Abstract Background: Teenage pregnancy rates have globally decreased over the years, but remain high, especially in low- and middle-income countries (LMICs). Among girls aged 15-19, teenage pregnancy remains the leading cause of death and a significant barrier to education and productivity. Its prevalence underscores concern about the sexual and reproductive health of youth. However, limited data exist regarding factors contributing to its rise during the COVID-19 pandemic in Uganda. This study explores the factors associated with teenage pregnancy in Pakwach district during this period. Methods: We conducted a matched case-control study, enrolling 362 teenage girls aged 10-19 years, divided into two groups: 181 pregnant teenagers and 181 not pregnant teenagers. We collected exposure data from both groups using questionnaires to evaluate factors associated with teenage pregnancy. The study period covered March 2020 to January 2021, coinciding with lockdown measures. Results: During the COVID-19 lockdown, teenage pregnancies were only associated with having exclusively female peers (AOR 3.0, 95% CI: 0.1-104.4). Conversely, having a Radio/TV at home (AOR 0.2, 95% CI: 0.1-0.6), age at first sexual encounter (AOR 0.1, 95% CI: 0.03-0.9), considering teenage pregnancy as sexual abuse (AOR 0.1, 95% CI: 0.02-0.4), feeling comfortable asking questions during consultations (AOR 0.5, 95% CI: 0.2-1.3), and ensuring sufficient privacy during consultations were protective against teenage pregnancy. Conclusion: The factors contributing to increased teenage pregnancies during the COVID-19 pandemic were consistent with long-standing contextual factors associated with teenage pregnancy. The lockdown environment may have slightly exacerbated these factors, but no direct association was observed. Only having female peers was linked to teenage pregnancy during the lockdown. Conversely, having access to a radio/TV at home and other healthcare system-related factors offered protection. Therefore, interventions should prioritize providing comprehensive information on the risks of teenage pregnancy during any lockdown scenario.
Background In Scotland, the effects of the COVID-19 pandemic on women9s access to contraception are unknown. Globally, COVID-19 restrictions have led to a shift to telehealth service delivery alongside a reduction in contraceptive provision. Research into whether the effects of COVID-19 on contraception have abated after restrictions have been lifted is lacking. Methods This is a retrospective longitudinal study of prescribing data from the Scottish Health and Social Care Open Data repository (https://www.opendata.nhs.scot) between January 2016 and January 2023. Contraceptives were extracted and categorised using truncated British National Formulary codes and analysed using R. Contraceptive provision was compared across four periods: pre-COVID-19 (01/01/2016-23/03/2020), lockdown (24/03/2020-9/05/2020 & 05/01/2021-26/04/2021), restrictions (30/05/2020-04/01/2021 & 27/04/2021-30/04/2022), and post-COVID-19 (01/05/2022-01/01/2023). Results During lockdowns, contraceptive prescribing in Scotland decreased by 82.90% of pre-COVID-19 levels. This trend was more severe for long-acting reversible contraception which fell to 11.80% of pre-COVID-19 prescriptions. After COVID-19, the level of contraceptive prescribing has risen to 108.23% of its pre- pandemic level. Large increases in subcutaneous medroxyprogesterone acetate (499.05%), progestogen- only pills (125.07%), the patch (165.09%), levonorgestrel-IUS (112.54%), and ulipristal acetate emergency contraception prescribing (357.97%). Conversely, combined oral contraceptive pills (75.04%), Cu-IUD (83.63%), the implant (81.10%), and levonorgestrel emergency contraception (67.42%) prescribing has decreased. Conclusions COVID-19 vastly decreased contraceptive prescribing during lockdowns in Scotland. Post-COVID-19, changes in contraceptive prescribing within Scottish general practices are reported, with implications for health policy and service delivery planning.
