Covid-19 - Navigating the Uncharted

"More Concerned About Mr. and Mrs. Denmark": Coping with Pandemic Crisis at the Intersection of Homelessness and Drug Use

This article builds on fieldwork conducted during lockdown in Denmark among users of services at the intersection of homelessness and drug use. The paper bridges two distinct approaches to understanding the relation between marginalization and crisis, with one focused on the impact of "big events" on marginalized populations, and another on everyday strategies employed to survive situations of homelessness and drug use. The paper shows how past experiences of hardship became relevant for coping with pandemic crisis. It further exploreshow, through critical engagement with dominant accounts of vulnerability, research participants carved out a space for negotiating their marginality in the Danish welfare state.

The impact of COVID-19 pandemic on out-of-hospital cardiac arrest: An individual patient data meta-analysis

AIM

Prior studies have reported increased out-of-hospital cardiac arrests (OHCA) incidence and lower survival during the COVID-19 pandemic. We evaluated how the COVID-19 pandemic affected OHCA incidence, bystander CPR rate and patients' outcomes, accounting for regional COVID-19 incidence and OHCA characteristics.

METHODS

Individual patient data meta-analysis of studies which provided a comparison of OHCA incidence during the first pandemic wave (COVID-period) with a reference period of the previous year(s) (pre-COVID period). We computed COVID-19 incidence per 100,000 inhabitants in each of 97 regions per each week and divided it into its quartiles.

RESULTS

We considered a total of 49,882 patients in 10 studies. OHCA incidence increased significantly compared to previous years in regions where weekly COVID-19 incidence was in the fourth quartile (>136/100,000/week), and patients in these regions had a lower odds of bystander CPR (OR 0.49, 95%CI 0.29-0.81, p = 0.005). Overall, the COVID-period was associated with an increase in medical etiology (89.2% vs 87.5%, p < 0.001) and OHCAs at home (74.7% vs 67.4%, p < 0.001), and a decrease in shockable initial rhythm (16.5% vs 20.3%, p < 0.001). The COVID-period was independently associated with pre-hospital death (OR 1.73, 95%CI 1.55-1.93, p < 0.001) and negatively associated with survival to hospital admission (OR 0.68, 95%CI 0.64-0.72, p < 0.001) and survival to discharge (OR 0.50, 95%CI 0.46-0.54, p < 0.001).

CONCLUSIONS

During the first COVID-19 pandemic wave, there was higher OHCA incidence and lower bystander CPR rate in regions with a high-burden of COVID-19. COVID-19 was also associated with a change in patient characteristics and lower survival independently of COVID-19 incidence in the region where OHCA occurred.

Protection, freedom, stigma: a critical discourse analysis of face masks in the first wave of the COVID-19 pandemic and implications for medical education

Background

The COVID-19 pandemic has spotlighted the face mask as an intricate object constructed through the uptake of varied and sometimes competing discourses. We investigated how the concept of face mask was discursively deployed during the first phase of the COVID-19 pandemic. By examining the different discourses surrounding the use of face masks in public domain texts, we comment on important educational opportunities for medical education.

Method

We applied critical discourse methodology to look for key phrases related to face masks that can be linked to specific socio-economic and educational practices. We created an archive of 171 English and Mandarin texts spanning the period of February to July 2020 to explore how discourses in Canada related to discourses of mask use in China, where the pandemic was first observed. We analyzed how the uptake of discourses related to masks was rationalized during the first phase of the pandemic and identified practices/processes that were made possible.

Results

While the face mask was initially constructed as personal protective equipment, it quickly became a discursive object for rights and freedoms, an icon for personal expression of political views and social identities, and a symbol of stigma that reinforced illness, deviance, anonymity, or fear.

Conclusion

Discourses related to face masks have been observed in public and institutional responses to the pandemic in the first wave. Finding from this research reinforce the need for medical schools to incorporate a broader socio-political appreciation of the role of masks in healthcare when training for pandemic responses.

COVID-19 illness: Different comorbidities may require different immunological therapeutic targets

BACKGROUND

The SARS-CoV-2 pandemic has led to more than 6,870.000 deaths worldwide. Despite recent therapeutic advances, deaths in Intensive Care Units still range between 34 and 72%, comprising substantial unmet need as we move to an endemic phase. The general agreement is that in the first few days of infection, antiviral drugs and neutralizing monoclonal antibodies should be adopted. When the patient is hospitalized and develops severe pneumonia, progressing to a systemic disease, immune modifying therapy with corticosteroids is indicated. Such interventions, however, are less effective in the context of comorbidities (e.g., diabetes, hypertension, heart failure, atrial fibrillation, obesity and central nervous system-CNS diseases) which are by themselves associated with poor outcomes. Such comorbidities comprise common and some distinct underlying inflammatory pathobiology regulated by differential cytokine taxonomy.

METHODS

Searching in the PubMed database, literature pertaining to the biology underlying the different comorbidities, and the data from the studies related to various immunological treatments for the Covid-19 disease were carefully analyzed.

RESULTS

Several experimental and clinical data have demonstrated that hypertension and atrial fibrillation present an IL-6 dependent signature, whereas diabetes, obesity, heart failure and CNS diseases may exhibit an IL-1a/b predominant signature. Distinct selective cytokine targeting may offer advantage in treating severe COVID-19 illness based on single or multiple associated comorbidities. When the patient does not immediately respond, a broader target range through JAKs pathway inhibitors may be indicated.

CONCLUSIONS

Herein, we discuss the biological background associated with distinct comorbidities which might impact the SARS-CoV-2 infection course and how these should to be addressed to improve the current therapeutic outcome.

A fractional mathematical model with nonlinear partial differential equations for transmission dynamics of severe acute respiratory syndrome coronavirus 2 infection

This study presents a fractional mathematical model based on nonlinear Partial Differential Equations (PDEs) of fractional variable-order derivatives for the host populations experiencing transmission and evolution of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. Five host population groups have been considered, the Susceptible, Exposed, Infected, Recovered, and Deceased (SEIRD). The new model, not introduced before in its current formulation, is governed by nonlinear PDEs with fractional variable-order derivatives. As a result, the proposed model is not compared with other models or real scenarios. The advantage of the proposed fractional partial derivatives of variable orders is that they can model the rate of change of subpopulation for the proposed model. As an efficient tool to obtain the solution of the proposed model, a modified analytical technique based on the homotopy and Adomian decomposition methods is introduced. Then again, the present study is general and is applicable to a host population in any country.

"It's Gonna Be Okay"-A Qualitative Exploration of the COVID-19 Pandemic's Effects on African American Participants During a Dietary Intervention Study

BACKGROUND

African American adults are at increased risk for chronic diseases. Limited research exists regarding how the COVID-19 pandemic affected African American adults in behavioral interventions.

OBJECTIVE

This study assessed how the early months of the COVID-19 pandemic, before vaccine availability and widespread testing, affected stress, nutrition, and exercise behaviors of African American adults participating in a dietary intervention study.

DESIGN

This was a qualitative interview study conducted with participants from both diet groups as part of the ongoing Nutritious Eating with Soul (NEW Soul) study. NEW Soul is a 2-year, randomized dietary intervention study with participants randomized to follow a vegan (intervention) or low-fat omnivorous diet (control), with both diets focused on soul food.

PARTICIPANTS/SETTING

Participants (n = 20) came from 2 cohorts of the larger intervention study in South Carolina and were purposefully recruited based on high and low attendance at intervention sessions. Participants in the first cohort were near the end of the intervention, and participants in the second cohort were near the mid-point. The interviews were conducted from June to July 2020.

