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Mortality due to suicide is amongst the largest public health concerns across the world today in Bharat (India). There have been concerns that the COVID-19 pandemic has contributed to worsening mental health outcomes across the world, including in Bharat. Furthermore, long COVID has been proposed to be a major consequence of COVID-19, which can also worsen mental health outcomes. Therefore, our objective in this study was to analyse trends in suicide mortality across Bharat and to compare these trends to changes prior to the COVID-19 pandemic; in addition, we aimed to analyse if long COVID had any role in these changes. It was found that, at a national level, the average annual increase in the suicide rate between 2019 and 2022 was 0.7 per 100,000 people (a 6.41% increase). There was also an average annual rise in suicide rates across 27 states/union territories (out of the 33 that were analysed). States/UTs with the highest annual increases since the start of the COVID-19, despite a decrease from 2018 to 2019, were Tamil Nadu (increased by 2.7; a 15.17% increase) and Telangana (increased by 1.9; a 9.22% increase). Multi-linear regression showed that the annual suicide rate changes were not associated with COVID-19 deaths per 10,000 people (standardized beta coefficient = 0.077; p = 0.605) but were associated with COVID-19 cases per 100 people (standardized beta coefficient = 0.578; p < 0.001). It has been shown that suicide mortality has worsened, and long COVID may have a potential role in this in Bharat.

Long COVID comprises persistent symptoms that extend beyond four weeks post-SARS-CoV-2 infection. The potential association between long COVID and the endorsement of COVID-19 conspiracy theories has not been explored, particularly in Arab countries, where high endorsement of these theories has been reported. This study aimed to explore the association between endorsing COVID-19 conspiracy theories and the prevalence of self-reported long COVID symptoms among adults in Jordan and Kuwait in addition to other Arab countries. The study employed a cross-sectional design using Computer-Assisted Web Interviewing (CAWI), conducted in Arabic. Recruitment utilized convenience-based snowball sampling via social media and the survey was distributed in July 2024. Long COVID manifestations were assessed across ten recognized symptoms, and belief in conspiracy theories was measured using a five-point Likert scale across five items. The final study sample comprised 755 respondents, the majority of whom self-reported a history of confirmed COVID-19 diagnosis at least once (n = 493, 65.2%). The results indicated a neutral average attitude towards COVID-19 conspiracy theories (mean score = 15.18 ± 4.64 out of 30.00). Participants with high COVID-19 conspiracy theories scores were more likely to report high (aOR = 6.85, p < 0.001) or middle long COVID symptoms (aOR = 2.82, p = 0.008) compared to those with lower scores. Additional predictors of higher long COVID reporting included female sex, lower household income, frequent COVID-19 infections, and hospitalizations. The study results revealed a significant correlation between the endorsement of COVID-19 conspiracy theories and a higher frequency and magnitude of long COVID symptom reporting. The findings also highlighted the influence of sociodemographic factors and COVID-19 infection history on long COVID reporting, which suggests that public health strategies should address these factors to mitigate long COVID challenges effectively.

Purpose: This study aimed to explore how race and the socioeconomic index (SES) of residential zip codes influenced COVID-19 testing rates in St. Louis during the early and peak phases of the pandemic. Method: An ecological study was conducted using COVID-19 testing data from March to November 2020 in St. Louis City, including 16,915 tests from 30 residential zip codes. Geographical mapping identified areas lacking testing, descriptive statistics characterized testing rates by race and SES, and robust linear regression modeled the association between testing rates and race, controlling for SES. Results: The overall testing rate was 303.97 per 10,000 population. Testing rates among Blacks, Whites, American Indians/Alaskan Natives, and Asians were 374.26, 247.77, 360.63, and 242.41 per 10,000, respectively. Higher rates were observed in low- and middle-SES zip codes compared with high-SES areas. Adjusted for SES, testing rates per 10,000 were higher by 125 (1.25%), 448 (4.48%), and 32 (0.32%) among Blacks, American Indians/Alaskan Natives, and Asians compared with Whites. Testing rates decreased by 56 (0.56%) per unit SES improvement. There was statistically significant SES finding and that of the difference between American Indians/Alaskan Natives and Whites. Geographical mapping showed higher rates in the inner core and lower rates in the periphery of St. Louis. Conclusions: Race and SES influence testing rates. Targeted interventions are needed in areas with low testing rates in St. Louis.

Since the WHO declared COVID-19 a pandemic, prominent social actors and institutions have warned about the threat of misinformation, calling for policy action to address it. However, neither the premises underlying expert claims nor the standards to separate truth from falsehood have been appraised. We conducted a scoping review of the medical and social scientific literature, informed by a critical policy analysis approach, examining what this literature means by misinformation. We searched academic databases and refereed publications, selecting a total of 68 articles for review. Two researchers independently charted the data. Our most salient finding was that verifiability relied largely on the claims of epistemic authorities, albeit only those vetted by the establishment, to the exclusion of independent evidentiary standards or heterodox perspectives. Further, “epistemic authority” did not depend necessarily on subject matter expertise, but largely on a new type of “expertise”: in misinformation itself. Finally, policy solutions to the alleged threat that misinformation poses to democracy and human rights called for suppressing unverified information and debate unmanaged by establishment approved experts, in the name of protecting democracy and rights, contrary to democratic practice and respect for human rights. Notably, we identified no pockets of resistance to these dominant meanings and uses. We assessed the implications of our findings for democratic public policy, and for fundamental rights and freedoms.

Objectives: This study aims to examine the serological and infectious characteristics of the Xokós indigenous community in Brazil, both prior to and following COVID-19 immunization; Methods: Immunofluorescence assays were employed to identify the SARS-CoV-2 viral antigen, while IgM and IgG antibody tests for COVID-19 were utilized to assess the participants’ infectious and serological profiles in July 2020, before the commencement of the COVID-19 vaccination campaign, and in March 2022, during the booster dose vaccination campaign; Results: The majority of participants (n = 22) were female, with an average age of 42.20 years. The most prevalent comorbidity was hypertension (60%; n = 9), followed by hypertension associated with diabetes (20%; n = 3). No statistically significant correlation was found between the timing of vaccination and the levels of antigens or IgM. However, the prevalence of reactive antigens and IgM was 13.3% (n = 4) in the pre-vaccination group and 3.3% (n = 1) in the post-vaccination group. A statistically significant difference in IgG production was observed before and after vaccination (χ2(1) = 39.095, p < 0.01), as well as differences in IgG antibody detection before and after vaccination and in the vaccines used. Participants showed a higher probability of reactive IgG antibodies following vaccination; Conclusions: Our data demonstrate the beneficial effects of vaccination on the indigenous community, highlighting that continued immunization is a crucial step in protecting indigenous health and preventing severe outbreaks and deaths associated with the disease.

Negative effects of the COVID-19 pandemic on mental health have been widely reported. Chinese populations, especially those living overseas, are highly vulnerable to mental health problems considering the unique challenges they faced during the pandemic. Even though the pandemic lasted for three years, little is known about the mental health condition of this special population over this time course. The current study aimed to assess peritraumatic distress among Chinese migrants in Canada and identify its consistent risk predictors across the three years of the pandemic (2020, 2021, 2022). Three groups of Chinese adult migrants (i.e., aged 18 or above) living in Canada were randomly recruited through social media and the internet to complete an online survey in 2020, 2021, and 2022 respectively. Peritraumatic distress was assessed with the COVID-19 Peritraumatic Distress Index (CPDI). Univariate analysis of variance (ANOVA) models and a subsequent hierarchical multiple regression model were conducted to track peritraumatic distress differences across the three years and identify potential risk factors. The results showed that the CPDI score increased from 2020 to 2022 and peaked in 2021. Age, birthplace, health status, perceived discrimination, self-contraction and family contraction worry were identified as significant sociodemographic and COVID-19-related predictors for peritraumatic distress (absolute βs = 2.16–9.00; ps < 0.05). The results provide insight into the mental health condition of overseas Chinese migrants across the three years of the pandemic.

