Evaluation of Microbiological Culture and Antibiogram of the Patient with Corneal Ulcer due to Exposure Keratitis in the Intensive Care Unit in Sina Farshchian Hospital (2019-2020)

Background: Since patients admitted to the intensive care unit have a compromised im-mune system and are more prone to infection than other patients, timely diagnosis and treatment of corneal ulcers among this group of patients can prevent vision loss. Therefore, it is necessary to treat eye infections and corneal ulcers promptly and economize prohibitive costs. Objective(s): Appropriate treatment with the most effective antibiotic before the answer is available to prevent corneal ulcer complications and blindness. Method(s): This study was conducted from November 2019 to November 2020 and after approval by the ethics committee of Hamedan University of Medical Sciences with the code of ethics: IR.UMSHA.REC.1398.716. First, the corneal secretions of 121 patients admitted to the intensive care unit of Sina Hospital are prepared by an ophthalmologist (after anesthetizing the cornea with tetra-caine drops and sterile swabs) and culture in four growth mediums (blood agar, chocolate agar, thio-glycolate, and EMB). Microbial cultures are examined after 48 hours and a fungal culture is examined one week later. Disc diffusions are placed in positive microbial cultures. Antibiotic susceptibility or resistance of the antibiogram was recorded. Other demographic data, including patients' age and sex, are extracted from ICU files. Also, test results and patient identifications are recorded in a checklist designed for this purpose. Result(s): Of all the antibiotics used against common bacteria, vancomycin (84%), colistin (80.43%), cefazolin (80%), and levofloxacin (60%) had the highest sensitivity and gentamicin (93.75%), ceftazidime (86.42%) Erythromycin (85%) had the highest resistance against isolated bacteria. Conclusion(s): The data obtained from this study showed that the most common microorganisms in the age group under the age of 30 years were Acinetobacter Baumannii, in the group of 30-60 years old was Klebsiella pneumonia, and age group over 61 years old was Staphylococcus aureus, and the most sensitive antibiotics in the age group under 30 years were vancomycin and levofloxacin and the age group30-60 were colistin and vancomycin and in the age group over 61 years were vancomycin and cefazolin.Copyright © 2023 Bentham Science Publishers.

A fast point-of-care PCR test for infectious diseases, based on aerosol capturing

The COVID-19 pandemic quickly revealed the limitations of existing monitoring and diagnostic capabilities. While rapid antigen tests are not sufficiently reliable, PCR turn-around-time (TAT) typically ranges from hours to days. Standard swab-based tests are also cumbersome and invasive and, worse yet, they detect infection and not transmissibility. A reliable diagnostic test able to discern the infectious phase of COVID-19 could interrupt transmission while limiting isolation requirements. We developed a non-invasive, impaction-based method for capturing aerosols from human breath in one minute of sampling. A proof-of-principle system was used for the detection of viral RNA in breath samples from confirmed positive subjects (=29). A lab setup demonstrated compatibility with on-chip PCR, reducing the TAT to 15-20 minutes. Positive percentage agreement (PPA) between a breath- and nasopharyngeal PCR is 75% overall and 92% in the first 7 days of infection, after which the breath does not contain measurable virus anymore. Breath positivity corresponds to the infectious window. No false positives were noted. Diagnostic accuracy is superior to nasopharyngeal rapid antigen tests. This novel concept of aerosol capturing combined with ultra-fast PCR is proven to be effective to detect SARS-CoV-2 in breath, rivalling the standard nasopharyngeal PCR tests. Combined with a TAT on par with rapid antigen tests, the technology has the potential to become a standard test in the coming years, for COVID-19 or other infectious diseases. A validation study with an advanced setup is currently ongoing, first data should be available during the presentation.

