Experiencing COVID-19 Through the Patient Lens to Promote Empathy: Pilot Testing a Virtual Reality Learning Opportunity

Understanding the patient's experience with COVID-19 was essential to providing high-quality, person-centered care during the pandemic. Having empathy or being able to understand and respond to the patient's experience may lead to improved outcomes for both patients and clinicians. There is mixed evidence about how best to teach empathy, particularly related to promoting empathy during COVID-19. Literature suggests that virtual reality may be effective in empathy-related education. In collaboration with four patient partners with lived experience, a 360° VR video was developed reflecting their stories and interactions with the healthcare system. The aim of this study was to pilot test the video with interprofessional healthcare providers (HPs) to explore acceptability and utility, while also seeking input on opportunities for improvement. Eleven HPs reviewed the video and participated in one of three focus groups. Focus group data were analyzed using thematic analysis. Data suggest that video content is acceptable and useful in promoting a better understanding of the patient's experience. Building on these encouraging findings, additional iterations of videos to promote empathy will be developed and tested.

Can Hydrogen Water Enhance Oxygen Saturation in Patients with Chronic Lung Disease? A Non-Randomized, Observational Pilot Study

BACKGROUND

Recently, chronic lung diseases have been found to be associated with marked inflammation and oxidative stress, which leads to fibrosis in the lungs and chronic respiratory failure. This study aims to determine if hydrogen-rich water (HRW) can enhance oxygen saturation among patients with chronic lung diseases.

METHODS

Ten patients with chronic lung diseases due to COPD (n = 7), bronchial asthma (n = 2), and tuberculosis of the lung (n = 1) with oxygen saturation of 90-95% were provided high-concentration (>5 mM) HRW using H2-producing tablets for 4 weeks. Oxygen saturation was measured via oximeter and blood pressure via digital automatic BP recorder.

RESULTS

HRW administration was associated with a significant increase in oxygen saturation (SpO2) and decrease in TBARS, MDA, and diene conjugates, with an increase in vitamin E and nitrite levels, compared to baseline levels. Physical training carried out after HRW therapy appeared to increase exercise tolerance and decrease hypoxia, as well as delay the need for oxygen therapy.

CONCLUSION

Treatment with HRW in patients with hypoxia from chronic lung diseases may decrease oxidative stress and improve oxygen saturation in some patients. HRW therapy may also provide increased exercise tolerance in patients with chronic hypoxia, but further research is needed.

The impact of non-pharmaceutical interventions on the first COVID-19 epidemic wave in South Africa

OBJECTIVE

In this study, we investigated the impact of COVID-19 NPIs in South Africa to understand their effectiveness in the reduction of transmission of COVID-19 in the South African population. This study also investigated the COVID-19 testing, reporting, hospitalised cases, excess deaths and COVID-19 modelling in the first wave of the COVID-19 epidemic in South Africa.

METHODS

A semi-reactive stochastic COVID-19 model, the ARI COVID-19 SEIR model, was used to investigate the impact of NPIs in South Africa to understand their effectiveness in the reduction of COVID-19 transmission in the South African population. COVID-19 testing, reporting, hospitalised cases and excess deaths in the first COVID-19 epidemic wave in South Africa were investigated using regressional analysis and descriptive statistics.

FINDINGS

The general trend in population movement in South African locations shows that the COVID-19 NPIs (National Lockdown Alert Levels 5,4,3,2) were approximately 30% more effective in reducing population movement concerning each increase by 1 Alert Level. The translated reduction in the effective SARS-CoV-2 daily contact number (β) was 6.12% to 36.1% concerning increasing Alert Levels. Due to the implemented NPIs, the effective SARS-CoV-2 daily contact number in the first COVID-19 epidemic wave in South Africa was reduced by 58.1-71.1% while the peak was delayed by 84 days. The estimated COVID-19 reproductive number was between 1.98 to 0.40. During South Africa's first COVID-19 epidemic wave, the mean COVID-19 admission status in South African hospitals was 58.5%, 95% CI [58.1-59.0] in the general ward, 13.4%, 95% CI [13.1-13.7] in the intensive care unit, 13.3%, 95% CI [12.6-14.0] on oxygen, 6.37%, 95% CI [6.23-6.51] in high care, 6.29%, 95% CI [6.02-6.55] on ventilator and 2.13%, 95% CI [1.87-2.43] in isolation ward respectively. The estimated mean South African COVID-19 patient discharge rate was 11.9 days per patient. While the estimated mean of the South African COVID-19 patient case fatality rate (CFR) in hospital and outside the hospital was 2.06%, 95% CI [1.86-2.25] (deaths per admitted patients) and 2.30%, 95% CI [1.12-3.83](deaths per severe and critical cases) respectively. The relatively high coefficient of variance in COVID-19 model outputs observed in this study shows the uncertainty in the accuracy of the reviewed COVID-19 models in predicting the severity of COVID-19. However, the reviewed COVID-19 models were accurate in predicting the progression of the first COVID-19 epidemic wave in South Africa.

