COVID

The current study aims to examine the impact of non-work responsibilities (NWRs) due to work from home (WfH) conditions on the work–life imbalance (WLI) and emotional exhaustion (EE) experienced by pregnant working women during the pandemic (COVID-19) in Indian settings. Due to lack of empirical evidence on the increasing rate of mental health issues during the prepartum period amid the pandemic, the study attempted to explore the effect of NWRs, prepartum burnout (PB) on the WLI and EE during WfH. The research study was carried out in urban cities of eastern coastal India and other major eastern cities by collecting data from 386 working pregnant women from January to March 2023. For assessing the reliability and validity of the measurement model, a Confirmatory Factor Analysis (CFA) using AMOS 23 was performed, and SPSS 26 using Process macro was used for examining the direct, mediation, and moderated mediation effects. Findings depicted that NWRs and PB are positively significant with EE. Additionally, WLI mediates the relationship between NWRs → EE and PB → EE. Moderated mediation was also examined and reported the contradictory results, with COVID-19 rumination (CR) as the moderator. To the best of our knowledge, this study is the first to explore the combined effects of organizational psychology (WLI, WfH) and mental health (PB, EE) variables on pregnant working professionals in the Indian context. The study has the potential to overcome the challenges faced by prepartum working professionals in the forthcoming pandemic and challenging times, if any, keeping in mind their robustness in overpowering severe public health emergency events. Full article

Coronavirus disease 2019 (COVID-19) emerged in late 2019 and was declared a pandemic from March 2020 to May 2023, profoundly affecting public health systems, economies, and daily life worldwide. University students were among the most impacted groups, facing abrupt transitions to remote learning, social isolation, and increased psychological distress due to academic and personal uncertainties. During the pandemic, few studies have been conducted with this population and so far, none have evaluated factors associated with COVID-19 infection in university students, so this study aimed to evaluate variables associated with COVID-19 infection among university students in southern Brazil. Data were collected from July to November 2020 through an online questionnaire addressing lifestyle and health, with participation from 1533 students. Among the variables analyzed, statistically significant associations with COVID-19 infection were identified for age, occupation, use of continuous medication, compliance with social distancing, and self-medication practices. Younger students (18–29 years) and those dedicated solely to studying exhibited higher infection rates. Additionally, participants who reported using continuous medication, not adhering to social distancing measures, or engaging in self-medication were significantly more likely to have contracted COVID-19. These results help outline risk profiles within the university student population and contribute to improved preparedness for future disease outbreaks. Furthermore, they underscore attitudes and behaviors that may increase vulnerability to infectious diseases, highlighting the importance of targeted health promotion and prevention strategies in this demographic. Full article

A key requirement in containing contagious diseases, like the COVID-19 pandemic, is the ability to efficiently carry out mass diagnosis over large populations, especially when testing resources are limited and rapid identification is essential for outbreak control. Some of the leading testing procedures, such as those utilizing qualitative polymerase chain reaction, involve using dedicated machinery which can simultaneously process a limited amount of samples. A candidate method to increase the test throughput is to examine pooled samples comprised of a mixture of samples from different patients. In this work, we study pooling-based tests which operate in a one-shot fashion, while providing an indication not solely on the presence of infection, but also on its level, without additional pool-tests, as often required in COVID-19 testing. As these requirements limit the application of traditional group-testing (GT) methods, we propose a multi-level GT scheme, which builds upon GT principles to enable accurate recovery using much fewer tests than patients, while operating in a one-shot manner and providing multi-level indications. We provide a theoretical analysis of the proposed scheme and characterize conditions under which the algorithm operates reliably and at affordable computational complexity. Our numerical results demonstrate that multi-level GT accurately and efficiently detects infection levels, while achieving improved performance and less pooled tests over previously proposed oneshot COVID-19 pooled-testing methods. Our simulations show that the efficient method proposed in this work can correctly identify the infected items and their infection levels with high probability at the known upper bound (for a maximum likelihood decoder in GT) on the number of tests. We also show that the method works well in practice when the number of infected items is not assumed to be known in advance. Full article