ERN-EUROBLOODNET EUROPEAN REGISTRY OF PATIENTS AFFECTED BY RED BLOOD CELL DISORDERS AND COVID-19

Background: Patients with red blood cell disorders (RBCD), are likely to be at increased risk of complications from SARS-Co-2 (Coid-19), but eidence in this population is scarce due to its low frequency and heterogeneous distribution. Aims: ERN-EuroBloodNet, the European Reference Network in rare hematological disorders, established a European registry to determine the impact of COVID-19 on RBCD patients and identify risk factors predicting seere outcomes. Methods: The ERN-EuroBloodNet registry was established in March 2020 by VHIR based on Redcap software in accordance with the Regulation (EU) 2016/679 on personal data. The local Research Ethics Committee confirmed that the exceptional case of the pandemic justifies the waier of informed consent. Eligible patients had confirmed RBCD and COVID-19. Data collected included demographics, diagnosis, comorbidities, treatments, and COVID-19 symptoms and management. For analysis of COVID-19 seerity, two groups were established 1) Mild: asymptomatic or mild symptoms without clinical pneumonia and 2) Seere: pneumonia requiring oxygen/respiratory support and/or admission to intensie care unit. Continuous ariables were compared using the Wilcoxon rank-sum test or Kruskall Wallis test, while categorical ariables were analyzed using the Chi-square test or Fisher's Exact test. Releant factors influencing disease or seerity were examined by the logistic regression adjusted for age. Results: As of February 25, 2022, 42 medical centers from 10 EU countries had registered 428 patients: 212 Sickle cell disease (SCD), 186 Thalassemia major and intermedia (THAL). The mean age of SCD was lower (22y) than of THAL (39.4y). Splenectomy and comorbidities were higher in THAL (51.4% and 61,3%) than in SCD (16,3% and 46,8%) (p<0.001, p=0.004). Age and BMI correlated with COVID-19 seerity, as described in the general population (p=0.003, p<0.001). Fig 1 shows age distribution and COVID-19 seerity by disease seerity groups. The mean age for seere COVID-19 was lower in patients with seere SCD (SS/SB0 s SC/SB+: 23y s 67.5y) and THAL (major s intermedia: 43.5 s 51.3y) (p<0.001). Potential risk factors such as eleated ferritin, current chelation or history of splenectomy did not confer additional risk for deeloping seere COVID-19 in any patient group. Only diabetes as a comorbidity correlated with seerity grade in SCD (p=0.01) and hypertension in THAL (p=0.009). While seere COVID-19 infection in SCD was associated with both ACS (p<0.001) and kidney failure requiring treatment (p<0.001), this was not predicted by a history of preious ACS or kidney disease in steady state. Oerall, 14,6% RBC patients needed oxygen/respiratory support, 4% were admitted to ICU with an oerall mortality rate of 1%, much lower than reported in other similar cohorts. Hospital Son Espases, Palma de Mallorca, Spain;54 Clinical Pharmacology Serice, Hospital Uniersitari Vall d'Hebron, Barcelona, Spain;55 Vall d'Hebron Institut de Recerca, Barcelona, Spain;56 Diision of Hematology and Oncology, Department of Internal Medicine, American Uniersity of Beirut Medical Center, Beirut, Lebanon;57 UOC Pediatric Hematology Oncology, Uniersity of Padoa, Padoa, Italy;58 Department of Haematology, Oxford Uniersity Hospitals NHS Foundation Trust, Oxford, United Kingdom;59 Translational Research in Child and Adolescent Cancer, Vall d'Hebron Institut de Recerca, Barcelona, Spain Background: Patients with red blood cell disorders (RBCD), are likely to be at increased risk of complications from SARS-Co-2 (Coid-19), but eidence in this population is scarce due to its low frequency and heterogeneous distribution. Aims: ERN-EuroBloodNet, the European Reference Network in rare hematological disorders, established a European registry to determine the impact of COVID-19 on RBCD patients and identify risk factors predicting seere outcomes. Methods: The ERN-EuroBloodNet registry was established in March 2020 by VHIR based on Redcap software in accordance with the Regulation (EU) 2016/679 on personal data. The local Research Ethics Committee confirm d that the exceptional case of the pandemic justifies the waier of informed consent. Eligible patients had confirmed RBCD and COVID-19. Data collected included demographics, diagnosis, comorbidities, treatments, and COVID-19 symptoms and management. For analysis of COVID-19 seerity, two groups were established 1) Mild: asymptomatic or mild symptoms without clinical pneumonia and 2) Seere: pneumonia requiring oxygen/respiratory support and/or admission to intensie care unit. Continuous ariables were compared using the Wilcoxon rank-sum test or Kruskall Wallis test, while categorical ariables were analyzed using the Chi-square test or Fisher's Exact test. Releant factors influencing disease or seerity were examined by the logistic regression adjusted for age. Results: As of February 25, 2022, 42 medical centers from 10 EU countries had registered 428 patients: 212 Sickle cell disease (SCD), 186 Thalassemia major and intermedia (THAL). The mean age of SCD was lower (22y) than of THAL (39.4y). Splenectomy and comorbidities were higher in THAL (51.4% and 61,3%) than in SCD (16,3% and 46,8%) (p<0.001, p=0.004). Age and BMI correlated with COVID-19 seerity, as described in the general population (p=0.003, p<0.001). Fig 1 shows age distribution and COVID-19 seerity by disease seerity groups. The mean age for seere COVID-19 was lower in patients with seere SCD (SS/SB0 s SC/SB+: 23y s 67.5y) and THAL (major s intermedia: 43.5 s 51.3y) (p<0.001). Potential risk factors such as eleated ferritin, current chelation or history of splenectomy did not confer additional risk for deeloping seere COVID-19 in any patient group. Only diabetes as a comorbidity correlated with seerity grade in SCD (p=0.01) and hypertension in THAL (p=0.009). While seere COVID-19 infection in SCD was associated with both ACS (p<0.001) and kidney failure requiring treatment (p<0.001), this was not predicted by a history of preious ACS or kidney disease in steady state. Oerall, 14,6% RBC patients needed oxygen/respiratory support, 4% were admitted to ICU with an oerall mortality rate of 1%, much lower than reported in other similar cohorts. Summary/Conclusion: Results obtained so far show that seere COVID-19 occurs at younger ages in more aggressie forms of SCD and THAL. Current preentie approaches focus on age oer disease seerity. Our data highlights the risk of seere COVID-19 infection in some young patients, particularly those with SS/SB0 SCD, suggesting that immunization should be considered in this pediatric group as well. Results between similar sized cohorts of RBCD patients ary between each other and those presented here, highlighting the importance of collecting all of these small cohorts together to ensure adequate statistical power so that definitie risk factors can be reliably identified and used to guide management of patients with these rare disorders in the light of the ongoing pandemic. (Figure Presented).