Background Emerging data-driven technologies in healthcare, such as risk prediction models, hold great promise but also pose challenges regarding potential bias and exacerbation of existing health inequalities, which have been observed across diseases such as cardiovascular disease (CVD) and COVID-19. This study addresses the impact of ethnicity in risk prediction modelling for cardiovascular events following SARS-CoV-2 infection and explores the potential of ethnicity-specific models to mitigate disparities. Methods This retrospective cohort study utilises six linked datasets accessed through National Health Service (NHS) England9s Secure Data Environment (SDE) service for England, via the BHF Data Science Centre9s CVD-COVID-UK/COVID-IMPACT Consortium. Inclusion criteria were established, and demographic information, risk factors, and ethnicity categories were defined. Four feature selection methods (LASSO, Random Forest, XGBoost, QRISK) were employed and ethnicity-specific prediction models were trained and tested using logistic regression. Discrimination (AUROC) and calibration performance were assessed for different populations and ethnicity groups. Findings Several differences were observed in the models trained on the whole study cohort vs ethnicity-specific groups. At the feature selection stage, ethnicity-specific models yielded different selected features. AUROC discrimination measures showed consistent performance across most ethnicity groups, with QRISK-based models performing relatively poorly. Calibration performance exhibited variation across ethnicity groups and age categories. Ethnicity-specific models demonstrated the potential to enhance calibration performance for certain ethnic groups. Interpretation This research highlights the importance of considering ethnicity in risk prediction modelling to ensure equitable healthcare outcomes. Differences in selected features and asymmetric calibration across ethnicities underscore the necessity of tailored approaches. Ethnicity-specific models offer a pathway to addressing disparities and improving model performance. The study emphasises the role of data-driven technologies in either alleviating or exacerbating existing health inequalities. Keywords Prediction, machine learning, electronic health records, bias, ethnicity.
The severity of COVID-19 is linked to excessive inflammation. Neutrophils represent a critical arm of the innate immune response and are major mediators of inflammation, but their role in COVID-19 pathophysiology remains poorly understood. We conducted transcriptomic profiling of neutrophils obtained from patients with mild and severe COVID-19, as well as from SARS-CoV-2 infected mice, in comparison to non-infected healthy controls. In addition, we investigated the inflammasome formation potential in neutrophils from patients and mice upon SARS-CoV-2 infection. Transcriptomic analysis of polymorphonuclear cells (PMNs), consisting mainly of mature neutrophils, revealed a striking type I interferon (IFN-I) gene signature in severe COVID-19 patients, contrasting with mild COVID-19 and healthy controls. Notably, low-density granulocytes (LDGs) from severe COVID-19 patients exhibited an immature neutrophil phenotype and lacked this IFN-I signature. Moreover, PMNs from severe COVID-19 patients showed heightened nigericin-induced caspase1 activation, but reduced responsiveness to exogenous inflammasome priming. Furthermore, IFN-I emerged as a priming stimulus for neutrophil inflammasomes, which was confirmed in a COVID-19 mouse model. These findings underscore the crucial role of neutrophil inflammasomes in driving inflammation during severe COVID-19. Altogether, these findings open promising avenues for targeted therapeutic interventions to mitigate the pathological processes associated with the disease.
Introduction: The COVID-19 pandemic had large impacts on mental health; however, most existing evidence is focused on the initial lockdown period and high-income contexts. By assessing trajectories of mental health symptoms in India over two years, we aim to understand the effect of later time periods and pandemic characteristics on mental health in a lower-middle income context. Methods: We used data from the Real-Time Insights of COVID-19 in India (RTI COVID-India) cohort study (N=3,662). We used covariate-adjusted linear regression models with generalized estimating equations to assess associations between mental health (PHQ-4 score) and pandemic periods as well as pandemic characteristics (COVID-19 cases and deaths, government stringency, self-reported financial impact, COVID-19 infection in the household) and explored effect modification by age, gender, and rural/urban residence. Results: Mental health symptoms dropped immediately following the lockdown period but rose again during the delta and omicron waves. Associations between mental health and later pandemic stages were stronger for adults 45 years of age and older (p<0.001). PHQ-4 scores were significantly and independently associated with all pandemic characteristics considered, including estimated COVID-19 deaths (PHQ-4 difference of 0.041 SD units; 95% Confidence Interval 0.030 - 0.053), government stringency index (0.060 SD units; 0.048 - 0.072), self-reported major financial impacts (0.45 SD units; 0.41-0.49), and COVID-19 infection in the household (0.11 SD units; 0.07-0.16). Conclusion: While the lockdown period and associated financial stress had the largest mental health impacts on Indian adults, the effects of the pandemic on mental health persisted over time, especially among middle-age and older adults. Results highlight the importance of investments in mental health supports and services to address the consequences of cyclical waves of infections and disease burden due to COVID-19 or other emerging pandemics.