CONCLUSION

The results from this study show that the COVID-19 NPI policies implemented by the Government of South Africa played a significant role in the reduction of COVID-19 active, hospitalised cases and deaths in South Africa's first COVID-19 epidemic wave. The results also show the use of COVID-19 modelling to understand the COVID-19 pandemic and the impact of regressor variables in an epidemic.

Balance Disorders in People with History of COVID-19 in Light of Posturographic Tests

Coronavirus disease-19 (COVID-19), resulting from infection with the SARS-CoV-2 virus, causes not only flu-like symptoms, such as fever, aches, or a dry cough, but also affects the sensory system, leading to a loss of smell and taste or to neurological deficits in the shape of balance disorders and dizziness.

PURPOSE OF THE STUDY

Our research aimed to assess the prevalence of balance disorders in patients who had suffered COVID-19.

MATERIAL AND METHODS

The study group consisted of 73 subjects with a history of SARS-CoV-2 infection. The control group consisted of 50 healthy people with similar demographics. A balance analysis was performed on a tensometric platform, using the Romberg test.

RESULTS

Statistically significant differences between the results of the study group and the control group were obtained in the evaluation of the length of body sways and the area of gravity center, both with open and closed eyes, and in the case of maximum body sways with open eyes.

CONCLUSIONS

Patients who have suffered COVID-19 may suffer from balance disorders detectable by posturographic tests.

Comprehensive evaluation of six interventions for hospitalized patients with COVID-19: A propensity score matching study

Purpose

The purpose of this study was to evaluate the effectiveness of either hydroxychloroquine, triple combination therapy (TCT), favipiravir, dexamethasone, remdesivir, or COVID-19 convalescent plasma (CCP) in comparison with standard-of-care for hospitalized patients with COVID-19 using real-world data from Saudi Arabia.

Patients and methods

A secondary database analysis was conducted using the Saudi Ministry of Health database for patients with COVID-19. Adult (≥ 18 years) hospitalized patients with COVID-19 between March 2020 and January 2021 were included in the analysis. A propensity score matching technique was used to establish comparable groups for each therapeutic approach. Lastly, an independent t-test and chi-square test were used to compare the matching groups in the aspects of the duration of hospitalization, length of stay (LOS) in intensive care units (ICU), in-hospital mortality, and composite poor outcome. Multilevel logistic regression model was used to assess the association between the severity stage of COVID-19 and the outcomes while using the medication or intervention used as a grouping variable in the model.

Results

The mean duration of hospitalization was significantly longer for patients who received TCT, favipiravir, dexamethasone, or CCP compared to patients who did not receive these therapies, with a mean difference ranging between 2.2 and 4.9 days for dexamethasone and CCP, respectively. Furthermore, the use of favipiravir or CCP was associated with a longer stay in ICU. Remdesivir was the only agent associated with in-hospital mortality benefit. A higher risk of mortality and poorer composite outcome were associated with the use of favipiravir or dexamethasone. However, the logistic regression model reveled that the difference between the two matched cohorts was due to the severity stage not the medication. Additionally, the use of hydroxychloroquine, TCT, or CCP had no impact on the incidence of in-hospital mortality or composite poor outcomes.

Conclusion

Remdesivir was the only agent associated with in-hospital mortality benefit. The observed worsened treatment outcomes associated with the use of dexamethasone or FPV shall be attributed to the severity stage rather than the medication use. In light of these varied results, additional studies are needed to continue evaluating the actual benefits of these therapies.

Estimating conditional vaccine effectiveness

Vaccine effectiveness for COVID-19 is typically estimated for different outcomes that often are hierarchical in severity (e.g. any documented infection, symptomatic infection, hospitalization, death) and subsets of each other. Conditional effectiveness for a more severe outcome conditional on a less severe outcome is the protection offered against the severe outcome (e.g. death) among those who already sustained the less severe outcome (e.g. documented infection). The concept applies also to the protection offered by previous infection rather than vaccination. Formulas and a nomogram are provided here for calculating conditional effectiveness. Illustrative examples are presented from recent vaccine effectiveness studies, including situations where effectiveness for different outcomes changed at different pace over time. E(death | documented infection) is the percent decrease in the case fatality rate and E(death | infection) is the percent decrease in the infection fatality rate (IFR). Conditional effectiveness depends on many factors and should not be misinterpreted as a causal effect estimate. However, it may be used for better personalized communication of the benefits of vaccination, considering also IFR and epidemic activity in public health decision-making and communication.

