Negative COVID-19 Research Articles

Lasting liver injury following COVID-19 infection characterized by ultrasound shear wave elastography

ObjectiveTo assess for lasting hepatic injury using ultrasound shear wave elastography (SWE) in patients following COVID-19 infection. MethodsIn this retrospective cohort study, patients with SWE exams between January 2019 and 2022 were categorized into three groups: 1) post-COVID-19 subjects with positive COVID-19 PCR assay, 2) random sample of contemporaneous unexposed patients with only negative prior COVID-19 PCR tests, and 3) random sample of pre-pandemic patients to address possible undiagnosed COVID-19 infection in the contemporaneous group. The average difference in median Young’s modulus between post-COVID-19 patients and controls was calculated using a linear regression model after controlling for confounders. Results130 patients (mean age ± SD, 56 years ± 13; 66 women) were evaluated, including 30 patients after COVID-19 infection (mean age ± SD, 53 years ± 11; 15 women), 50 contemporaneous unexposed patients (mean age ± SD, 55 years ± 13; 27 men), and 50 pre-pandemic patients (mean age ± SD, 58 years ± 13; 28 women). SWE scans were performed on General Electric LOGIQ E9 or E10 an average of 44 (range, 12-81) weeks after COVID-19 infection. COVID-19 infection was associated with an average increase in median Young’s modulus of 1.5 kPa (95% CI [0.44, 2.355], p=0.006) after controlling for age, sex, obesity, history of chronic liver disease, and time period. Post-COVID-19 patients had higher liver stiffness compared to contemporaneous controls (median = 7.58 vs 5.99 kPa, p=0.001) but not pre-pandemic controls (median = 7.00 kPa, p=0.51). ConclusionsCOVID-19 infection is associated with increased liver stiffness, which may reflect lasting hepatic injury such as ongoing inflammation or the development of fibrosis. US SWE may serve as a noninvasive tool for long-term liver health monitoring after COVID-19 infection.

Resting-State Functional Connectome Predicts Sleep Quality Two Months After the First Negative COVID-19 Antigen Test

BackgroundThe COVID-19 pandemic has led to long-term neurological and psychological effects, including sleep disturbances. While prior studies have identified altered brain function post-COVID-19, specific functional connectivity (FC) patterns predicting sleep quality after recovery remain unclear. This study aims to identify FC patterns associated with sleep quality two months after the first negative COVID-19 antigen test. MethodsUsing a connectome-based predictive modeling (CPM) approach, we identified the functional connectome regulating sleep quality based on a 164-region parcellation. Significant connections were analyzed using mediation models to examine their role in the relationship between anxiety, depression, and sleep. ResultsFC between the right cerebellar peduncle and the left VIII of the cerebellum, and between the left middle temporal pole (MTP) and left ventral tegmental area (VTA), significantly predicted Pittsburgh Sleep Quality Index (PSQI) scores for sleep disturbance two months post-recovery (q2 = 0.059, MSE = 0.154, p = 0.017, r = 0.350). Mediation analysis showed a significant indirect effect of FC between the left MTP and VTA on the relationship between generalized anxiety and sleep disturbances (indirect effect = 0.013, 95% CI = [0.002, 0.03], pfdr < 0.05). FC between the right dorsal raphe nucleus and ipsilateral regions—including occipital, parietal, and temporal areas—predicted PSQI scores for daytime dysfunction (q2 = 0.092, MSE = 0.678, p = 0.025, r = 0.342). ConclusionPost-COVID-19 brain connectivity and anxiety predict sleep quality. These findings highlight the potential for targeted therapeutic strategies to improve sleep and identify patients at risk for prolonged disturbances through FC biomarkers.

