V-CarE: A Conceptual Design Model for Providing (COVID-19) Pandemic Awareness - a Proposal for Virtual Reality Design Approach to Facilitate People with Persistent Postural-Perceptual Dizziness.

UNSTRUCTURED: Introduction: Virtual Reality (VR) technology has been solidifying its ground since its existence where engagement and a sense of presence are key. The contemporary field of development has captured the attention of researchers due to its flexibility and compatibility attributes. During the (COVID-19) pandemic, several research outputs have shown promising prospects of continuing research in the field of VR design and development - in health sciences including learning and training. Background: In this paper, we aim to propose a conceptual development model named V-CarE (Virtual Care Experience) that can facilitate the understanding of pandemics when it comes to a crisis, taking precautionary measures where needed, and getting used to certain actions for pandemic spread prevention through habituation. Moreover, this conceptual model is useful to expand the development strategy to incorporate different types of users and technological aid as per need and requirement. Method: For a detailed understanding of the proposed model, we have developed a novel design strategy to bring awareness to the user about the current COVID-19 pandemic. VR research in health sciences has shown that with appropriate Management and development, VR technology can efficiently support people with health issues and special needs, which motivated our attempts to explore the possibility of employing our proposed model to treat Persistent Postural-Perceptual Dizziness (PPPD) - a persistent non-vertiginous dizziness that could last for three months or more. The purpose of including PPPD patients is to get them engaged in the learning experience and to make them comfortable with VR. We believe this confidence and habituation would help them get engaged with VR for treatment (dizziness alleviation) while practising the preventive measures during the pandemic in an interactive environment without actually facing any pandemic directly. Subsequently, for advanced development using the V-CarE model, we have briefly discussed that even contemporary technology like IoT for handling devices, can be incorporated without disrupting the complete 3D immersive experience. Results: In our discussion, we have shown that the proposed model represents a significant step towards the accessibility of VR technology by creating a pathway towards awareness of pandemics and effective care for PPPD people. Also, by introducing advanced technology we will only further enhance the development for wider accessibility of the VR technology keeping the core purpose of the development intact. Conclusion: V-CarE-based developed VR projects are designed with all the core elements of health sciences, technology and training making it accessible and engaging for the users and improving their lifestyle by safely experiencing the unknown. We suggest that with further design-based research, the proposed V-CarE model has the potential to be a valuable tool connecting different fields to wider communities.

Effect of COVID-19 on cardiac electrophysiology practice: a systematic review of literature.

The authors conducted a systematic review on the effect of coronavirus disease 2019 on electrophysiology (EP) practice and procedure volume in various settings. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. PubMed/MEDLINE, Scopus, Web of Science, CINAHL, and Embase were examined with combinations of medical subject headings terms for identification of the relevant studies. After excluding duplicates, irrelevant, and ineligible studies, 23 studies were included for full qualitative analysis. The overall study-level volume reduction of EP procedures ranged from 8 to 96.7%. All studies reported an overall reduction in EP physiology procedures being carried out except one in Poland, which reported an overall increase in the total EP procedures carried out in 2020. This study still reported a decrease in EP procedure volume during the first lockdown phase. Procedural volume reduction was seen most commonly for cardiovascular implantable electronic device placement (20/23 studies, 86.9%), electrophysiology studies (11/23 studies, 47.8%), and ablations (9/23, 39.1% studies). The most common reason stated for the observed decline in EP procedures was the cancellation and postponement of nonurgent elective cases in the hospitals (15/23 studies, 65.2%). There has been an overall reduction in EP procedure volume across different centers. The impact of the decline in EP procedures will be seen only after the services resume to prepandemic levels, but an increase in-patient volume and procedure waiting time is expected. This review will provide insights into improving healthcare service delivery in times of unprecedented public health emergencies.

A Rare Case of Paxlovid-Induced Pancreatitis.

Acute pancreatitis can result secondary to an inflammatory cascade due to an insult to the pancreatic parenchyma, whether it be from infections, medications, etc. We present a case of a 37-year-old male with acute pancreatitis after being started on Paxlovid, a combination drug containing Nirmatrelvir and Ritonavir, for COVID-19 treatment. Multiple reports in the literature have documented such an association between acute pancreatitis and the protease inhibitor Ritonavir. We suspect that similar results may have taken place that link the initiation of this medication with pancreatic inflammation.

Dental age estimation using the Kvaal method-an evaluation of length and width ratios: a systematic review.