As the COVID-19 pandemic began spreading worldwide in late 2019 and early 2020, many vaccine candidates were developed to combat the disease. However, new COVID-19 variants such as Omicron and Delta continue to emerge globally despite advancements in vaccine technology, leaving certain countries and variants more vulnerable than others to future outbreaks of these variants. This research aims to analyze the susceptibility of different countries to a COVID-19 outbreak, present the first visualization of the spread of COVID-19, and predict which countries are at greater risk for future outbreaks of new variants based on various factors. We created interactive maps to understand the pandemic’s spread and identify high-risk countries based on their vaccination percentages. Then we employed binary classification, K-nearest neighbors (KNN), and neural network machine learning models to predict each country’s risk factor. The risk factor determines whether a country is safe from a new COVID-19 variant based on vaccine percentage and government stringency. The neural network achieved the highest accuracy, classifying countries as high risk or low risk with 94% accuracy. Inspired by the Albert Barabasi model, we graphed connections between countries based on vaccination percentages. These graphs illustrate the correlation between the two countries and better demonstrate how their vaccination rates relate to the probability of a new COVID-19 outbreak.

Objective: To summarize the prevalence of Long COVID symptoms among the general population reported in published articles from the pre-omicron SARS-CoV2 era. This narrative review examined 21 symptoms. Methods: A PubMed/manual search returned 114 articles on general Long COVID symptoms. Manuscripts were excluded if they were not research studies, did not report symptom prevalence, or used a pediatric population. Ninety-eight studies were selected for review and fifty-nine met the criteria for inclusion. The risk of bias was assessed with the Hoy critical appraisal tool. Results: After excluding studies with a high risk of bias, meta-analysis of prevalence for 21 symptom categories ranged from 2.6–28.7% in studies based on surveys to 0.3–7.1% in studies based on electronic health record data. Conclusions: Long COVID symptom studies are limited by the variability in study design and representation of the general population. Further research is needed to effectively cluster symptoms in meaningful ways that enable focused treatment.

The COVID-19 pandemic has had profound impact, necessitating a deeper understanding of factors influencing virus transmission. The negative impacts have weakened the economy and changed billions of lives around the world. COVID-19 is a new virus, and a lot of studies have tried to investigate its effect on, for example, the economy or environment. This research reveals new approaches to recognizing and stopping the spread of this virus with its connection to weather conditions and relevant parameters. By analyzing how temperature and humidity affect COVID-19 spread, alongside evaluating the effectiveness of initial public policies, this study addresses the critical gap in research by investigating the interplay between climate conditions and government regulations during the early stages of the pandemic in South Korea. This dual approach provides a comprehensive framework for understanding how environmental and policy factors jointly influence pandemic dynamics, offering valuable lessons for future global health crises. Although it focuses only on the first phase of South Korea COVID-19 regulations, outcomes show that these regulations were notably effective against the COVID-19 pandemic. The outcomes prove that higher temperature and higher relative humidity lead to lower transmission. Hence, based on the results during winter, the number of infections would be expected to speed up again.

Background. People living with HIV (PWH) frequently have co-morbid substance use disorders that may have been impacted by the COVID-19 pandemic. This study examined associations between COVID-related stress and increased substance use among PWH in Washington State. Methods. Between August 2020 and March 2021, we conducted an online survey of 397 PWH in western Washington. Logistic regression was used to analyze associations between a COVID-19 stress score and four self-reported outcomes: increased alcohol use, increased cigarette smoking, increased marijuana use, and increased use of illicit substances. Results. Thirty-five (38.0%) of 92 participants who smoked, 61 (23.4%) of 261 participants who used alcohol, 15 (14.6%) of 103 participants who used marijuana, and 35 (33.0%) of 102 participants who used illicit substances reported increased use of these substances. Higher COVID-19 stress scores were associated with higher odds of increased cigarette smoking (adjusted odds ratio [aOR] = 1.15, 95% confidence interval [CI]: 1.04–1.27), even after adjustment for anxiety and depressive symptoms (aOR 1.14, 95%CI: 1.03–1.27). COVID-19 stress was not associated with an increased use of alcohol, marijuana, or illicit substances. Conclusions. COVID-19-related stress was associated with self-reported increased cigarette smoking among PWH in western Washington during the pandemic.

Approximately 31% of patients previously infected with SARS-CoV-2 are living with symptoms of long COVID in the United States. Long COVID significantly reduces quality of life and increases morbidity and disability; however, treatment options are limited. Enhanced External Counterpulsation (EECP) is an FDA-approved, non-invasive treatment for the management of cardiovascular symptoms with a mechanism of action which stimulates pathways that induce endothelial homeostasis, improving microvascular function, inflammation, and immune regulation, thereby potentially targeting the underlying etiology of long COVID. We recently reported that EECP improved symptoms in 231 patients with long COVID. Previous studies assessing the effects of EECP for long COVID have lacked a control group. As such, this analysis is the first comparing outcomes in patients with long COVID undergoing EECP (n = 33) to a non-treated group (control, n = 33). The patients were matched for baseline characteristics, and all patients completed patient-reported outcome assessments, including PROMIS Fatigue, the Duke Activity Status Index (DASI), and the Rose Dyspnea Scale (RDS), two times within a specified time interval. When comparing the average change from baseline in both groups, the EECP-treated patients’ improvement was significantly greater than the improvement in the control group across all measured endpoints, including PROMIS Fatigue (−15.0 ± 8.9 vs. −2.8 ± 5.9, p < 0.001) and DASI (+17.8 (11.8, 26.8) vs. +1.8 (−3.5, 5.5), p < 0.001), and there was an improvement of ≥1 in the RDS class (75.8% vs. 33.3%, p < 0.001). This study’s limitations include the small sample size and lack of information regarding concurrent treatments or interventions in the non-treated group; however, these preliminary data support EECP as a potential low-risk treatment option for patients with long COVID.

Subjective well-being (SW) is understood as the personal judgment that an individual has about their value, perception, and level of satisfaction with respect to his or her life and existence. The present study had the purpose of understanding how pandemics have affected subjective well-being; therefore, the objective was to determine the subjective well-being of the staff at a teaching dental center in a COVID-19 epidemiological surveillance system between the years 2020 and 2022. A cross-sectional design was applied and was based on data from two records of the Centro Dental Docente of the Universidad Peruana Cayetano Heredia, Lima, Peru, between the years 2021 and 2022. The results show that the mean SW did not significantly vary (p = 0.114) between 2021 (69.32; SD = 19.92) and 2022 (63.16; SD = 29.87). At a bivariate level, significant associations were also observed between SW and multiple variables such as the diagnosis and type of COVID-19, vaccination, contact with COVID-19 patients, systemic conditions, body mass index, educational level, gender, and age. Meanwhile, according to the regression analysis, not having COVID-19 was positively associated with higher levels of subjective well-being. This study highlights the impact of the COVID-19 pandemic on the mental and emotional states of dental healthcare personnel, emphasizing the need for strategies to mitigate stress and anxiety in such critical work environments.

