Incidence of diabetic ketoacidosis during COVID-19 pandemic: a meta-analysis of 124,597 children with diabetes.

BACKGROUND: Diabetic ketoacidosis (DKA) is a potentially life-threatening complication of type 1 diabetes mellitus (T1DM) that has increased during the COVID-19 pandemic. This study will not only shed light on such life-threatening complications but also be a step to increase the awareness of healthcare providers about such complications in the upcoming pandemic waves and increased dependence on telemedicine. Thus, we aimed to further investigate the increase of DKA in pediatrics. METHODS: PubMed, Web of Science, and Scopus were broadly searched for studies assessing the incidence of DKA in pediatrics during the COVID-19 pandemic. RESULTS: Our study included 24 papers with a total of 124,597 children with diabetes. A statistically significant increase occurred in the risk of DKA among newly diagnosed T1DM patients during the pandemic (RR 1.41; 95% CI 1.19, 1.67; p < 0.01; I2 = 86%), especially in the severe form of DKA (RR 1.66: 95% CI 1.3, 2.11) when compared to before. CONCLUSION: DKA in newly diagnosed children with T1DM has increased during the pandemic and presented with a severe form. This may reflect that COVID-19 may have contributed not only to the development but also the severity of DKA. IMPACT: Diabetic ketoacidosis (DKA) is a life-threatening complication of type 1 diabetes mellitus (T1DM) that has increased during the COVID-19 pandemic. Our study included 25 papers with a total of 124,597 children with diabetes. A statistically significant increase occurred in the risk of DKA among newly diagnosed T1DM patients during the pandemic. Our findings reflect that COVID-19 may have an altered presentation in T1DM and can be related to DKA severity.

A call to ban the sale of tobacco products

Tobacco is both toxic and addictive. Mounting evidence shows that tobacco use has a detrimental impact on almost every aspect of human health, causing or worsening deadly public health crises from the cancer epidemic to the COVID-19 pandemic. However, while tobacco use is a threat to both personal and public health, it continues to surge across the world, especially in China and other low- and middle-income countries. To this end, this article argues in favor of using a ban on the sale of all tobacco products as a practical solution to the global tobacco use epidemic. It is our hope that insights provided by our work will inspire swift policy actions in countries such as China and beyond to curb the tide of rising tobacco consumption, so that populations around the world could be better shielded from the pervasive and long-lasting damage that tobacco products cause or compound.

Efficient, accurate and fast pupil segmentation for pupillary boundary in iris recognition

Iris recognition is a robust biometric system—user-friendly, accurate, fast, and reliable. This biometric system captures information in a contactless manner, making it suitable for use during the COVID-19 pandemic. Despite its advantages such as high security and high accuracy, iris recognition still suffers from pupil deformation, motion blur, eyelids blocking, reflection occlusion and eyelashes obscure. If the pupillary boundary is not accurately segmented, iris recognition may suffer tremendously. Moreover, reflections in iris image may lead to an incorrect pupillary boundary segmentation. The segmentation accuracy can also be affected and reduced because of the presence of an unwanted noise created by the motion blur effect in iris image. Additionally, the pupillary boundary might change from circular shape to uneven or irregular shape because of the interference and obstruction in pupil region. Therefore, this work is carried out to determine an accurate, efficient and fast algorithm for the segmentation of pupillary boundary. First, the iris image is pre-processed with Wiener filter. Next, the respective iris image is assigned with a specific threshold. After that, the pixel property in iris image is computed to determine the pupillary boundary coordinates which are acquired from the measured pixel list and area in iris image. Finally, morphological closing is used to remove reflections in the inner region of pupil boundary. All experiments are implemented with CASIA v4 database and Matlab R2020a.