Vaccine-induced immunity may impact subsequent de novo responses to drifted epitopes in SARS-CoV-2 variants, but this has been difficult to quantify due to the challenges in recruiting unvaccinated control groups whose first exposure to SARS-CoV-2 is a primary infection. Through local, statewide, and national SARS-CoV-2 testing programs, we were able to recruit cohorts of individuals who had recovered from either primary or post-vaccination infections by either the Delta or Omicron BA.1 variants. Regardless of variant, we observed greater Spike-specific and neutralizing antibody responses in post-vaccination infections than in those who were infected without prior vaccination. Through analysis of variant-specific memory B cells as markers of de novo responses, we observed that Delta and Omicron BA.1 infections led to a marked shift in immunodominance in which some drifted epitopes elicited minimal responses, even in primary infections. Prior immunity through vaccination had a small negative impact on these de novo responses, but this did not correlate with cross-reactive memory B cells, arguing against competitive inhibition of naive B cells. We conclude that dampened de novo B cell responses against drifted epitopes are mostly a function of altered immunodominance hierarchies that are apparent even in primary infections, with a more modest contribution from pre-existing immunity, perhaps due to accelerated antigen clearance.
Background. The CDC recently defined being 9up-to-date9 on COVID-19 vaccination as having received at least one dose of a COVID-19 bivalent vaccine. The purpose of this study was to compare the risk of COVID-19 among those 9up-to-date9 and 9not up-to-date9. Methods. Employees of Cleveland Clinic in Ohio, USA, in employment when the COVID-19 bivalent vaccine first became available, and still employed when the XBB lineages became dominant, were included. Cumulative incidence of COVID-19 since the XBB lineages became dominant was compared across the 9up-to-date9 and 9not up-to-date9 states, by treating COVID-19 bivalent vaccination as a time-dependent covariate whose value changed on receipt of the vaccine. Risk of COVID-19 by vaccination status was also evaluated using multivariable Cox proportional hazards regression adjusting for propensity to get tested for COVID-19, age, sex, most recent prior SARS-CoV-2 infection, and number of prior vaccine doses. Results. COVID-19 occurred in 1475 (3%) of 48 344 employees during the 100-day study period. The cumulative incidence of COVID-19 was lower in the 9not up-to-date9 than the 9up-to-date9 state. On multivariable analysis, being 9up-to-date9 was not associated with lower risk of COVID-19 (HR, 1.05; 95% C.I., 0.88-1.25; P-value, 0.58). Results were very similar when those 65 years and older were only considered 9up-to-date9 after 2 doses of the bivalent vaccine. Conclusions. Since the XBB lineages became dominant, adults 9up-to-date9 on COVID-19 vaccination by the CDC definition do not have a lower risk of COVID-19 than those 9not up-to-date9, bringing into question the value of this risk classification definition.
Evaluating travel restriction effectiveness in mitigating infectious disease burden is critical for informing public health policy. Here, we quantify where and when variants of SARS-CoV-2 were introduced into Canada to evaluate the extent to which travel restrictions averted viral introductions and COVID-19 case burden. Our results suggest that, across SARS-CoV-2 variants of concern subject to travel restrictions, at least 281 introductions were prevented, accounting for an averted burden of approximately 44,064 cases. This corresponds to approximately 441 averted hospitalizations, 24 averted deaths, and cost savings to Canadian health care systems of approximately $11.2 million Canadian dollars. Travel restrictions were found to be most effective when implemented rapidly during exponential case growth in the focal source and when global circulation was limited. Our analyses reveal that COVID-19 travel restrictions mitigated case burdens and highlight their value in future pandemic response.