COVID-19, a novel infectious disease caused by the emergence of the SARS-CoV-2 virus in 2020, has had a profound impact on healthcare, both at the individual and population level. The impact at the population level was felt most acutely during the emergency phase of the pandemic, with hospital capacity issues leading to widespread disruptions and delays in the delivery of healthcare services such as screening programs and elective surgeries. While hospitals are no longer being acutely overwhelmed by COVID-19 patients, the impact of the virus on vulnerable patient populations such as cancer patients continues to be of ongoing consequence. Cancer patients remain at high risk of hospitalization, ICU admission, and death due to COVID-19, even in the era of vaccination. Infection prevention and risk mitigation strategies such air quality control, masking, testing, vaccination, and treatment should therefore be integrated into the usual care and counseling of cancer patients moving forward to avoid preventable morbidity and mortality from this infection and ensure the safety of this vulnerable cohort as they navigate their cancer diagnosis and treatment in the era of COVID-19.

The COVID-19 pandemic and other infectious diseases continue to threaten public health, particularly in densely populated informal settlements. Effective hand hygiene, supported by alcohol-based hand sanitizers (ABHS), plays a critical role in preventing disease transmission. This study assessed the quality, safety, and compliance of ABHS used in informal settlements around Cape Town. A total of 78 samples were collected from spaza shops, with 72 analyzed using gas chromatography with flame ionization detection. The results showed that 76% of ethanol-based sanitizers met compliance standards, while 24% did not. Isopropanol compliance (≥70%) was only observed in 36% of samples, with 64% failing to meet Centers for Disease Control and Prevention (CDC) guidelines. Overall, 74% of hand sanitizers complied with recommended alcohol concentrations by the U.S. Food and Drug Administration (FDA) and CDC, while 26% posed a health risk due to non-compliance. These findings emphasize the urgent need for stricter regulation and public education to ensure effective hand sanitizers are used, thereby reducing infection risks in vulnerable populations. The study aims to inform public health policies and improve regulatory standards.

As a framework for understanding the structural factors that affect health, the social determinants of health (SDoH) have particular significance during the developmental stage of adolescence. When the global coronavirus pandemic (COVID-19) began, public health measures (PHMs) implemented to curb its spread shifted adolescents’ daily lives and routines, initiating changes to their mental health. The purpose of this study was to apply the SDoH to investigating the impacts of the pandemic-related PHMs on the mental health of adolescents in Canada. Using a youth engagement approach, interviews were conducted with 33 adolescents aged 14–19 years from two sites in Alberta, Canada. Participants shared their experiences of adjusting to the PHMs and how these shaped their mental health. Findings indicate that PHMs particularly affected the social determinants of education, access to health services, employment and income security, and social support amongst adolescents as online schooling, loss of connection with peers, income instability, and limited health services affected their mental health. Most commonly, adolescents expressed feeling greater anxiety, depression, or loneliness as the SDoH shifted with the PHMs. As we continue to understand the mental health impacts of the pandemic, the SDoH framework can be used to identify salient social determinants and evaluate these determinants post-pandemic. This study draws attention to the need for policies and programs that protect access to key SDoH at such a critical life stage as adolescence and promote their mental health resilience in shifting SDoH contexts.

This study explores the impact of the COVID-19 pandemic on the motivation of medical students using a mixed-method, user-led approach with students as both participants and researchers. Data were collected in 2021 through essays describing students’ motivation during the pandemic. The essays were coded, categorized, quantified, and statistically analyzed for gender-based differences. Results showed that while 71% of students reported increased motivation, female students more often experienced fluctuating motivation levels. Key motivational factors included career aspirations and educational purpose, whereas demotivational factors involved disruptions to college life and mental health struggles. Notably, female students disproportionately expressed doubts about the medical profession. The study also utilized a collaborative autoethnographic method to explore the researchers’ own pandemic experiences, revealing long-term positive effects and resonating with initial findings. This research contributes to understanding the pandemic’s long-term impact on medical students and offers insights into nurturing resilient future doctors capable of handling healthcare crises.

Objectives: This study aims to measure, at two time points, the relationship between self-perceived global stress and the personality traits of the mothers of children who have central auditory processing disorder (APD) and compare it with the results from mothers of typically developing (TD) children. The comparisons were made before the COVID-19 pandemic, as well as late in the pandemic. Methods: The level of stress was assessed using the Perceived Stress Scale (PSS-10), while the Short Big Five Markers (IPIP-BFM-20) were used to assess Big Five personality traits. The study used two independent samples: one evaluated before the COVID-19 pandemic and the other late in the pandemic. Each sample consisted of 108 mothers of children with APD and 79 mothers whose children did not have APD (TD children) as controls. Results: The average global stress levels were similar in mothers of children with APD and in mothers of TD children, both before and in the late stage of the COVID-19 pandemic. During the late stage, both sets of mothers scored similarly on all personality dimensions, but significantly, mothers of TD children exhibited lower emotional stability compared to during the pre-pandemic period. In both groups, emotional stability predicted global stress level at both time points; however, during the pandemic, conscientiousness also became a predictor of global stress level but only in the group of mothers of TD children. Conclusions: Mothers of APD children might be more resistant to additional stressors. It would be prudent to watch mothers of APD and TD children for signs of needing psychological intervention.

(1) Background: This study aims to assess visceral fat values, waist circumference (WC), body mass index (BMI), and body fat percentage for their ability to predict poor outcomes during COVID-19 patients’ hospitalization; (2) Methods: This study was a prospective cohort of mild–moderate COVID-19 patients hospitalized at Dr. Cipto Mangunkusumo National General Hospital from December 2020 to March 2021. This study includes hospitalized patients over 18 diagnosed with COVID-19 using RT-PCR. Patients who do not have chest radiography, waist circumference, a bioimpedance analyzer (BIA) error, or are unable to stand or mobilize during the examination are excluded from this study. Cox regression was used for multivariate analysis; (3) Results: The study included two hundred sixty-one patients. The median visceral fat value was 10 (equivalent to 100 cm2), the WC was 93.4 cm, the BMI was 26.1 kg/m2, and the body fat percentage was 31.5%. Based on multivariate Cox regression, WC was statistically significant as an independent factor influencing poor outcomes in COVID-19 patients (RR 1.037 [95% CI 1.011–1.064]) along with COVID-19 degree of severity (RR 3.063 [95% CI 1.537–6.104]) and comorbidities (RR 2.123 [95% CI 1.017–4.435]); (4) Conclusions: Waist circumference can influence poor outcomes in confirmed COVID-19 patients during hospitalization.

This study aims to describe the long-term changes in the knowledge of, and attitudes towards, COVID-19 and its preventive measures in northern Spain. A telephonic survey was performed among household contacts of COVID-19 cases in Catalonia and Navarre between May 2022 and December 2023. Knowledge and attitudes were assessed through 12 questions using a Likert scale, and responses were grouped as correct or incorrect. The change from baseline to the 6-month follow-up was evaluated with the absolute difference (AD) using the proportion of correct answers. At baseline, 299 subjects were contacted, of whom 63.2% (189) completed the 6-month follow-up. Correct knowledge of transmission (>85%) and the use of preventive measures (>92%) were observed at baseline and maintained over time. The attitudes towards face mask use remained adequate over the course of six months (>79%). However, attitudes regarding the use of face masks indoors (AD = −16.4%; p < 0.001) and those who thought that COVID-19 had a negative impact on their lives (AD = −16.5%; p < 0.001) decreased after 6 months. In the post-acute phase of the pandemic, household contacts maintained the correct level of knowledge towards COVID-19, while some attitudes decreased. These results should serve as a guide for health policy makers in decision-making in case of a new increase in the incidence of SARS-CoV-2.