A Review of the Fabrication Methods, Testing, and Performance of Face Masks

Improvement in the performance and compatibility of face masks has remained the focus of researchers in recent years, especially after the emergence of the COVID pandemic. Although a lot of progress in the design, tolerability, and comfort of the mask has been reported, there are certain limitations, requiring further improvement. The present review aims to highlight the filtration efficacy, comfort, and associated characteristic of various types of face masks and respirators as a function of their design and structure. In addition, the air pollutants, their adverse effects on health, certified respirators, and face masks are also discussed. The present review also provides an insight into different types of commercially available face masks in terms of their materials, filtration efficiency, and limitations. The role of emerging trends (such as nanotechnology and high-performance polymers) in the improvement and development of face masks and respirators is also discussed.

Development of gold nanoparticle-based biosensors for COVID-19 diagnosis.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative organism of coronavirus disease 2019 (COVID-19) which poses a significant threat to public health worldwide. Though there are certain recommended drugs that can cure COVID-19, their therapeutic efficacy is limited. Therefore, the early and rapid detection without compromising the test accuracy is necessary in order to provide an appropriate treatment for the disease suppression. Main body: Nanoparticles (NPs) can closely mimic the virus and interact strongly with its proteins due to their morphological similarities. NPs have been widely applied in a variety of medical applications, including biosensing, drug delivery, antimicrobial treatment, and imaging. Recently, NPs-based biosensors have attracted great interest for their biological activities and specific sensing properties, which allows the detection of analytes such as nucleic acids (DNA or RNA), aptamers, and proteins in clinical samples. Further, the advances of nanotechnologies have enabled the development of miniaturized detection systems for point-of-care biosensors, a new strategy for detecting human viral diseases. Among the various NPs, the specific physicochemical properties of gold NPs (AuNPs) are being widely used in the field of clinical diagnostics. As a result, several AuNP-based colorimetric detection methods have been developed. Short conclusion: The purpose of this review is to provide an overview of the development of AuNPs-based biosensors by virtue of its powerful characteristics as a signal amplifier or enhancer that target pathogenic RNA viruses that provide a reliable and effective strategy for detecting of the existing or newly emerging SARS-CoV-2.

COVID-19 related stigma among the general population in Iran.

BACKGROUND: COVID-19 related stigma has been identified as a critical issue since the beginning of the pandemic. We developed a valid and reliable questionnaire to measure COVID-19 related enacted stigma, inflicted by the non-infected general population. We applied the questionnaire to measure COVID-19 related enacted stigma among Tehran citizens from 27 to 30 September 2020. METHODS: A preliminary questionnaire with 18 items was developed. The total score ranged from 18 to 54; a higher score indicated a higher level of COVID-19 related stigma. An expert panel assessed the face and content validity. Of 1637 randomly recruited Tehran citizens without a history of COVID-19 infection, 1064 participants consented and were interviewed by trained interviewers by phone. RESULTS: Item content validity index (I-CVI), Item content validity ratio (I-CVR), and Item face validity index (I-FVI) were higher than 0.78 for all 18 items. The content and face validity were established with a scale content validity index (S-CVI) of 0.90 and a scale face validity index (S-CVI) of 93.9%, respectively. Internal consistency of the questionnaire with 18 items was confirmed with Cronbach's alpha of 0.625. Exploratory factor analysis revealed five latent variables, including "blaming", "social discrimination", "dishonor label", "interpersonal contact", and "retribution and requital attitude". The median of the stigma score was 24 [25th percentile: 22, 75the percentile: 28]. A large majority (86.8%) of participants reported a low level of stigma with a score below 31. None of the participants showed a high level of stigma with a score above 43. We found that the higher the educational level the lower the participant's stigma score. CONCLUSION: We found a low level of stigmatizing thoughts and behavior among the non-infected general population in Tehran, which may be due to the social desirability effect, to the widespread nature of COVID-19, or to the adaptation to sociocultural diversity of the large city.

Identity Leadership, Employee Burnout and the Mediating Role of Team Identification: Evidence from the Global Identity Leadership Development Project.