This study highlights how socio-demographic, information, and government factors play different roles in people’s health during COVID-19 between Asian countries and non-Asian countries by employing the Hierarchical Linear Regression. This study finds that government factors play a more significant role in shaping wellness and happiness in Asian countries, whereas they have a stronger impact on health status in non-Asian countries. Second, information factors—such as knowledge about vaccines, medical professionals, and reliable sources—have a more substantial effect on health status in Asian countries, while they are more strongly associated with wellness and happiness in non-Asian contexts. Third, socio-demographic variables exert a greater influence on overall health outcomes in non-Asian countries compared to Asian countries. In particular, gender, occupation, socioeconomic placement, height, and weight consistently play a significant role across all health dimensions in non-Asian countries, whereas their impact varies across different health domains in Asian settings. Full article

Background: To evaluate and compare cardiorespiratory function, assessed by the 6-minute walk test (6MWT), and musculoskeletal function, assessed by the handgrip strength test and the sit-to-stand test (STS10) in post-coronavirus disease 2019 (COVID-19) patients. Participants were stratified based on the time since infection (≤6 months and >6 months) and compared with matched healthy controls. Methods: A total of 111 participants were recruited and divided into three groups (n = 37/group). Cardiorespiratory function was assessed using the 6MWT, while musculoskeletal function was evaluated through the handgrip strength test and the STS10. Results: All three groups had normal body mass index values. Group 2 demonstrated significantly lower handgrip strength and a shorter 6MWT distance compared to both Group 1 and Group 3. Additionally, Group 2 required significantly more time to complete the STS10 than Group 1. Following the 6MWT, Group 2 exhibited significantly higher heart rate and systolic blood pressure compared to both Group 1 and Group 3. Diastolic blood pressure was significantly lower in Group 3 compared to the other two groups. Furthermore, Group 2 had significantly lower pulse oxygen saturation than both Group 1 and Group 3. The rate of perceived exertion was significantly lower in Group 1 than in Group 2. Additionally, leg fatigue was significantly lower in Group 1 compared to both Group 2 and Group 3. Conclusions: These findings highlight significant differences in physical performance and physiological responses between post-COVID-19 patients and healthy individuals, emphasizing the potential long-term effects of SARS-CoV-2 infection on cardiorespiratory and musculoskeletal function. Full article

Background: High concentrations of supplemental oxygen (FiO₂ > 0.6) are commonly used to treat acute hypoxemia in critically ill patients. However, the effects of High FiO₂ in patients with COVID-19 remain unclear, particularly regarding its impact on hypoxic pulmonary vasoconstriction (HPV) and ventilation–perfusion (V/Q) mismatch. Objective: This study aims to evaluate whether administering lower concentrations of inspired oxygen (FiO₂ < 0.6) is associated with improved outcomes—namely reduced need for mechanical ventilation and mortality—in patients with COVID-19 and severe pulmonary involvement. Methods: This retrospective observational cohort included 201 patients with confirmed COVID-19. Patients were grouped by mean FiO₂ during the first 24–48 h: High FiO₂ (≥0.60) or Low FiO₂ (<0.60). The primary outcome was the requirement for mechanical ventilation; the secondary outcome was in-hospital mortality. A composite endpoint (mechanical ventilation and in-hospital death) was also evaluated. Analyses included logistic regression and Kaplan–Meier survival with log-rank testing. Results: High FiO₂ (≥0.60) was associated with higher odds of the composite outcome (mechanical ventilation and in-hospital death). In multivariable analysis, Low FiO₂ remained associated with lower odds (adjusted OR 0.18; 95% CI 0.08–0.39; p < 0.001). Unadjusted rates were 43.1% vs. 16.1% for mechanical ventilation and 34.3% vs. 8.1% for in-hospital death (High vs. Low FiO₂; both p < 0.001). Event-free survival favored the Low FiO₂ group (log-rank p < 0.001). The model showed excellent discrimination (AUC 0.96; 95% CI 0.92–0.99). Conclusions: Higher early FiO₂ exposure was associated with worse clinical outcomes in severe COVID-19. These findings are consistent with physiological models in which excess oxygen may attenuate hypoxic pulmonary vasoconstriction and increase shunt/dead space. Prospective studies are warranted to assess causality and refine oxygen targets. Full article