Evidence suggests that COVID-19 infection increases the risk of type 1 (T1D) and type 2 diabetes (T2D). Diabetes, in turn, increases COVID-19 susceptibility and contributes to increased COVID-19 morbidity and mortality. Oxidative stress has emerged as a common factor driving the pathogenesis of diabetes and COVID-19 caused by the severe acute respiratory syndrome coronavirus. The mechanistic links between oxidative stress, diabetes, and COVID-19 have primarily been studied in adults and will be summarized in this review. However, we suggest that studying these interconnections in children and young adults is critical since early intervention is optimal for improving outcomes. At the height of the pandemic, COVID-19 was a leading cause of death in children and young people, and people in this age group are as susceptible to COVID-19 as adults and the elderly. Glutathione is the primary water-soluble intracellular antioxidant and can be deficient in both diabetes and COVID-19. Glutathione is a tripeptide containing cysteine, glutamic acid, and glycine. Strategies to increase glutathione levels may be beneficial in helping to manage COVID-19-induced diabetes and diabetes-induced COVID-19 risk. Dietary supplementation with glycine plus n-acetyl-l-cysteine may be optimal since it contains two metabolic glutathione precursors.

Understanding direct and indirect relationships of environmental, socio-economic and climate variables and the dynamics of epidemics is key to guiding targeted public health policy and interventions. This study investigates the direct and indirect effects of environmental and socio-economic factors on the COVID-19 dynamics in Africa (54 African countries from 2019 to 2021) using SEM approach. Specifically, the study aimed to: (i) assess the performance of two SEM estimation methods (Lisrel and PLS-SEM) in relationship to sample size (100, 200, 500, and 1000) and level of model complexity (No, two, and four indirect effects) and (ii) use the most performing SEM estimation method to examine direct and indirect effects of factors influencing the number of cases and deaths of COVID-19 in Africa. The results highlight a positive spatial correlation between factors such as temperature, humidity, age, the proportion of people aged over 65, and the COVID-19 incidence. Under the control of confounding factors, Lisrel turns out to be the most performing method, identifying climate, demographic and economic factors as the main determinants of COVID-19 dynamics. These factors have a direct and significant impact on the incidence of COVID-19. An indirect relationship was also observed between economic factors and the incidence of COVID-19 through air pollutants. The results highlight the importance of considering these factors in understanding the spread of the virus to avoid further disasters.

Background: To evaluate analgesic practices in perioperative treatment during the SARS-CoV-2 pandemic; recording parameters collected in the PAIN OUT database, and to compare COVID and no-COVID data. Methods: Data were analyzed for 277 patients (87 COVID-19 confirmed diagnosis and 190 non-COVID): years aged, gender, minutes of surgery duration, Likert Scale punctuation, hours in severe pain, minimum and maximum pain intensity, interference with sleep quality, anxiety, need for help, nausea, drowsiness, itching, dizziness, perception of care, pain relief, participation, satisfaction, and information received. Results: Postoperative mortality 1 month after surgery was recorded at 25.3% in COVID-19. Significant differences were found in postoperative pain intensity (p = 0.019), time with severe pain (p < 0.01), lower sleep quality (p < 0.01), and better outcomes in functional items (p < 0.01); there were more side effects and satisfaction with pain relief (p < 0.01) in COVID-patients than with no COVID-19 patients. Conclusions: In conclusion, COVID-19 patients presented greater intensity and duration of severe postoperative pain, greater somnolence, pruritus, and dizziness, lower physical activity limitation, and higher quality index.

The COVID-19 pandemic, instigated by the emergence of the novel coronavirus, SARS-CoV-2, created an incomparable global health crisis. Due to its highly virulent nature, identifying potential therapeutic agents against this lethal virus is crucial. PLpro is a key protein involved in viral polyprotein processing and immune system evasion, making it a prime target for the development of antiviral drugs to combat COVID-19. To expedite the search for potential therapeutic candidates, this review delved into computational studies. Recent investigations have harnessed computational methods to identify promising inhibitors targeting PLpro, aiming to suppress the viral activity. Molecular docking techniques were employed by researchers to explore the binding sites for antiviral drugs within the catalytic region of PLpro. The review elucidates the functional and structural properties of SARS-CoV-2 PLpro, underscoring its significance in viral pathogenicity and replication. Through comprehensive all-atom molecular dynamics (MD) simulations, the stability of drug–PLpro complexes was assessed, providing dynamic insights into their interactions. By evaluating binding energy estimates from MD simulations, stable drug–PLpro complexes with potential antiviral properties were identified. This review offers a comprehensive overview of the potential drug/lead candidates discovered thus far against PLpro using diverse in silico methodologies, encompassing drug repurposing, structure-based, and ligand-based virtual screenings. Additionally, the identified drugs are listed based on their chemical structures and meticulously examined according to various structural parameters, such as the estimated binding free energy (ΔG), types of intermolecular interactions, and structural stability of PLpro–ligand complexes, as determined from the outcomes of the MD simulations. Underscoring the pivotal role of targeting SARS-CoV-2 PLpro in the battle against COVID-19, this review establishes a robust foundation for identifying promising antiviral drug candidates by integrating molecular dynamics simulations, structural modeling, and computational insights. The continual imperative for the improvement of existing drugs and exploring novel compounds remains paramount in the global efforts to combat COVID-19. The evolution and management of COVID-19 hinge on the symbiotic relationship between computational insights and experimental validation, underscoring the interdisciplinary synergy crucial to this endeavor.

Cardiovascular diseases (CVDs) significantly exacerbate the severity and mortality of COVID-19. We aimed to investigate whether GWAS-significant SNPs correlate with CVDs in severe COVID-19 patients. DNA samples from 199 patients with severe COVID-19 hospitalized in intensive care units were genotyped using probe-based PCR for 10 GWAS SNPs previously implicated in severe COVID-19 outcomes. SNPs rs17713054 SLC6A20-LZTFL1 (risk allele A, OR = 2.14, 95% CI 1.06–4.36, p = 0.03), rs12610495 DPP9 (risk allele G, OR = 1.69, 95% CI 1.02–2.81, p = 0.04), and rs7949972 ELF5 (risk allele T, OR = 2.57, 95% CI 1.43–4.61, p = 0.0009) were associated with increased risk of coronary artery disease (CAD). SNPs rs7949972 ELF5 (OR = 2.67, 95% CI 1.38–5.19, p = 0.003) and rs61882275 ELF5 (risk allele A, OR = 1.98, 95% CI 1.14–3.45, p = 0.01) were linked to a higher risk of cerebral stroke (CS). No associations were observed with AH. Bioinformatics analysis revealed the involvement of GWAS-significant loci in atherosclerosis, inflammation, oxidative stress, angiogenesis, and apoptosis, which provides evidence of their role in the molecular mechanisms of CVDs. This study provides novel insights into the associations between GWAS-identified SNPs and the risk of CAD and CS.