MAIN OUTCOME MEASURES

Outcomes included participants' experiences related to stress, nutrition, and exercise behaviors during the early months of the COVID-19 pandemic.

ANALYSIS

Interviews were recorded and transcribed verbatim. Interview transcripts were coded by two coders using NVivo software. Interviews were coded through content analysis using a constant comparative method.

RESULTS

Participants discussed the following 3 themes in relation to health behaviors: increased stress, change in routines, and advice to follow health goals.

CONCLUSIONS

Findings provide perspectives for designing interventions for African American adults establishing new routines to overcome setbacks and changes in routines created by the COVID-19 pandemic.

COVID-19 Pandemic Associations on Mental and Physical Health in African Americans Participating in a Behavioral Intervention

The COVID-19 pandemic has had disproportionate effects on communities of color, with higher death rates among African Americans (AA). The purpose of this study was to assess associations in African Americans' mental and physical health with the COVID-19 pandemic. Data for this study came from a larger nutrition intervention of AAs in the Southeastern United States, the Nutritious Eating with Soul study. Data collected before and after March 15, 2020 (the day when local South Carolina schools and businesses closed), were analyzed to assess the association of the pandemic on participants' stress, control of healthy eating, physical activity, and body mass index. Repeated measures analysis of covariance using full maximum likelihood estimation to handle missing data was used. At the onset of the COVID-19 pandemic, 150 participants were enrolled in the study (48.2 ± 10.6 years old, 79% female, 75% with college degree or higher). Participants' reporting of stress did not show statistically significant change over time. Cognitive control increased 1.43 points (F = 20.60, p < 0.0001) and body mass index increased 0.72 kg/m2 (F = 10.68, p = 0.001). Future longitudinal studies should investigate how the COVID-19 pandemic continues to present challenges to understanding and improving health among African Americans. The study is registered at www.clinicaltrials.gov NCT03354377.

Effect of serum autoantibodies on the COVID-19 patient's prognosis

Objectives

Virus infection closely associated with autoimmune disease. The study aimed to explore the autoantibody profiles and the correlation of autoantibodies with the disease severity and the prognosis of the coronavirus disease 2019 (COVID-19) patients.

Methods

Three hundred thirty-seven hospitalized COVID-19 patients from 6th to 23rd January 2023 were enrolled. Logistic and Cox regression analyses were used to analyze the risk factors for the patient's disease severity and outcome. The association between Anti-extractable nuclear antigen antibody (ENA) positivity and the prognosis of COVID-19 patients was analyzed using Kaplan-Meier survival curves.

Results

137 of COVID-19 patients were detected positive for antinuclear antibody (ANA), 61 had positive results for ENA, and 38 were positive for ANA and ENA. ANA positivity rate was higher in non-severe illness group (p = 0.032). COVID-19 patients who died during hospitalization had a high rate of ENA positivity than convalescent patients (p = 0.002). Multivariate logistic regression showed that ANA positivity was a protective factor for the disease severity of COVID-19. Multivariate Cox regression analysis revealed that ENA positivity, white blood cells count (WBC), aspartate aminotransferase (AST), Creatinine (CREA), and CRP were independent risk factors for the outcome of COVID-19 patients, and that COVID-19 patients with ENA positivity had a lower cumulative survival rate (p = 0.002).

Conclusion

A spectrum of autoantibodies were expressed in COVID-19 patients, among which ANA and ENA positivity was associated with the severity and prognosis of COVID-19. Therefore, autoantibodies may help to assess the disease severity and prognosis of COVID-19 patients.

Asthma and COPD as co-morbidities in patients hospitalised with Covid-19 disease: a global systematic review and meta-analysis

BACKGROUND

Factors predisposing to increased mortality with COVID-19 infection have been identified as male sex, hypertension, obesity, and increasing age. Early studies looking at airway diseases gave some contradictory results. The purpose of our study was to determine global variation in studies in patients hospitalized with COVID-19 in the prevalence of COPD and asthma; and to determine whether the presence of asthma or COPD affected mortality in the same hospital population.

METHODS

A systematic review and meta-analysis of the published literature of COPD and asthma as co-morbidities in patients hospitalized with COVID-19 was performed, looking firstly at the prevalence of these diseases in patients hospitalized with COVID-19, and secondly at the relative risk of death from any cause for patients with asthma or COPD.

RESULTS

Prevalence of both airway diseases varied markedly by region, making meaningful pooled global estimates of prevalence invalid and not of clinical utility. For individual studies, the interquartile range for asthma prevalence was 4.21 to 12.39%, and for COPD, 3.82 to 11.85%. The relative risk of death with COPD for patients hospitalized with COVID-19 was 1.863 (95% CI 1.640-2.115), while the risk with asthma was 0.918 (95% CI 0.767 to 1.098) with no evidence of increased mortality.

CONCLUSIONS

For asthma and COPD, prevalence in patients hospitalized with COVID-19 varies markedly by region. We found no evidence that asthma predisposed to increased mortality in COVID-19 disease. For COPD, there was clear evidence of an association with increased mortality.

TRIAL REGISTRATION

The trial was registered with PROSPERO: registration number CRD42021289886.

The Promotion of Humoral Immune Responses in Humans via SOCS1-Mediated Th2-Bias Following SARS-CoV-2 Vaccination

The effectiveness of SARS-CoV-2 vaccines varies among individuals. During the COVID-19 global pandemic, SARS-CoV-2 infection showed significant Th1 characteristics, suggesting that the immune disorder and production of SARS-CoV-2 antibodies may be related to Th1/Th2 bias. However, the molecular mechanisms underlying Th1/Th2 bias effects on host immune responses to viruses remain unclear. In this study, the top three subjects with the highest and lowest changes in anti-SARS-CoV-2 antibodies after receiving three doses of SARS-CoV-2 vaccination were selected and defined as the elevated group (E) and the control group (C), respectively. Peripheral blood was collected, single-cell sequencing was performed before and after the third dose of the SARS-CoV-2 vaccine, and the changes in T cell clusters were analyzed. Compared with the C group, the Treg pre-vaccination proportion was lower in E, while the post-vaccination proportion was higher, suggesting that Tregs may be crucial in this process. Differential analysis results of Tregs between the two groups revealed that differentially expressed genes (DEGs) were significantly enriched in the IL4 pathway. Correlation analysis between DEGs and serum antibody showed that the expression of NR4A2, SOCS1, and SOCS3 in Tregs was significantly correlated with serum antibodies, suggesting that the immune response in E group changed to Th2 bias, thereby promoting host humoral immune responses. On the other hand, antibody-related genes SOCS1 and NR4A2, as well as lnc-RNA MALAT1 and NEAT1, were highly expressed in the CD4-MALAT1 subclusters. In summary, our study revealed that Th2 bias promotes humoral immune responses in humans by increasing SOCS1 in T cells after SARS-CoV-2 vaccination. Moreover, NR4A2, SOCS1, MALAT1, and NEAT1 were identified as the potential key biomarkers or treatment targets for enhanced SARS-CoV-2 antibody production by influencing the Th1/Th2 balance in T cells. Our findings have important implications for population stratification and tailored therapeutics for more effective SARS-CoV-2 vaccines.

Anti-pandemic resilience assessment for countries along the Belt and Road route

Background

The COVID-19 pandemic is sweeping the world, and countries along the Belt and Road (B&R) route have also been hit hard. However, the impact varied greatly from country to country, some severely and others mildly. What factors have led to such a wide variation?

