Otorhinolaryngological presentations of mucormycosis amid COVID-19 pandemic in a tertiary care hospital.

Objective: To describe presentations, comorbidities, investigations, and surgical treatment of patients with mucormycosis amid the COVID-19 pandemic in a tertiary care hospital in Khyber Pakhtunkhwa, Pakistan. Methods: This descriptive study was conducted at the department of ENT, and Head and Neck Surgery, Medical Teaching Institute, Lady Reading Hospital, Peshawar, Pakistan from June 2020 to June 2021. All the patients fulfilling the inclusion criteria were included. Patients with COVID-19 were diagnosed based on real-time polymerase chain reaction (RT-PCR). After diagnosing mucormycosis computed tomography (CT) scan and/or magnetic resonance imaging (MRI) were performed for subsequent surgical clearance. After taking informed consent demographic data were collected on a proforma and analyzed using SPPS version 25. Results: Out of 23 patients males were 14(60.9%), females were 9 (39.1%) with a male: female ratio of 1.5:1. Mean ± SD age was 51.26 ± 1.41 years. Nasal obstruction and headache were the most common (8, 34.8%) presentations. The commonest co-morbidities were hypertension with diabetes mellitus (8, 34.8%). Out of 23 patients, 16(69.6%) had COVID-19 PCR positive. The majority of patients (17, 73.9%) were not vaccinated against COVID-19. Most of the patients (9, 39.1%) had HbA1c levels of 7% to 8.9%. The commonest surgery was endoscopic debridement of paranasal sinuses (9, 39.1%), while the commonest CT scan finding was a heterogeneous lesion involving the nose, maxillary and ethmoid sinuses (12, 52.2%). Conclusion: Mucormycosis of paranasal sinuses with/or without intracranial extension is frequently seen in unvaccinated patients having uncontrolled diabetes and COVID-19 infection.

Exploiting the co-crystal ligands shape, features and structure-based approaches for identification of SARS-CoV-2 Mpro inhibitors.

SARS-CoV-2 enters the host cell through the ACE2 receptor and replicates its genome using an RNA-Dependent RNA Polymerase (RDRP). The functional RDRP is released from pro-protein pp1ab by the proteolytic activity of Main protease (Mpro) which is encoded within the viral genome. Due to its vital role in proteolysis of viral polyprotein chains, it has become an attractive potential drug target. We employed a hierarchical virtual screening approach to identify small synthetic protease inhibitors. Statistically optimized molecular shape and color-based features (various functional groups) from co-crystal ligands were used to screen different databases through various scoring schemes. Then, the electrostatic complementarity of screened compounds was matched with the most active molecule to further reduce the hit molecules' size. Finally, five hundred eighty-seven molecules were docked in Mpro catalytic binding site, out of which 29 common best hits were selected based on Glide and FRED scores. Five best-fitting compounds in complex with Mpro were subjected to MD simulations to analyze their structural stability and binding affinities with Mpro using MM/GB(PB)SA models. Modeling results suggest that identified hits can act as the lead compounds for designing better active Mpro inhibitors to enhance the chemical space to combat COVID-19.Communicated by Ramaswamy H. Sarma.

COVIDPUBGRAPH: A FAIR Knowledge Graph of COVID-19 Publications.

The rapid generation of large amounts of information about the coronavirus SARS-CoV-2 and the disease COVID-19 makes it increasingly difficult to gain a comprehensive overview of current insights related to the disease. With this work, we aim to support the rapid access to a comprehensive data source on COVID-19 targeted especially at researchers. Our knowledge graph, COVIDPUBGRAPH, an RDF knowledge graph of scientific publications, abides by the Linked Data and FAIR principles. The base dataset for the extraction is CORD-19, a dataset of COVID-19-related publications, which is updated regularly. Consequently, COVIDPUBGRAPH is updated biweekly. Our generation pipeline applies named entity recognition, entity linking and link discovery approaches to the original data. The current version of COVIDPUBGRAPH contains 268,108,670 triples and is linked to 9 other datasets by over 1 million links. In our use case studies, we demonstrate the usefulness of our knowledge graph for different applications. COVIDPUBGRAPH is publicly available under the Creative Commons Attribution 4.0 International license.

Assessing the Mediating Role of Safety Communication Between Safety Culture and Employees Safety Performance.