Lessons learned from the effects of the COVID-19 pandemic on the well-being of teachers reveal how school administrators can promote teacher stress adaptation and thriving, even in highly disruptive work environments. In a mixed-methods study within a single school district in Canada, consisting of a survey of 65 K-12 teachers and interviews with 10 administrators and teachers, the results showed the degree to which teachers were coping, had job satisfaction, and demonstrated thriving. Interviews yielded information on the limitations of the education system response and how school district administration could provide additional key resources that would strengthen individual stress coping and resiliency, create a culture of safety and community, and lay the foundations for teacher thriving, even in challenging and disruptive conditions

Objective: Understanding both the positive and negative psychological outcomes among cancer patients during the pandemic is critical for planning post-pandemic cancer care. This study (1) examined levels of psychological distress and post-traumatic growth (PTG) among Canadian cancer patients during the COVID-19 pandemic and (2) explored variables that were associated with psychological distress and PTG during the pandemic using a biopsychosocial framework. Method: A cross-section survey was undertaken of patients receiving ongoing care at a regional cancer centre in Ontario, Canada, between February and December 2021. Self-reported questionnaires assessing sociodemographic information, social difficulties, psychological distress (depression, anxiety fear of recurrence, and emotional distress), PTG, illness perceptions, and behavioural responses to the pandemic were administered. Disease-related information was extracted from patient health records. Results: Prevalences of moderate to severe levels of depression, anxiety, fear of recurrence and emotional distress were reported by 26.0%, 21.2%, 44.2%, and 50.0% of the sample (N = 104), respectively. Approximately 43% of the sample reported experiencing high PTG, and these positive experiences were not associated with levels of distress. Social factors, including social difficulties, being female, lower education, and unemployment status were prominent associative factors of patient distress. Perceptions of the pandemic as threatening, adopting more health safety behaviours, and not being on active treatment also increased patient likelihood to experience severe psychological distress. Younger age and adopting more health safety behaviours increased the likelihood of experiencing high PTG. The discriminatory power of the predictive models was strong, with a C-statistic > 0.80. Conclusions: Examining both the positive and negative psychological patient outcomes during the pandemic has highlighted the complex range of coping responses. Interventions that adopt a multi-pronged approach to screen and address social distress, as well as to leverage health safety behaviours, may improve the adjustments in the pandemic aftermath.

COVID-19 has had unprecedented effects on construction markets globally due to supply chain disruptions and workforce restrictions, etc. However, construction industries in developing countries are more vulnerable to the obstacles associated with the pandemic. As such, the goal of this paper is to capture the impact of COVID-19 on construction projects’ performance in developing countries by taking the Pakistani construction sector into perspective. A multistep project-based research methodology was adopted, including a literature analysis and questionnaire survey with 20 construction professionals to assess factors affected by COVID-19; formulation of open-ended questions against each factor; collecting data using semi structured interviews; and presenting challenges and adopted mitigation strategies to examine the perceived impact. Results showed that the pandemic has caused a total of 13 factors to impact the project performance, which are grouped under four construction groups, including material and equipment, human resource, occupational health and safety, and financial and contracts. The factors impacted the most by the pandemic are cash flow management, supply chain disruptions, increased overheads, construction safety measures, material shortage, contractual issues, and construction workforce. This research contributes to the body of knowledge by providing a foundation for researchers to enhance investigating the impact of the COVID-19 in developing countries.

Understanding the factors that influence the intention to use vaccines is crucial for implementing effective public health policies. This study examined the impact of various cognitive, affective, normative, and sociodemographic variables on the intention to be vaccinated against COVID-19 with the first-generation AstraZeneca vaccine. A survey of 600 residents of Spain was used to assess the influence and hierarchy of the drivers of the intention to vaccinate via least-squares and quantile regressions. The most significant factors were the perceptions of efficacy and social influence, both of which had positive impacts (p < 0.0001). The positive influence of fear of COVID-19 and the negative influence of fear of the vaccine were also significant in shaping the central tendency toward vaccination. However, these fear-related variables, particularly the fear of COVID-19, lost importance in quantile adjustments outside the central tendency. Among the sociodemographic variables, only the negative impact of income was statistically significant. These results are valuable for the development of vaccination policies because they measure the sensitivity of attitudes toward vaccination to exogenous variables not only in the central values, as is common in similar studies, but also across the entire range of responses regarding the intention to vaccinate. This additional analysis, which is not commonly performed in studies on vaccine acceptance, allows us to distinguish between variables which are consistently related to the intention to vaccinate and those that influence only expected responses.

Aim: Respiratory viruses significantly impact public health, contributing to high morbidity and mortality rates in both children and adults. This study evaluates the distribution and incidence of respiratory tract viruses in our hospital from 2019 to 2022, focusing on changes post-COVID-19 pandemic. Material and Methods: Utilizing molecular methods, we analyzed nasopharyngeal swabs with the FTD Respiratory Pathogens 21 kit and the QIAStat Dx Respiratory Panel kit at Istanbul Faculty of Medicine. A total of 1186 viruses were detected in 2488 samples (47.6% of the total) examined with the FTD Respiratory Pathogens 21 kit between 2019 and 2022. Results: It was determined that the detection rates were 52.8% in 2019, 44.3% in 2020, 50.0% in 2021, and 40.0% in 2022. Notable changes in prevalence were observed for pandemic influenza A (IAV-H1N1pdm2009), parainfluenza virus (PIV)-3, rhinovirus (RV), and respiratory syncytial virus (RSV)-A/B (p < 0.05). RV consistently showed the highest detection rates across all years (17.6% to 7.9%). Additionally, 1276 viruses were detected in 1496 samples using the QIAStat DX kit, with 91.3% positivity in 2021 and 78.6% in 2022, highlighting the kit’s effectiveness in rapid diagnosis. Conclusions: This study enhances understanding of respiratory virus epidemiology during and after the pandemic, emphasizing the need for ongoing surveillance and strategic public health measures to address the evolving landscape of respiratory infections.

The emergence of COVID-19 has evolved into a global pandemic, causing an unprecedented public health crisis marked by unprecedented levels of morbidity never seen in the recent past. Considerable research efforts have been made in the scientific community to establish an optimal method to identify severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and to understand the induced immune response. This review examined the development of serological tests during the COVID-19 pandemic, considering the factors affecting sensitivity and specificity, which are key to promote an efficient vaccination strategy for public health. The market has witnessed the introduction of various serological tests for the detection of SARS-CoV-2, such as the chemiluminescence immunoassay (CLIA), which emerged as a powerful and rapid tool to monitor the antibody response before and after vaccination or infection. Therefore, developing serological tests by studying antibody trends and persistence is essential for creating long-term strategies. Our analysis underscores the multifaceted applications of serological tests in pandemic management with a focus on the critical insights they provide into antibody dynamics that help in managing the ongoing pandemic and shaping future public health initiatives, providing a basis for optimizing the future response to viral threats.