COVID-19 Severity and Food Insecurity: Evidence from Pakistan

COVID-19 caused serious food disruptions worldwide and raised food insecurity levels. To further understand how COVID-19 impacted food insecurity, this study used nationally representative data from Pakistan to examine the effect of negative COVID-19 shock on food insecurity and its heterogeneity across different income groups. COVID-19 shock was quantified by a subjective measure based on self-reported exposure to the severity of COVID-19. We found that households struck severely by COVID-19 were about 26% more likely to report a lack of healthy food, almost 35% more likely to skip a meal, around 33% more likely to run out of food, and around 20% more likely to go without food for one whole day in comparison to the households unexposed to the severe COVID-19 shock. Furthermore, households affected by severe COVID-19 shock, especially those in the lower income quartiles, faced acute food insecurity. We constructed two additional proxies for this negative COVID-19 shock based on the objective assessment of income loss due to the lockdown measures in Pakistan to examine the robustness of the findings, and they also led to similar outcomes. Overall, the findings suggested that poorer and COVID-19-stricken households faced severer food insecurity and required urgent support.

Memory impairment after one year of the acute episode of Covid-19 infection

Abstract Introduction Memory impairment is one of the most frequently reported sequelae of COVID-19 infection. The aim of our study was to estimate the risk of memory disorders one year after the acute episode of COVID-19 infection in the Tunisian population of Monastir. Methods This is a cohort study conducted in Monastir University Hospital. The study included two groups: Exposed subjects were randomly selected among those with a positive diagnosis of COVID-19 between September 2021 and January 2022. The non exposed group was selectd among subjects with a negative COVID-19 diagnosis during the same period and who had no COVID infection during the following year. The Mac Nair scale was used to assess memory impairment after one year of follow up. Results Our study included 140 subjects diagnosed with Covid-19 and 139 subjects who had never been in contact with this virus. The incidence rate of memory impairment at one year post-Covid-19 infection was 17.9% (IC95% [11.5 - 24.2%]), whereas in the non exposed group it was 9.4% (IC95% [4.45% -14.5%]). Multivariate analysis revealed that the group exposed to Covid-19 had a significantly higher Mac-Nair Total score after one year of the acute episode of infection compared with the non exposed group (exp β = 1.25, IC95% [1.10; 1.42]). The other main predictors of memory impairment in the study population were age (exp β = 1.006, IC95% [1.001; 1.01]), diabetes (exp β = 1.67, IC95% [1.44; 1.95]), history of anxiety and depression ((exp β = 1.71, IC95% [1.35; 2.17]) and obesity (exp β = 1.25, IC95% [1.10; 1.42]), whereas vaccination with two or more doses prior to COVID-19 infection (exp β = 0.84, IC95% [0.74; 0.96]) and male gender (exp β = 0.65, IC95% [ 0.57; 0.73]) were found to be protective against these disorders. Conclusions Our study allowed us to estimate the risk of long-term memory disorders following Covid-19 infection. This could help better guide preventive measures to reduce the incidence of these disorders. Key messages • The incidence rate of memory impairment at one year post-Covid-19 infection was 17.9%. • The main other predictors of memory impairment were age, female gender, diabetes, history of anxiety and depression and obesity whereas vaccination prior to COVID-19 infection was a protective factor.

Clinical characteristics and outcomes of COVID-19 in pediatric patients with rheumatic diseases.

This study investigates the clinical characteristics and outcomes of pediatric patients with rheumatic diseases infected with COVID-19 in China. We conducted a retrospective analysis of pediatric patients with rheumatic diseases who contracted COVID-19. Data were collected via a comprehensive questionnaire with a 14-day follow-up. Multivariable logistic regression was used to assess severe outcomes, and network analyses evaluated symptom correlations. A total of 1070 cases were collected. Fever (88.05%) and cough (62.75%) were the most common symptoms. Cough, nasal congestion, and runny nose exhibited a stronger correlation with each other. A higher incidence of fever reduced the incidence of two single symptoms (nasal congestion [r = -0.833], runny nose [r = -0.762]). Vaccinated children showed a shorter time to negative COVID-19 conversion (7.21 days vs. 7.63 days, p < 0.05) and lower hospitalization rates (p = 0.025). Prolonged symptom duration was associated with older age (OR: 1.07 [1.04-1.11]; p < 0.001) and systemic lupus erythematosus (OR: 1.47 [1.01-2.12]; p = 0.046). Pediatric patients with rheumatic diseases exhibited a wide range of clinical symptoms after COVID-19 infection. The infection generally did not lead to severe outcomes in this study. COVID-19 vaccination was associated with reduced hospitalization risk and expediting the time to negativity for virus. This manuscript demonstrates a comprehensive analysis of the clinical characteristics and outcomes of COVID-19 infection in pediatric patients with rheumatic diseases in China. It provides critical insights into the specific challenges faced by this vulnerable population and offers practical recommendations for improving patient management during periods of increased infectious risk.