Method

In this paper, we considered institutional, infrastructural, economic, social, and technological resilience as components of overall anti-pandemic resilience, and constructed a set of indicators to evaluate this resilience for B&R countries in 2020. We evaluated the anti-pandemic resilience using the combined empowerment-VIKOR method, and classified the countries into different resilience levels by means of hierarchical clustering. The validity of the evaluation indicator system was verified by analyzing the consistency between the actual performance and the assessed resilience.

Results

The ranking results showed that Israel and Bahrain were representative of countries that had the highest resilience, Hungary and Estonia represented countries with moderate resilience, and Laos and Cambodia represented countries with the lowest resilience. We also found that countries with high resilience had much better institutional and economic resilience than countries with moderate resilience, whereas countries with low resilience lagged behind in both infrastructural and social resilience. Based on these findings, policy recommendations were offered to help B&R countries respond to future pandemics.

Comparison of the first and sixth waves of the SARS-COV-2 coronavirus pandemic in patients with immune-mediated disease

INTRODUCTION

Recent evidence shows that COVID-19 infection does not have a worse prognosis in patients with immune-mediated inflammatory diseases (IMID), although they develop a worse response to vaccination.

OBJECTIVE

To compare the incidence of COVID-19 and clinical features in patients with IMID between the first and sixth waves.

METHOD

Prospective observational study of two cohorts of IMID patients diagnosed with COVID-19. First cohort March to May 2020, and second cohort December/2021 to February/2022. Sociodemographic and clinical variables were collected and, in the second cohort, COVID-19 vaccination status. Statistical analysis established differences in characteristics and clinical course between the two cohorts.

RESULTS

In total, 1627 patients were followed up, of whom 77 (4.60%) contracted COVID-19 during the first wave and 184 in the sixth wave (11.3%). In the sixth wave, there were fewer hospitalisations, intensive care unit admissions, and deaths than in the first wave (p=.000) and 180 patients (97.8%) had at least one dose of vaccine.

CONCLUSION

Early detection and vaccination have prevented the occurrence of serious complications.

Age-related influence on DNA damage, proteomic inflammatory markers and oxidative stress in hospitalized COVID-19 patients compared to healthy controls

COVID-19 infections are accompanied by adverse changes in inflammatory pathways that are also partly influenced by increased oxidative stress and might result in elevated DNA damage. The aim of this case-control study was to examine whether COVID-19 patients show differences in oxidative stress-related markers, unconjugated bilirubin (UCB), an inflammation panel and DNA damage compared to healthy, age-and sex-matched controls. The Comet assay with and without the treatment of formamidopyrimidine DNA glycosylase (FPG) and H2O2 challenge was used to detect DNA damage in whole blood. qPCR was applied for gene expression, UCB was analyzed via HPLC, targeted proteomics were applied using Olink® inflammation panel and various oxidative stress as well as clinical biochemistry markers were analyzed in plasma. Hospitalized COVID-19 patients (n = 48) demonstrated higher serum levels of 55 inflammatory proteins (p < 0.001), including hs-C-reactive protein levels (p < 0.05), compared to healthy controls (n = 48). Interestingly, significantly increased age-related DNA damage (%-DNA in tail) after formamidopyrimidine DNA glycosylase (FPG) treatment was measured in younger (n = 24, average age 55.7 years; p < 0.05) but not in older COVID-19 patients (n = 24, average age 83.5 years; p > 0.05). Although various oxidative stress markers were not altered (e.g., FRAP, malondialdehyde, p > 0.05), a significant increased ratio of oxidized to reduced glutathione was detected in COVID-19 patients compared to healthy controls (p < 0.05). UCB levels were significantly lower in individuals with COVID-19, especially in younger COVID-19 patients (p < 0.05). These results suggest that COVID-19 infections exert effects on DNA damage related to age in hospitalized COVID-19 patients that might be driven by changes in inflammatory pathways but are not altered by oxidative stress parameters.

Stem cell-based therapy for COVID-19

While The World Health Organization (WHO) has announced that COVID-19 is no longer a public health emergency of international concern(PHEIC), the risk of reinfection and new emerging variants still makes it crucial to study and work towards the prevention of COVID-19. Stem cell and stem cell-like derivatives have shown some promising results in clinical trials and preclinical studies as an alternative treatment option for the pulmonary illnesses caused by the COVID-19 and can be used as a potential vaccine. In this review, we will systematically summarize the pathophysiological process and potential mechanisms underlying stem cell-based therapy in COVID-19, and the registered COVID-19 clinical trials, and engineered extracellular vesicle as a potential vaccine for preventing COVID-19.

No causal association between COVID-19 and sepsis: a bidirectional two-sample Mendelian randomization study

Background

Sepsis and COVID-19 have a well-established observable relationship. Whether COVID-19 increases the likelihood of developing sepsis and whether patients with sepsis are at increased risk for COVID-19 infection is unknown. Using a bidirectional 2-sample Mendelian randomization (TSMR) analysis techniques in sizable cohorts, we sought to answer this question.

Methods

The current study performed Mendelian randomization (MR) on publicly accessible genome-wide association study (GWAS) summary data in order to investigate the causal linkages between COVID-19 and sepsis. A Two-Sample MR(TSMR) analyses was performed. As instrumental variables, a COVID-19 dataset of single nucleotide polymorphisms (SNPs) with significance value smaller than 5*10-8 was employed and Sepsis dataset of SNPs with significance value smaller than 5*10-7was employed.

Results

The results suggested that Very severe respiratory confirmed COVID-19(VSRC), hospitalized COVID-19(HC) and Infected COVID-19(IC) had no causal influence on sepsis risk using the inverse variance weighted (IVW) technique (VSRC OR = 1.000, 95% CI, 0.956-1.046, P = 0.996, HC OR = 0.976, 95% CI, 0.920-1.036, P = 0.430, IC OR = 0.923, 95% CI, 0.796-1.071, P = 0.291) and there was no causal effect of sepsis on the risk of VSRC, HC and IC (VSRC OR = 0.955, 95% CI, 0.844-1.173, P = 0.953, HC OR = 0.993, 95% CI, 0.859-1.147, P = 0.921, IC OR = 1.001, 95% CI, 0.959-1.045, P = 0.961).

Conclusions

Our findings do not support a causal relationship between COVID-19 and sepsis risk, nor do they suggest a causal link between sepsis and COVID-19. The bidirectional relationship between COVID-19 and sepsis warrants further investigation in large cohorts.

From Emergence to Endemicity: A Comprehensive Review of COVID-19

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), later renamed coronavirus disease 2019 (COVID-19), was first identified in Wuhan, China, in early December 2019. Initially, the China office of the World Health Organization was informed of numerous cases of pneumonia of unidentified etiology in Wuhan, Hubei Province at the end of 2019. This would subsequently result in a global pandemic with millions of confirmed cases of COVID-19 and millions of deaths reported to the WHO. We have analyzed most of the data published since the beginning of the pandemic to compile this comprehensive review of SARS-CoV-2. We looked at the core ideas, such as the etiology, epidemiology, pathogenesis, clinical symptoms, diagnostics, histopathologic findings, consequences, therapies, and vaccines. We have also included the long-term effects and myths associated with some therapeutics of COVID-19. This study presents a comprehensive assessment of the SARS-CoV-2 virology, vaccines, medicines, and significant variants identified during the course of the pandemic. Our review article is intended to provide medical practitioners with a better understanding of the fundamental sciences, clinical treatment, and prevention of COVID-19. As of May 2023, this paper contains the most recent data made accessible.