Spatial growth rate of emerging SARS-CoV-2 lineages in England, September 2020-December 2021

This paper uses a robust method of spatial epidemiological analysis to assess the spatial growth rate of multiple lineages of SARS-CoV-2 in the local authority areas of England, September 2020-December 2021. Using the genomic surveillance records of the COVID-19 Genomics UK (COG-UK) Consortium, the analysis identifies a substantial (7.6-fold) difference in the average rate of spatial growth of 37 sample lineages, from the slowest (Delta AY.4.3) to the fastest (Omicron BA.1). Spatial growth of the Omicron (B.1.1.529 and BA) variant was found to be 2.81× faster than the Delta (B.1.617.2 and AY) variant and 3.76× faster than the Alpha (B.1.1.7 and Q) variant. In addition to AY.4.2 (a designated variant under investigation, VUI-21OCT-01), three Delta sublineages (AY.43, AY.98 and AY.120) were found to display a statistically faster rate of spatial growth than the parent lineage and would seem to merit further investigation. We suggest that the monitoring of spatial growth rates is a potentially valuable adjunct to outbreak response procedures for emerging SARS-CoV-2 variants in a defined population.

Ethical allocation of COVID-19 vaccine in the United States: an evaluation of competing frameworks for the current pandemic and future events

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, created the need for an effective vaccine. Questions arose about allocating the initial limited supplies in the United States. We present four allocation models and compare their characteristics for ethically meeting the health needs of the population. The literature shares broad agreement on guiding ethical principles with those of the four proposed models for vaccine allocation, featuring the concepts of utilitarianism, prioritarianism, equity, and reciprocity. We conclude that the "Interim Framework for COVID-19 Vaccine Allocation and Distribution in the United States" from the Johns Hopkins Bloomberg School of Public Health is the most comprehensive and ethically sound. We recommend government officials and policymakers at all levels consider the principles and objectives in this model as US COVID-19 vaccination distribution efforts continue. This model may serve as an effective framework for initial vaccine distribution efforts during future epidemic and pandemic events.

Exploring Factors Contributing to the Smoking Behaviour among Hong Kong Chinese Young Smokers during COVID-19 Pandemic: A Qualitative Study

COVID-19 has significant impacts on young smokers in their smoking behaviors. This qualitative study summarises the lived experience of young smokers during COVID-19. Moreover, through their lived experience, we aim to understand how the COVID-19 pandemic influence tobacco use behaviours in this population. A purposive sampling of 48 smokers aged between 17–25 years old is individually interviewed for 30 to 45 min. All interviews are transcribed in verbatim and analysed by two researchers separately using Colaizzi’s method of descriptive phenomenology. The results reveal the following six important themes, which could explain the mixed pattern of smoking behaviour changes in young smokers: (1) perceptions of COVID-19 and its association with smoking, (2) more time at home, (3) taking masks off to smoke, (4) the effects of COVID-19 on smokers’ financial status and academic performance, (5) reduced social gatherings, and (6) restricted access to tobacco products. To conclude, this pandemic and the anti-pandemic measures, i.e., mask mandates, stay-at-home and work-from-home orders, and class suspension, result in both new obstacles and new advantages for smoking cessation among young people. More studies should be performed to monitor any transition of tobacco products and the trajectory of use in this population during this pandemic, thus informing public health policy making.

Enhancing epidemiological surveillance of the emergence of the SARS-CoV-2 Omicron variant using spike gene target failure data, England, 15 November to 31 December 2021

When SARS-CoV-2 Omicron emerged in 2021, S gene target failure enabled differentiation between Omicron and the dominant Delta variant. In England, where S gene target surveillance (SGTS) was already established, this led to rapid identification (within ca 3 days of sample collection) of possible Omicron cases, alongside real-time surveillance and modelling of Omicron growth. SGTS was key to public health action (including case identification and incident management), and we share applied insights on how and when to use SGTS.

Changes to the home food environment and parent feeding practices during the COVID-19 pandemic: A qualitative exploration

The COVID-19 pandemic brought about many changes that potentially altered the home food environment, which has been associated with child eating patterns and dietary intake. There is also some evidence that changes due to the COVID-19 pandemic are associated with health behaviors in children, such as an increased intake of high-calorie snack food. The current study aimed to more deeply understand how the COVID-19 pandemic affected the home food environment of meal and snack time routines and parent feeding practices within families of young children. Data for this study are taken from the Kids EAT! Study, a racially/ethnically diverse cohort of families with 2-5 year old children. Qualitative interviews were conducted by phone and video conference with mothers (n = 25) during August/September 2020 and were coded using a hybrid deductive/inductive analysis approach. This allowed coders to identify themes using the interview questions as an organizational template (deductive) while also allowing unique themes to emerge from the qualitative data (inductive). Three overarching themes emerged with multiple sub-themes: 1) Mothers were more directive in the types of food and amounts of food eaten by children; 2) Mothers had less rules around mealtimes; 3) Mothers had increased meal responsibilities. When faced with a change in a structured schedule and increased stress-such as occurred with the COVID-19 pandemic, parents may benefit from advice on how to manage parent feeding practices, including tips on appropriate limit setting, establishing a schedule and routines, and improving accessibility of healthful snacks. Lessons learned during the COVID-19 pandemic may have relevance to other time periods when families face disruptions to routine and during other times of transition.