Covid-19 and intra-household financial coping strategies in Pakistan

The economic challenges due to the Covid-19 are likely to be acuter in developing countries as their population predominantly relies on informal activities not protected through insurance or government support. To understand how people are coping with the Covid-19 challenges, this study investigates seven important financial coping strategies of households in Pakistan using a nationally representative large dataset of 6000 households. The data was collected by the government right after the acute stage of the Covid-19 to study the economic implications of pandemic. By using the binary logit regressions our results show that households exposed to a severe negative Covid-19 shock have higher odds of using their savings or investments, acquiring loans, quitting education of their children, not paying their utility bills, and selling their productive assets in comparison to the households unexposed to a severe Covid-19 shock. Furthermore, a gender-based comparison between severely affected male and female-headed households reveals that female-headed households are two times less likely to discontinue the education of their children, obtain informal loans, and sell their productive assets to cope with the Covid-19 shock. This reflects better financial management among female as compared to male-headed households. Lastly, compared to urban households, rural-affected households also have higher odds of quitting the education of their children and not paying utility bills. The findings highlight the severity of the pandemic in a developing country and call for a swift and targeted government response to ensure minimum well-being of the households.

Acceptance of COVID-19 vaccine booster doses among the Adult Population in Ghana: a cross-sectional study using the Health Belief Model.

The Health Belief Model (HBM) is a widely utilised framework for understanding vaccination behaviour against COVID-19. This study assessed the acceptance of COVID-19 vaccine booster doses in Ghana and identified predictors using HBM domains, including perceived susceptibility, severity, benefits, barriers, self-efficacy, and cues to action. Additionally, it examined the sources of information about COVID-19 vaccines. We employed a cross-sectional quantitative design, using convenient and snowball sampling methods to recruit participants. Between March 20 and May 10, 2023, 822 Ghanaians completed a predesigned self-administered online survey via commonly used social media platforms (WhatsApp, Facebook, X (Twitter), and LinkedIn). The study used a binary logistic regression to predict COVID-19 booster dose acceptance. The respondents had a mean age of 29.3 ± 6.2, with 55.5 being males, 53.0% being single/never married, 93.7% having tertiary education, 83.0% being Christians, 59.1% were healthcare workers, 57.8% residing in urban areas, 95.5% having no chronic disease, 90.6% reporting negative COVID-19 history, and 78.3% reporting no reported relative/friend infected with COVID-19. The study showed that 81.1% [95% confidence interval (CI) = 78.4 - 83.8%] of respondents received the COVID-19 vaccine, and 58.3% [95% CI = 54.2 - 62.5%] of respondents were willing to accept the COVID-19 booster dose. The main reasons for non-acceptance of COVID-19 vaccine booster doses were personal reasons (41.7%) and experienced side effects or fear of side effects (32.4%). Regression analysis revealed that perceived benefits and perceived barriers (specifically worrying about serious risk factors) were the significant predictors of accepting COVID-19 booster doses in Ghana. Many respondents were willing to receive the COVID-19 booster dose. Personal reasons, fear of side effects, and experienced side effects were the main reasons for refusing COVID-19 booster doses. Perceived benefits and perceived barriers predicted COVID-19 booster dose acceptance in Ghana. Policymakers should consider these factors in designing public health interventions to increase the patronage of COVID-19 booster doses.