This study aimed to systematically review the correlational accuracy between width ratios and length ratios based on the Kvaal methodology with chronological age. This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). The search strategy included ProQuest, PubMed, Science Direct, and Taylor and Francis and Willey online without time or language restriction using Kvaal method of age estimation as key words for the search up to December 2021. A team of two researchers independently selected the studies and extracted the data. The Covidence platform was used to systematically organize all titles. The full texts of eligible studies were analyzed. Risk of bias (RoB) was assessed using a modified (to the specific characteristics of this systematic review) checklist based on Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement checklist for observational studies. A total of 658 articles were initially reviewed, but 22 were selected for inclusion. The risk of bias was estimated to be unclear to low overall. Among the length ratios, ratio R showed a strong association with chronological age, followed by ratio P. For the width ratios, ratio B demonstrated a close association with chronological age, followed by ratio C. The results suggest that width ratios correlate better with chronological age than length ratios. This systematic review suggests the width ratios are more strongly associated with chronological age than the length ratios. Using a width ratio could serve as a convenient and rapid way to estimate dental age. Our results apply equally to all types of ethnic groups.

Level of Trust in Health Care Systems During COVID-19 Pandemic Among Health Care Workers of Pakistan.

This survey aimed to evaluate the levels of trust and satisfaction among healthcare workers towards the national healthcare delivery system and whether it has been affected by the global disruption created by COVID-19. This was an analytical cross-sectional study that took place from January to October 2021 at a tertiary level health care facility in Rawalpindi, Pakistan, using an online data collection tool. Our sample included 10, 133 healthcare workers of all cadres. Our study found a significant level of distrust of healthcare workers towards multiple aspects of the healthcare delivery system, particularly towards government agencies and other members of healthcare delivery. We noted a significant gender disparity between male and female respondents with males showing more trust than female healthcare workers. We conclude that significant efforts need to be made by policymakers in the government to alleviate this trust deficit before it worsens.

Vaccine Acceptance and Hesitancy among Hospitalized COVID-19 Patients in Punjab, Pakistan.

Vaccine hesitancy is widespread in many parts of the globe, particularly in low-middle-income countries. Therefore, we surveyed a sample of hospitalized COVID-19 patients to assess COVID-19 vaccine acceptance and vaccine hesitancy in a low-middle-income country. A cross-sectional sample of 385 confirmed reverse transcriptase-polymerase chain reaction COVID-19 patients treated at secondary and tertiary care hospitals in Punjab, Pakistan, were analyzed to assess COVID-19 vaccine uptake and vaccine hesitancy. The construct validity and reliability of the 11-item vaccine hesitancy questionnaire were also examined. In addition, multivariate logistic regression was used. The majority of the COVID-19 patients admitted to hospitals were not vaccinated (84%). Of those who were willing to receive vaccination, the majority (55%) considered vaccines an effective way to protect people from COVID-19. However, those who were not willing to receive their COVID-19 vaccine had significantly higher hesitancy than those willing to receive their COVID-19 vaccine. In addition, older hospitalized COVID-19 patients aged 60 years or above (20-29 years: OR 0.10; 95% CI 0.01-0.72, p = 0.001) and patients from urban areas (OR 3.16 95% CI 1.27-7.87, p = 0.013) were more likely to receive the COVID-19 vaccine than younger patients and patients from rural areas. Patients with no formal education had significantly higher hesitancy (OR 5.26; 96% CI 1.85-14.97, p = 0.002) than participants with graduation and above education. More than half of the study's participants did not trust information shared on social media about COVID-19 vaccines and cited newspapers/news channels as their main source of information. The study provides important insights into COVID-19 vaccine acceptance and the impact of vaccination campaigns. Many unvaccinated COVID-19 patients in hospitals highlight the need for an effective vaccination drive to protect people from acquiring infection and subsequent hospitalization.

How Daily Obstacles Affect Frontline Healthcare Professionals' Mental Health during Omicron: A Daily Diary Study of Handwashing Behavior.

Based on coping theory, the current research examines how and why COVID-19 phobia affects frontline healthcare professionals' mental health, as well as their burnout and work-related stress. We focused on the mediating role of burnout and work-related stress in this study. In the current study, we also examined the moderating influence of healthcare professionals' handwashing behavior using the Hayes Process model. We employed a daily diary approach to collect data from respondents in Pakistan's frontline healthcare professionals (n = 79, 79 × 10 = 790) who were directly treating COVID-19 patients during the omicron wave. According to the findings of the study, COVID-19 phobia significantly disturbs healthcare professionals' mental health, as well as significantly strengthens burnout and work-related stress. The findings also demonstrated that burnout significantly negatively influences mental health. The mediation influence of burnout and work-related stress in the association between COVID-19 phobia and mental health has shown to be significant. The moderation analysis revealed that high handwashing behavior significantly buffers the negative impact of COVID-19 phobia, as well as the adverse effect of burnout on healthcare professionals' mental health. Moreover, our findings have theoretical and managerial implications, as well as new research directions for scholars to understand the adverse impact of daily obstacles on professionals' (nurses and doctors, etc.) mental health and work performance, as well as issues based on resource conversation philosophy.