A systematic review and meta-analysis of randomized controlled trials with trial sequence analysis of remdesivir for COVID-19 treatment

Remdesivir is one of the proposed therapies for the corona virus disease 2019 (COVID-19). To assess the effect of remdesivir on mortality, need for invasive mechanical ventilation (IMV) and extracorporeal membrane oxygenation (ECMO), time to clinical improvement, and significant adverse effects. The study protocol was prospectively registered with The International Prospective Register of Systematic Reviews (Registration #CRD42021283221). Randomized controlled trials (RCTs) published in English detailing use of remdesivir in hospitalized patients with COVID-19 were included. Primary outcome was in hospital mortality among patients receiving remdesivir. Secondary outcomes were need for IMV and ECMO, time to clinical recovery, and significant adverse effects associated with remdesivir. Odds ratios (ORs) of worse outcome with 95% confidence interval (CI) in a forest plot were used to show the results of random effects meta-analysis. Remdesivir and placebo had similar in hospital mortality in the pooled analysis of five RCTs (OR: 0.93, 95% CI: 0.82-1.06). The remdesivir group needed less IMV/ECMO (OR: 0.59, 95% CI: 0.46-0.76) and recovered 1.06 days faster than placebo. Remdesivir did not affect transaminitis or renal damage. Trial sequence analysis showed that death has not reached the number of instances needed to predict futility. This meta-analysis shows that remdesivir therapy for COVID-19 is not associated with a mortality benefit. However, there is significant reduction in the need for IMV/ECMO.

Simultaneous LC-MS/MS method for the quantitation of Azithromycin, Hydroxychloroquine and its metabolites in SARS-CoV-2(-/ +) populations using dried blood spots

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) led to a global pandemic of coronavirus disease 2019 (COVID-19). Early in the pandemic, efforts were made to test the SARS-CoV-2 antiviral efficacy of repurposed medications that were already approved and available for other indications, including hydroxychloroquine (HCQ) and azithromycin (AZI). To reduce the risk of SARS-CoV-2 exposure for clinical-trial study participants and to conform with lockdowns and social distancing guidelines, biospecimen collection for HCQ and AZI included at-home dried blood spot (DBS) collection rather than standard venipuncture by trained clinicians. In this study, we developed and validated the first sensitive and selective simultaneous LC-MS/MS method to accurately quantitate the concentration of HCQ, HCQ metabolites (Desethylchloroquine [DCQ], Bisdesethylchloroquine [BDCQ], Monodesethylhydroxychloroquine [DHCQ]) and AZI extracted from DBS. The validated method was successfully applied for the quantification of over 2000 DBS specimens to evaluate the pharmacokinetic profile of AZI, HQC, and its metabolites. This new method has a small sample volume requirement (~ 10 µL), results in high sensitivity (1 ng/mL), and would facilitate remotely conducted therapeutic drug monitoring.

Linking coastal environmental and health observations for human wellbeing

Coastal areas have long been attractive places to live, work, and recreate and remain so even in the face of growing threats from global environmental change. At any moment, a significant portion of the human population is exposed to both positive and negative health effects associated with coastal locations. Some locations may be "hotspots" of concern for human health due to ongoing climatic and other changes, accentuating the need for better understanding of coastal environment-human health linkages. This paper describes how environmental and health data could be combined to create a coastal environmental and human health observing system. While largely based on information from the US and Europe, the concept should be relevant to almost any coastal area. If implemented, a coastal health observing system would connect a variety of human health data and environmental observations for individuals and communities, and where possible cohorts. Health data would be derived from questionnaires and other personal sources, clinical examinations, electronic health records, wearable devices, and syndromic surveillance, plus information on vulnerability and health-relevant community characteristics, and social media observations. Environmental data sources would include weather and climate, beach and coastal conditions, sentinel species, occurrences of harmful organisms and substances, seafood safety advisories, and distribution, proximity, and characteristics of health-promoting green and blue spaces. Where available, information on supporting resources could be added. Establishment of a linked network of coastal health observatories could provide powerful tools for understanding the positive and negative health effects of coastal living, lead to better health protections and enhanced wellbeing, and provide significant benefits to coastal residents, including the historically disadvantaged, as well as the military, hospitals and emergency departments, academic medical, public health, and environmental health programs, and others. Early networks could provide best practices and lessons learned to assist later entries.

Impact and management of COVID-19 in liver transplant candidates and recipients

The COVID-19 outbreak has had severe consequences for global public health, medical communities, and the socioeconomic status of a considerable number of countries. The emergence of COVID-19 has also significantly impacted the world of liver transplantation (LT). Studies from transplantation centers around the world have shown that LTs during the COVID-19 pandemic have been restricted because of the high risk of serious COVID-19 infection in this population. According to the Centers for Disease Control and Prevention, patients with liver disease are considered at higher risk for severe COVID-19 infection. In March 2020, the American Association for the Study of Liver Diseases recommended that LT should be limited to emergency cases. The COVID-19 treatment guidelines published by the National Institutes of Health are being constantly updated according to new epidemiology trends and treatment regimens. Immunocompromised patients have a higher risk of developing severe disease or death from COVID-19 compared with the general population. In this review, we summarize the available evidence regarding treatment guidelines and considerations for the evaluation and management of LT candidates and recipients in the era of COVID-19. In addition, we present data regarding COVID-19 among LT patients in our local transplantation center.

Identification of human genetic variants modulating the course of COVID-19 infection with importance in other viral infections

Introduction: COVID-19 has been a major focus of scientific research since early 2020. Due to its societal, economic, and clinical impact worldwide, research efforts aimed, among other questions, to address the effect of host genetics in susceptibility and severity of COVID-19. Methods: We, therefore, performed next-generation sequencing of coding and regulatory regions of 16 human genes, involved in maintenance of the immune system or encoding receptors for viral entry into the host cells, in a subset of 60 COVID-19 patients from the General Hospital Tešanj, Bosnia and Herzegovina, classified into three groups of clinical conditions of different severity ("mild," "moderate," and "severe"). Results: We confirmed that the male sex and older age are risk factors for severe clinical picture and identified 13 variants on seven genes (CD55, IL1B, IL4, IRF7, DDX58, TMPRSS2, and ACE2) with potential functional significance, either as genetic markers of modulated susceptibility to SARS-CoV-2 infection or modifiers of the infection severity. Our results include variants reported for the first time as potentially associated with COVID-19, but further research and larger patient cohorts are required to confirm their effect. Discussion: Such studies, focused on candidate genes and/or variants, have a potential to answer the questions regarding the effect of human genetic makeup on the expected infection outcome. In addition, loci we identified here were previously reported to have clinical significance in other diseases and viral infections, thus confirming a general, broader significance of COVID-19-related research results following the end of the pandemic period.

Retrospective Study on the Impact of COVID-19 Lockdown on Patients with Type 2 Diabetes in Northern Taiwan

Background

During the COVID-19 pandemic, the national lockdown had a significant impact on healthcare systems and diabetes management. The results of relevant studies were inconsistent. The aim of the study was to investigate the impact of lockdown on glycemic control among patients with type 2 diabetes mellitus(T2D) in Taiwan.

Methods

This was a retrospective study conducted in a single regional hospital in Northern Taiwan. The clinic characteristics of the patients were summarized. Anthropometric and biochemical data before and after the lockdown were collected and analyzed. Stepwise multiple regression analysis was performed to identify the independent determinants of variables, including baseline characteristics and laboratory parameters, for the changes in glycated hemoglobin(HbA1c).