The impact of negative COVID-19 experiences on cancer survivors' health-related quality of life and psychological distress: a moderated mediation model.

Cancer survivors experienced poorer health-related quality of life (HRQoL) and greater psychological distress during the COVID-19 pandemic than those without cancer. However, the underlying mechanisms that may explain how negative experiences during the pandemic are associated with distress and HRQoL remain unknown. We examined whether psychosocial risk factors (i.e., healthcare disruption, disruption to daily activities and social interaction [DDASI], and financial hardship) mediated the relationship between negative COVID-19-related experiences and cancer survivors' HRQoL and psychological distress (i.e., depressive symptoms, and anxiety) and whether the mediating effects were moderated by psychosocial protective factors (i.e., stress management ability and social support). A total of 9,651 cancer survivors completed a questionnaire assessing negative COVID-19-related experiences, psychosocial and practical experiences, and HRQoL. Conditional process analysis was used to evaluate the proposed moderated mediation models. Participants had a mean age of 63.8 years (SD = 12.3) and were mostly non-Hispanic White (82.3%). DDASI and financial hardship mediated the relationship between negative COVID-19-related experiences and cancer survivor's HRQoL and psychological distress. Stress management ability buffered the indirect effect of DDASI on cancer survivors' HRQoL and psychological distress. Social support buffered the indirect effect of financial hardship on HRQoL and depressive symptoms. Financial resources and social interactions may buffer negative effects of major disruptions such as the COVID-19 pandemic. Future studies should assess the longitudinal impact of these associations.

COVID-19 Computed tomography patterns in renal replacement therapy patients.

Lung diseases are common in patients with end stage kidney disease (ESKD), making differential diagnosis with COVID-19 a challenge. This study describes pulmonary chest tomography (CT) findings in hospitalized ESKD patients on renal replacement therapy (RRT) with clinical suspicion of COVID-19. ESKD individuals referred to emergency department older than 18 years with clinical suspicion of COVID-19 were recruited. Epidemiological baseline clinical information was extracted from electronic health records. Pulmonary CT was classified as typical, indeterminate, atypical or negative. We then compared the CT findings of positive and negative COVID-19 patients. We recruited 109 patients (62.3% COVID-19-positive) between March and December 2020, mean age 60 ± 12.5 years, 43% female. The most common etiology of ESKD was diabetes. Median time on dialysis was 36 months, interquartile range = 12-84. The most common pulmonary lesion on CT was ground glass opacities. Typical CT pattern was more common in COVID-19 patients (40 (61%) vs 0 (0%) in non-COVID-19 patients, p < 0.001). Sensitivity was 60.61% (40/66) and specificity was 100% (40/40). Positive predictive value and negative predictive value were 100% and 62.3%, respectively. Atypical CT pattern was more frequent in COVID-19-negative patients (9 (14%) vs 24 (56%) in COVID-19-positive, p < 0.001), while the indeterminate pattern was similar in both groups (13 (20%) vs 6 (14%), p = 0.606), and negative pattern was more common in COVID-19-negative patients (4 (6%) vs 12 (28%), p = 0.002). In hospitalized ESKD patients on RRT, atypical chest CT pattern cannot adequately rule out the diagnosis of COVID-19.

Temporal Association Between COVID-19 Immunoglobulin-G Antibody Induced Focal Cerebral Arteriopathy and New-Onset Acute Ischemic Stroke in a Pediatric: Is it Causal or Coincidental?