Objective: To evaluate how access to an office-based laboratory (OBL) and ambulatory surgery center (ASC) impacted vascular care during the Coronavirus Disease 2019 (COVID-19) pandemic. Methods: Vascular procedures performed by our group during the 6-week period before COVID-19 restrictions (group 1) and in the first 6-week period during the COVID-19 restrictions (group 2) were reviewed. The number of procedures performed was categorized as hospital inpatient (HIP), hospital outpatient (HOP), OBL, ASC, and vein center (VC). The procedures were also grouped by type: aneurysm (AAA), carotid (CAR), peripheral arterial disease (PAD), amputation/wound care (AMP), vascular access (VA), deep vein thrombosis (DVT), and venous reflux (CVI). The number of healthcare provider contact points for each patient undergoing care at the HOP, OBL, and ASC were also collected and compared between groups 1 and 2. Differences between groups were determined using the two-way ANOVA. Results: There were no statistically significant differences between groups 1 and 2 for procedure location or type of procedure (p > 0.05). Patient contact with healthcare providers decreased between groups 1 and 2 for ambulatory care. However, projecting the number of contacts for patients in group 2 if they had to have ambulatory care in the HOP setting (913) compared to contacts in the OBL and ASC setting (588) was statistically significant (p < 0.05). No patient or staff member at the OBL or ASC developed COVID-19 infection because of the care received at these venues. Conclusions: The ability to provide essential care for patients in an ambulatory environment was enhanced using our OBL and ASC without compromising safety, efficacy, or transmission of the virus to patients or staff during the height of the COVID-19 pandemic and limited their contact with healthcare workers and therefore reduced the consumption of personal protective equipment by healthcare personnel.

In the pursuit of advancing COVID-19 diagnosis through imaging, this paper introduces a novel approach utilizing adaptive Fourier neural operators (AFNO) for the analysis of high-resolution computed tomography (HRCT) chest images. The study population comprised 395 patients with 181,106 labeled high-resolution COVID-19 CT images from the HRCTCov19 dataset, categorized into four classes: ground glass opacity (GGO), crazy paving, air space consolidation, and negative for COVID-19. The methods included image preprocessing, involving resizing and normalization, followed by the application of the AFNO model, which enables efficient token mixing in the Fourier domain independent of input resolution. The model was trained using the Adam optimizer with a learning rate of 1 × 10−⁴ and evaluated using metrics such as accuracy, precision, recall, and F1 score. The results demonstrate AFNO’s superior performance in few-shot segmentation tasks over traditional self-attention mechanisms, achieving an overall accuracy of 94%. Specifically, the model showed high precision and recall for the GGO and negative classes, indicating its robustness and effectiveness. This research has significant implications for the development of AI-powered diagnostic tools, particularly in environments with limited access to high-quality imaging data and those where computational efficiency is critical. Our findings suggest that AFNO could serve as a powerful model for analyzing HRCT images, potentially leading to improved diagnosis and understanding of COVID-19, representing a critical step in combating the pandemic.

This study offers an in-depth analysis of the COVID-19 pandemic’s trajectory in several member countries of the European Union (EU) in order to assess similarities in their crisis experiences. We also examine data from the United States to facilitate a larger comparison across continents. We introduce our new approach, which uses a spatiotemporal algorithm to identify five distinct and recurring phases that each country underwent at different times during the COVID-19 pandemic. These stages include: Comfort Period, characterized by minimal COVID-19 activity and limited impacts; Preventive Situation, demonstrating the implementation of proactive measures, with relatively low numbers of cases, deaths, and Intensive Care Unit (ICU) admissions; Worrying Situation, is defined by high levels of concern and preparation as deaths and cases begin to rise and reach substantial levels; Panic Situation, marked by a high number of deaths relative to the number of cases and a rise in ICU admissions, denoting a critical and alarming period of the pandemic; and finally, Epidemic Control Situation, distinguished by limited numbers of COVID-19 deaths despite a high number of new cases. By examining these phases, we identify the various waves of the pandemic, indicating periods where the health crisis had a significant impact. This comparative analysis highlights the time lags between countries as they transitioned through these different critical stages and navigated the waves of the COVID-19 pandemic.

Background: Accurate and rapid testing for COVID-19 is critical for effective disease management and control. The One-Step-COVID-2019-Test was developed as a rapid serological test to detect antibodies against SARS-CoV-2. Objective: To estimate the accuracy of the rapid serological test for COVID-19 using One-Step-COVID-2019. Methods: We conducted a population-based serological survey with a stratified sampling of 593 adults between October and December 2020, prior to mass vaccination and during a period of limited availability of rapid tests. Participants provided 7.5 mL of serum, which was tested using the One-Step-COVID-2019-Test for IgM-IgG antibodies without distinction, as well as an in-house ELISA for IgG against the spike protein. Statistical analysis accounted for sampling weights, with accuracy assessed through sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), Youden index, and kappa coefficient, using ELISA as the reference standard. McNemar’s test identified significant differences between the test results. Results: The ELISA-based prevalence of infection was 11.1%. The One-Step-COVID-2019-Test showed low sensitivity (27.0–30.8%) but high specificity (89.9–96.6%), with poor agreement (kappa: 0.290–0.337), particularly among asymptomatic individuals. Conclusions: The One-Step-COVID-2019 rapid test for COVID-19 demonstrated inadequate performance, characterized by low sensitivity and poor reliability, making it unsuitable for effective serological surveillance.

Background: The rising incidence of COVID-19 cases is undeniably having a profound impact on the physiological and psychological welfare of individuals. The incident had the potential to significantly affect an individual’s quality of life, social interactions, and occupational performance. The study explored the experiences of individuals who recovered from COVID-19 and the impact of their illness on their psychological and overall well-being. Methods: A qualitative, phenomenological study was conducted in Oman among 15 patients aged 20 to 60 years, who had been hospitalized at Royal Hospital with moderate to severe symptoms and signs of COVID-19. An in-depth interview was used to collect data. Thematic analysis was carried out to analyze the data using the Braun and Clarke model framework for the analysis. Results: Three themes emerged from the study: (1) The impact of COVID-19 on the survivors; (2) factors that improved patients’ recovery; (3) lessons learned from COVID-19 pandemic. A recent study found important intrinsic and extrinsic factors that helped COVID-19 patients recover quickly. Conclusions: COVID-19 impacted the individuals’ physiological and psychological health. The findings can inform Oman’s psychological support services and raise awareness of the virus’s psychological impact on mental health. The study may help to design a tailored psychological intervention to improve the mental well-being of COVID-19 survivors for better experience and quality of life.

Amid the array of challenges prompted by the COVID-19 pandemic, the policy response of governments proved vital. Different states in the U.S. pursued varied policy approaches that demonstrated distinct divergences in impact. Particularly, contrasting state contexts produced markedly assorted frameworks for the delivery of public health services, which indicate potential effects for COVID-19 policy implementation. Using the rates of COVID-19 vaccination as a measure of policy execution, the purpose of this study is to examine the political and administrative influences contributing to differences in COVID-19 public health policy outcomes among the states in the U.S. Ordinary least squares (OLS) regression models included data sources of nationally representative information pertaining to state public health attributes of politics and administration during the height of the pandemic and vaccine campaign. The findings suggest that state political leadership and fiscal capacity display significant associations with COVID-19 vaccination disparities, while other administrative indicators did not. The results signal important policy implications for the politics–administration dynamic within the COVID-19 pandemic and offer further understanding toward the roles of federalism and governance in future public health emergencies.

