) level in NYC to assess whether ZCTAs with higher proportions of overcrowded (defined as proportion of estimated number of housing units with more than one occupant per room) and multigenerational households (defined as the estimated percentage of residences occupied by a grandparent and a grandchild less than 18 years of age) were independently associated with higher suspected COVID-19 case rates (from NYC Department of Health Syndromic Surveillance data for March 1 to 30, 2020). Our main measure was adjusted incidence rate ratio (IRR) of suspected COVID-19 cases per 10,000 population. Our final model controlled for ZCTA-level sociodemographic factors (median income, poverty status, White race, essential workers), prevalence of clinical conditions related to COVID-19 severity (obesity, hypertension, coronary heart disease, diabetes, asthma, smoking status, and chronic obstructive pulmonary disease), and spatial clustering. RESULTS: 39,923 suspected COVID-19 cases presented to emergency departments across 173 ZCTAs in NYC. Adjusted COVID-19 case rates increased by 67% (IRR 1.67, 95% CI = 1.12, 2.52) in ZCTAs in quartile four (versus one) for percent overcrowdedness and increased by 77% (IRR 1.77, 95% CI = 1.11, 2.79) in quartile four (versus one) for percent living in multigenerational housing. Interaction between both exposures was not significant (beta interaction = 0.99, 95% CI: 0.99-1.00). CONCLUSIONS: Over-crowdedness and multigenerational housing are independent risk factors for suspected COVID-19. In the early phase of surge in COVID cases, social distancing measures that increase house-bound populations may inadvertently but temporarily increase SARS-CoV-2 transmission risk and COVID-19 disease in these populations.

9.
PubMed; 2021.
Preprint in English | PubMed | ID: ppcovidwho-333774

ABSTRACT

IMPORTANCE: As the United States continues to accumulate COVID-19 cases and deaths, and disparities persist, defining the impact of risk factors for poor outcomes across patient groups is imperative. OBJECTIVE: Our objective is to use real-world healthcare data to quantify the impact of demographic, clinical, and social determinants associated with adverse COVID-19 outcomes, to identify high-risk scenarios and dynamics of risk among racial and ethnic groups. DESIGN: A retrospective cohort of COVID-19 patients diagnosed between March 1 and August 20, 2020. Fully adjusted logistical regression models for hospitalization, severe disease and mortality outcomes across 1-the entire cohort and 2-within self-reported race/ethnicity groups. SETTING: Three sites of the NewYork-Presbyterian health care system serving all boroughs of New York City. Data was obtained through automated data abstraction from electronic medical records. PARTICIPANTS: During the study timeframe, 110,498 individuals were tested for SARS-CoV-2 in the NewYork-Presbyterian health care system;11,930 patients were confirmed for COVID-19 by RT-PCR or covid-19 clinical diagnosis. MAIN OUTCOMES AND MEASURES: The predictors of interest were patient race/ethnicity, and covariates included demographics, comorbidities, and census tract neighborhood socio-economic status. The outcomes of interest were COVID-19 hospitalization, severe disease, and death. RESULTS: Of confirmed COVID-19 patients, 4,895 were hospitalized, 1,070 developed severe disease and 1,654 suffered COVID-19 related death. Clinical factors had stronger impacts than social determinants and several showed race-group specificities, which varied among outcomes. The most significant factors in our all-patients models included: age over 80 (OR=5.78, p= 2.29x10 -24 ) and hypertension (OR=1.89, p=1.26x10 -10 ) having the highest impact on hospitalization, while Type 2 Diabetes was associated with all three outcomes (hospitalization: OR=1.48, p=1.39x10 -04 ;severe disease: OR=1.46, p=4.47x10 -09 ;mortality: OR=1.27, p=0.001). In race-specific models, COPD increased risk of hospitalization only in Non-Hispanics (NH)-Whites (OR=2.70, p=0.009). Obesity (BMI 30+) showed race-specific risk with severe disease NH-Whites (OR=1.48, p=0.038) and NH-Blacks (OR=1.77, p=0.025). For mortality, Cancer was the only risk factor in Hispanics (OR=1.97, p=0.043), and heart failure was only a risk in NH-Asians (OR=2.62, p=0.001). CONCLUSIONS AND RELEVANCE: Comorbidities were more influential on COVID-19 outcomes than social determinants, suggesting clinical factors are more predictive of adverse trajectory than social factors. KEY POINTS: QUESTION: What is the impact of patient self-reported race, ethnicity, socioeconomic status, and clinical profile on COVID-19 hospitalizations, severity, and mortality?FINDINGS: In patients diagnosed with COVID-19, being over 50 years of age, having type 2 diabetes and hypertension were the most important risk factors for hospitalization and severe outcomes regardless of patient race or socioeconomic status. MEANING: In this large sample pf patients diagnosed with COVID-19 in New York City, we found that clinical comorbidity, more so than social determinants of health, was associated with important patient outcomes.