ABSTRACT Focal cerebral arteriopathies, vasculitis, microangiopathies, coagulopathies, and in-situ microthrombi leading to territorial infarction of neural tissues are some of the most recent instances which are reported as a consequence of the infection caused by the novel coronavirus (SARS-CoV-2). Acute ischemic stroke (AIS) is one of the major neurological manifestations that have been linked with COVID-19. We describe a case of a 5-year-old boy who had an acute-onset of bilateral arm and leg weakness due to a posterior circulatory ischemic stroke that was temporally associated with COVID-19 Immunoglobulin-G antibody-induced cerebral arteriopathies and vasculitis. Laboratory examination was suggestive of elevated D-dimer levels to 3302 ng/ml, elevated C-reactive protein to 10 mg/dl, and elevated fibrinogen levels to 433 mg/dl. He had a negative COVID-19 nasopharyngeal polymerase chain reaction and positive COVID-19 serologies. Focal cerebral arteriopathy and AIS were managed by administering early antithrombotics, steroids, and multivitamins. On routine follow-ups, the patient remained free from new neurological and functional deficits. Although many hypotheses are proposed to explain the causal relationship between the two, it could as well be sheer coincidence.

Pandemic lessons on essential healthcare services for the urban poor: a qualitative perspective of users and providers in Bangladesh

ObjectiveThe COVID-19 pandemic imposed unprecedented challenges to health systems globally. This study explored slum dwellers’ experience of receiving essential health services during the pandemic and the challenges faced by healthcare...

Automated Immunoprecipitation, Sample Preparation, and Individual Ion Mass Spectrometry Platform for Proteoforms.

Charge detection mass spectrometry (CDMS) is a well-established technique that provides direct mass spectral outputs regardless of analyte heterogeneity or molecular weight. Over the past few years, it has been demonstrated that CDMS can be multiplexed on Orbitrap analyzers utilizing an integrated approach termed individual ion mass spectrometry (I2MS). To further increase adaptability, robustness, and throughput of this technique, here, we present a method that utilizes numerous integrated equipment components including a Kingfisher system, SampleStream platform, and Q Exactive mass spectrometer to provide a fully automated workflow for immunoprecipitation, sample preparation, injection, and subsequent I2MS acquisition. This automated workflow has been applied to a cohort of 58 test subjects to determine individualized patient antibody responses to SARS-CoV-2 antigens. Results from a range of serum donors include 37 subject I2MS spectra that contained a positive COVID-19 antibody response and 21 I2MS spectra that contained a negative COVID-19 antibody response. This high-throughput automated I2MS workflow can currently process over 100 samples per week and is general for making immunoprecipitation-MS workflows achieve proteoform resolution.

Use of strips of rapid diagnostic tests as a source of ribonucleic acid for genomic surveillance of viruses: an example of SARS-CoV-2

BackgroundThis study aimed to demonstrate that the genomic material of SARS-CoV-2 can be isolated from strips of COVID-19 rapid diagnostic test cassettes.MethodIt was a prospective cross-sectional study involving patients admitted to treatment centers and sampling sites in the city of Conakry, Guinea. A total of 121 patients were double sampled, and 9 more patients were tested only for RDT. PCR was conducted according to the protocol of the RunMei kit. Sequencing was performed by using the illumina COVIDSeq protocol. Nine COVID-19 RDTs without nasopharyngeal swabs were in addition tested.ResultAmong the 130 COVID-19 RDTs, forty-seven were macroscopically positive, whereas seventy-two were positive according to PCR using RDT strip, while among the 121 VTM swabs, sixty-four were positive. Among eighty-three negative COVID-19 RDTs, twenty-seven were positive by PCR using RDT strip with a geometric mean Ct value of 32.49 cycles. Compared to those of PCR using VTM, the sensitivity and specificity of PCR using RDT strip were estimated to be 100% and 85.96%, respectively, with 93.39% test accuracy. Among the fifteen COVID-19 RDT extracts eligible for sequencing, eleven had sequences identical to those obtained via the standard method, with coverage between 75 and 99.6%.ConclusionThese results show that COVID-19 RDTs can be used as biological material for the genomic surveillance of SARS-CoV-2.