The main purpose of this research was to investigate the mediating role of safety communication (SCO) in the relationship between safety culture (SC) and safety performance (SP) amongst employees in the petrochemical industry. Safety communication methods not only enhance working conditions but also have a positive impact on employee's behaviors and attitudes toward safety leading toward reduced incidents in the workplace environment. A stratified sampling method was followed to collect data in the petrochemical industry in Malaysia. Structural equation modeling (SEM) was utilized to analyze the hypothesized model, using data from 320 participants. The findings reveal that safety communication partially mediates the association between safety culture and safety performance. Further, safety culture was found to have a significant and positive effect on safety performance. This -study makes a significant theoretical contribution by providing empirical evidence on the direct and indirect relationship between safety culture and safety performance in the petrochemical industry.

Self-control Mediates the Relationship between Psychosocial Strengths and Perceived Severity of COVID-19 among Frontline Healthcare Professionals of Pakistan: A Single Center Experience.

OBJECTIVE: To examine the relationship between psychosocial strengths (resilience, self-efficacy beliefs and social support) and perceived severity of COVID-19 and also to gauge the mediating role of self-control among frontline health care professionals of Pakistan. METHODS: A cross-sectional research design was utilized from March to April 2020 from one medical teaching hospital of South Punjab. As it was a single center experience so all the doctors were approached and asked to participate in this research. In total, 284 doctors (out of 300 approx.) completed online survey. The data were collected through online google forms consisting of self-report measures i.e. Brief Resilience Scale, Short General Self Efficacy Scale, Brief Scale for Social Support, Risk Behavior Diagnostic Scale and Brief Self-Control Scale. RESULTS: The results were analyzed by using SmartPLS (3.0), direct effect of psychosocial strengths on perceived severity of COVID-19 and indirect effect of self-control were assessed through path coefficients, t-values and r-square values. The results confirmed that there was significant negative relationship between psychosocial strengths and perceived severity of COVID-19 (ß = -0.854, t =14.279) with 72% variance in perceived severity due to psychosocial strengths. Further, the results also suggest that self-control proved significant mediator between psychosocial strengths and perceived severity (ß = -0.604, t = 11.004, variance in perceived severity is 74%). CONCLUSION: In the time of pandemic, medical professionals are working as frontline force and can have several uncertainties regarding the risk associated with outbreak of COVID-19. This study concludes psychosocial strengths can play a significant role in subsiding the risk associated with severity of disease. Whereas, self-control can significantly contribute to buffer the negative influence of COVID-19 among frontline medical professionals. In line with findings of this study, there is a dire need to initiate psychotherapeutic studies for medical professionals to boost up their psychosocial strengths that would make them resilient against COVID-19.

COVID-19 in a Dermatologist's Clinic: A Case From Pakistan.

SARS-CoV-2 is a novel virus that is the causative agent of COVID-19. It can affect a variety of human organ systems, including the skin. Five clinical patterns of this infection have been described. These patterns not only help in diagnosing the disease but are also helpful in predicting the severity of infection. The percentage of dermatological manifestations of COVID-19 is highly variable in different regions of the world, with some western countries reporting the percentage as high as 20%. However, the data from Asia, especially Pakistan, in this regard is sparse. We report a case of COVID-19 infection (PCR proven) with maculopapular eruption. To our knowledge, this is the first case report of its kind being reported from Pakistan. We would encourage our fellow physicians to report more such cases so that the dermatological pattern of COVID-19 in Pakistan can be appropriately categorized in the literature.

A Cross-Sectional Survey of Knowledge, Attitude, and Practices of University Students in Pakistan Regarding COVID-19.

The COVID-19 pandemic is striking the world with serious public health and socioeconomic complications. The pandemic has influenced all forms of daily life, including educational institutions. Therefore, this cross-sectional survey was conducted to understand knowledge, attitudes, and practices related to COVID-19 among the students of the University of Veterinary and Animal Sciences, Lahore. The data was collected using an online self-directed questionnaire. The survey form includes six items about sociodemographic characteristics, 14 knowledge-based questions, seven questions on attitude, and eight questions on practices. The sample number was calculated using the Raosoft sample size calculator. A total number of 3,854 students, including 1,823 men and 2,031 women, were engaged in this survey, having student representation from all the provinces in the country. The data were analyzed using a chi-square test. A total of 97% of the students knew that the etiological agent of COVID-19 is a virus and that it is a disease of the respiratory system (94%). Many students kept visiting their relatives during the lockdown (45%), and their relatives kept visiting them at home (59%). The responses from the students varied a lot on specific questions about the transmission of the virus. Women tended to have less information regarding precautionary travel measures (p < 0.01), but supplemental knowledge of prevention of disease transmission from positive patients (p < 0.01). Conclusively, the majority of the university students surveyed had imperative knowledge, a good attitude, and active practice in response to the COVID-19 outbreak. Moreover, the KAP scores have varied by demography, gender, and the number of family members. Therefore, continuous awareness of preventative behaviors should be disseminated regularly in emergencies.