Background: The COVID-19 pandemic has brought about widespread effects on communities on a global scale, with impacts varying among different demographics. This study focuses on a unique cohort of COVID-19-positive patients from Arunachal Pradesh, a region in northeast India with a substantial indigenous population. This study aims to delve into the features and consequences of COVID-19 in this indigenous population within this distinct demographic region, with a special focus on assessing the effects on tribal communities. Out of a total of 1627 COVID-19 positive cases, 1392 belonged to various tribes of Arunachal Pradesh, categorized as the indigenous population of the region. Our research primarily focuses on examining the biochemical and inflammatory indicators that forecast the clinical results of COVID-19 patients, specifically within both indigenous and non-indigenous groups. Methods: Biochemical markers, including hematological parameters, liver and kidney function biomarkers, D-DIMER, and inflammatory markers, were assessed along with immune-inflammatory ratios: neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR). Differences in biomarker levels and ratios across disease severities were analyzed, and significant data were observed using descriptive statistics. Results: Elevated levels of Ferritin (CRP, IL-6, D-DIMER, Creatinine, Urea, AST/SGOT, and ALT/SGPT) were associated with increasing disease severity in COVID-19 cases, reflecting increased inflammation, multi-organ dysfunction, and coagulopathy in the severe COVID-19 category amongst the indigenous population. The data showed an aligned report with the non-indigenous population of India when compared with various other studies (using a Spearman rank correlation test). Similarly, an increase in the neutrophil-to-lymphocyte ratio (NLR) and a declining shift in the lymphocyte-to-monocyte ratio (LMR) indicated deregulated immune responses and systemic inflammation in the severe category of COVID-19. Conclusion: This population-based study from northeast India offers important perspectives into the pathophysiology of COVID-19 and its link with disease severity among indigenous and non-indigenous populations.

The COVID-19 pandemic has spread worldwide for over two years. It was considered a significant threat to global health due to its transmissibility and high pathogenicity. The standard test for COVID-19, namely, reverse transcription polymerase chain reaction (RT–PCR), is somehow inaccurate and might have a high false-negative rate (FNR). As a result, an infected person with a negative test result may unknowingly continue to spread the virus, especially if they are infected with an undiscovered COVID-19 strain. Thus, a more accurate diagnostic technique is required. In this study, we propose 3Cs, which is a capsule neural network (CapsNet) used to classify computed tomography (CT) images as novel coronavirus pneumonia (NCP), common pneumonia (CP), or normal lungs. Using 6123 CT images of healthy patients’ lungs and those of patients with CP and NCP, the 3Cs method achieved an accuracy of around 98% and an FNR of about 2%, demonstrating CapNet’s ability to extract features from CT images that distinguish between healthy and infected lungs. This research confirmed that using CapsNet to detect COVID-19 from CT images results in a lower FNR compared to RT–PCR. Thus, it can be used in conjunction with RT–PCR to diagnose COVID-19 regardless of the variant.

Patients who survive critical COVID-19 frequently report post-acute sequelae of COVID-19 (PASC) such as psychosomatic and neurocognitive health problems. The goal of this study was to identify clinical risk factors and other predictors for such long-term consequences in severely ill COVID-19 patients. Adult COVID-19 intensive care unit (ICU) survivors from August 2020 to May 2021 were enrolled. A broad range of clinical, laboratory and chest computed tomography (CT) data was collected during their ICU stays. The association between ICU predictors and psychosomatic, respiratory, and neurocognitive assessments 12 months after ICU discharge was analyzed using univariate regression analysis. In 17 patients (mean age 58.9 ± 11.4 years), laboratory markers (CRP, lymphocytes, hemoglobin), ICU severity (SOFA, SAPS II, need for mechanical ventilation), complications (ARDS), and lung CT data (ground-glass opacity) were promising predictors of depressive and anxiety symptoms, fatigue, and sleep problems. Recovery of psychosomatic health such as fatigue, depression, and anxiety correlated with lower levels of inflammation and high hemoglobin levels. ARDS, mechanical ventilation, and worse SOFA and SAPS II scores were further risk factors for depressive and anxiety symptoms. Our study identified novel associations such as pulmonary ground-glass opacity being positively associated with depression, anxiety, fatigue, and insomnia levels.

The COVID-19 pandemic disrupted dental education significantly, forcing adaptations in both didactic and clinical curricula. This study evaluates the impact of COVID-19 on dental students’ mental health and perceptions of the SARS-CoV-2 vaccine. An anonymous online survey was administered to dental students at Roseman University of Health Sciences, focusing on health experiences and vaccination perceptions. Results showed 56.8% of students were concerned about their emotional health, 82.1% felt stressed, and 60.6% felt depressed. About 81.9% received the vaccine, with 75.5% believing it effective, though only 55.3% supported mandatory vaccination. The pandemic negatively impacted students’ emotional health, indicating a need for institutional mental health support. This study was conducted during the COVID-19 pandemic, and findings relate specifically to that period. Further research can focus on investigation of reasonings behind the sentiments.

Objectives: We aimed to assess the prevalence of long COVID-19 and estimate the average time to its diagnosis and meta-regression for covariates. Methods: We conducted a systematic review, meta-analysis, and meta-regression from 43 studies (367,236 patients) (June 2020–August 2022). With the random-effects model, the pooled prevalence of long COVID-19 was measured. Publication bias was ascertained, and meta-regression analysis was performed on predetermined covariates. The trial was registered with PROSPERO (CRD42022328509). Results: The pooled prevalence of long COVID-19 was 42.5% (95% CI 36% to 49.3%), with 25% and 66% at four and two months, respectively. Mostly, long COVID-19 signs and symptoms occurred at three (54.3%) to six (57%) months (p < 0.0001), further increasing at 12 months (57.9%, p = 0.0148). Hypertension was significantly associated with long COVID-19 at 32% (0.322 (95% CI 0.166, 0.532) (p < 0.001) and hospital re-admission contributed to 17% (Q = 8.70, df = 1, p = 0.0032) (R2 = 0.17). All the covariates explained at least some of the variance in effect size on long COVID-19 at 53% (Q = 38.81, df = 19, p = 0.0047) (R2 analog = 0.53). Conclusion: The prevalence of long COVID-19 was 42.5% when linked with a cardiovascular disorder. Hospital re-admission majorly predicted the incidence of long COVID-19. Clinical and methodological characteristics in a specific study contributed to over 50% of long COVID-19 events, with most signs and symptoms occurring between 3 and 6 months and increasing at 12 months.

Vaccines decrease morbidity and mortality. Nevertheless, their benefits depend on public response. During COVID-19, vaccine hesitancy and refusal were rampant, threatening public health. A thorough understanding of opponents’ arguments is required to address the diffusion of unreliable information on social media and prevent vaccine hesitancy from developing into vaccine refusal. The focus on the opponents’ viewpoints and their justifications makes the study unique. Accordingly, textual content analysis of reader comments on three health-related Israeli Facebook pages was conducted. Data collection encompassed the Israeli COVID-19 vaccination period from October 2020 to May 2022. The comments were analyzed according to the health beliefs model (HBM). We found that vaccine opponents were characterized by low perceptions of the severity of the disease combined with high perceptions of the damages of the vaccine; low perceived benefits of vaccine compliance; vaccine hesitancy and fear along with public distrust as barriers to change; and call for action to resist the vaccine and spread related anti-establishment views on the web. Hesitancy was found to develop into public distrust in the state systems and escalate into conspiracy beliefs and anti-vaccination activism. These results are important and instructive that early detection is necessary to prevent future vaccine resistance.

Skepticism of COVID-19 has consequences for public health. We examined several variables that we reasoned were related to skepticism, including demographic factors, people’s perceptions and experiences related to COVID-19, and social media usage. The sample consisted of 294 participants recruited in April of 2020. Participants filled out a survey that included questions related to demographics, social media use, COVID-19 anxiety, COVID-19 interference, and COVID-19 skepticism. In the main, biological sex, ethnicity, and social media use were not significantly associated with skepticism regarding COVID-19. Alternatively, older participants and those who experienced greater anxiety related to the pandemic were less skeptical of COVID-19. Interestingly, people who experienced more interference in their lives because of COVID-19 were more skeptical of the pandemic. Finally, social media use moderated the influence of anxiety and interference on skepticism. The negative effect of anxiety on skepticism became weaker as people’s use of social media increased. The positive effect of interference related to COVID-19 on skepticism became stronger as people used more social media. Our findings underscore the importance of personal beliefs, attitudes, and experiences when explaining skepticism of the pandemic.