COVID-19 screening as an opportunity to find TB cases; experiences from an urban National Referral Hospital in Kampala, Uganda

BackgroundFollowing the World Health Organization’s declaration of COVID-19 as a global pandemic, several countries implemented population-wide lockdowns. However, these responses to COVID-19 caused severe healthcare system disruptions to service delivery. The TB case notification rate in Uganda decreased by 22% between January and April 2020, which coincided with a lockdown and an increase in COVID-19 cases. In this study, we tested the effect of screening all patients with both COVID-19-positive and negative symptom screen for TB at a National Referral Hospital.Design/MethodsFollowing our formative assessment, we identified potential barriers to and facilitators of integrating screening for COVID-19 and TB at Kiruddu National Referral Hospital. To address the barriers, in February 2021 we trained healthcare providers on integrated COVID-19-TB screening tools and provided COVID-19/TB screening tools/Standard operating procedures and personal protective equipment. From March 1, 2021, to June 30, 2021, we screened patients presenting to the emergency and outpatient departments for COVID-19 symptoms, and subsequently, we performed TB symptom screening for both patients with COVID-19 positive and negative symptom screen using the intensified tuberculosis case-finding (ICF) guide. We then compared the outcomes of TB symptom screening for patients initially with a positive COVID-19 symptom screen with those who initially had a negative COVID-19 symptom screen.ResultsFrom March 2021 to June 2021, we screened 1464 patients (44.3% male and 55.7% female) for COVID-19 symptoms. Out of these participants, 1252 (85.5%) screened positive for COVID-19 symptoms, while 212 (14.5%) screened negative. The majority of patients with a positive COVID-19 symptom screen, 717 (57.3%), also screened positive for TB symptoms compared to 19 (8.9%) among patients with a negative COVID-19 symptom screen. Out of the total 736 presumptive TB cases identified, 717 (97.4%) initially screened positive for COVID-19 symptoms. TB was diagnosed in 110 individuals including 104 who had positive COVID-19-symptom screen and six who had a negative COVID-19 symptom screen. All of the 110 newly diagnosed TB cases were linked to TB treatment.ConclusionsPatients who screen positive for COVID-19 symptoms should be routinely screened for TB to mitigate missed opportunities for TB case identification.

Adolescents perception of the COVID-19 pandemic restrictions and associated mental health and well-being: gender, age and socioeconomic differences in 22 countries

BackgroundThe COVID-19-pandemic has had a profound impact on the lives of adolescents worldwide. This study examined the subjective perception of the COVID-19 pandemic measures and its association with mental health and well-being (i.e., loneliness, life satisfaction and multiple health complaints) among 13- and 15-years-old adolescents from 22 countries.MethodsData from the cross-national Health Behaviour in School-aged Children (HBSC) 2021/22 study were used from representative samples of 22 countries (N = 67,544; 51.9% girls). The self-perceived impact of COVID-19 measure comprised 10 items asking about the impact on several dimensions of adolescent lives (e.g., relationships with family and friends, health, or eating behaviours). Measures of loneliness, multiple health complaints, and life satisfaction were included as indicators of mental health and well-being. A non-parametric multilevel latent class analysis considering individual and country-levels was conducted to identify classes of self-perceived impact of the COVID-19 measures. Multilevel logistic regression models adjusted by age and socioeconomic status were applied to assess the association between COVID-19 measure impact classes and mental health.ResultsThree classes were identified on individual level encompassing a neutral (51%), positive (31%), or negative (18%) perception of COVID-19 measures. A third of the adolescents reported a positive impact of the pandemic measures. The distribution of classes was heterogeneous within and across countries. Within the positive COVID-19 measure impact class, social relationships were the most important dimension, whereas mental health problems were mostly represented within the negative COVID-19 measure impact class. Girls with a negative perception of pandemic measures showed higher levels of loneliness and multiple health complaints and lower life satisfaction. 15-year-old adolescents and those with a low socioeconomic status reported higher levels of loneliness and lower life satisfaction.ConclusionsThe majority of adolescents perceived the pandemic measures as neutral or positive. Girls, 15-year-old adolescents, and those with low socioeconomic status were at higher risk of suffering from pandemic measures and associated problems of loneliness, multiple health complaints, and low life satisfaction. We conclude that adolescent’s mental health and well-being should be considered in the decision-making process by ensuring that the unique challenges of adolescents are adequately addressed in policies.