COVID-19 and diffusion of rumors among Arab social media users: reasons and solutions

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.

Modeling the crossover behavior of the bacterial infection with the COVID-19 epidemics.

To explore the crossover linkage of the bacterial infections resulting from the viral infection, within the host body, a computational framework is developed. It analyzes the additional pathogenic effect of Streptococcus pneumonia, one of the bacteria that can trigger the super-infection mechanism in the COVID-19 syndrome and the physiological effects of innate immunity for the control or eradication of this bacterial infection. The computational framework, in a novel manner, takes into account the action of pro-inflammatory and anti-inflammatory cytokines in response to the function of macrophages. A hypothetical model is created and is transformed to a system of non-dimensional mathematical equations. The dynamics of three main parameters (macrophages sensitivity κ , sensitivity to cytokines η and bacterial sensitivity ϵ ), analyzes a "threshold value" termed as the basic reproduction number R 0 which is based on a sub-model of the inflammatory state. Piece-wise differentiation approach is used and dynamical analysis for the inflammatory response of macrophages is studied in detail. The results shows that the inflamatory response, with high probability in bacterial super-infection, is concomitant with the COVID-19 infection. The mechanism of action of the anti-inflammatory cytokines is discussed during this research and it is observed that these cytokines do not prevent inflammation chronic, but only reduce its level while increasing the activation threshold of macrophages. The results of the model quantifies the probable deficit of the biological mechanisms linked with the anti-inflammatory cytokines. The numerical results shows that for such mechanisms, a minimal action of the pathogens is strongly amplified, resulting in the "chronicity" of the inflammatory process.