Do leaders who build a sense of shared social identity in their teams thereby protect them from the adverse effects of workplace stress? This is a question that the present paper explores by testing the hypothesis that identity leadership contributes to stronger team identification among employees and, through this, is associated with reduced burnout. We tested this model with unique datasets from the Global Identity Leadership Development (GILD) project with participants from all inhabited continents. We compared two datasets from 2016/2017 (n = 5290; 20 countries) and 2020/2021 (n = 7294; 28 countries) and found very similar levels of identity leadership, team identification and burnout across the five years. An inspection of the 2020/2021 data at the onset of and later in the COVID-19 pandemic showed stable identity leadership levels and slightly higher levels of both burnout and team identification. Supporting our hypotheses, we found almost identical indirect effects (2016/2017, b = -0.132; 2020/2021, b = -0.133) across the five-year span in both datasets. Using a subset of n = 111 German participants surveyed over two waves, we found the indirect effect confirmed over time with identity leadership (at T1) predicting team identification and, in turn, burnout, three months later. Finally, we explored whether there could be a "too-much-of-a-good-thing" effect for identity leadership. Speaking against this, we found a u-shaped quadratic effect whereby ratings of identity leadership at the upper end of the distribution were related to even stronger team identification and a stronger indirect effect on reduced burnout.

Attitude towards Covid-19 Vaccine: A Cross-Sectional Urban and Rural Community Survey in Punjab, Pakistan.

The study's objective was to ascertain the general public's attitudes regarding the covid-19 vaccine in Pakistan. A cross sectional design and e-survey was conducted by 1647 general public. The sample was divided into two sections: urban (702) and rural (945). The majority of participants were between the ages of 18 and 45. The urban participants believe it is safe. Those who live in large cities and have a college degree or above have a positive attitude towards vaccines and do not find any religious reason not to be vaccinated. Individuals from rural areas seem to be skeptical of getting vaccines and they refuse to receive them. Individuals with little education, little information, and a low annual income express a strong mistrust of the vaccine's benefits.

SARS-CoV-2: Insight in genome structure, pathogenesis and viral receptor binding analysis - An updated review.

The novel coronavirus disease (COVID-19) a global pandemic outbreak is an emerging new virus accountable for respiratory illness caused by SARS-CoV-2, originated in Wuhan city, Hubei province China, urgently calls to adopt prevention and intervention strategies. Several viral epidemics such as severe acute respiratory syndrome coronavirus (SARS-CoV) in 2002 to 2003 and H1N1 influenza in 2009 were reported since last two decades. Moreover, the Saudi Arabia was the epicenter for Middle East respiratory syndrome coronavirus (MERS-CoV) in 2012. The CoVs are large family with single-stranded RNA viruses (+ssRNA). Genome sequence of 2019-nCoV, shows relatively different homology from other coronavirus subtypes, categorized in betacoronavirus and possibly found from strain of bats. The COVID-19 composed of exposed densely glycosylated spike protein (S) determines virus binding and infiltrate into host cells as well as initiate protective host immune response. Recently published reviews on the emerging SARS-CoV-2 have mainly focused on its structure, development of the outbreak, relevant precautions and management trials. Currently, there is an urgency of pharmacological intervention to combat this deadly infectious disease. Elucidation of molecular mechanism of COVID-19 becomes necessary. Based on the current literature and understanding, the aim of this review is to provide current genome structure, etiology, clinical prognosis as well as to explore the viral receptor binding together functional insight of SARS-CoV-2 infection (COVID-19) with treatment and preventive measures.

COVID-19 Outbreak On Environment: Profile Of Islamic University Students In Hots-Aep-COVID-19 And Peb-COVID-19