10.
Cureus ; 14(3): e23526, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1791844

ABSTRACT

Vaccinations prevented severe clinical complications of COVID-19. It was considered a vital component of living endemically with COVID-19. The Pfizer-BioNTech vaccine is the first mRNA-based vaccination that enhances immunity. Resulting in various adverse effects that may emerge after vaccination. This systematic review was undertaken to assess the Pfizer-BioNTech vaccine side effects by reviewing the previous studies. A total of 107 PubMed and Google Scholar publications were screened for Pfizer-BioNTech COVID-19 vaccine side effects. Fourteen articles met the study inclusion criteria. The included searching terms were a combination of "Pfizer vaccine and Side effects," "BioNTech vaccine and side effects," and "BNT162b2 vaccine and side effects," as well as all synonyms. The total number of participants in the 14 studies was 10,632 participants. Average of the most frequent side effects of 14 studies were injection site pain 77.34%, fatigue 43%, muscle pain 39.67%, local swelling 33.57%, headache 33.27%, joint pain 25.75%, chills 18.34%, fever 18%, itching 9.38%, lymph nodes swelling 7.86%, nausea 7.58%, dyspnea 7.86%,and diarrhea 6.36%. The average side effects after the first dose were 79% compared with 84% after the second dose. The average occurs side effects in females at 69.8% compared with males 30.2%. Our study reveals that side effects after the Pfizer-BioNTech vaccine are common, but they are usually mild and self-limited. Local reactions like pain at the injection site are the most common. Anaphylactic shock or severe reactions are rare. We hope that our results will reassure the public that the benefits of vaccination far exceed the dangers. Also, help reduce vaccine hesitancy among individuals worried about vaccine safety and possible adverse effects.

11.
PubMed; 2021.
Preprint in English | PubMed | ID: ppcovidwho-331161

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the outbreak of coronavirus disease 2019 (COVID-19), which has been rapidly spreading. Several guideline therapies have been proposed as a possible treatment for SARS-CoV-2, however, these therapies are not sufficient to treat a severe condition of SARS-CoV-2 infection characterised by the increase of D-dimer and C-reactive protein (CRP) levels, and patchy ground-glass opacities (GGOs). Secretome-mesenchymal stem cells (S-MSCs) produced by MSCs under hypoxia could excessively release several anti-inflammatory cytokines and growth factors to control the COVID-19 cytokine storm and accelerate lung injury improvement. This is the first study investigating the clinical outcomes of three severe COVID-19 patients admitted to the intensive care unit of three different hospitals in Indonesia treated with S-MSCs. The decrease of D-dimer and CRP level was reported for all patients treated with S-MSCs. This was in line with improvement of pulmonary radiology, blood gas level, and hematologic assessment. In conclusion, these cases suggest that S-MSCs could effectively control D-dimer, CRP level and GGOs of severe COVID-19 patients associated with recovered pulmonary function.

12.
ChemistrySelect ; 7(12): e202200130, 2022 Mar 29.
Article in English | MEDLINE | ID: covidwho-1763294

ABSTRACT

Amid the current COVID-19 pandemic, the emergence of several variants in a relatively high mutation rate (twice per month) strengthened the importance of finding out a chemical entity that can be potential for developing an effective medicine. In this study, we explored ethyl acetate (EtOAc) extract of a marine-derived fungus Aspergillus cosatricaensis afforded three butenolide derivatives, butyrolactones I, VI and V (1-3), two naphtho-γ-pyrones, TMC-256 A1 (4) and rubrofusarin B (5) and methyl p-hydroxyphenyl acetate (6). Structure identification was unambiguously determined based on exhaustive spectral analyses including 1D/2D NMR and mass spectrometry. The isolated compounds (1-6) were assessed for their in vitro anti-inflammatory, antiallergic, elastase inhibitory activities and in silico SARS-CoV-2 main protease (Mpro). Results exhibited that only butenolides (1 and 2) revealed potent activities similar to or more than reference drugs unlike butyrolactone V (3) suggesting them as plausible chemical entities for developing lead molecules.