New Variant of SARS-CoV-2 Dynamics with Imperfect Vaccine

The occurrence of a new strain of SARS-CoV-2 cannot be ruled out. Therefore, this study seeks to investigate the possible effects of a hypothetical imperfect anti-COVID-19 vaccine on the control of not only the first variant of SARS-CoV-2 but also the second (new) variant of SARS-CoV-2. We further examine the rates r and a, escape of quarantined infectious individuals from isolation centers. The control Rc and basic reproduction numbers R0 are computed which gives assess to obtain asymptotic stability of disease-free equilibrium point globally and the existence of a unique persistent equilibrium solution. Numerical results reveal that people infected with the second strain who are vaccinated with an imperfect vaccine are under control but the prevalence of the second variant enhances the prevalence of the first variant. Thus, discovering a vaccine that is effective (to a good extent) for the prevention of variant 2 (new variant) is necessary for the control of COVID-19. Numerical results also reveal that increase in the rate at which individuals infected with the first variant escape the isolation center gives rise to the population infected with the first variant and lowers the peak of the population infected with the second variant. This is probably because individuals infected with the second variant appear to be more careful with their lives and get vaccinated more than individuals infected with the first variant.

Newly synthesized series of oxoindole-oxadiazole conjugates as potential anti-SARS-CoV-2 agents: in silico and in vitro studies

In this study, a series of 1,3,4-oxadiazoles carrying the isatin moiety (IVa-g) as anti-SARS-CoV-2 agents were designed and synthesized. Molecular docking of the compounds (IVa-g) into the SARS-CoV-2 M-pro active site showed promising binding affinities. The docking results were supported using molecular dynamics simulations and MM-GBSA calculations as well. To validate the in silico predictions, all compounds were evaluated for their half-maximal cytotoxicity (CC50) and virus-inhibitory (IC50) concentrations. The CC50 concentrations were remarkably high for most of the tested compounds. However, compounds IVe and IVg showed high activity against SARS-CoV-2 at IC50 values of 13.84 mu M and 4.63 mu M, with selectivity indices of 4.1 and 5.9, respectively. The most potent antiviral agent IVg demonstrated an IC50 of 16.6 mu M against SARS-CoV-2 M-pro, which is considered a moderate activity. However, the represented cellular antiviral activity of IVg could justify further optimization to develop this series of compounds as broad-spectrum anti-SARS-CoV-2 agents.

Forecasting of the efficiency of monoclonal therapy in the treatment of CoViD-19 induced by the Omicron variant of SARS-CoV2.

On November 26, 2021, the World Health Organization (WHO) announced a new variant of concern of SARS-CoV2 called Omicron. This variant has biological-functional characteristics such as to make it much faster in the infectious process so as to show an even more intense spread. Although many data are currently incomplete, it is possible to identify, based on the viral biochemical characteristics, a possible therapy consisting of a monoclonal antibody called Sotrovimab. The model proposed here is based on the mathematical analysis of the dynamics of action of this monoclonal antibody and two cell populations: the immune memory cells and the infected cells. Indeed, a delay exists during the physiological immune response and the response induced by administration of Sotrovimab. This manuscript presents that delay in a novel manner. The model is developed with the aid of information based on the chemical kinetics. The machine learning tools have been used to satisfy the criteria designed by the dynamical analysis. Regression learner tools of Python are used as the reverse engineering tools for the understanding of the balance in the mathematical model, maintained by the parameters and their corresponding intervals and thresholds set by the dynamical analysis.

ERN-EuroBloodNet European Registry of Patients Affected by Red Blood Cell Disorders and COVID-19