Co-infections and antimicrobial use among hospitalized COVID-19 patients in Punjab, Pakistan: findings from a multicenter, point prevalence survey.

There are reports of high rates of antibiotic prescribing among hospitalized patients with COVID-19 around the world. To date, however, there are few reports of prescribing in relation to COVID-19 in Pakistan. Herein, we describe a point prevalence survey of antibiotic prescribing amongst patients hospitalized with suspected or proven COVID-19 in Pakistan. A Point Prevalence Survey (PPS) was undertaken in seven tertiary care health facilities in Punjab Provence, Pakistan. Baseline information about antimicrobial use according to the World Health Organization (WHO) standardized methodology was collected on a single day between 5th and 30 April 2021. A total of 617 patients' records were reviewed and 578 (97.3%) were documented to be receiving an antibiotic on the day of the survey. The majority (84.9%) were COVID-19 PCR positive, 61.1% were male and 34.9% were age 36 to 44 years. One quarter presented with severe disease, and cardiovascular disease was the major comorbidity in 13%. Secondary bacterial infection or co-infection (bacterial infection concurrent with COVID-19) was identified in only 1.4%. On the day of the survey, a mean of 1.7 antibiotics was prescribed per patient and 85.4% antibiotics were recorded as being prescribed for 'prophylaxis'. The most frequently prescribed antibiotics were azithromycin (35.6%), ceftriaxone (32.9%) and meropenem (7.6%). The majority (96.3%) of the antibiotics were empirical and all were from WHO Watch or Reserve categories. Overall, a very high consumption of antibiotics in patients hospitalized with suspected or proven COVID-19 was observed in Pakistan and this is concerning in view of already high rates of antimicrobial resistance in the region. Antimicrobial stewardship programs need to urgently address unnecessary prescribing in the context of COVID-19 infection.

Generalized Anxiety Disorder and Depressive Symptoms among Pakistani Population during the Second Wave of the COVID-19 Pandemic: A Regression Analysis.

Over a span of 1 year, with millions infected, COVID-19 has spread to every part of the world and now poses a health threat to each and every one of us. The outbreak has consequently resulted in multiple health problems such as stress, anxiety, depressive symptoms, insomnia, panic, and denial globally. Several factors have contributed to this rising number of psychiatric consults all over the world. The primary objective of this study was to investigate the impact of COVID-19 pandemic on the mental health of Pakistani population during the second wave of the pandemic in this region. We conducted an online web-based cross-sectional survey comprising 500 participants. The questionnaire assessed the demographic information, attitude, and knowledge concerning COVID-19 outbreak in addition to generalized anxiety disorder (GAD) utilizing the GAD-7 scale and depressive symptoms using the Center for Epidemiology Scale for Depression (CES-D) scale. The response rate of the study was 90.9%. The results of the survey indicated a prevalence of 25.4% of GAD, and 18.8% of depressive symptoms. Furthermore, nearly 34.8% of participants feared contracting COVID-19, 62.8% obtained constant critical updates regarding COVID-19, while 17.6% did not understand the knowledge regarding COVID-19. In the multivariate regression models, GAD was significantly associated with gender, age, and checking constantly of critical updates regarding COVID-19. Similarly, participants under 30 years had a higher risk of developing depressive symptoms than those above (> 30 years). Lastly, participants with no formal education were also found to be more prone to developing depression. We identified a potential threat to mental health during the pandemic.

Impact of Perceived Severity of COVID-19 (SARS-COV-2) on Mental Health of University Students of Pakistan: The Mediating Role of Muslim Religiosity.