A case of COVID-19 Reinfection and Systematic Review of Patterns of Reinfection

We present a case of a middle age Hispanic patient with COVID-19 reinfection. We conducted a systematic review of the literature of reinfection cases and found that women represent the majority of the cases and that reinfection usually presents with more severe disease, particularly among healthcare workers.

Investigating the relationship of computerized examination anxiety with other variables at the university level: A case of health college students in Saudi Arabia

BACKGROUND

In the daily lives of people, the level of anxiety plays a significant role. This applies to students, who experience anxiety when taking examinations referred to as examination anxiety. Majority of the current educational institutions have shifted from a traditional evaluation system to one that is computerized. The present study aim is to identify the computerized examination anxiety (CEA) among college students in the Faculty of Health and to compare the differences among them based on study system and gender.

MATERIALS AND METHODS

The research is a descriptive quantitative design. The research population consists of 138 health college students. CEA scale was used to identify the level of examination anxiety among students. Data were then exposed to analysis, namely the descriptive statistics, independent sample t-test, and Chi-square tests, to obtain the answers to the research questions at the level of <0.05.

RESULTS

Based on the findings, the CEA experienced by the health students was of moderate level. The findings also showed insignificant differences between students' levels of anxiety based on gender and study system at <0.05 value.

CONCLUSION

The study contributed to literature by adding a study related to CEA during COVID-19. The study enumerated implications and recommendations based on the findings.

Severe OCD Exacerbation in a Patient with Autism Spectrum Disorder: A Case Report

Autism Spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social communication and social interaction, repetitive and stereotyped behaviors, and/or sensory aberrations. On the other hand, obsessive-compulsive disorder (OCD) is characterized by the presence of obsessions and/or compulsions. In consideration of these distinct pathologies, research suggests that anxiety disorders and OCD are highly prevalent in individuals with ASD. This case report will discuss an adolescent patient with ASD and OCD who experiences an exacerbation, most notably, in his symptoms of OCD. We outline the hospital course of a 13 year-old male who ultimately requires nasogastric (NG) tube feeding resulting from an acute worsening in symptoms and refusal of oral intake during the COVID-19 pandemic. The patient demonstrated significant improvement in symptoms following the administration of high-dose selective serotonin reuptake inhibitor (SSRI) and low-dose antipsychotic therapy.

The impact of SARS-CoV-2 vaccination in Dravet syndrome: A UK survey

BACKGROUND

The COVID-19 pandemic led to the urgent need for accelerated vaccine development. Approved vaccines have proved to be safe and well tolerated across millions of people in the general population. Dravet syndrome (DS) is a severe, early onset, developmental and epileptic encephalopathy. Vaccination is a precipitating factor for seizures. While there is no evidence that vaccine-precipitated seizures lead to adverse outcomes in people with DS, fear surrounding vaccination can remain for caregivers of people with DS, in some cases resulting in rejection of recommended vaccinations, leaving individuals more vulnerable to the relevant infections. A greater understanding of the safety profile of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination in this vulnerable group will help provide guidance for caregivers and clinicians when considering vaccination.

METHODS

A cross-sectional survey regarding COVID-19 and SARS-CoV-2 vaccine, in people with DS, was conducted by Dravet Syndrome UK (DSUK). Concomitantly, a review of individuals with DS who had recently received the SARS-CoV-2 vaccine, and who are resident at the Chalfont Centre for Epilepsy (CCE), or attend epilepsy clinics at the National Hospital for Neurology and Neurosurgery (NHNN), was undertaken.

RESULTS

Thirty-eight people completed the DSUK survey. Thirty-seven percent of caregivers reported being concerned about someone with DS receiving the SARS-CoV-2 vaccine; with some reporting that they would decline a vaccine when offered. Seventy-seven percent had not received any advice from a healthcare professional about the SARS-CoV-2 vaccination. 18/38 were eligible for SARS-CoV-2 vaccination, of whom nine had received their first vaccine dose. Combining the results of the DSUK survey and the review of individuals monitored at CCE or NHNN, fifteen people with DS had received their first dose of the SARS-CoV-2 vaccine. 11/15 (73%) reported at least one side effect, the most common being fatigue (6/15; 40%) and fever (6/15; 40%). Three individuals (20%) reported an increase in seizure frequency after the first vaccine dose. No increase in seizure frequency or duration was reported after the second dose.

CONCLUSION

Overall, these results suggest that SARS-CoV-2 vaccines are safe and well tolerated in individuals with DS, as they are in most people without DS. In most people with DS, SARS-CoV-2 vaccine does not appear to be associated with an increase in the frequency or duration of seizures, even in those who develop fever post-vaccination. Many caregivers are concerned about a person with DS receiving a SARS-CoV-2 vaccine, with some reporting that they would decline a SARS-CoV-2 vaccine when offered. It is crucial that healthcare professionals are proactive in providing accurate information regarding the risks and benefits of vaccination in this population, given the potential for serious outcomes from infection.