13.
Human-centric Computing and Information Sciences ; 11, 2021.
Article in English | Scopus | ID: covidwho-1754126

ABSTRACT

Video stimulus is commonly used to induce different emotional states. Numerous sets of stimulus materials were produced in recent years;however, sets that include Asian clips are still inadequate. This study identified and validated 24 videos expected to elicit specific emotional reactions in a two-dimensional model of valence and arousal. The videos consist of excerpts from movies, TV shows, and advertisements from various regions, including Asia. The study was conducted during the COVID-19 pandemic;therefore, instead of the traditional approach of physical sessions in the laboratory, online surveys were conducted to collect responses from 42 participants. The findings show that 79% of the videos successfully evoked the targeted emotions. The participants’ demographic factors, such as age, gender, race, nationality, and place of residence, were taken into account to explore and understand the different perspectives among the participants towards the videos. The outcomes disclosed that all selected videos are gender-neutral. The emotions elicited by several videos revealed significant differences among people of different races and nationalities. This finding indicates that the background and culture affected one’s perspective and, subsequently, the emotion © 2021, Human-centric Computing and Information Sciences.All Rights Reserved.

14.
Contemporary Chinese Political Economy and Strategic Relations ; 7(3):1399-1428,XIII-XIV, 2021.
Article in English | ProQuest Central | ID: covidwho-1743632

ABSTRACT

The Sino-Israeli relations have gone through several stages. These relations were important for China in the early stages to get access to the Western military and security technologies, and to benefit from Israel's growing multisectoral technologies later. In addition, the geopolitical position of Israel is important and strategic for China in the Belt and Road Initiative. Israel tries through its economic and security relations with China to diversify its allies and to open new markets;China is important in this dimension as the main power in Asia and the leader of the Asian markets and economies. Politically, Israel attempts to limit the Chinese support for the Palestinians and for Iran gradually through deepening its ties with Beijing. This paper aims to explore Sino-Israeli bilateral relations and its transformations. It also highlights the impact of the American pressure on these relations and the consequences of upgrading Sino-Israeli ties for China's positions on the Palestinian cause. The paper also portrays the Sino-Israeli relations in the Mediterranean geopolitical context.

15.
J Atmos Chem ; 79(1): 39-66, 2022.
Article in English | MEDLINE | ID: covidwho-1739382

ABSTRACT

At the pandemic of COVID-19, the movement of business and other non-essential activities were majorly restricted at the end of March 2020 in India and continued in different lockdown phases until June 2020. By categorically, studying sensitivity towards anthropogenic factors with other environmental implications in urban Indian cities during phase-wise lockdown scenarios will pave the way for a refined Clean Air Programme (CAP). In this study, the aerosol particulate matter variations between the lockdown phases in both spatial and temporal scales have been explored along with cities exceeding national ambient air quality (NAAQ) standards covering different geographical regions of India for their air quality level. The results of the spatial pattern of Copernicus Atmosphere Monitoring System (CAMS) near-real-time data showed a negative change both in Aerosol Optical Depth (AOD) (-0.2 to 0.1) and black carbon AOD (bcAOD) (-0.9 to -0.75). The changes were evident in successive phases of lockdown with an overall AOD reduction of about 70-90%. Southern urban cities showed a significant impact of mobile sources from temporal analysis than other cities. Principal Component Analysis (PCA) for effects of pollutants by anthropogenic factors (mobile and point source) and meteorological factors (wind speed, wind direction, solar radiation, relative humidity) revealed the two significant driving factors. PM reduction was about 50-70%, predominantly due to anthropogenic factors. The factor analysis revealed the influence of meteorological factors between the major urban cities (Delhi, Kolkata, Mumbai, Chennai, Bengaluru, and Hyderabad). Cities that exceed NAAQ standard performed well during phase-wise lockdowns, exceptional to cities in Gangetic plain. This study helps to frame region-specific strategic action plans for the CAP.