Background: The lockdown and other measures for coronavirus disease 2019 (COVID-19) prevention have presented an enormous burden on healthcare systems, causing reorganization in work and lowering the number of elective hospitalizations, along with a consequent reduction in hospital-acquired infections and bacteremia. The aim of this study was to examine the influence of the COVID-19 pandemic on the diagnosis and management of infective endocarditis (IE). Methods: The study included 111 patients admitted for IE from 1 January 2017 to 31 December 2021. They were divided in two groups chronologically according to the COVID-19 pandemic: the first group consisted of patients before the pandemic (n = 85), while the second group consisted of patients during the pandemic (n = 26). Results: Before the pandemic there were 2.26 ± 1.41 cases/month with diagnosis of IE, while during the pandemic there were only 1.14 ± 1.15 cases/month (p = 0.004). IE patients during the pandemic were younger (53 [41–65] vs. 68 [52–74] years; p < 0.05). A similar number of patients underwent surgical treatment before and during COVID-19 (53% vs. 67%; p = 0.210) and 30-day mortality was comparable (28% vs. 22%; p = 0.539). Conclusion: The COVID-19 pandemic and lockdown measures have led to a reduction in the number of patients with IE, although this change did not influence management strategies and mortality. Full article

Introduction: Human metapneumovirus (HMPV), though commonly perceived as a pediatric pathogen, significantly impacts adults, yet its role in acute respiratory tract infections (ARTIs) remains underappreciated. The COVID-19 pandemic has reshaped respiratory virus epidemiology and amplified the need for comprehensive differential diagnosis. This study aimed to comprehensively investigate the prevalence, clinical characteristics, and post-COVID-19 trends of HMPV infection in adults and to elucidate its critical role in the differential diagnosis of ARTIs by distinguishing it from other common viral pathogens. Methods: This was a retrospective, multicenter study conducted across six hospitals within the Acibadem Hospitals Group in Istanbul, Turkey. Data were collected from two periods: January 2016 to January 2020 (pre-COVID-19) and January 2021 to September 2023 (post-COVID-19), excluding the peak pandemic phase (March 2020 to May 2021). Respiratory samples (sputum, BAL, nasopharyngeal/nasal/throat swabs) were analyzed using multiplex PCR (Seegene RV12-ACE), with an expanded panel including SARS-CoV-2 in the post-COVID-19 era. Demographic data, comorbidities, symptoms, hospitalization, and ICU admission rates were collected. Results: In the post-COVID-19 period, 2197 positive viral panels were recorded, an increase from 1357 in the pre-COVID period, reflecting enhanced testing. HMPV prevalence reached 9.7% post-COVID-19, making it the fourth most common respiratory virus in adults (8.7% of 644 positive adult tests), following SARS-CoV-2 (26.4%), influenza A (21.3%), and rhinovirus (17.5%). The average age of HMPV-infected adults was 52.14 years (18–90 years); 64% were female. While 52% had no comorbidities, common underlying conditions included hypertension (24%), cancer (12%), and diabetes (10%). Weakness (34%), lower respiratory symptoms (16%), and fever (12%) were frequent. A significant proportion of HMPV patients required hospitalization (34%) and ICU admission (18%), with 40% receiving antibiotics. Despite potential severity, the mortality rate was low (2.8%). No significant difference in severity was observed between HMPV monoinfection and co-infected groups (e.g., with influenza A, rhinovirus, SARS-CoV-2, parainfluenza virus 2). Conclusion: Our findings establish HMPV as a significant and increasingly prevalent respiratory pathogen among adults in Istanbul in the post-COVID-19 era. Its non-specific clinical presentation underscores the critical importance of multiplex PCR for accurate differential diagnosis, enabling appropriate patient management and antimicrobial stewardship. While HMPV can lead to severe outcomes requiring hospitalization and ICU admission, particularly in patients with comorbidities, the overall mortality rate remains low. Given the lack of specific antiviral treatments and vaccines, sustained surveillance and continued research into targeted interventions are crucial. Full article

Long COVID is characterized by persistent symptoms affecting one or more organ systems for at least 3 months following a SARS-CoV-2 infection. Our study aimed to examine the characteristics of frailty seen in patients with Long COVID compared to the frailty seen in aging patients with multimorbidity. This is a retrospective cohort study conducted in the Miami Veterans Affairs Medical Center (VAMC). The data used to calculate the Fried phenotype through the Johns Hopkins frailty calculator was collected from two separate clinics, a Long COVID clinic and a geriatric frailty clinic. We obtained the VA Frailty Index from VA CDW (Corporate Data Warehouse). We included 106 patients from the Long COVID clinic and 97 from the frailty clinic. Patients from the Long COVID clinic were significantly younger than those from the frailty clinic (60 ± 12.6 vs. 79.8 ± 5.8, p < 0.01). Patients with frailty in the Long COVID group experienced exhaustion (96.4% vs. 53.3%) and low activity (78.6% vs. 63.3%) at a higher rate than those in the geriatric frailty clinic. Long COVID may predispose patients to develop frailty that presents with a higher frequency of exhaustion and low activity. Full article