COVID-19 harms the implementation of learning at various levels, including at Islamic universities. Students at Islamic universities must use e-learning for several months until the COVID-19 outbreak ends. Students are also required to have Higher-Order Thinking Skills (HOTS) to solve problems. They are also required to have Pro-Environmental Behavior (PEB) related to COVID-19. Previous research has developed a Higher-Order Thinking Skills Assessment based on Environmental Problem (HOTS-AEP). The purpose of this research was to describe an implementation of e-learning, HOTS, and PEB on students during the COVID-19 outbreak. The method used was descriptive through the survey technique. This research was conducted in March 2020. The instruments used were questionnaires on e-learning and HOTS-AEP related to COVID-19 (HOTS-AEP-COVID-19). Meanwhile, to measure PEB, PEB-COVID-19 was used. All instruments were constructed using Google Form and were distributed to 137 respondents via social media. The results showed that the implementation of e-learning was generally effective (27.74%) and quite effective (43.07%) even though some problems were encountered. Other results showed that students’ HOTS were in the poor category (26.20) while the PEB was in the excellent category (84.82). it can be concluded that e-learning during the COVID-19 outbreak has gone well although some innovations are needed. Besides that, HOTS needs to be improved while PEB needs to be maintained.

Community Behavioral and Perceived Responses in the COVID-19 Outbreak in Afghanistan: A Cross-Sectional Study.

OBJECTIVE: Community responses are important for the management of early-phase outbreaks of coronavirus disease 2019 (COVID-19). Perceived susceptibility and severity are considered key elements that motivate people to adopt nonpharmaceutical interventions. This study aimed to (i) explore perceived susceptibility and severity of the COVID-19 pandemic, (ii) examine the practice of nonpharmaceutical interventions, and (iii) assess the potential association of perceived COVID-19 susceptibility and severity with the practice of nonpharmaceutical interventions among people living in Afghanistan. METHODS: A cross-sectional design was used, using online surveys disseminated from April to May 2020. Convenience sampling was used to recruit the participants of this study. The previously developed scales were used to assess the participants' demographic information, perceived risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and perceived severity of COVID-19. Multivariate analyses were conducted to assess the potential association of perceived COVID-19 susceptibility and severity with the practice of nonpharmaceutical interventions. RESULTS: The Internet was the main source for obtaining COVID-19 information among participants in this study. While 45.8% of the participants believed it was "very unlikely" for them to get infected with COVID-19, 76.7% perceived COVID-19 as a severe disease. Similarly, 37.5% believed the chance of being cured if infected with COVID-19 is "unlikely/very unlikely." The majority of participants (95.6%) perceived their health to be in "good" and "very good" status. Overall, 74.2% mentioned that they stopped visiting public places, 49.7% started using gloves, and 70.4% started wearing a mask. Participants who believed they have a low probability of survival if infected with COVID-19 were more likely to wear masks and practice hand washing. CONCLUSIONS: It appears that communities' psychological and behavioral responses were affected by the early phase of the COVID-19 pandemic in Afghanistan, especially among young Internet users. The findings gained from a timely behavioral assessment of the community might be useful to develop interventions and risk communication strategies in epidemics within and beyond COVID-19.

An Exploratory Study of Police Officers' Perceptions of Health Risk, Work Stress, and Psychological Distress During the COVID-19 Outbreak in China.

BACKGROUND: How do the police officers perceive health risk, psychological distress, and work stress during the COVID-19 outbreak in China? This study explores the health risk perception, work stress, and psychological distress of police officers who worked at the front line to implement lockdown measures. MATERIALS AND METHODS: We conducted a large-scale field survey (N = 5,611) with police officers sample in the northwestern part of China from February 29 to March 7, 2020. Independent-sample T-test and ANOVA were used to analyze whether there are differences in health risk perception, work stress, and psychological distress between different groups. The regression analysis was employed to figure out the factors that influence police officers' psychological distress. RESULTS: Results showed a gender difference in perceiving work stress among police officers. Also, police officers with chronic disease perceived higher health risks, more psychological distress, and higher work stress. Additionally, police officers above 45 years old significantly perceived higher health risks than young officers did. It also revealed that working hours contribute to police officers' health risk perception, psychological distress, and work stress. Finally, our results highlight that age, working hours, chronic disease, health risk perception, and work stress significantly contribute to police officers' psychological distress. CONCLUSION: Our research verifies that there is a gender difference in perceiving work stress among police officers. Police officers with ongoing medical issues and above 45 years old suffer more during the COVID-19 outbreak in China. Our research suggests that the government should pay more attention to their physical health and mental health. The heavy workload containing the COVID-19 extends police officers' working hours, causing higher health risks, work stress, and psychological distress. This study contributes to the psychological distress literature and provides a way forward to other countries struggling to contain the COVID-19.