16.
2021 IEEE International Conference on Computing, ICOCO 2021 ; : 372-376, 2021.
Article in English | Scopus | ID: covidwho-1730967

ABSTRACT

Depression is a common illness that is affecting many people nowadays, this is especially true now with the advent of the COVID-19 pandemic. It often arises when a person is having difficulty coping with stressful life events. It can occur throughout the lifespan of a person, and it pervades all aspects of our lives. Currently, depression diagnoses rely on patient interviews and self-report questionnaires, which depend heavily on the patient honesty and the subjective experience of the clinician. In this paper, we will begin with investigating the viability of using the Short-Time Fourier Transform (STFT) as a feature descriptor to objectively diagnose depression from speech data. The dataset used in this research is the Audio-Visual Emotion Challenging 2017 (AVEC2017). The model is based on a modified ResNet18 model architecture to perform a binary classification (i.e., depressed or non-depressed). The STFT is computed from the speech signal to generate a mel-spectrogram for training and testing the model. The experiment shows that relying solely on STFT as an input feature resulted in an F1 score of 74.71% in classifying depression. © 2021 IEEE.

17.
International Journal of Advanced Computer Science and Applications ; 13(1):369-375, 2022.
Article in English | Scopus | ID: covidwho-1687562

ABSTRACT

Semester planner plays an essential role in students’ society that might help students have self-discipline and determination to complete their studies. However, during the COVID-19 pandemic, they faced difficulty organizing time management and doing a manual schedule. It resulted in substantial disruptions in learning, internal assessment disturbances, and the cancellation of public evaluations. Hence, this research aims to optimize the recommended semester planner, Timetable Generator using a greedy algorithm to increase student productivity. We identified three-set control functions for each entered information: 1) validation for the inserted information to ensure valid data and no redundancy, 2) focus scale, and 3) the number of hours to finish the activity. We calculate the priority task sequence to achieve the best optimal solution. The greedy algorithm can solve the optimization problem with the best optimal solution for each situation. Then, we executed it to make a recommended semester planner. From the test conducted, the functionality shows all the features successfully passed. We validate using test accuracy for the system’s reliability by evaluating it compared to the Brute Force algorithm, and the trends increase from 60% to 100%. © 2022, International Journal of Advanced Computer Science and Applications. All Rights Reserved.

18.
Avicenna ; 2022(1), 2022.
Article in English | EMBASE | ID: covidwho-1629470

ABSTRACT

Cysteine cathepsins are defined as lysosomal enzymes that are members of the papain family. Cysteine cathepsins (Cts) prevalently exist in whole organisms, varying from prokaryotes to mammals, and possess greatly conserved cysteine residues in their active sites. Cts are engaged in the digestion of cellular proteins, activation of zymogens, and remodeling of the extracellular matrix (ECM). Host cells are entered by SARS-CoV-2 via endocytosis. Cathepsin L and phosphatidylinositol 3-phosphate 5-kinase are crucial in endocytosis by cleaving the spike protein, which permits viral membrane fusion with the endosomal membrane and succeeds in the release of the viral genome to the host cell. Therefore, inhibition of cathepsin L may be advantageous in terms of decreasing infection caused by SARS-CoV-2. Coordinate inhibition of multiple Cts and lysosomal function by different drugs and biological agents might be of value for some purposes, such as a parasite or viral infections and antineoplastic applications. Zn2+ deficiency or dysregulation leads to exaggerated cysteine cathepsin activity, increasing the autoimmune/inflammatory response. For this purpose, Zn2+ metal can be safely combined with a drug that increases the anti-proteolytic effect of endogenous Zn2+, lowering the excessive activity of some CysCts. Biguanide derivative complexes with Zn2+ have been found to be promising inhibitors of CysCts protease reactions. Molecular docking studies of cathepsin L inhibited by the metformin-Zn+2 complex have been performed, showing two strong key interactions (Cys-25&His-163) and an extra H-bond with Asp-163 compared to cocrystallized Zn+2 (PDB ID 4axl).