Impact of a National Lockdown on Cycling Injuries

Introduction The Sars-CoV-2 pandemic led to a national lockdown in Ireland from March 12th to June 7th, 2020. The present study aimed to assess the change in the pattern of cycling attendances to an Irish ED during a pandemic. Methods This is a retrospective before-and-after study carried out at a university hospital ED. We compared cycling attendances during Lockdown (LD) (13th March-7th June 2020) with Pre-Lockdown (PLD) (January 1st-March 12th, 2020). Furthermore, we also compared lockdown to an historical control period during the equivalent dates in 2019 (i.e. March 13th-June 7th, 2019) Results There were 151 cycling attendances during LD, 122 in PLD and 164 during the control period. The number of cyclists presenting during "rush hour traffic" in the LD period was 30 (19.9%) versus 42 (34.4%) during PLD (p<0.05) and 51 (31.1%) during the control period (p<0.05). During LD, 8 (5.3%) collisions involved a motor vehicle compared to 26 (21.3%) in PLD (p<0.05) and 43 (26.2%) during the control period (p<0.05). Conclusion Lockdown did not result in increased cycling attendances to this ED. The patients who did sustain a cycling-related injury during lockdown were less likely to have collided with a motor vehicle compared to the control period. The reduction in motor vehicle collisions could be attributed to less traffic congestion and highlights the potential benefits of road-user segregation.

Moral Distress and Perceived Community Views Are Associated with Mental Health Symptoms in Frontline Health Workers during the COVID-19 Pandemic

Background: Sudden changes in clinical practice and the altered ability to care for patients due to the COVID-19 pandemic have been associated with moral distress and mental health concerns in healthcare workers internationally. This study aimed to investigate the severity, prevalence, and predictors of moral distress experienced by Australian healthcare workers during the COVID-19 pandemic. Methods: A nationwide, voluntary, anonymous, single time-point, online survey of self-identified frontline healthcare workers was conducted between 27th August and 23rd October 2020. Participants were recruited through health organisations, professional associations, or colleges, universities, government contacts, and national media. Results: 7846 complete responses were received from nurses (39.4%), doctors (31.1%), allied health staff (16.7%), or other roles (6.7%). Many participants reported moral distress related to resource scarcity (58.3%), wearing PPE (31.7%) limiting their ability to care for patients, exclusion of family going against their values (60.2%), and fear of letting co-workers down if they were infected (55.0%). Many personal and workplace predictors of moral distress were identified, with those working in certain frontline areas, metropolitan locations, and with prior mental health diagnoses at particular risk of distress. Moral distress was associated with increased risk of anxiety, depression, post-traumatic stress disorder, and burnout. Conversely, feeling appreciated by the community protected against these risks in healthcare workers. Conclusions: Safeguarding healthcare workforces during crises is important for both patient safety and workforce longevity. Targeted interventions are required to prevent or minimise moral distress and associated mental health concerns in healthcare workers during COVID-19 and other crises.

Employing telehealth strategies for opioid addiction during COVID-19: implications for social work health care

As the COVID-19 global pandemic continues, more than 40 states have reported increases in opioid-related mortality. The issue of service access and delivery poses a major concern for those struggling with mental illness and substance use disorders in the United States. To ensure the continuity of health care during the pandemic and the co-occurring opioid crisis, the United States continues to adapt its healthcare delivery strategies, which include the introduction of telehealth. Telehealth is a relatively new concept and requires rapid systems changes as well as adjustments from both service providers and recipients. The proper adaptation to the new service delivery method could result in process optimization and improved outcomes for those struggling with opioid dependency. This study aims to bring attention to the opioid crisis that may be overlooked in light of the global pandemic and encourage social workers and other mental health professionals to utilize modern technological advancements to improve service delivery to their clients. This paper offers a literature review with four themes: (1) a retrospect on pain and opioids, (2) current telehealth models and practical strategies, (3) social work roles and functions in telehealth care, and (4) next steps and implications of telehealth for social work as a much-needed health-care delivery tool at the clinical and community social work practice level.

An Update on SARS-CoV-2 Diversity in the United States National Capital Region: Evolution of Novel and Variants of Concern

Background

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants concerning for enhanced transmission, evasion of immune responses, or associated with severe disease have motivated the global increase in genomic surveillance. In the current study, large-scale whole-genome sequencing was performed between November 2020 and the end of March 2021 to provide a phylodynamic analysis of circulating variants over time. In addition, we compared the viral genomic features of March 2020 and March 2021.

Methods

A total of 1600 complete SARS-CoV-2 genomes were analyzed. Genomic analysis was associated with laboratory diagnostic volumes and positivity rates, in addition to an analysis of the association of selected variants of concern/variants of interest with disease severity and outcomes. Our real-time surveillance features a cohort of specimens from patients who tested positive for SARS-CoV-2 after completion of vaccination.