A 2nd Generation E1/E2B/E3-Deleted Adenoviral COVID-19 Vaccine: The TCELLVACCINE TRIAL - Condition: COVID-19
Interventions: Biological: hAd5-S-Fusion+N-ETSD; Biological: Placebo (0.9% (w/v) saline)
Sponsor: ImmunityBio, Inc.
Completed
Additional Recombinant COVID-19 Humoral and Cell-Mediated Immunogenicity in Immunosuppressed Populations - Conditions: Immunosuppression; COVID-19
Intervention: Biological: NVX-CoV2372
Sponsors: University of Wisconsin, Madison; Novavax
Not yet recruiting
Reducing COVID-19 Vaccine Hesitancy Among Hispanic Parents - Conditions: Vaccine-Preventable Diseases; COVID-19 Pandemic; Health-Related Behavior; Health Knowledge, Attitudes, Practice; Narration
Interventions: Behavioral: Baseline surveys; Behavioral: Digital Storytelling Intervention; Behavioral: Information Control Intervention
Sponsors: Arizona State University; Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Not yet recruiting
Bronchoalveolar Lavage in Recovered From COVID-19 Pneumonia - Condition: Bronchoalveolar Lavage
Intervention: Procedure: Bronchoalveolar Lavage
Sponsors: Mohamed Abd Elmoniem Mohamed; Marwa Salah Abdelrazek Ghanem; Mohammad Khairy El-Badrawy; Tamer Ali Elhadidy; Dalia Abdellateif Abdelghany
Completed
Evaluation of Safety and Immunogenicity of a SARS-CoV-2(Severe Acute Respiratory Syndrome Coronavirus 2) Booster Vaccine (LEM-mR203) - Conditions: COVID-19 Infection; COVID-19 Vaccine Adverse Reaction
Interventions: Biological: LEM-mR203; Biological: Placebo
Sponsor: Lemonex
Not yet recruiting
Phase I Safety Study of B/HPIV3/S-6P Vaccine Via Nasal Spray in Adults - Condition: SARS-CoV-2 Infection
Intervention: Biological: B/HPIV3/S-6P
Sponsors: National Institute of Allergy and Infectious Diseases (NIAID); Johns Hopkins Bloomberg School of Public Health; National Institutes of Health (NIH)
Recruiting
A Study to Determine the Tolerability of Intranasal LMN-301 - Condition: COVID-19
Intervention: Biological: LMN-301
Sponsor: Lumen Bioscience, Inc.
Not yet recruiting
The Effect of Cognitive Behavioral Therapy on Post-Traumatic Stress Symptoms in Nursing Students - Condition: Trauma and Stressor Related Disorders
Intervention: Other: Cognitive Behavioral Therapy Group
Sponsor: Necmettin Erbakan University
Active, not recruiting
Long COVID Immune Profiling - Conditions: Long COVID; POTS - Postural Orthostatic Tachycardia Syndrome; Autonomic Dysfunction
Interventions: Diagnostic Test: IL-6; Diagnostic Test: cytokines (IL-17, and IFN-ɣ); Behavioral: Compass 31
Sponsors: Vanderbilt University Medical Center; American Heart Association
Not yet recruiting
A Study of Healthy Microbiome, Healthy Mind - Conditions: Critical Illness; COVID-19; PICS; Cognitive Impairment; Mental Health Impairment; Weakness, Muscle; Dysbiosis
Intervention: Behavioral: Fermented Food Diet
Sponsor: Mayo Clinic
Not yet recruiting
Current understanding of nucleoside analogs inhibiting the SARS-CoV-2 RNA-dependent RNA polymerase - Since the outbreak of the COVID-19 pandemic, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA-dependent RNA polymerase (RdRp) has become a main target for antiviral therapeutics due to its essential role in viral replication and transcription. Thus, nucleoside analogs structurally resemble the natural RdRp substrate and hold great potential as inhibitors. Until now, extensive experimental investigations have been performed to explore nucleoside analogs to inhibit the RdRp, and…
Ebselen: A Review on its Synthesis, Derivatives, Anticancer Efficacy and Utility in Combating SARS-COV-2 - Ebselen is a selenoorganic chiral compound with antioxidant properties comparable to glutathione peroxidase. It is also known as 2-phenyl-1,2-benzisoselenazol-3(2H)-one. In studies examining its numerous pharmacological activities, including antioxidant, anticancer, antiviral, and anti-Alzheimer’s, ebselen has demonstrated promising results. This review’s primary objective was to emphasize the numerous synthesis pathways of ebselen and their efficacy in fighting cancer. The data were collected…