19.
Cureus ; 14(1): e20958, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1626450

ABSTRACT

Introduction Coronavirus disease 2019 (COVID-19) pandemic has influenced various aspects of health care and its outcomes. Several studies conducted on different age groups from different countries have reported a decrease in the frequency of hospital visits during the pandemic. Aim This study aimed to assess the self-reported effect of the COVID-19 pandemic on hospital visits and healthcare outcomes in the pediatric age group. We further aimed to assess the participants' beliefs on the reasons for decreased frequency of hospital visits during the pandemic. Methods This was a quantitative analytical cross-sectional study. Data from the parents of children less than 14 years living in the Kingdom of Saudi Arabia (KSA) was collected using a self-administered structured questionnaire. The questionnaire included sociodemographic characteristics of the participants, self-reported frequency of hospital visits, and potential consequences on pediatric care outcomes during the pandemic. A total of 1,548 initial respondents filled the questionnaire, out of which only 1,311 had children aged less than 14 years. SPSS version 25 (IBM, New York, USA) was used for statistical analysis. Results We found that of the 1,311 eligible respondents, majority (75.1%) were mothers of the children while only 24.9% were fathers, and 34.4% of the respondents had two children less than 14 years. Majority (76.7%) of the respondents were from the central region and felt that the pandemic has reduced their frequency of hospital visits. Furthermore, majority (78.6%) of the respondents believed that the decreased hospital (emergency or clinic) visits did not have any negative effect on the health and care of their children. Moreover, 56.4% of the participants responded that lack of the need to visit the hospital during the pandemic was the reason for their decreased hospital visits frequency, and 51.6% were afraid of being infected by the virus. There was a significant association between decreased hospital visits and missing an appointment for vaccination, delayed diagnosis, deterioration of participants' children's condition, and running out of treatment and inability to refill. Conclusion This study was conducted to assess the impact of the COVID-19 pandemic on hospital visits and pediatric care outcomes in the KSA. We hypothesized that the pandemic has led to a reduction in pediatric hospital visits which might influence pediatric care outcomes. We found that there was a decrease in the frequency of hospital visits. This decrease was attributed to the lack of the need to go to the hospital or to the fear of being infected by the virus. A significant association was found between the participants' beliefs of the pandemic effect on hospital visits and its effect on the pediatric care outcomes.

20.
Medicina (Kaunas) ; 58(1)2021 Dec 23.
Article in English | MEDLINE | ID: covidwho-1580585

ABSTRACT

Despite the advance in the management of Coronavirus disease 2019 (COVID-19), the global pandemic is still ongoing with a massive health crisis. COVID-19 manifestations may range from mild symptoms to severe life threatening ones. The hallmark of the disease severity is related to the overproduction of pro-inflammatory cytokines manifested as a cytokine storm. Based on its anti-inflammatory activity through interfering with several pro and anti-inflammatory pathways, colchicine had been proposed to reduce the cytokine storm and subsequently improve clinical outcomes. Molecular docking analysis of colchicine against RNA-dependent RNA polymerase (RdRp) and protease enzymes of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) revealed that colchicine provided a grid-based molecular docking method, C-DOCKER interaction energy 64.26 and 47.53 (Kcal/mol) with protease and RdRp, respectively. This finding indicated higher binding stability for colchicine-protease complexes than the colchicine-RdRp complex with the involvement of seven hydrogen bonds, six hydrogen acceptors with Asn142, Gly143, Ser144, and Glu166 and one hydrogen-bond donors with Cys145 of the protease enzyme. This is in addition to three hydrophobic interactions with His172, Glu166, and Arg188. A good alignment with the reference compound, Boceprevir, indicated high probability of binding to the protease enzyme of SARS-CoV-2. In conclusion, colchicine can ameliorate the destructive effect of the COVID-19 cytokine storm with a strong evidence of antiviral activity by inhibiting the protease enzyme of SARS-CoV-2.


Subject(s)
COVID-19 , Colchicine/therapeutic use , Coronavirus 3C Proteases/antagonists & inhibitors , Cytokine Release Syndrome/drug therapy , COVID-19/drug therapy , Cytokine Release Syndrome/virology , Humans , Molecular Docking Simulation , SARS-CoV-2/drug effects
SELECTION OF CITATIONS
SEARCH DETAIL