SARS-CoV-2 infection can be followed by prolonged symptoms, signs and sequelae, collectively known under the term Long COVID. Hundreds of millions are estimated to suffer from Long COVID. Long COVID, therefore, is a public health crisis that deserves the utmost urgency from all relevant stakeholders, from policymakers to advocacy groups, researchers and healthcare providers. The development of effective definitions and guidelines for Long COVID is crucial to support patients and carers. In this review, I address the following two case definitions of Long COVID developed in the US as a case study for a broader discussion on the sequelae of SARS-CoV-2 infection: the U.S. Government (USG) working definition for Long COVID and the NASEM definition published in 2024. In the first part of this review, I provide a critical appraisal of the USG in light of research, pathophysiology and lived experience, building upon my intervention as a patient expert on a National Academies of Sciences, Engineering, and Medicine (NASEM) panel for defining Long COVID, which examined the USG. In the second part, I raise some pressing concerns to address when approaching Long COVID as a disease entity and as a concept, which I originally submitted to NASEM. In the third part, I offer a critical appraisal of the NASEM definition, the most recent benchmark for Long COVID in the US. The review highlights the importance of broad, expansive and inclusive definitions for Long COVID, accounting for the disease’s heterogeneous, fluctuating and multi-system manifestations. Clinical case definitions for Long COVID must retain their focus on the broader spectrum and scope of the disease entity, while incorporating feedback from people with lived experience, advocates and patient-researchers. Full article

This study investigates the impact of the COVID-19 pandemic on clinically diagnosed depression in South Korea, focusing on gender disparities and structural risk factors such as job loss and childcare burden. Although mental health inequalities have received growing attention during the pandemic, most existing research relies on self-reported survey data with inherent limitations. To address this gap, we utilized administrative health data from a 2% stratified random sample of the total population (N = 297,368) in the National Health Insurance Database, focusing on employed individuals without a prior history of depression. Multivariable Cox proportional hazard regression revealed that women had higher risks of depression than men, particularly among those in their 20s to 40s, those who experienced job loss, those who had children aged 7–9, and those who belonged to high-income groups. These findings suggest that the intersection of employment instability and caregiving responsibilities disproportionately affected women’s mental health during the pandemic. The results underscore the urgent need for gender-sensitive public health policies that expand childcare support, institutionalize flexible work arrangements such as telecommuting, and enhance access to targeted mental health services to reduce pandemic-induced gender disparities in mental health. Full article

Since December 2019, the COVID-19 pandemic caused by SARS-CoV-2 has reached approximately 769 million people, leading to more than 7 million deaths worldwide. Faced with the possibility of other respiratory pathogens co-infecting patients and modifying their clinical response to SARS-CoV-2, some researchers have explored this line of investigation. The relationship between these co-infections remains unclear, underscoring the need to deepen our understanding of interactions among pathogens and between pathogens and the host. Thus, the present study employed RT-qPCR to assess the presence of Human Adenovirus (HAdV), Influenza A (Flu A), Influenza B (Flu B), Human Metapneumovirus (HMPV), Respiratory Syncytial Virus (RSV), Human Rhinovirus (HRV), and Parainfluenza Virus (PIV). Nasopharyngeal samples (187) from adult patients exhibiting respiratory symptoms were collected between February 2021 and November 2022 at the University Hospital Polydoro Ernani de São Thiago in Florianópolis, SC, Brazil. The present findings revealed that 25.16% of samples tested positive for non-SARS-CoV-2 respiratory viruses (29.8%—HRV; 5.3%—PIV; 4.3%—RSV; and 1.1%—HMPV). In the 74.84% of SARS-CoV-2-positive patients, co-infection was observed in 9.7% of patients, with 7.5% being HRV, 1.1% HAdV, and 1.1% Influenza A. Since co-infections can potentially alter patient prognoses and impact local epidemiological dynamics, this study highlights the significance of ongoing monitoring and epidemiological assessment through genomic surveillance of other clinically relevant respiratory pathogens. Full article