[Formula presented] PV, NR and MMP contributed equally Introduction Patients with red blood cell disorders (RBCD), chronic life threating multisystemic disorders in their severe forms, are likely to be at increased risk of complications from SARS-Cov-2 (Covid-19), but evidence in this population is scarce due to its low frequency and heterogeneous distribution. ERN-EuroBloodNet, the European Reference Network in rare hematological disorders, established a European registry to determine the impact of COVID-19 on RBCD patients and identify risk factors predicting severe outcomes. Methods The ERN-EuroBloodNet registry was established in March 2020 by Vall d'Hebron Research Institute based on REDcap software in accordance with the Regulation (EU) 2016/679 on personal data. The local Research Ethics Committee confirmed that the exceptional case of the pandemic justifies the waiver of informed consent. The ERN-EuroBloodNet registry on RBCD and COVID-19 is endorsed by the European Hematology Association (EHA). Eligible patients had confirmed RBCD and COVID-19. Data collected included demographics, diagnosis, comorbidities, treatments, and COVID-19 (severity grade, clinical manifestations, acute events, treatments, hospitalization, intensive care unit, death). For analysis of COVID-19 severity, two groups were established 1) Mild: asymptomatic or mild symptoms without clinical pneumonia and 2) Severe: pneumonia requiring oxygen/respiratory support and/or admission to intensive care unit. Continuous variables were compared using the Wilcoxon rank-sum test or Kruskall Wallis test, while categorical variables were analyzed using the Chi-square test or Fisher's Exact test. Relevant factors influencing disease or severity were examined by the logistic regression adjusted for age. Results As of June 2021, 42 medical centers from 10 EU countries had registered 373 patients: 191 Sickle cell disease (SCD), 156 Thalassemia major and intermedia (THAL) and 26 other RBCD. 84% of the SCD patients were reported by Spain, Belgium, Italy and The Netherlands and 92% of the THAL patients by Italy and Greece. The mean age of SCD was lower (22.5y) than of THAL (39.6y) with pediatric population accounting for 50.5% in SCD and 9% in THAL (p <0.001). Splenectomy and comorbidities were higher in THAL (51.3% and 65.8%) than in SCD (16% and 48.1%) (p<0.001, p=0.002). Age and BMI correlated with COVID-19 severity, as described in the general population (p=0.002, p<0.001). Fig 1 shows age distribution and COVID-19 severity by disease severity groups. The mean age for severe COVID-19 was lower in patients with severe SCD (SS/SB0 vs SC/SB+: 23.3y vs 67.5y) and THAL (major vs intermedia: 43.5 vs 51.3y) (p<0.001). Potential risk factors such as elevated ferritin, current chelation or history of splenectomy did not confer additional risk for developing severe COVID-19 in any patient group. Only diabetes as a comorbidity correlated with severity grade in SCD (p=0.011) and hypertension in THAL (p=0.014). While severe COVID-19 infection in SCD was associated with both ACS (p<0.001) and kidney failure requiring treatment (p=0.001), this was not predicted by a history of previous ACS or kidney disease in steady state. Overall, 14.8% RBC patients needed oxygen/respiratory support, 4.4% were admitted to ICU with an overall mortality rate of 0.8% (no deaths were registered in pediatric age), much lower than reported in other similar cohorts. Discussion Results obtained so far show that severe COVID-19 occurs at younger ages in more aggressive forms of SCD and THAL. Current preventive approaches (shielding, vaccinations) focus on age over disease severity. Our data highlights the risk of severe COVID-19 infection in some young patients, particularly those with SS/SB0 SCD, suggesting that immunization should be considered in this pediatric group as well. Results between similar sized cohorts of RBCD patients vary between each other and those presented here, highlighting the importance of collecting all of these small cohorts together to ensure adequate statistical p wer so that definitive risk factors (eg. age, genotype, comorbidities) can be reliably identified and used to guide management of patients with these rare disorders in the light of the ongoing pandemic. [Formula presented] Disclosures: Longo: Bristol Myers Squibb: Honoraria;BlueBird Bio: Honoraria. Bardón-Cancho: Novartis Oncology Spain: Research Funding. Flevari: PROTAGONIST COMPANY: Research Funding;ADDMEDICA: Consultancy, Research Funding;BMS: Research Funding;IMARA COMPANY: Research Funding;NOVARTIS COMPANY: Research Funding. Voskaridou: BMS: Consultancy, Research Funding;IMARA: Research Funding;NOVARTIS: Research Funding;ADDMEDICA: Consultancy, Research Funding;GENESIS: Consultancy, Research Funding;PROTAGONIST: Research Funding. Biemond: GBT: Honoraria, Research Funding, Speakers Bureau;Novartis: Honoraria, Research Funding, Speakers Bureau;Novo Nordisk: Honoraria;Celgene: Honoraria;Sanquin: Research Funding. Nur: Celgene: Speakers Bureau;Roche: Speakers Bureau;Novartis: Research Funding, Speakers Bureau. Beneitez-Pastor: Agios: Honoraria;Alexion: Honoraria;Novartis: Honoraria;Forma Therapeutics: Honoraria. Pepe: Chiesi Farmaceutici S.p.A: Other: no profit support;Bayer S.p.A.: Other: no profit support. de Montalembert: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees;Addmedica: Membership on an entity's Board of Directors or advisory committees;BlueBirdBio: Membership on an entity's Board of Directors or advisory committees;Vertex: Membership on an entity's Board of Directors or advisory committees. Glenthøj: Agios: Consultancy;Novo Nordisk: Honoraria;Novartis: Consultancy;Alexion: Research Funding;Bluebird Bio: Consultancy;Bristol Myers Squibb: Consultancy;Saniona: Research Funding;Sanofi: Research Funding. Benghiat: Novartis: Consultancy;BMS: Consultancy. Labarque: Novartis: Consultancy;Bayer: Consultancy;Sobi: Consultancy;NovoNordisk: Consultancy;Octapharma: Consultancy. Diamantidis: Genesis Pharma: Honoraria;Uni-Pharma: Honoraria;Bristol Myers Squibb: Consultancy;IONIS Pharmaceuticals: Research Funding;NOVARTIS, Genesis Pharma SA: Research Funding. Kerkhoffs: Sanofi: Research Funding;Terumo BCT: Research Funding. Iolascon: Celgene: Other: Advisory Board;Bluebird Bio: Other: Advisory Board. Taher: Vifor Pharma: Consultancy, Research Funding;Agios Pharmaceuticals: Consultancy;Ionis Pharmaceuticals: Consultancy, Research Funding;Bristol Myers Squibb: Consultancy, Research Funding;Novartis: Consultancy, Research Funding. Colombatti: Novartis: Membership on an entity's Board of Directors or advisory committees;Global Blood Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding;Novonordisk: Membership on an entity's Board of Directors or advisory committees;Forma Therapeutics: Membership on an entity's Board of Directors or advisory committees;Addmedica: Membership on an entity's Board of Directors or advisory committees;BlueBirdBio: Research Funding. Mañú Pereira: Novartis: Research Funding;Agios Pharmaceuticals: Research Funding.