Results

A total of 943 (females 48.5%) patients with T2D were enrolled. The mean age of the patients was 60.6±12.3years, with a mean HbA1c of 7.0±1.0%, a mean diabetes duration of 7.3±4.6years, and a mean body mass index(BMI) of 26.5±4.5kg/m2. The overall means of HbA1c and fasting blood glucose were significantly improved after the lockdown compared to before (7.0±1.0 vs 6.8±0.9, p<0.001 and 132.2±33.3 vs 124.4±30.0, p<0.001, respectively). The proportion of patients achieving HbA1c target (≤7%) was higher after the lockdown compared to before (61.5% vs 68.9%, p<0.001). Stepwise multiple regression analysis revealed that baseline HbA1c before the lockdown was a positive contributor to the change in HbA1c after the lockdown, whereas BMI and co-morbidity with dyslipidemia were negative contributors (standardized coefficient +0.16, p<0.001; -0.07, p=0.025; -0.12, p=0.001, respectively).

Conclusion

Our study highlights the benefits of lockdown measures on diabetic control in Northern Taiwan as a single-center experience with the improvement of HbA1c and fasting blood glucose. Understanding these consequences of national lockdown can help healthcare providers to improve diabetes care during the pandemic.

Factors Associated with Pneumonia in Patients Hospitalized with COVID-19 and the Role of Vaccination

Patients with COVID-19 can develop different forms of the illness with more or less severe symptoms. A 2-year retrospective cohort study was conducted to evaluate the factors associated with the development of pneumonia in patients hospitalized with COVID-19 from March 2020 to February 2022. A total of 385 patients (59.0% males) with a mean age of 69.0 ± 16.0 years were included. At hospital admission, 318 patients (82.6%) reported one or more comorbidities, namely 201 (52.2%) subjects were affected by hypertension, 98 (25.5%) type 2 diabetes, 84 (21.8%) obesity, 36 (9.4%) cancer, and 14 (3.6%) suffered from kidney disease and were being treated with dialysis, and 76 (19.7%) resulted in being vaccinated with a higher prevalence of BNT162b2 vaccine (15.0%). Pneumonia was diagnosed in 276 (71.7%) patients. Multivariate regression analysis showed that pneumonia in COVID-19 patients was positively associated with type 2 diabetes (OR 1.81; 95% CI 1.00-3.27), obesity (OR 2.52; 95% CI 1.27-4.98), and negatively with hypertension (OR 0.58; 95% CI 0.35-0.96). Vaccination against SARS-CoV-2 resulted in a strongly protective factor against the development of pneumonia in COVID-19 patients (OR 0.49; 95% CI 0.28-0.85).

Staying Home, Tweeting Hope: Mixed Methods Study of Twitter Sentiment Geographical Index During US Stay-At-Home Orders

BACKGROUND

Stay-at-home orders were one of the controversial interventions to curb the spread of COVID-19 in the United States. The stay-at-home orders, implemented in 51 states and territories between March 7 and June 30, 2020, impacted the lives of individuals and communities and accelerated the heavy usage of web-based social networking sites. Twitter sentiment analysis can provide valuable insight into public health emergency response measures and allow for better formulation and timing of future public health measures to be released in response to future public health emergencies.

OBJECTIVE

This study evaluated how stay-at-home orders affect Twitter sentiment in the United States. Furthermore, this study aimed to understand the feedback on stay-at-home orders from groups with different circumstances and backgrounds. In addition, we particularly focused on vulnerable groups, including older people groups with underlying medical conditions, small and medium enterprises, and low-income groups.

METHODS

We constructed a multiperiod difference-in-differences regression model based on the Twitter sentiment geographical index quantified from 7.4 billion geo-tagged tweets data to analyze the dynamics of sentiment feedback on stay-at-home orders across the United States. In addition, we used moderated effects analysis to assess differential feedback from vulnerable groups.

RESULTS

We combed through the implementation of stay-at-home orders, Twitter sentiment geographical index, and the number of confirmed cases and deaths in 51 US states and territories. We identified trend changes in public sentiment before and after the stay-at-home orders. Regression results showed that stay-at-home orders generated a positive response, contributing to a recovery in Twitter sentiment. However, vulnerable groups faced greater shocks and hardships during the COVID-19 pandemic. In addition, economic and demographic characteristics had a significant moderating effect.

CONCLUSIONS

This study showed a clear positive shift in public opinion about COVID-19, with this positive impact occurring primarily after stay-at-home orders. However, this positive sentiment is time-limited, with 14 days later allowing people to be more influenced by the status quo and trends, so feedback on the stay-at-home orders is no longer positively significant. In particular, negative sentiment is more likely to be generated in states with a large proportion of vulnerable groups, and the policy plays a limited role. The pandemic hit older people, those with underlying diseases, and small and medium enterprises directly but hurt states with cross-cutting economic situations and more complex demographics over time. Based on large-scale Twitter data, this sociological perspective allows us to monitor the evolution of public opinion more directly, assess the impact of social events on public opinion, and understand the heterogeneity in the face of pandemic shocks.

FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas

A new artificial intelligence-based approach is proposed by developing a deep learning (DL) model for identifying the people who violate the face mask protocol in public places. To achieve this goal, a private dataset was created, including different face images with and without masks. The proposed model was trained to detect face masks from real-time surveillance videos. The proposed face mask detection (FMDNet) model achieved a promising detection of 99.0% in terms of accuracy for identifying violations (no face mask) in public places. The model presented a better detection capability compared to other recent DL models such as FSA-Net, MobileNet V2, and ResNet by 24.03%, 5.0%, and 24.10%, respectively. Meanwhile, the model is lightweight and had a confidence score of 99.0% in a resource-constrained environment. The model can perform the detection task in real-time environments at 41.72 frames per second (FPS). Thus, the developed model can be applicable and useful for governments to maintain the rules of the SOP protocol.

Characteristics of re-admitted adult patients infected with severe acute respiratory syndrome Coronavirus 2 After initial hospitalization at King Salman Armed Forces Hospital, Tabuk, Saudi Arabia

OBJECTIVES

To describe the clinical characteristics and possible risk factors associated with re-hospitalization within 30 days of discharge among hospitalized adult patients with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

METHODS

This is a retrospective cohort study conducted at King Salman Armed Forces Hospital (KSAFH), Tabuk, Saudi Arabia over the period between March to November 2020. The study was conducted over 237 patients who had confirmed SARS-CoV-2 and fulfilled the study inclusion criteria (at least 14 years old, with subsequently discharged alive from the hospital) were included.

RESULTS

The commonest presenting symptoms were cough, fever, and dyspnea. The most frequent reported comorbid diseases were diabetes mellitus and hypertension. Half of cases were regarded as severe cases whereas 14.8% were critical cases. The rate of readmission was 5.9%. Older patients were more likely to be readmitted compared to younger patients. Regarding clinical characteristics, critically ill patients were more likely to be readmitted than less severe cases. Patients with unilateral lung shadow in chest x-ray, and those with positive history of Intensive care unit (ICU) admission were more likely to be readmitted compared to their peers. Regarding medical history, the only factor significantly associated with readmission were history of cerebrovascular accident (CVA), as 22.2% of those with CVA history compared to only 1.5% of those without CVA history were more likely to be readmitted. Among laboratory findings, high lymphocytic count (>3 per microliter) was significantly associate with likelihood for readmission.

CONCLUSION

Readmission rate or patients hospitalization initially for Covid-19 was comparable to rates reported by most of other similar international studies. Further longitudinal larger multicentric study is warranted to have clearer image of the situation.

Evaluation of Maternal and Fetal Outcomes in Pregnant Women with COVID-19 based on Different Trimesters

Background

COVID-19 is the leading cause of the recent pandemic in the globe. This disease might have different effects on the maternal and fetal outcomes in pregnancy. The aim of this study was to assess these outcomes in pregnant women with COVID-19 infections in different trimesters.