Mental health among Hispanic college students during the COVID-19 pandemic: Concurrent and predictive effects of negative and positive COVID-19 changes

Objective: We generated items to assess COVID-19 changes among Hispanic college students and examined the concurrent and predictive effects of these changes vis-à-vis mental health. Participants: The sample consisted of 559 Hispanic first-year (69% women; age range 18–22; 88.1% U.S.-born; 84% Mexican/Mexican American) attending a public university in Texas. Methods: Students participated in a three-wave longitudinal online survey assessing stressors, COVID-19 changes, anxious and depressive symptoms, hope, and self-esteem. Results: Students experienced negative changes across six life domains as a result of the pandemic-related lockdowns: education; health; relationships; finances; social issues; death/loss. They also reported positive changes during the lockdowns. Negative changes were positively correlated with higher, and positive changes with lower, acculturative and perceived stress. Negative COVID-19 changes predicted lower mental health. Conclusions: Hispanic students experienced both negative and positive COVID-19 changes, which were related to their mental health. Results can guide research and decision-making during future pandemics.

IL-13 decreases susceptibility to airway epithelial SARS-CoV-2 infection but increases disease severity in vivo.

Treatments available to prevent progression of virus-induced lung diseases, including coronavirus disease 2019 (COVID-19) are of limited benefit once respiratory failure occurs. The efficacy of approved and emerging cytokine signaling-modulating antibodies is variable and is affected by disease course and patient-specific inflammation patterns. Therefore, understanding the role of inflammation on the viral infectious cycle is critical for effective use of cytokine-modulating agents. We investigated the role of the type 2 cytokine IL-13 on SARS-CoV-2 binding/entry, replication, and host response in primary HAE cells in vitro and in a model of mouse-adapted SARS-CoV-2 infection in vivo. IL-13 protected airway epithelial cells from SARS-CoV-2 infection in vitro by decreasing the abundance of ACE2-expressing ciliated cells rather than by neutralization in the airway surface liquid or by interferon-mediated antiviral effects. In contrast, IL-13 worsened disease severity in mice; the effects were mediated by eicosanoid signaling and were abolished in mice deficient in the phospholipase A2 enzyme PLA2G2D. We conclude that IL-13-induced inflammation differentially affects multiple steps of COVID-19 pathogenesis. IL-13-induced inflammation may be protective against initial SARS-CoV-2 airway epithelial infection; however, it enhances disease progression in vivo. Blockade of IL-13 and/or eicosanoid signaling may be protective against progression to severe respiratory virus-induced lung disease.

ASSESSING THE LEGAL RAMIFICATIONS OF THE COVID-19 PANDEMIC ON ADMINISTRATIVE CONTRACTS IN THE UNITED ARAB EMIRATES: COMPARATIVE REVIEW

Background: This study aims to establish whether COVID-19 qualified as a force majeure event or exceptional circumstance according to the laws of the United Arab Emirates (UAE) and assess if a particular principle can circumvent contractual duties. It investigates how COVID-19 impacted administrative contracts in the UAE, using UAE laws and case studies to explore legal theories that justify failure to perform an obligation in such contracts. The UAE, like many other countries, faced an unpredictable event and utilised all its resources and manpower to combat the danger and ensure the safety of its people. This resulted in various restrictions, such as mandatory quarantine for everyone entering the UAE and limitations on travel outside the country. Additionally, certain Emirates within the UAE, such as Abu Dhabi, imposed entry restrictions, requiring a negative COVID-19 test result for entry and later mandating that only vaccinated individuals were permitted to enter. Additionally, the study explores the necessary criteria for demonstrating force majeure or exceptional circumstances in said contracts. This study used an analytical approach to examine laws and court decisions. Based on the findings, the outbreak of COVID-19 did not directly impact administrative contracts in the UAE. This is likely due to the authorities’ effective handling of the situation. Notably, the theories of force majeure and exceptional circumstances could not be automatically and generally applied to all contracts because each contract was unique and required individual considerations. The study presents potential theoretical and practical applications, highlighting opportunities for future research.