Investigating The Role of Inflammatory Markers at Admission in Defining the Severity of Moderate-to-Critical COVID-19: A Cross-Sectional Analysis.

Background and aims: The spectrum of Coronavirus disease-2019 (COVID-19) has been clinically defined from asymptomatic carriers to critical illness. Different inflammatory markers have been used to account for the severity and outcomes of this disease in different settings. Our study aims to investigate the role of these inflammatory markers in defining COVID-19 severity. Methods: This cross-sectional study included 200 confirmed cases of COVID-19. Inflammatory markers including lymphocyte count, D-Dimers, Ferritin, CRP, LDH were noted at admission. The moderate-to-critical disease was defined according to the WHO criteria. Descriptive statistics were applied. Mann-Whitney U-test was applied to compare the difference of markers between moderate-severe and critical patients. ROC was plotted to determine the cut-off values of these markers. Binary logistics regression analysis was used to assess which markers significantly predict the severity of COVID-19. Results: A D-dimer value of >775 ng/ml and LDH >495 U/L had a sensitivity of 72.9% and 79.2% and specificity of 57.9% and 53.6% respectively for critical COVID-19 illness. CRP levels of >100.5 mg/dl has a sensitivity of 66.7%. All inflammatory markers were significantly higher in a critical group of patients (p < 0.05) except for lymphopenia. Binary logistics regression analysis shows that LDH levels and D-dimers were only significant predictors of severity in COVID-19 patients. Conclusion: Inflammatory markers at admission are very useful in defining the severity of COVID-19 in addition to the clinical criteria. This is also useful in predicting adverse outcomes.

Post-acute COVID-19 syndrome and its prolonged effects: An updated systematic review.

Objective: This systematic review aimed at estimating the prevalence of post-acute COVID-19 symptoms in view of published literature that studied prolonged clinical manifestations after recovery from acute COVID-19 infection. Methods: Relevant databases were searched for extraction of articles. For data synthesis, based on the distribution of quantitative variables, they were expressed as mean ± standard deviation (SD) or median and interquartile range (IQR). Qualitative variables were presented as frequency (n) and percentages (%). Results: Twenty-one articles qualified for the final analysis. The most common persistent clinical manifestations were fatigue (54.11%), dyspnea (24.38%), alopecia (23.21%), hyperhidrosis (23.6%), insomnia (25.98%), anxiety (17.29%), and arthralgia (16.35%). In addition to these symptoms, new-onset hypertension, diabetes, neuropsychiatric disorders, and bladder incontinence were also reported. Conclusion: Clinical features of post-acute COVID-19 infection can manifest even after 60 days of initial infection. Multidisciplinary care along with regular follow-up must be provided to such patients.

Awareness regarding COVID-19 and its effects on mental health among pre-professional health sciences students at King Saud bin Abdulaziz University for health sciences in Riyadh and Jeddah, Saudi Arabia.

In light of the outbreak caused by the COVID-19 and its impact on the physical and mental wellbeing, we explored the consequences of this pandemic on the mental health among pre-professional health sciences students and their awareness regarding the virus. A descriptive observational cross-sectional study was conducted at King Saud bin Abdulaziz University for Health Sciences (KSAU-HS) in Jeddah and Riyadh campuses. Data was collected from 770 participants using an online questionnaire, and statistical analysis was performed using SPSS. The majority of the participants (87.5%) considered governmental authorities as their main source of information, and therefore, they were up to date on the general information regarding COVID-19. For findings on mental health, it was found that 61.9% were exhibiting variant degrees of depression, as well as 50% expressing signs of extremely severe anxiety. However, 50.9% of the participants expressed no signs of stress during this pandemic. An association was found between gender and mental health showing females to have higher tendencies to express signs of extremely severe depression, anxiety, and stress. An association was also found between parents' marital status and anxiety. Analysis revealed that participants with separated parents were the least among the participants to show no signs of anxiety, as well as reporting the highest numbers in the "extremely severe" anxiety category. With the increased awareness and higher than normal levels of the investigated mental illnesses, we advise that proper action should be considered to address this issue.

Effect of COVID-19 on lipid profile parameters and its correlation with acute phase reactants: A single-center retrospective analysis.