Materials and Methods

This is a prospective cohort study that was performed in February 2020 to August 2021 in Isfahan on 430 pregnant women with definite diagnosis of COVID-19 infection admitted to our medical centers. The included cases were followed based on the gestational age in which they were diagnosed with COVID-19 infection. Patients were divided into three groups (first, second, and third trimesters) based on COVID-19 infection.

Results

The frequency of requiring mechanical ventilation was higher in mothers with COVID-19 in the second trimester (P = 0.049) and the frequency of PIH was significantly higher in mothers with COVID-19 in the third trimester compared to other women (P = 0.009). Fetal growth restriction (FGR) was also observed in 22 patients (5.3%) that was mostly observed with COVID-19 in the third trimester (P = 0.012). Oligohydramnios and fetal distress leading to C/S were observed in 19 patients (4.6%) and 12 patients (2.9%), respectively. The majority of maternal mortality was among cases with COVID-19 infection in the third trimester (44.4%).

Conclusion

We observed higher maternal and fetal complications in women especially those in the third trimester. Our results were in line with the findings of previous studies. Women with COVID-19 infection in the third trimester had highest frequencies of preterm labor and FGR.

Spatial Multiplexing of Whispering Gallery Mode Sensors

Whispering gallery mode resonators have proven to be robust and sensitive platforms for the trace detection of chemical and/or biological analytes. Conventional approaches using serially addressed resonators face challenges in simultaneous multi-channel (i.e., multi-species) detection. We present an alternative monitoring scheme that allows for the spatial multiplexing of whispering gallery mode resonators with the simultaneous observation of the resonance spectra from each of them. By imaging arrays of microspheres and monitoring the glare spot intensities through image processing routines, resonance spectra from multiple resonators may be simultaneously recorded without interference or confounding effects of serial excitation/detection. We demonstrate our multiplexed imaging approach with bulk refractive index variations and virus-antibody binding.

A simulation of undiagnosed population and excess mortality during the COVID-19 pandemic

Whereas the extent of outbreak of COVID-19 is usually accessed via the number of reported cases and the number of patients succumbed to the disease, the officially recorded overall excess mortality numbers during the pandemic waves, which are significant and often followed the rise and fall of the pandemic waves, put a question mark on the above methodology. Gradually it has been recognized that estimating the size of the undiagnosed population (which includes asymptomatic cases and symptomatic cases but not reported) is also crucial. Here we used the classical mathematical SEIR model having an additional compartment, that is the undiagnosed group in addition to the susceptible, exposed, diagnosed, recovered and deceased groups, to link the undiagnosed COVID-19 cases to the reported excess mortality numbers and thereby try to know the actual size of the disease outbreak. The developed model wase successfully applied to relevant COVID-19 waves in USA (initial months of 2020), South Africa (mid of 2021) and Russia (2020–21) when a large discrepancy between the reported COVID-19 mortality and the overall excess mortality had been noticed.

Knowledge and acceptance of COVID-19 vaccine among healthcare workers in Enugu metropolis, Enugu state, Nigeria

Background

COVID-19 disease spread at an alarming rate, and was declared a pandemic within 5 months from the first reported case. As vaccines have become available, there was a global effort to attain about 75% herd immunity through vaccination. There is a need to address the issue of vaccine hesitancy to COVID-19 vaccines especially in places such as Sub-Saharan African countries which have a high rate of background vaccine hesitancy.

Objective

To determine the knowledge and acceptance of COVID-19 vaccines among healthcare workers (HCWs) in Enugu metropolis.

Methods

A cross-sectional descriptive study of 103 HCWs in Enugu metropolis was done. Data was collected using structured online Google forms. Descriptive and inferential statistics was done using SPSS, and results were summarized into percentages and associations.

Results

An acceptance rate of 56.2% was obtained among HCWs in Enugu metropolis. Positive predicators of acceptance include older age (p = 0.004, X² = 13.161), marriage (p = 0.001, X² = 13.996), and higher average level of income (p = 0.013, X² = 10.766) as significant correlations were found. No significant association was found between educational level, religion, denomination nor occupation, and acceptance of vaccine. The major factor responsible for refusal was fear of side-effects.

Discussion

The acceptance rate of COVID-19 vaccines among HCWs is still less than optimal. This population represents the most enlightened population on health related matters, hence if acceptance rate remains merely average that in the general population is expected to be worse. There is a need to address the fear of vaccine side-effects by inculcating more open and interactive methods of information dissemination, while also addressing the misconceptions or myths surrounding COVID-19 vaccines.

The impact of ACE2 polymorphisms (rs1978124, rs2285666, and rs2074192) and ACE1 rs1799752 in the mortality rate of COVID-19 in different SARS-CoV-2 variants

BACKGROUND

Clinical severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outcomes could be influenced by genetic polymorphisms in angiotensin I-converting enzyme (ACE1) and ACE2. This study aims to examine three polymorphisms (rs1978124, rs2285666, and rs2074192) on the ACE2 gene and ACE1 rs1799752 (I/D) in patients who have coronavirus disease 2019 (COVID-19) with various SARS-CoV-2 variants.

METHODS

Based on polymerase chain reaction-based genotyping, four polymorphisms in the ACE1 and ACE2 genes have been identified in 2023 deceased patients and 2307 recovered patients.

RESULTS

The ACE2 rs2074192 TT genotype was associated with the COVID-19 mortality in all three variants, whereas the CT genotype was associated with the Omicron BA.5 and Delta variants. ACE2 rs1978124 TC genotypes were related to COVID-19 mortality in the Omicron BA.5 and Alpha variants, but TT genotypes were related to COVID-19 mortality in the Delta variant. It was found that ACE2 rs2285666 CC genotypes were associated with COVID-19 mortality in Delta and Alpha variants, and CT genotypes in Delta variants. There was an association between ACE1 rs1799752 DD and ID genotypes in the Delta variant and COVID-19 mortality, whereas there was no association in the Alpha or Omicron BA.5 variants. In all variants of SARS-CoV-2, CDCT and TDCT haplotypes were more common. In Omicron BA.5 and Delta, CDCC and TDCC haplotypes were linked with COVID-19 mortality. In addition to COVID-19 mortality, the CICT, TICT, and TICC were significantly correlated.

CONCLUSION

The ACE1/ACE2 polymorphisms had an impact on COVID-19 infection, and these polymorphisms had different effects in various SARS-CoV-2 variants. To confirm these results, however, more research needs to be conducted.

Development of a carpark cardiac implantable electronic device clinic to improve time efficiency and patient satisfaction in the context of restrictions imposed by the COVID-19 pandemic

INTRODUCTION

We evaluated time efficiency and patient satisfaction of a "car park clinic" (CPC) compared to traditional face-to-face (F2F) during the COVID-19 pandemic.

METHODS

Consecutive patients attending CPC between September 2020 and November 2021 were surveyed. CPC time was recorded by staff. F2F time was reported by patients and administrative data.

RESULTS

A total of 591 patients attended the CPC. A total of 176 responses were collected for F2F clinic. Regarding satisfaction, 90% of CPC patients responded "happy" or "very happy." 96% reported feeling "safe" or "very safe." Patients spent significantly less time in CPC compared to F2F (17 ± 8 vs. 50 ± 24 min, p < .001).

CONCLUSION

CPC had excellent patient satisfaction and superior time efficiency compared to F2F.