Expectations Versus Fantasies and Vaccine Hesitancy: How Suffering From COVID-19 Versus Suffering From Vaccines Interact.

Previous research on COVID-19 vaccination highlights future thoughts associated with possible Coronavirus infection and vaccine side effects as key predictors of vaccine hesitancy. Yet, research has focused on independent contributions of such future thoughts, neglecting their interactive aspects. We examined whether thoughts about two possible COVID-related futures (suffering from COVID-19 and vaccine side effects) interactively predict vaccine hesitancy and vaccination behavior among unvaccinated and vaccinated people. Importantly, we compared two forms of future thinking: beliefs or expectations (likelihood judgments) versus fantasies (free thoughts and images describing future events). In Study 1, we conducted a longitudinal study with an unvaccinated group (N = 210). We assessed expectations versus fantasies about the two COVID-related futures as predictors. As outcome variables, we measured vaccine hesitancy, and 9 weeks later we assessed information seeking and vaccine uptake. Study 2 was a cross-sectional study comparing vaccine hesitancy of an unvaccinated group (N = 307) to that of a vaccinated group (N = 311). Study 1 found that more negative fantasies about COVID-19 impact and less negative fantasies about vaccine side effects interactively predicted lower vaccine hesitancy and more vaccine-related behaviors among unvaccinated people; no such interaction was observed between respective expectations. Study 2 replicated these results of Study 1. Additionally, for vaccinated people, low expectations of negative COVID-19 impact and high expectations of negative vaccine impact interactively predicted higher vaccine hesitancy, whereas no such interaction was observed for respective fantasies. Research on vaccine hesitancy should explore interactions between future thinking about disease and about vaccine side effects. Importantly, there is much to be gained by distinguishing expectations versus fantasies: vaccination interventions aiming to boost vaccine uptake among unvaccinated people should tap into their negative future fantasies regarding both disease and vaccine side effects.

Pulmonary High Resolution Computed Tomography Findings of COVID-19 Patients Using CO-RADS Classification: A Study on Pakistani Population

Background: This study aimed to use high-resolution computed tomography (HRCT) and the CO-RADS grading system to diagnose COVID-19 patients and determine severity. Methodology: A retrospective study analyzed data from 280 patients at Aziz Bhatti Shaheed Hospital Gujrat between January and August 2021. Informed consent and ethical approval were secured. Data collection used a 64-slice multi-detector CT scanner, including patients with positive and negative COVID-19 polymerase chain reaction (PCR) findings. Data were analyzed using SPSS version 23. Results: The study included more males (170, 60.7%) than females (110, 39.3%), with the most affected age group being 45-64 years. HRCT findings showed ground glass opacities in 212 cases (35.6%), consolidations in 158 cases (26.5%), Crazy paving sign in 54 cases (9.1%), pulmonary lesions in 54 cases (9.1%), interstitial lung disease in 42 cases (7.0%), pulmonary infiltrates in 32 cases (5.4%), atelectasis in 26 cases (4.4%), and pulmonary fibrosis in 18 cases (3.0%). CO-RADS classification results were: CO-RADS 1 (5, 1.8%), CO-RADS 2 (11, 3.9%), CO-RADS 3 (101, 36.1%), CO-RADS 4 (68, 24.3%), CO-RADS 5 (56, 20%), and CO-RADS 6 (39, 13.9%). PCR results were positive only in severe cases (starting from CO-RADS 2), while HRCT detected pulmonary findings even in less severe cases (starting from CO-RADS 1). Conclusion: High-resolution computed tomography accurately and quickly identifies COVID-19 infections, even when PCR findings are negative. The CO-RADS technique effectively determines the severity and spread of COVID-19. CO-RADS 3 was the most frequently reported category, with typical findings including peripheral ground glass opacities and bilateral pleural consolidations.