Molnupiravir: an antiviral drug against COVID-19 - SARS-CoV-2, the virus responsible for COVID-19, has caused numerous deaths worldwide and poses significant challenges. Researchers have recently studied a new antiviral drug called molnupiravir for treating COVID-19. This review examines the causes and immunopathogenesis of COVID-19, as well as the role of molnupiravir in its treatment. Molnupiravir is a prodrug of β-D-N4-hydroxyctytidine (NHC) and has demonstrated activity against various viruses, including MERS-CoV, SARS-CoV, SARS-CoV-2, and…
Overreactive macrophages in SARS-CoV-2 infection: The effects of ACEI - Among various factors influencing the course of SARS-CoV-2 infection in humans, macrophage overactivation is considered the main cause of the cytokine storm that leads to severe complications of COVID-19. Moreover, the increased expression of angiotensin converting enzyme 2 (ACE2), an obligatory entry receptor of the coronavirus, caused by treatment with ACE inhibitors (ACEI) lowered overall confidence in the safety of these drugs. However, analysis of the course of coronavirus infection in…
Omics data analysis reveals common molecular basis of small cell lung cancer and COVID-19 - The impact of COVID-19 infection on individuals with small cell lung cancer (SCLC) poses a serious threat. Unfortunately, the molecular basis of this severe comorbidity has yet to be elucidated. The present study addresses this gap utilizing publicly available omics data of COVID-19 and SCLC to explore the key molecules and associated pathways involved in the convergence of these diseases. Findings revealed 402 genes, that exhibited differential expression patterns in SCLC patients and also play…
Whole genome CRISPR screening strategy to identify genes contributing to SARS-CoV-2 spike and VSV-G mediated entry - Understanding the cellular host factors that promote and inhibit viral entry is important for identifying viral countermeasures. CRISPR whole-genome screens can be used to rapidly discover host factors that contribute to or impair viral entry. However, when using live viruses and cellular lethality for selection, these screens can identify an overwhelming number of genes without specificity for the stage of the viral infection cycle. New screening methods are needed to identify host machinery…
On a path toward a broad-spectrum anti-viral: inhibition of HIV-1 and coronavirus replication by SR kinase inhibitor harmine - RNA processing plays a key role in gene expression, allowing for increased protein diversity and functional complexity. Consequently, modulating RNA processing can impact gene function. Given HIV-1’s reliance on host RNA processing machinery for viral protein production/replication, modulators of this process could serve as novel anti-virals to complement and/or enhance existing therapies. In this study, screening of several serine-arginine-rich (SR) kinase inhibitors for their impact on HIV-1…
Association between levels of IgG antibodies from vaccines and Omicron symptomatic infection among children and adolescents in China - CONCLUSION: The risk of developing a symptomatic infection can be predicted independently by tertiles of IgG antibodies to wild-type SARS-CoV-2 antigens. High IgG levels can inhibit viral replication, vastly reduce the risk of symptomatic infections and promote a virus-negative conversion, especially when IgG quantitative detection was ≥3.44 S/CO, a potential threshold for protection and booster strategy in the future. More data and research are needed in the future to validate the predictive…
Identification of essential genes associated with SARS-CoV-2 infection as potential drug target candidates with machine learning algorithms - Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires the fast discovery of effective treatments to fight this worldwide concern. Several genes associated with the SARS-CoV-2, which are essential for its functionality, pathogenesis, and survival, have been identified. These genes, which play crucial roles in SARS-CoV-2 infection, are considered potential therapeutic targets. Developing drugs against these essential genes to inhibit their regular functions could be a good approach…