Background: Vaccination is a crucial public health measure to control infectious diseases, including seasonal influenza. Yet, vaccine uptake varies globally due to sociodemographic factors, misinformation, and access disparities. Objectives: The objective of this study was to assess the prevalence and sociodemographic factors associated with vaccination and the main reasons for vaccine hesitancy in Albania. Methods: A cross-sectional study, conducted in Albania in November–December 2021, included a sample of 1302 individuals aged ≥18 years (≈57% females; mean age: 38.3 ± 15.0 years; response rate: ≈87%). A structured questionnaire was administered inquiring about co-vaccination status against seasonal influenza and COVID-19, reasons for not being vaccinated, and sociodemographic characteristics of participants. Binary logistic regression was used to assess the association of co-vaccination status with sociodemographic factors. Results: Overall, about 28% of individuals were co-vaccinated against seasonal influenza and COVID-19 at least with one dose (25% in males vs. 29% in females; 22% among 18–24-year-olds vs. 54% among those aged ≥65 years). Independent positive and significant correlates of being co-vaccinated included older age (OR = 7.0, 95%CI = 3.7–12.9) and a higher educational attainment (OR = 2.3, 95%CI = 1.4–3.6). The main reasons for vaccine hesitancy among non-vaccinated individuals included the belief that vaccines are: harmful (72%), not effective (66%), weaken the immune system (58%), are not safe (56%), and preference to recover naturally (52%). Conclusions: This study evidenced a relatively low co-vaccination rate in Albania with significant sociodemographic disparities, notwithstanding the availability of vaccines and their free-of-charge provision to the overall population. Older age and higher educational attainment were identified as independent positive predictors of co-vaccination uptake, suggesting the need for targeted public health strategies to address vaccine hesitancy, particularly among younger and less-educated population categories. Our findings emphasize the importance of tailored communication campaigns and community-based interventions to improve vaccine coverage and mitigate the impact of infectious diseases in Albania and elsewhere. Full article

In assessing disability within rural communities, it is crucial to explore the intersection of sociodemographic and health factors. This cross-sectional study, conducted between June and December 2022 in 16 rural locations in Yucatan, aimed to analyze how sociodemographic and occupational factors influence the perception of disability in Mayan communities, with a particular focus on the impact of the COVID-19 pandemic. Disability was evaluated disability in a sample of 1049 participants using the World Health Organization Disability Assessment Schedule (WHODAS). Descriptive analyses and non-parametric tests were performed to characterize the sample and WHODAS scores. The participants’ mean age was 39.26 ± 17.87 years, and significant differences in disability perception were observed in relation to a COVID-19 diagnosis. Individuals with a confirmed diagnosis reported higher levels of disability in the domains of cognition and community participation (p < 0.05). Age strongly influenced disability (p < 0.05). Additionally, education was negatively associated with disability, suggesting that individuals with lower educational attainment were more likely to report higher disability (p < 0.05). These findings contribute to the understanding of disability in the rural Mayan context. Full article

This study aimed to evaluate the effects of the COVID-19 pandemic on food service operations in a Brazilian tourist area. It is a longitudinal observational study. Data collection was performed through telephone interviews with owners or managers of 54 food service establishments concerning the pre-pandemic period (T0) and two time points during the pandemic (T1 and T2). Findings revealed a reduction in the number of establishments providing on-site service at T1 compared to T0, followed by an increase at T2. A reduction in operating hours (56.7%) and profits (100%) affected more establishments at T1 than at T2 (26.7% and 76.7%, respectively) (p < 0.05). At T2, with the resumption of in-person activities, there was a significant decrease in the use of sales channels such as telephone (p < 0.001), messaging applications (p = 0.0012), and websites/apps/social media (p = 0.009) compared to T0 and T1. The pandemic also caused an increase in mask use by employees (p < 0.01) and the availability of hand sanitizer dispensers at establishments (p < 0.01) during T1 and T2. At T2, there was also an increase in the supply of disposable cutlery, cups (p = 0.02), and gloves for customers (p = 0.015) compared to the pre-pandemic period. Full article