Results

Our data showed genomic diversity over time that was not limited to the spike sequence. A significant increase in the B.1.1.7 lineage (alpha variant) in March 2021 as well as a transient circulation of regional variants that carried both the concerning S: E484K and S: P681H substitutions were noted. Lineage B.1.243 was significantly associated with intensive care unit admission and mortality. Genomes recovered from fully vaccinated individuals represented the predominant lineages circulating at specimen collection time, and people with those infections recovered with no hospitalizations.

Conclusions

Our results emphasize the importance of genomic surveillance coupled with laboratory, clinical, and metadata analysis for a better understanding of the dynamics of viral spread and evolution.

COVID-19: Innovative Antiviral Drugs Required for Long-Term Prevention and Control of Coronavirus Diseases

The COVID-19 pandemic has had global catastrophic effects on financial markets, jobs and peoples' lives. Future prevention/therapy of COVID-19 will rely heavily on vaccine development and attempts to repurpose drugs previously used for other microbial diseases. Little attention, however, has been paid to possible difficulties and delays in producing these drugs. Sometimes, unfortunately, these endeavours have been politicized and if these two approaches founder in any way or resistance subsequently occurs, then the world will be left once again to the mercy of these devastating viral pandemics. This review, therefore, briefly outlines the challenges in the development of vaccines and repurposed antiviral drugs, which will hopefully lead to new treatments for COVID-19. It also concludes, however, that the armoury against COVID-19 urgently needs to be enlarging due to the potential severity and likely future reoccurrence of new emergent viruses. Therefore, serious consideration is given to alternative ways of preventing and controlling these pathogens that have received scant attention from the media in the present pandemic. The development of innovative, broad-spectrum, antiviral drugs from natural products is therefore particularly advocated with the challenges involved by new regulatory and scientific initiatives.

Psychological Factors Affecting Risk Perception of COVID-19: Evidence from Peru and China

COVID-19 has spread around the world, causing a global pandemic, and to date is impacting in various ways in both developed and developing countries. We know that the spread of this virus is through people’s behavior despite the perceived risks. Risk perception plays an important role in decision-making to prevent infection. Using data from the online survey of participants in Peru and China (N = 1594), data were collected between 8 July 31 and August 2020. We found that levels of risk perception are relatively moderate, but higher in Peru compared to China. In both countries, anxiety, threat perception, self-confidence, and sex were found to be significant predictors of risk perception; however, trust in the information received by government and experts was significant only in Peru, whereas self-confidence had a significant negative effect only for China. Risk communication should be implemented through information programs aimed at reducing anxiety and improving self-confidence, taking into consideration gender differences. In addition, the information generated by the government should be based on empirical sources. Finally, the implications for effective risk communication and its impacts on the health field are discussed.

Population surveillance approach to detect and respond to new clusters of COVID-19

Background

To maintain control of the coronavirus disease 2019 (COVID-19) epidemic as lockdowns are lifted, it will be crucial to enhance alternative public health measures. For surveillance, it will be necessary to detect a high proportion of any new cases quickly so that they can be isolated, and people who have been exposed to them traced and quarantined. Here we introduce a mathematical approach that can be used to determine how many samples need to be collected per unit area and unit time to detect new clusters of COVID-19 cases at a stage early enough to control an outbreak.

Methods

We present a sample size determination method that uses a relative weighted approach. Given the contribution of COVID-19 test results from sub-populations to detect the disease at a threshold prevalence level to control the outbreak to 1) determine if the expected number of weekly samples provided from current healthcare-based surveillance for respiratory virus infections may provide a sample size that is already adequate to detect new clusters of COVID-19 and, if not, 2) to determine how many additional weekly samples were needed from volunteer sampling.

Results

In a demonstration of our method at the weekly and Canadian provincial and territorial (P/T) levels, we found that only the more populous P/T have sufficient testing numbers from healthcare visits for respiratory illness to detect COVID-19 at our target prevalence level-assumed to be high enough to identify and control new clusters. Furthermore, detection of COVID-19 is most efficient (fewer samples required) when surveillance focuses on healthcare symptomatic testing demand. In the volunteer populations: the higher the contact rates; the higher the expected prevalence level; and the fewer the samples were needed to detect COVID-19 at a predetermined threshold level.

Conclusion

This study introduces a targeted surveillance strategy, combining both passive and active surveillance samples, to determine how many samples to collect per unit area and unit time to detect new clusters of COVID-19 cases. The goal of this strategy is to allow for early enough detection to control an outbreak.

Non-ABO red cell antibodies and risk of COVID-19

It is not known whether non-ABO antibodies confer any protective effect against SARS-CoV-2 infection or COVID-19 severe illness alone or in conjunction with O blood group. This cohort study included 413 576 persons in Ontario, Canada with known ABO blood group and non-ABO antibody screen status, who subsequently underwent SARS-CoV-2 viral RNA polymerase chain reaction testing between January and November 2020. The risk of SARS-CoV-2 infection or COVID-19 severe illness was not associated with the presence of non-ABO antibodies, even among persons with O blood group.