Identification of motif-based interactions between SARS-CoV-2 protein domains and human peptide ligands pinpoint antiviral targets - The virus life cycle depends on host-virus protein-protein interactions, which often involve a disordered protein region binding to a folded protein domain. Here, we used proteomic peptide phage display (ProP-PD) to identify peptides from the intrinsically disordered regions of the human proteome that bind to folded protein domains encoded by the SARS-CoV-2 genome. Eleven folded domains of SARS-CoV-2 proteins were found to bind 281 peptides from human proteins, and affinities of 31 interactions…
Broadly neutralizing antibodies derived from the earliest COVID-19 convalescents protect mice from SARS-CoV-2 variants challenge - Coronavirus disease 2019 (COVID-19) was first reported three years ago, when a group of individuals were infected with the original SARS-CoV-2 strain, based on which vaccines were developed. Here, we develop six human monoclonal antibodies (mAbs) from two elite convalescents in Wuhan and show that these mAbs recognize diverse epitopes on the receptor binding domain (RBD) and can inhibit the infection of SARS-CoV-2 original strain and variants of concern (VOCs) to varying degrees, including…
Suramin inhibits SARS-CoV-2 nucleocapsid phosphoprotein genome packaging function - The coronavirus disease 2019 (COVID-19) pandemic is fading, however its etiologic agent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues posing - despite the availability of licensed vaccines - a global health threat, due to the potential emergence of vaccine-resistant SARS-CoV-2 variants. This makes the development of new drugs against COVID-19 a persistent urgency and sets as research priority the validation of novel therapeutic targets within the SARS-CoV-2 proteome….
Inhalable dry powder containing remdesivir and disulfiram: Preparation and in vitro characterization - The respiratory tract, as the first and most afflicted target of many viruses such as SARS-CoV-2, seems to be the logical choice for delivering antiviral agents against this and other respiratory viruses. A combination of remdesivir and disulfiram, targeting two different steps in the viral replication cycle, has showed synergistic activity against SARS-CoV-2 in-vitro. In this study, we have developed an inhalable dry powder containing a combination of remdesivir and disulfiram utilizing the…
MICROVASCULAR ENDOTHELIAL ACTIVATION/DYSFUNCTION AND DYSREGULATION OF THE ANGIOPOIETIN-TIE2 SYSTEM IN THE PATHOGENESIS OF LIFE-THREATENING INFECTIONS - Microvascular endothelial activation/dysfunction has emerged as an important mechanistic pathophysiological process in the development of morbidity and mortality in life-threatening infections. The angiopoietin-Tie2 system plays an integral role in the regulation of microvascular endothelial integrity. Angiopoietin-1 (Ang-1), produced by platelets and pericytes, is the cognate agonistic ligand for Tie2, promoting endothelial quiescence and inhibiting microvascular leak. Angiopoietin-2 (Ang-2),…
Prime editor-mediated functional reshaping of ACE2 prevents the entry of multiple human coronaviruses, including SARS-CoV-2 variants - The spike protein of SARS-CoV-2 hijacks the host angiotensin converting enzyme 2 (ACE2) to meditate its entry and is the primary target for vaccine development. Nevertheless, SARS-CoV-2 keeps evolving and the latest Omicron subvariants BQ.1 and XBB have gained exceptional immune evasion potential through mutations in their spike proteins, leading to sharply reduced efficacy of current spike-focused vaccines and therapeutics. Compared with the fast-evolving spike protein, targeting host ACE2…