Piecewise differentiation of the fractional order CAR-T cells-SARS-2 virus model.

The pandemic caused by the SARS-CoV2 virus has prompted research into new therapeutic solutions that can be used to treat the CoVid-19 syndrome. As part of this research, immunotherapy, first developed against cancer, is offering new therapeutic horizons also against viral infections. CAR technology, with the production of CAR-T cells (adoptive immunotherapy), has shown applicability in the field of HIV viral infections through second generation CAR-T cells implemented with the "CD4CAR" system with a viral fusion inhibitor. In addition, to avoid the immunoescape of the virus, bi- or trispecific CAR receptors have been developed. Our research group hypothesizes the use of this immunotherapy system against SARS-CoV2, admitting the appropriate adjustments concerning the target-epitope and a possible remodeling of the nuclease related to the action of this virus. For a more in-depth analysis of this hypothesis, a mathematical model has been developed which, starting from the fractional derivative Caputo, creates a system of equations that describes the interactions between CAR-T cells, memory cells, and cells infected with SARS-CoV2. Through an analysis of the existence and non-negativity of the solutions, the hypothesis is stabilized; then is further demonstrated through the use of the piece-wise derivative and the consequent application of the formula of Newton polynomial interpolation.

How Internet of Things responds to the COVID-19 pandemic.

The cornovirus disease (COVID-19) pandemic has had a severe impact on our daily lives. As a result, there has been an increasing demand for technological solutions to overcome such challenges. The Internet of Things (IoT) has recently emerged to improve many aspects of human's day-to-day activities and routines. IoT makes it easier to follow the safety guidelines and precautions provided by the World Health Organization (WHO). Prior reports have shown that the world nowadays may need more IoT facilities than ever before. However, little is known about the reaction of the IoT community towards defeating the COVID-19 pandemic, technologies being used, solutions being provided, and how our societies perceive the IoT means available to them. In this paper, we conduct an empirical study to investigate the IoT response to the COVID-19 pandemic. In particular, we study the characteristics of the IoT solutions hosted on a large online IoT community (i.e., Hackster.io) throughout the year of 2020. The study: (a) explores the proportion, types, and nations of IoT solutions/engineers that contributed to defeating COVID-19, (b) characterizes the complexity of COVID-19 IoT solutions, and (c) identifies how IoT solutions are perceived by the surrounding community. Our results indicate that IoT engineers have been actively working towards providing solutions to help their societies, especially in the most affected nations. Our findings (i) provide insights into the aspects IoT practitioners need to pay more attention to when developing IoT solutions for COVID-19 and to (ii) outlines the common IoT solutions and technologies available to humans to deal with the current challenges.