Transcatheter Arterial Embolization (TAE) in the Management of Bleeding in the COVID-19 Patient

Background and Objectives: Increasing attention is being paid to the coagulation disorders associated with SARS-CoV-2 infection. Bleeding accounts for 3-6% of COVID-19 patient deaths, and is often a forgotten part of the disease. The bleeding risk is enhanced by several factors, including spontaneous heparin-induced thrombocytopenia, thrombocytopenia, the hyperfibrinolytic state, the consumption of coagulation factors, and thromboprophylaxis with anticoagulants. This study aims to assess the efficacy and safety of TAE in the management of bleeding in COVID-19 patients. Materials and Methods: This multicenter retrospective study analyzes data from COVID-19 patients subjected to transcatheter arterial embolization for the management of bleeding from February 2020 to January 2023. Results: Transcatheter arterial embolization was performed in 73 COVID-19 patients for acute non-neurovascular bleeding during the study interval (February 2020-January 2023). Coagulopathy was observed in forty-four (60.3%) patients. The primary cause of bleeding was spontaneous soft tissue hematoma (63%). A 100% technical success rate was recorded; six cases of rebleeding resulted in a 91.8% clinical success rate. No cases of non-target embolization were observed. Complications were recorded in 13 (17.8%) patients. The efficacy and safety endpoints did not differ significantly between the coagulopathy and non-coagulopathy groups. Conclusions: Transcatheter Arterial Embolization (TAE) is an effective, safe and potentially life-saving option for the management of acute non-neurovascular bleeding in COVID-19 patients. This approach is effective and safe even in the subgroup of COVID-19 patients with coagulopathy.

Addressing mental health, misinformation, & religious tensions among South Asian students across California higher education during the COVID-19 pandemic: A qualitative research study

Background

South Asian Americans comprise one of the fastest-growing ethnic groups in the US. Nevertheless, the scientific literature on the experiences of South Asian students is lacking, where often studies focused on Asian Americans exclude South Asians altogether. South Asian students have unique experiences in California higher education, often having to cope with high pressure to perform academically and various social responsibilities associated with being first-, second-, or third-generation American.Many South Asian countries have been more severely affected by COVID-19 due to the density of people living in close proximity to one another. Students of South Asian origin worry for their families overseas, especially as the COVID-19 pandemic has impacted populations there to a more considerable extent.

Methodology

This was a qualitative research study conducted using in-depth interviews with 25 students who identified as South Asian and were currently enrolled in higher education in California at the time they were interviewed. Ads were placed on social media networks, such as Facebook and Twitter, and participation in the study was voluntary. Students were chosen randomly to avoid bias. Study participants described their experiences navigating higher education throughout the ongoing COVID-19 pandemic in relation to their social, economic, cultural, and political spheres. Interviews were mainly conducted through Zoom, some through emails or phone calls. All participants will remain anonymous to protect the identities of students.This project sought to understand the experiences of South Asian students as they navigate the new normal amidst a global crisis. Qualitative responses were indexed by themes, with South Asian students reporting a relationship between the pandemic and worsened academic experiences, issues of exacerbated mental health, the spread of misinformation, and increased religious tensions.This research reflects pragmatism, and the findings of this paper are coupled with suggested recommendations to ameliorate pandemic related issues for future South Asian students. The project was conducted through both inductive and qualitative approaches. The research strategy is action research, and the research was meant to shine a light on issues South Asian students face and help university administrations understand how to better support students during a pandemic. The time horizon is cross-sectional. The research focuses on COVID-19 in relation to South Asian students' performance and health.At 25 participants, data saturation was reached. Further participants were not needed as the qualitative research data was sufficient to draw conclusions from. The research was deemed to pose no risk to students; therefore, approval from an ethical committee was not sought. All participants signed consent forms in order to participate.Follow-up interviews were conducted to address students' experiences with family in India experiencing the B.167.2 variant and the transition back to in-person learning following virtual schooling.

Conclusions/significance

South Asian students in higher education bear a unique set of responsibilities in addition to the already rigorous coursework associated with college. However, the stresses and health of South Asian students often go understudied or overlooked. This research serves to begin to fill in the gaps in literature of South Asian experiences in higher education.The pandemic posed additional challenges for students, who lost access to their campus communities with university education going virtual, and many South Asian students had to move back home. Through this qualitative research study analyzing the experiences of South Asians enrolled in California higher education, it can be concluded that there is a relationship between the COVID-19 pandemic and students' academic performance, mental health, as well as an increase in the amount of misinformation spread regarding COVID-19 public safety guidelines.

Assessing the Effect of the U.S. Vaccination Program on the Coronavirus Positivity Rate With a Multivariate Framework

The factors influencing the incidence of COVID-19, including the impact of the vaccination programs, have been studied in the literature. Most studies focus on one or two factors, without considering their interactions, which is not enough to assess a vaccination program in a statistically robust manner. We examine the impact of the U.S. vaccination program on the SARS-CoV-2 positivity rate while simultaneously considering a large number of factors involved in the spread of the virus and the feedbacks among them. We consider the effects of the following sets of factors: socioeconomic factors, public policy factors, environmental factors, and non-observable factors. A time series Error Correction Model (ECM) was used to estimate the impact of the vaccination program at the national level on the positivity rate. Additionally, state-level ECMs with panel data were combined with machine learning techniques to assess the impact of the program and identify relevant factors to build the best-fitting models. We find that the vaccination program reduced the virus positivity rate. However, the program was partially undermined by a feedback loop in which increased vaccination led to increased mobility. Although some external factors reduced the positivity rate, the emergence of new variants increased the positivity rate. The positivity rate was associated with several forces acting simultaneously in opposite directions such as the number of vaccine doses administered and mobility. The existence of complex interactions, between the factors studied, implies that there is a need to combine different public policies to strengthen the impact of the vaccination program.

COVID-19 Vaccines and Atrial Fibrillation: Analysis of the Post-Marketing Pharmacovigilance European Database

Atrial fibrillation (AF) has been described in COVID-19 patients. Recently, some case reports and US pharmacovigilance analyses described AF onset as a rare adverse event following COVID-19 vaccination. The possible correlation is unclear. We systematically analyzed the reports of AF related to COVID-19 vaccines collected in the European pharmacovigilance database, EudraVigilance (EV), from 2020 to November 2022. We carried out descriptive and disproportionality analyses. Moreover, we performed a sensitivity analysis, excluding the reports describing other possible alternative AF causes (pericarditis, myocarditis, COVID-19, or other drugs that may cause/exacerbate AF). Overall, we retrieved 6226 reports, which represented only 0.3% of all those related to COVID-19 vaccines collected in EV during our study period. AF reports mainly referred to adults (in particular, >65 years old), with an equal distribution in sex. Reports were mainly related to tozinameran (54.04%), elasomeran (28.3%), and ChAdOx1-S (14.32%). The reported AF required patient hospitalization in 35% of cases and resulted in a life-threatening condition in 10% of cases. The AF duration (when reported) was highly variable, but the majority of the events had a short duration (moda = 24 h). Although an increased frequency of AF reporting with mRNA vaccines emerges from our study, other investigations are required to investigate the possible correlation between COVID-19 vaccination and the rare AF occurrence.

Pandemic upon Pandemic: Middle-Aged and Older Men Who Have Sex with Men Living with HIV Coping and Thriving during the Peak of COVID-19

When the COVID-19 pandemic emerged in early 2020, not only did it abruptly impede the progress that was being made toward achieving global targets to end the HIV pandemic, but it also created significant impacts on the physical and mental health of middle-aged and older men who have sex with men living with HIV. Utilizing a qualitative, community-based participatory research approach, we conducted semi-structured, one-on-one interviews with 16 ethnoracially diverse, middle-aged and older men who have sex with men living with HIV residing in Southern Nevada, to examine the different ways the COVID-19 pandemic directly impacted their physical and mental health, and explore how they eventually coped and thrived during the peak of the crisis. Using thematic analysis to analyze our interview data, we identified three prominent themes: (1) challenges to obtaining credible health information, (2) the physical and mental health impacts of the COVID-19-pandemic-imposed social isolation, and (3) digital technologies and online connections for medical and social purposes. In this article, we extensively discuss these themes, the current discourse on these themes in academic literature, and how the perspectives, input, and lived experiences of our participants during the peak of the COVID-19 pandemic could be critical to addressing issues they had already been experiencing prior to the emergence of the pandemic in 2020, and just as importantly, helping us best prepare in stark anticipation of the next potentially devastating pandemic.