Background: Perceived severity of COVID-19 (SARS-COV-2) is known to be associated with mental health of people in general and health professionals in particular in Western societies. However, its association with the mental health of students in Pakistan, which is predominantly a Muslim society, remains unclear so far. Moreover, the role of Muslim religiosity for such an association has not yet been investigated. We aimed to examine the association and report findings on the impact of perceived severity on mental health with a sample of students from all five provinces of Pakistan. Methods: We did a cross-sectional online survey from 1,525 Pakistani students in March 2020 using standardized measurement tools. We then determined the prevalence of perceived severity among students and its impact on their mental health. The strength of associations between these variables was estimated using generalized linear models, with appropriate distribution and link functions. Structural equation modeling through SmartPLS (3.0) software was utilized to analyze the results. Findings: The perceived severity of COVID-19 is significantly associated with mental health of Pakistani students, whereas Muslim religiosity is a strong mediator between perceived severity and mental health of Pakistani students. Conclusions: Though the perceived severity of COVID-19 is associated with mental health, this relationship can be better explained by the role of Muslim religiosity. When tested individually, the perceived severity accounted for only 18% variance in mental health that increased up to 57% by the mediating role of Muslim religiosity. This difference clearly indicates the mediating role of Muslim religiosity in the association between perceived severity and mental health for Pakistani students.

A new neutrosophic sign test: An application to COVID-19 data.

The Sign test is a famous nonparametric test from classical statistics used to assess the one or two sample averages. The test is practical when the sample size is small, or the distributional assumption under a parametric test does not satisfy. One of the limitations of the Sign test is the exact form of the data, and the existing methodology of the test does not cover the interval-valued data. The interval-valued data often comes from the fuzzy logic where the experiment's information is not sure and possesses some kind of vagueness, uncertainty or indeterminacy. This research proposed a modified version of the Sign test by considering the indeterminate state and the exact form of the data-the newly proposed sign test methodology is designed for both one-sample and two-sample hypothesis testing problems. The performance of the proposed modified versions of the Sign test is evaluated through two real-life data examples comprised of covid-19 reproduction rate and covid-positive daily occupancy in ICU in Pakistan. The findings of the study suggested that our proposed methodologies are suitable in nonparametric decision-making problems with an interval-valued data. Therefore, applying the new neutrosophic sign test is explicitly recommended in biomedical sciences, engineering, and other statistical fields under an indeterminate environment.

A National Survey to Assess the COVID-19 Vaccine-Related Conspiracy Beliefs, Acceptability, Preference, and Willingness to Pay among the General Population of Pakistan.

The current study aims to assess the beliefs of the general public in Pakistan towards conspiracy theories, acceptance, willingness to pay, and preference for the COVID-19 vaccine. A cross-sectional study was conducted through an online self-administered questionnaire during January 2021. The Chi-square test or Fisher exact test was utilized for statistical data analysis. A total of 2158 respondents completed the questionnaire, among them 1192 (55.2%) were male with 23.87 (SD: ±6.23) years as mean age. The conspiracy beliefs circulating regarding the COVID-19 vaccine were believed by 9.3% to 28.4% of the study participants. Among them, 1040 (48.2%) agreed to vaccinate on its availability while 934 (43.3%) reported the Chinese vaccine as their preference. The conspiracy beliefs of the participants were significantly associated with acceptance of the COVID-19 vaccine. The existence of conspiracy beliefs and low vaccine acceptance among the general population is a serious threat to successful COVID-19 vaccination.

Monitoring Mortality Caused by COVID-19 Using Gamma-Distributed Variables Based on Generalized Multiple Dependent State Sampling.

More recently in statistical quality control studies, researchers are paying more attention to quality characteristics having nonnormal distributions. In the present article, a generalized multiple dependent state (GMDS) sampling control chart is proposed based on the transformation of gamma quality characteristics into a normal distribution. The parameters for the proposed control charts are obtained using in-control average run length (ARL) at specified shape parametric values for different specified average run lengths. The out-of-control ARL of the proposed gamma control chart using GMDS sampling is explored using simulation for various shift size changes in scale parameters to study the performance of the control chart. The proposed gamma control chart performs better than the existing multiple dependent state sampling (MDS) based on gamma distribution and traditional Shewhart control charts in terms of average run lengths. A case study with real-life data from ICU intake to death caused by COVID-19 has been incorporated for the realistic handling of the proposed control chart design.