Assessing the online objective structured clinical examinations in urology qualifying exam for urology residents in Indonesia during COVID-19 time.

This project aimed to assess the Online National Board of Urology Objective Structured Clinical Examination (OSCE) feasibility in evaluating candidates simultaneously from five urology training centers in Indonesia during the COVID-19 pandemic. Data were collected from two online OSCE simulation trials and the Online National Board of Urology OSCE. A self-administered questionnaire was used to assess examiners and candidates' perception. The average final score of the Online OSCE was compared to previous face-to-face OSCE results. All candidates and examiners (100%) heard and saw clearly the audio-visual in both OSCE simulation trials. None of the candidates had a failing score on the mock exam from all stations. There was a statistically significant difference between the online OSCE and December 2019 face-to-face OSCE. The Online National Board Urology OSCE was feasible and comparable to face-to-face OSCE in evaluating urology candidates. It may be beneficial for the future OSCE method in the medical education system.•Objective Structured Clinical Examination (OSCE) which assesses a broad range of urology candidates' high-level clinical skills, is a more valid and reliable assessment instrument than the traditional oral examination•The Online National Board of Urology OSCE method can help evaluate urology candidates, especially during the unprecedented COVID-19 pandemic.

Stability analysis and optimal control of Covid-19 pandemic SEIQR fractional mathematical model with harmonic mean type incidence rate and treatment.

In the present work, we investigated the transmission dynamics of fractional order SARS-CoV-2 mathematical model with the help of Susceptible S ( t ) , Exposed E ( t ) , Infected I ( t ) , Quarantine Q ( t ) , and Recovered R ( t ) . The aims of this work is to investigate the stability and optimal control of the concerned mathematical model for both local and global stability by third additive compound matrix approach and we also obtained threshold value by the next generation approach. The author's visualized the desired results graphically. We also control each of the population of underlying model with control variables by optimal control strategies with Pontryagin's maximum Principle and obtained the desired numerical results by using the homotopy perturbation method. The proposed model is locally asymptotically unstable, while stable globally asymptotically on endemic equilibrium. We also explored the results graphically in numerical section for better understanding of transmission dynamics.

Fractal-fractional mathematical modeling and forecasting of new cases and deaths of COVID-19 epidemic outbreaks in India.

Fractional-order derivative-based modeling is very significant to describe real-world problems with forecasting and analyze the realistic situation of the proposed model. The aim of this work is to predict future trends in the behavior of the COVID-19 epidemic of confirmed cases and deaths in India for October 2020, using the expert modeler model and statistical analysis programs (SPSS version 23 & Eviews version 9). We also generalize a mathematical model based on a fractal fractional operator to investigate the existing outbreak of this disease. Our model describes the diverse transmission passages in the infection dynamics and affirms the role of the environmental reservoir in the transmission and outbreak of this disease. We give an itemized analysis of the proposed model including, the equilibrium points analysis, reproductive number R 0 , and the positiveness of the model solutions. Besides, the existence, uniqueness, and Ulam-Hyers stability results are investigated of the suggested model via some fixed point technique. The fractional Adams Bashforth method is applied to solve the fractal fractional model. Finally, a brief discussion of the graphical results using the numerical simulation (Matlab version 16) is shown.

Mathematical model to assess the imposition of lockdown during COVID-19 pandemic.

Nigeria, like most other countries in the world, imposes lockdown as a measure to curtail the spread of COVID-19. But, it is known fact that in some countries the lockdown strategy could bring the desired results while in some the situation could worsen the spread of the virus due to poor management and lack of facilities, palliatives and incentives. To this regard, we feel motivated to develop a new mathematical model that assesses the imposition of the lockdown in Nigeria. The model comprises of a system of five ODE. Mathematical analysis of the model were carried out, where boundedness, computation of equilibria, calculation of the basic reproduction ratio and stability analysis of the equilibria were carried out. We finally study the numerical outcomes of the governing model in respect of the approximate solutions. To this aim, we employed the effective ODE45, Euler, RK-2 and RK-4 schemes and compare the results.