Early COVID-19 Home-Based Care Knowledge and Efficacies: Comparing Ghanaian and US Respondents

Home-based care messages were part of behavioral modification interventions to mitigate COVID-19 spread early in the pandemic. What remains unclear is the types of home-based care knowledge people have and whether different kinds of home-based care knowledge influence a person's self-efficacy and response efficacy in managing mild cases. Using a cross-sectional online survey, this exploratory study investigated differences in biomedical and alternative knowledge about COVID-19 home-based care and their association with self and response efficacy from respondents in Ghana and the US. With a total sample of 736 made up of 50.3% from Ghana and 49.7% from the US, the average age range was of 39-48 years. Sixty two percent were females and 38% males. Using chi-square goodness of fit tests, t-tests, and multiple regression for analysis, we found that US respondents had higher biomedical knowledge while Ghanaian respondents had higher alternative knowledge. Although self-efficacy and response efficacy were high in both countries, both kinds of knowledge did not independently improve respondents' self-efficacy or response efficacy. However, a combination of biomedical and alternative home-based care knowledge items predicted self and response efficacy. Health promoters need to consider ways of utilizing both knowledge types in a complimentary manner during disease outbreaks.

Double Trouble Co-Infections: Understanding the Correlation Between COVID-19 and HIV Viruses

A global outbreak of coronavirus disease 2019 (COVID-19), an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), mounted a substantial threat to public health worldwide. It initially emerged as a mere outbreak in Wuhan, China, in December 2019 and quickly engulfed the entire world, evolving into a global pandemic, consuming millions of lives and leaving a catastrophic effect on our lives in ways unimaginable. The entire healthcare system was significantly impacted and HIV healthcare was not spared. In this article, we reviewed the effect of HIV on COVID-19 disease and the ramifications of the recent COVID-19 pandemic over HIV management strategies. Our review highlights that contrary to the instinctive belief that HIV should render patients susceptible to COVID-19 infection, the studies depicted mixed results, although comorbidities and other confounders greatly affected the results. Few studies showed a higher rate of in-hospital mortality due to COVID-19 among HIV patients; however, the use of antiretroviral therapy had no consequential effect. COVID-19 vaccination was deemed safe among HIV patients in general. The recent pandemic can destabilize the HIV epidemic control as it hugely impacted access to care and preventive services and led to a marked reduction in HIV testing. The collision of these two disastrous pandemics warrants the need to materialize rigorous epidemiological measures and health policies, but most importantly, brisk research in prevention strategies to mitigate the combined burden of the two viruses and to battle similar future pandemics.

Do COVID-19 pandemic-related policy shocks flatten the bid-rent curve? Evidence from real estate markets in Shanghai

The COVID-19 pandemic has drastically affected the socioeconomic activities and peoples' daily life, resulting in a change in locational preferences in the real estate markets. Although enormous efforts have been devoted to examining the housing price impacts of the COVID-19 pandemic, little is known about the responses of the real estate markets to the evolving pandemic control measures. This study investigates the price gradient effects of various pandemic-related policy shocks using a hedonic price model on the district-level property transaction data in Shanghai, China over a 48-month period from 2018 to 2021. We found that these shocks have significantly altered the bid-rent curves. The price gradient for residential property units decreased in absolute value to - 0.433 after Wuhan's lockdown, demonstrating peoples' preferences to avoid the high infection risks in districts closer to the city center. However, in the post-reopening and post-vaccine periods, the price gradient increased to - 0.463 and - 0.486, respectively, implying rational expectations of a recovering real estate market for the low infection and mortality rates. In addition, we discovered that Wuhan's lockdown has steepened the price gradient for commercial property units, suggesting a decline in business volumes and an increase in operating costs in the low-density districts imposed by the strict pandemic control measures. This study contributes to the empirical literature on the price gradient effects of the COVID-19 pandemic by extending the study period to the post-vaccine era.

Immune Imprinting and Implications for COVID-19

Immunological memory is the key source of protective immunity against pathogens. At the current stage of the COVID-19 pandemic, heterologous combinations of exposure to viral antigens during infection and/or vaccination shape a distinctive immunological memory. Immune imprinting, the downside of memory, might limit the generation of de novo immune response against variant infection or the response to the next-generation vaccines. Here, we review mechanistic basis of immune imprinting by focusing on B cell immunobiology and discuss the extent to which immune imprinting is harmful, as well as its effect on SARS-CoV-2 infection and vaccination.

The critical role of engineering in the rapid development of COVID-19 diagnostics: Lessons from the RADx Tech Test Verification Core

Engineering plays a critical role in the development of medical devices, and this has been magnified since 2020 as severe acute respiratory syndrome coronavirus 2 swept over the globe. In response to the coronavirus disease 2019, the National Institutes of Health launched the Rapid Acceleration of Diagnostics (RADx) initiative to help meet the testing needs of the United States and effectively manage the pandemic. As the Engineering and Human Factors team for the RADx Tech Test Verification Core, we directly assessed more than 30 technologies that ultimately contributed to an increase of the country's total testing capacity by 1.7 billion tests to date. In this review, we present central lessons learned from this "apples-to-apples" comparison of novel, rapidly developed diagnostic devices. Overall, the evaluation framework and lessons learned presented in this review may serve as a blueprint for engineers developing point-of-care diagnostics, leaving us better prepared to respond to the next global public health crisis rapidly and effectively.

Mechanical Complication of Acute Myocardial Infarction Secondary to COVID-19 Disease

The aggressive inflammatory response to COVID-19 can result in airway damage, respiratory failure, cardiac injury, and multiorgan failure, which lead to death in susceptible patients. Cardiac injury and acute myocardial infarction (AMI) secondary to COVID-19 disease can lead to hospitalization, heart failure, and sudden cardiac death. When serious collateral damage from tissue necrosis or bleeding occurs, mechanical complications of myocardial infarction and cardiogenic shock can ensue. While prompt reperfusion therapies have decreased the incidence of these serious complications, patients who present late following the initial infarct are at increased for mechanical complications, cardiogenic shock, and death. The health outcomes for patients with mechanical complications are dismal if not recognized and treated promptly. Even if they survive serious pump failure, their CICU stay is often prolonged, and their index hospitalization and follow-up visits may consume significant resources and impact the health care system.

Subversion of autophagy machinery and organelle-specific autophagy by SARS-CoV-2 and coronaviruses

As a new emerging severe coronavirus, the knowledge on the SARS-CoV-2 and COVID-19 remains very limited, whereas many concepts can be learned from the homologous coronaviruses. Macroautophagy/autophagy is finely regulated by SARS-CoV-2 infection and plays important roles in SARS-CoV-2 infection and pathogenesis. This review will explore the subversion and mechanism of the autophagy-related machinery, vacuoles and organelle-specific autophagy during infection of SARS-CoV-2 and coronaviruses to provide meaningful insights into the autophagy-related therapeutic strategies for infectious diseases of SARS-CoV-2 and coronaviruses.