Background and objective: The development and correlation of dyslipidemia is unknown in COVID-19. This investigation was performed to assess the pathological alterations in lipid profile and their association in COVID-19. Methods: This was a retrospective study performed on real-world patients to assess serum levels of LDL-C, HDL, TG, TC on COVID-19 patients (mild: 319; moderate: 391; critical: 357). Age- and gender-matched controls who had their lipid profiles in the same period were included as the control group. Results: LDL-C, HDL, TG, and TC levels were significantly lower in COVID-19 patients when compared with the control group (P < 0.001, 0.047, 0.045, <0.001, respectively). All parameters decreased gradually with COVID-19 disease severity (LDL-C: median (IQR), mild: 98 (91,134); moderate: 97 (81,113); critical: 68 (68,83); HDL: mild: 45 (37,50); moderate: 46 (41,50); critical: 40 (37,46); TG: mild: 186 (150,245); moderate: 156 (109,198); critical: 111 (98,154); TC: mild: 224 (212,238); moderate: 212 (203,213); critical: 154 (125,187)). Logistic regression demonstrated lipid profile as predictor of severity of COVID-19 disease. Conclusion: Hypolipidemia develops in increasing frequency with severe COVID-19 disease. It inversely correlates with levels of acute-phase reactants, indicating SARS-COV-2 as the causative agent for alteration in lipid and thyroid levels.

Preparedness of Public Hospitals for the Coronavirus (COVID-19) Pandemic in Lahore District, Pakistan.

Background Pakistan reported more than a million cases during the coronavirus disease 2019 (COVID-19) pandemic, shuffling the already resource-constrained health system that is known for its high vulnerability and lack of adaption. Objective To find out the level of preparedness of public hospitals for the novel COVID-19 pandemic in Lahore district. Methods A descriptive cross-sectional study was conducted from April to July 2021 among all 18 public hospitals under Specialized Health Care and Medical Education (SHC&ME) in Lahore by administering World Health Organization (WHO) and SHC&ME modified and pre-tested interviewer based and observation checklist. The level of preparedness was assessed for 11 domains, and each domain was scored as a dichotomous variable (Yes and No). Hospital preparedness was labeled as 'acceptable,' 'insufficient,' and 'unacceptable.' Descriptive statistics were run by using SPSS version 26 (IBM Corp., Armonk, NY), and data are presented in the form of tables and bar graphs. Results Out of 18 hospitals, only three (17%) had an acceptable level of preparedness for COVID-19 (>70%). An unacceptable level of preparedness (<35%) was seen in one hospital (5%). Fourteen hospitals (78%) were insufficiently prepared (35-70%). Conclusion The study highlights the suboptimal preparedness in 83% of the public hospitals with a consistent pattern of deficiencies in surge capacity, logistics and resource management, essential services, including diagnostics, infection prevention, and control.

Comparison of chest HRCT severity score in PCR positive and PCR negative clinically suspected COVID-19 Patients.

Background: The limitations and false-negative results of Real-time Polymerase chain reaction (RT PCR) in diagnosing COVID-19 infection demand the need for imaging modalities such as chest HRCT to improve the diagnostic accuracy and assess the severity of the infection. Objectives: The study aimed to compare the chest HRCT severity scores in RT-PCR positive and negative cases of COVID-19. Methods: This cross-sectional study included 50 clinically suspected COVID-19 patients. Chest HRCT and PCR testing of all 50 patients were done and the chest HRCT severity scores for each lung and bronchopulmonary segments were compared in patients with positive and negative PCR results. Chi-square and Mann Whitney U test were used to assess differences among study variables. Results: Chest HRCT severity score was more in PCR negative patients than in those with PCR positive results. However, the difference was not significant (p=0.11). There was a significant association in severity scores of the anterior basal segment of the left lung (p=0.022) and posterior segment upper lobe of right lung (p=0.035) with PCR results. This association was insignificant for other bronchopulmonary segments (p>0.05). Conclusion: CR negativity does not rule out infection in clinically suspected COVID-19 patients. The use of chest HRCT helps to determine the extent of lung damage in clinically suspected patients irrespective of PCR results. Guidelines that consider clinical symptoms, chest HRCT severity score and PCR results for a confirmed diagnosis of COVID-19 in suspected patients are needed.

DST-Predict: Predicting Individual Mobility Patterns From Mobile Phone GPS Data.

Predicting spatial behaviors of an individual (e.g., frequent visits to specific locations) is important to improve our understanding of the complexity of human mobility patterns, and to capture anomalous behaviors in an individual's spatial movements, which can be particularly useful in situations such as those induced by the COVID-19 pandemic. We propose a system called Deep Spatio-Temporal Predictor (DST-Predict), that can predict the future visit frequency of an individual based on one's past mobility behaviour patterns using GPS trace data collected from mobile phones. Predicting such spatial behavior is challenging, primarily because individuals' patterns of location visits for each individual consists of both systematic and random components, which vary across the spatial and temporal scales of analysis. To address these issues, we propose a novel multi-view sequence-to-sequence model that uses Convolutional Long-short term memory (ConvLSTM) where the past history of frequent visit patterns features is used to predict individuals' future visit patterns in a multi-step manner. Using the GPS survey data obtained from 1,464 participants in western New York, US, we demonstrated that the proposed system is capable of predicting individuals' frequency of visits to common places in an urban setting, with high accuracy.