Predicting the dynamical behavior of COVID-19 epidemic and the effect of control strategies

This paper uses transformed subsystem of ordinary differential equation s e i r s model, with vital dynamics of birth and death rates, and temporary immunity (of infectious individuals or vaccinated susceptible) to evaluate the disease-free D F E X ¯ D F E , and endemic E E X ¯ E E equilibrium points, using the Jacobian matrix eigenvalues λ i of both disease-free equilibrium X ¯ D F E , and endemic equilibrium X ¯ E E for COVID-19 infectious disease to show S, E, I, and R ratios to the population in time-series. In order to obtain the disease-free equilibrium point, globally asymptotically stable ( R 0 ≤ 1 ), the effect of control strategies has been added to the model (in order to decrease transmission rate β , and reinforce susceptible to recovered flow), to determine how much they are effective, in a mass immunization program. The effect of transmission rates β (from S to E) and α (from R to S) varies, and when vaccination effect ρ , is added to the model, disease-free equilibrium X ¯ D F E is globally asymptotically stable, and the endemic equilibrium point X ¯ E E , is locally unstable. The initial conditions for the decrease in transmission rates of β and α , reached the corresponding disease-free equilibrium X ¯ D F E locally unstable, and globally asymptotically stable for endemic equilibrium X ¯ E E . The initial conditions for the decrease in transmission rate s β and α , and increase in ρ , reached the corresponding disease-free equilibrium X ¯ D F E globally asymptotically stable, and locally unstable in endemic equilibrium X ¯ E E .

Guidance for Medical Ethicists to Enhance Social Cooperation to Mitigate the Pandemic

The Covid-19 pandemic has presented major challenges to society, exposing preexisting ethical weaknesses in the modern social fabric’s ability to respond. Distrust in government and a lessened authority of science to determine facts have both been exacerbated by the polarization and disinformation enhanced by social media. These have impaired society’s willingness to comply with and persevere with social distancing, which has been the most powerful initial response to mitigate the pandemic. These preexisting weaknesses also threaten the future acceptance of vaccination and contact tracing, two other tools needed to combat epidemics. Medical ethicists might best help in this situation by promoting truth-telling, encouraging the rational adjudication of facts, providing transparent decision-making and advocating the virtue of cooperation to maximize the common good. Those interventions should be aimed at the social level. The same elements of emphasizing cooperation and beneficence also apply to the design of triage protocols for when resources are overwhelmed. A life-stages approach increases beneficence and reduces harms. Triage should be kept as simple and straightforward as reasonably possible to avoid unwieldly application during a pandemic.

Prediction modelling of COVID using machine learning methods from B-cell dataset

Coronavirus is a pandemic that has become a concern for the whole world. This disease has stepped out to its greatest extent and is expanding day by day. Coronavirus, termed as a worldwide disease, has caused more than 8 lakh deaths worldwide. The foremost cause of the spread of coronavirus is SARS-CoV and SARS-CoV-2, which are part of the coronavirus family. Thus, predicting the patients suffering from such pandemic diseases would help to formulate the difference in inaccurate and infeasible time duration. This paper mainly focuses on the prediction of SARS-CoV and SARS-CoV-2 using the B-cells dataset. The paper also proposes different ensemble learning strategies that came out to be beneficial while making predictions. The predictions are made using various machine learning models. The numerous machine learning models, such as SVM, Naïve Bayes, K-nearest neighbors, AdaBoost, Gradient boosting, XGBoost, Random forest, ensembles, and neural networks are used in predicting and analyzing the dataset. The most accurate result was obtained using the proposed algorithm with 0.919 AUC score and 87.248% validation accuracy for predicting SARS-CoV and 0.923 AUC and 87.7934% validation accuracy for predicting SARS-CoV-2 virus.

Phosphatidylserine is an overlooked mediator of COVID-19 thromboinflammation

A ubiquitous component of cell membrane, phosphatidylserine (PS), is likely to play a major, but as yet unrecognized, role in the thromboinflammation of COVID-19 and other critical illnesses. PS is present in all plasma membranes but is "hidden" on the inner surface by the action of an ATP-requiring enzyme. Failure of PS to be sequestered on the inner surface of cell membranes, release of PS-containing microparticles from cells, or shedding of enveloped viruses allows it to interact with extracellular proteins, including those of the coagulation and complement systems. Detection and quantification of circulating PS is not standardized, and current methodologies have either focused on circulating cellular elements or subcellular plasma components, but not both. PS may also promote thromboinflammation without circulating if expressed on the surface of endothelial cells, a condition that might only be documented if novel imaging techniques are developed. Research into the role of PS in inflammation and coagulation, called here a "procoagulant phospholipidopathy" may provide novel insights and therapeutic approaches for patients with a variety of illnesses.