A new proactive virtual resource center navigation model identifies patient risk factors to reduce barriers to cancer care during the COVID-19 pandemic.

PURPOSE: The COVID-19 pandemic has exacerbated cancer treatment disparities, including accessibility to resources. We describe the process and outcomes of a new proactive, virtual nurse-led, resource center navigation model enhanced by using volunteer patient navigators. Using known patient risk factors, this model provides interventions to reduce barriers to care, with an emphasis on non-English-speaking populations. METHODS: Patients were included if they (1) were in active cancer treatment and (2) had one or more known risk factors: distance from cancer hospital, needing complex care, 65 years or older, malignant hematological diagnosis, new treatment start, lives alone, non-English speaker, or a new hospital discharge. Nurse navigators triaged referrals to appropriate team members who identified and addressed barriers to care. RESULTS: The program engaged with 586 adult cancer patients over 1459 encounters. The most common risk factors included distance (59.7%), complex care (48.8%), and new treatment start (43.5%). The most common interventions were core education (69.4%), emotional support (61.2%), and education (35.7%). Statistical differences were found between Spanish-speaking (n = 118) and non-Spanish-speaking patients (n = 468). While Spanish-speaking patients had fewer risk factors (1.95 vs. 2.80, p ≤ .0001), they had nearly double the number of visits (4.27 vs. 2.04, p ≤ .0001) and 69% more interventions (8.26 vs. 4.90, p ≤ .0001). Many patients (42.7%) required follow-up visits. CONCLUSION: We successfully established a new navigation model for the resource center during the pandemic that identified and reduced barriers to care, particularly in the Spanish-speaking population.

Evaluation of COVID-19 Disease Awareness and Its Relation to Mental Health, Dietary Habits, and Physical Activity: A Cross-Sectional Study from Pakistan.

Coronavirus infection (COVID-19) has significantly increased the mortality and morbidity rates worldwide. The present study was conducted to assess the general public's awareness of COVID-19 and its association with mental health, dietary habits, and physical activity. A web-based survey was conducted to gather information about demographics, knowledge about COVID-19, dietary habits, mental health, and anthropometry among the general public of Pakistan. Descriptive statistics, chi-square test, and multiple logistic regression were used for data analysis. The majority of the participants were suffering from anxiety (71.0%) and depression (52.0%) during the COVID-19 pandemic; 32.4% of participants had poor COVID-19-related knowledge. COVID-19 lockdown reduced the physical activity of 66.9% of participants and increased weight of 38.8% of the survey participants. Demographic variables, including age, gender, ethnicity, education, employment, family type, and geographical location, were significantly associated with knowledge about COVID-19 (P < 0.05). Depression was inversely associated with COVID-19 knowledge (P < 0.05). Healthy changes in dietary habits including decreased consumption of fast foods, soft and cola drinks, fruit drinks, cooked meat (outside the home), sugar, and fats, and were associated with increased knowledge of COVID-19. Vitamin C and immunity-boosting supplement consumption were significantly associated with increased knowledge regarding COVID-19 (< 0.05). Inadequate knowledge about COVID-19 and the presence of anxiety and depression were found among most of the study participants. There is a need to conduct educational seminars to limit the health consequences resulting from COVID-19 lockdown.

A novel perspective approach to explore pros and cons of face mask in prevention the spread of SARS-CoV-2 and other pathogens.