Background: COVID-19 vaccination has been a key tool in protecting healthcare workers (HCWs), but breakthrough infections have occurred. The durability of vaccine-induced immunity and its impact on HCWs remain critical for public health strategies. Methods: In this small cohort study (n = 32), we assessed antibody levels and breakthrough infection rates in HCWs over 12 months post-vaccination, providing insights for booster strategies and infection control. A cohort of 32 HCWs was screened for SARS-CoV-2 infection using weekly self-administered swabs and blood samples collected at baseline, 6 months, and 12 months. SARS-CoV-2 antibodies (IgG, IgM) targeting spike proteins and nucleocapsids were analyzed using a multi-antigen serology panel. Pooled nucleic acid testing was employed for infection detection. Results: Nine participants showed breakthrough infections, with nucleocapsid antibodies indicating prior infection. Eight of these cases occurred after the third vaccine dose during the Omicron-dominant period. Anti-spike antibody levels declined significantly in participants without prior infection, while those with breakthrough infections exhibited increased levels. The half-life of S1 and S1 receptor-binding domain (RDB) vaccine-induced antibodies was 144 and 166 days, respectively, which aligns with CDC data. These findings provide valuable insights for determining the optimal timing of booster doses. Conclusions: Our findings highlight the waning antibody levels over time and the occurrence of breakthrough infections. Although based on a small sample, these data support the need for ongoing monitoring and timely boosters. Full article

The COVID-19 pandemic exacerbated mental illness, accelerated cognitive decline, and deepened social inequalities. In low and middle-income countries (LMIC) such as Panama, it is unclear as to whether, and to what extent, the pandemic lockdowns affected cognitive, mental, and physical health of older adults. This study investigated changes in cognitive function, mental health, and physical health in a sample of Panamanian older adults assessed before and during the pandemic, and examined whether sociodemographic variables were associated with cognition and mental health. Participants completed in-person interviews between 2018 and early 2020 and a follow-up telephone interview between February and May 2021. Repeated measures analyses showed no significant changes in cognitive function or depression; however, participants reported fewer chronic illnesses. Linear regression analysis indicated that higher cognitive function during the pandemic was associated with younger age, higher education, and having sufficient income. An attrition analysis compared participants who completed both interviews to those who were lost to follow-up, revealing that participants who dropped out of the study had lower socioeconomic status and greater impairment at baseline. These findings highlight the need for targeted support for vulnerable older adults during public health crises. Full article

The COVID-19 pandemic precipitated unprecedented social isolation measures, profoundly disrupting daily life, educational routines, and mental health worldwide. University students, already susceptible to psychological distress, encountered intensified challenges under remote learning and prolonged confinement. This longitudinal study examined fluctuations in anxiety and mood among 102 Brazilian university students during the pandemic, distinguishing between those solely engaged in academic pursuits and those simultaneously balancing work and study. Data collected via the Brunel Mood Scale and State-Trait Anxiety Inventory in April and July 2021 revealed that students exclusively focused on studies exhibited significant increases in depressive symptoms, anger, confusion, and anxiety, alongside diminished vigor. Conversely, participants who combined work and study reported reduced tension, fatigue, confusion, and overall mood disturbance, coupled with heightened vigor across the same period. Notably, women demonstrated greater vulnerability to anxiety and mood fluctuations, with socioeconomic disparities particularly pronounced among females managing dual roles, who reported lower family income. These findings suggest that occupational engagement may serve as a protective factor against psychological distress during crises, underscoring the urgent need for tailored mental health interventions and institutional support to mitigate the enduring impacts of pandemic-related adversities on the student population. Full article

The P1104A variant in the TYK2 gene is recognized as the first common monogenic cause of tuberculosis, and recent studies also suggest a potential role in COVID-19 severity. However, its frequency and impact in admixed Latin American populations remain underexplored. Therefore, we investigated the P1104A/TYK2 variant in a cohort comprising 1826 RT-PCR-confirmed COVID-19 patients from Southern Brazil. Cases were stratified by severity into non-severe (n = 1190) and severe (n = 636). Three homozygous individuals were identified—one non-severe and two severe cases—although no statistically significant association with disease severity was observed. The frequency of the C allele in the COVID-19 cohort (2.85%) was significantly higher than in Brazilian population databases, including “DNA do Brasil” (1.81%, p < 0.001) and ABraOM (2.34%, p = 0.03), but lower than in the multi-ancestry gnomAD database (3.71%, p = 0.01), possibly reflecting ancestry bias. We also observed associations between COVID-19 severity and sex (p = 0.003), age (p < 0.001), obesity (p < 0.001), diabetes (p < 0.001), and hypertension (p < 0.001). Future studies in larger and more diverse cohorts are needed to characterize the prevalence of the variant in admixed populations and assess its contribution to COVID-19 susceptibility. Full article