Based on a Decision Tree Model for Exploring the Risk Factors of Smartphone Addiction Among Children and Adolescents in China During the COVID-19 Pandemic

Background: Smartphone addiction has emerged as a major concern among children and adolescents over the past few decades and may be heightened by the outbreak of COVID-19, posing a threat to their physical and mental health. Then we aimed to develop a decision tree model as a screening tool for unrecognized smartphone addiction by conducting large sample investigation in mainland China. Methods: The data from cross-sectional investigation of smartphone addiction among children and adolescents in mainland China (n = 3,615) was used to build models of smartphone addiction by employing logistic regression, visualized nomogram, and decision tree analysis. Results: Smartphone addiction was found in 849 (23.5%) of the 3,615 respondents. According to the results of logistic regression, nomogram, and decision tree analyses, Internet addiction, hours spend on smartphone during the epidemic, levels of clinical anxiety symptoms, fear of physical injury, and sex were used in predictive model of smartphone addiction among children and adolescents. The C-index of the final adjusted model of logistic regression was 0.804. The classification accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and AUC area of decision tree for detecting smartphone addiction were 87.3, 71.4, 92.1, 73.5, 91.4, and 0.884, respectively. Conclusions: It was found that the incidence of smartphone addiction among children and adolescents is significant during the epidemic. The decision tree model can be used to screen smartphone addiction among them. Findings of the five risk factors will help researchers and parents assess the risk of smartphone addiction quickly and easily.

[Cardiovascular disorders in patients infected with 2019 novel coronavirus]

La COVID-19 est devenue un problème majeur de santé publique dans le monde. Les complications cardiovasculaires sont fréquentes, atteignant 20 % des patients atteints de COVID-19 et 43 % des patients atteints de COVID-19 admis en réanimation. Les mécanismes impliqués dans l’atteinte cardiaque sont multiples : un état d’hyperinflammation, un état procoagulant et prothrombotique, la présence d’une cardiomyopathie liée au sepsis, d’une cardiomyopathie de stress, d’une hypoxie en rapport avec l’atteinte pulmonaire, d’une instabilité hémodynamique, d’un orage cytokinique et d’une atteinte myocardique directe par le SARS-CoV-2. Les auteurs rapportent ici une mise au point concernant les atteintes cardiovasculaires, ainsi que les facteurs de mauvais pronostic, chez les patients atteints par la COVID-19.

A Paradigm Shift in the Delivery of Physical Therapy Services for Children With Disabilities in the Time of the COVID-19 Pandemic

With the COVID pandemic, the delivery of rehabilitation services has been greatly affected across lifespan, especially towards children with disabilities. The significant physical and mental health stressors of prolonged home confinement coupled with discontinuation of rehabilitation services can lead to several long-term concerns among children with disabilities. In light of the current events, our approach towards rehabilitation needs to be re-evaluated and revamped. The point of view highlights the potential ways in which we could continue to provide physical therapy services for children with disabilities. Use of family-centered and home-based models of care can be considered to reach out to children with disabilities using telerehabilitation and digital physical therapy by adopting a modified framework of care. The implications of the point of view may help aid clinician’s world-over to continue providing rehabilitation services to children with disabilities.

The Impact of Covid-19 Experiences and Associated Stress on Anxiety, Depression, and Functional Impairment in American Adults

Background

The COVID-19 pandemic has had a profound impact on health and well-being worldwide and there is increasing recognition of the need to understand the psychological impact of COVID-19 experiences and stress in addition to the physical health consequences.

Methods

The present study examined how experiences related to COVID-19 and associated stress impact, anxiety, depression, and functional impairment in a convenience sample of 565 American adults (57.9% male) recruited through MTURK.

Results

COVID-19 experiences were consistently associated with higher odds of probable anxiety and depression diagnoses (ORs ≥ 3.0). COVID-19 associated stress also predicted large proportions of variance (R² ≥ 30) in anxiety, depression, health anxiety, and functional impairment in latent variable analyses.

Conclusions

These findings highlight that personal experiences related to the diagnosis of COVID-19, mortality in acquaintances, and COVID-19 associated stress is associated with a greatly elevated risk of emotional disorder symptomatology and that the COVID-19 pandemic may result in increased demand for mental health services.

Residents' Perspectives on Graduate Medical Education during the COVID-19 Pandemic and Beyond

This article was migrated. The article was marked as recommended. Graduate medical education (GME) programs are saddled with the dual responsibilities of exceptional healthcare delivery, while ensuring their trainees' specialty-specific competency. The COVID-19 pandemic threatens this dual mission. The scarcity of resources has required redistribution of personnel, including trainees, and limitations on the number of personnel interacting with patients. These changes have lowered specialty specific clinical volume for trainees. GME programs must look for new ways to educate trainees. Failure to do so may lead to a bottleneck within the medical education training pipeline or graduation of less than fully competent physicians. As two GME trainees on the frontlines, we describe the negative impacts of the COVID-19 pandemic on current GME training in the United States. We then propose possible remedies to the problem. To account for lost training, we discuss potential solutions for filling gaps in training and, simultaneously, urge a coordinated effort among leaders in GME to use the pandemic to catalyze a revolution that will improving training now and in the future.