Corona virus disease 2019 (COVID-19) outbreak has become a severe community health threat across the world. Covid-19 is a major illness, presently there is no as such any medicine and vaccine those can claim for complete treatment. It is spreading particularly in a feeble immune people and casualties are expanding abruptly and put the health system under strain. Among the strategic measures face mask is one of the most used measures to prevent spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Wearing a face mask possibly create a false sense of security lead to decline others measures. Face mask could be risk for the people of under lying medical conditions, old age group, outdoor exercise, acute and chronic respiratory disorders and feeble innate immune. Restrictive airflow due to face mask is the main cause of retention of CO2 called hypercapnia that can lead to respiratory failure with symptoms of tachycardia, flushed skin, dizziness, papilledema, seizure and depression. According to latest updates face shield and social distancing could be better substitute of face mask.

Therapeutic efficacy of Honey and Nigella sativa against COVID-19: A multi-center randomized controlled clinical trial (HNS-COVID-PK) (preprint)

BACKGROUND: COVID-19 has caused havoc across the globe since, no specific treatment exists for this disease, thus, far. Hence, there is an urgent need to find an effective treatment to mitigate this scourge. Honey and Nigella sativa are two natural substances with anti-inflammatory, anti-viral, anti-microbial and immune modulating properties. They could be potentially beneficial in these patients. METHODS: We conducted an add-on, randomized, open label, placebo-controlled clinical trial using parallel group design. This was a multi-centered study with superiority framework conducted in RT-PCR confirmed COVID-19 patients showing moderate or severe disease. All patients receiving standard care were randomized into treatment and control groups. In the treatment arm, patients received HNS (honey plus Nigella sativa) in predefined doses for up to 13 days. The primary outcome measures (time taken for alleviation of symptoms, viral clearance and clinical status improvement on day 6) outcomes were assessed. RESULTS: Of 1046 patients testing positive for the SARS-CoV-2, 210 showing moderate and 103 showing severe disease were randomized into treatment and control groups as per inclusion criteria. In the moderate cases, 107 were assigned to the HNS group and 103 to the control group. Among 103 severe cases, 50 were assigned to the HNS group and 53 to the control group. In the moderate and severe cases, the HNS treatment was associated with a normalized median symptoms alleviation time reduction of 3 and 7 days (HR: 6.11; 95% CI: 4.23-8.84 and HR: 4.04; 95% CI, 2.46-6.64) respectively. The HNS treatment in both groups were further associated with 4 days earlier reduction in median viral clearance time (Moderate HR: 5.53; 95% CI: 3.76-8.14) and Severe HR: 4.32; 95% CI: 2.62-7.13). Moreover, in the intention-to-treat analysis, the HNS groups led to a lower (better) clinical score on day 6 with resumption of normal activity among 63.6% of the moderate (OR: 0.07; 95% CI: 0.03-0.13) and 28% of severe cases (OR: 0.03; 95% CI: 0.01-0.09). Furthermore, a significant (14.87%) reduction (OR: 0.18; 95% CI: 0.02-0.92) in mortality was observed in the HNS arm. No difference in adverse effects were seen between the HNS and control arms. CONCLUSIONS: A significant reduction in in the severity of disease, the time taken for viral clearance and mortality was observed with HNS treatment in COVID-19 patients. HNS represents a safe, effective, over the counter and affordable therapy for this pandemic essentially lowering health care burden. It can be used alone or in combination with other expensive treatments and give an additive effect. Hence, the potential of HNS against COVID-19 should be explored in future larger studies. (Funded by Smile Welfare Organization, Shaikh Zayed Medical Complex and Services Institute of Medical Sciences; NIH Clinical Trial Register number: NCT04347382.)

Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?

As the COVID-19 pandemic expands, the shortening of medical equipment is swelling. A key piece of equipment getting far-out attention has been ventilators. The difference between supply and demand is substantial to be handled with normal production techniques, especially under social distancing measures in place. The study explores the rationale of human-robot teams to ramp up production using advantages of both the ease of integration and maintaining social distancing. The paper presents a model for faster integration of collaborative robots and design guidelines for workstations. The scenario is evaluated for an open source ventilator through continuous human-robot simulation and amplification of results in a discrete event simulation.

Repurposing factories with robotics in the face of COVID-19.

Can collaborative robots ramp up the production of medical ventilators?