Objective: The COVID-19 pandemic has raised significant concerns about public health, particularly in terms of mental well-being due to heightened fear and uncertainty. The findings of this study are based on a survey conducted to evaluate the mental health status of the general population in Croatia during the COVID-19 pandemic. Methods: A survey conducted randomly and cross-sectionally included 588 respondents from all 21 counties in Croatia. The survey gathered demographic data and assessed various factors related to pandemic response measures and mental health using the Mental Health Continuum—Short Form (MHC-SF) scale. Results: Despite feeling adequately informed about COVID-19 (76.0%), most respondents (60.8%) expressed concerns about their loved ones during the pandemic. There were significant numbers who felt there was no risk of infection (50.9%) or believed they would not get infected (40.2%), while 72.4% were content with government measures. A statistical analysis indicated that mental health was not significantly different between genders, but age-related differences were evident, with those under 21 experiencing the most distress. The lowest level of psychological and social well-being was observed in respondents who were unemployed. Conclusions: The study identifies vulnerable groups in the Croatian population during the pandemic, including younger individuals, those on parental leave, students, and the unemployed, who exhibited worse mental health. The importance of implementing targeted mental health interventions to support these vulnerable groups is highlighted by these findings.

We assessed depression, anxiety, and stress in healthcare workers (HCWs) in 2023 and the evolution of depression in 2023 compared with 2022. In September–November 2023, 181 HCWs from the Infectious Diseases Hospital, Cluj-Napoca, Romania, completed the Depression, Anxiety, and Stress 21 Scale (DASS-21 R), the Patient Health Questionnaire 9 (PHQ-9), and the Hamilton Anxiety Rating Scale (HAM-A). The prevalence of moderate-to-severe levels was 13.8% for DASS-Depression, 18.8% for DASS-Anxiety, 16.1% for DASS-Stress, 19.9% for PHQ-9, and 18.2% for HAM-A. Moderate-to-severe PHQ-9 depression was significantly lower in the 2023 study group (19.9%, N = 181) compared with 2022 (30.6%, N = 114) (p = 0.04), also within the 2022–2023 follow-up participants (N = 88) (p = 0.03). We did not find significant statistical differences between those infected vs. non-infected, vaccinated vs. non-vaccinated, or working with vs. not working with SARS-CoV-2 infected patients. Males were significantly more stressed (p = 0.02) and anxious (p = 0.03), and physicians in training had the highest prevalence of moderate-to-severe depression (31.6%), followed by physicians (25.6%). In 2023, depression, anxiety, and stress symptoms decreased but remained within a concerning range. By addressing these psychological issues, we may reduce the possibility of medical errors and prevent professional crises in the healthcare system.

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in more than 692 million cases worldwide and nearly 7 million deaths (August 2023). Severe COVID-19 is characterised in part by vascular thrombosis and a cytokine storm due to increased plasma concentrations of pro-thrombotic proteins such as von Willebrand factor and cytokines secreted from endothelial and T-cells. EFCAB4B is a gene that encodes for two proteins (CRACR2A and Rab46) that play important roles in endothelial and T-cell secretion. In this study, using patient data recorded in the UK Biobank, we demonstrate the importance of variants in the EFCAB4B genetic sequence with COVID-19 fatality. Using logistic regression analysis, we determined that three single-nucleotide polymorphisms (SNPs) in the gene cause missense variations in CRACR2A and Rab46, which are associated with COVID-19 fatality (rs9788233: p = 0.004, odds ratio = 1.511; rs17836273: p = 0.012, odds ratio = 1.433; rs36030417: p = 0.013, odds ratio = 1.393). All three SNPs cause changes in amino acid residues that are highly conserved across species, indicating their importance in protein structure and function. Two SNPs, rs17836273 (A98T) and rs36030417 (H212Q), cause amino acid substitutions in important functional domains: the EF-hand and coiled-coil domain, respectively. Molecular modelling shows minimal impact by the substitution of threonine at position 98 on the structure of the EF-hand. Since Rab46 is a GTPase that regulates both endothelial cell secretion and T-cell signalling, these missense variants may play a role in the molecular mechanisms underlying the thrombotic and inflammatory characteristics observed in patients with severe COVID-19 outcomes.

This study investigated the prevalence, severity, and implications of depressive and anxiety behaviors among individuals aged 30–75+ who have recovered from COVID-19. The COVID-19 pandemic has exacerbated mental health challenges, prompting a critical examination of its psychological aftermath. Employing a quantitative research design, the study utilized a cross-sectional approach to gather data from 422 participants recruited through convenience sampling from healthcare facilities, community organizations, and online platforms. Participants, who had tested positive for COVID-19 and recovered, completed standardized assessments including the Patient Health Questionnaire (PHQ-9) for depressive symptoms and the Generalized Anxiety Disorder seven-item scale (GAD-7) for anxiety symptoms. Demographic variables were also collected to explore the correlations and potential risk factors using SPSS software. Key findings highlight significant levels of depressive and anxiety-related symptoms among the study population, emphasizing the necessity for tailored interventions and support services. The study’s limitations include the inability to establish causal relationships due to its cross-sectional nature and potential biases associated with convenience sampling. Nevertheless, the research underscores the urgent need for healthcare and mental health professionals to prioritize the psychological well-being of COVID-19 survivors through targeted strategies and resource allocation. By addressing these challenges, policymakers and practitioners can enhance the resilience and recovery of individuals affected by the pandemic’s psychological toll.

Background: Over the past 100 years, the discovery of antibiotics is regarded as one of the most significant advances in medical research and has saved millions of lives. However, the emergence of antimicrobial-resistant bacteria has significantly reduced the efficacy of antibiotics against infectious disorders. Antimicrobial resistance is mostly caused by antibiotic misuse for conditions that may be treated with self-care. During the COVID-19 pandemic, antibiotic use has been out of control among the general population. Aim: The objective of this study is to investigate the prevalence of antibiotic misuse during the COVID-19 pandemic in Lebanon. Methods: In January 2024, a descriptive cross-sectional study was conducted amongst students registered at the Islamic University of Lebanon. Individuals who have been infected with COVID-19 at least once were eligible for the study and were selected by a non-random snowball sampling technique. Descriptive and quantitative analyses were performed using SPSS 21. Results: Out of the 478 participants who completed the questionnaire, 40.2% (n = 192) received antibiotics during the COVID-19 infection. A physician’s prescription is mentioned by some participants (51%, n = 98), followed by a pharmacist’s (23.4%, n = 45), self-taken (14.5%, n = 28), and others as family or friends (10.9%, n = 21). Moreover, 59.3% (n = 114) of the respondents respected the antibiotic therapy’s rules, and 40.6% (n = 78) discontinued taking the antibiotic when they felt better. Conclusion: Our results showed that participants were likely to show unsatisfactory compliance and to use non-prescribed antibiotics. Campaigns are urgently needed to promote appropriate antibiotic use.

(1) Background: To mitigate COVID-19 transmission, global public health interventions were swiftly implemented. However, a comprehensive understanding of individual variations in adhering to these recommendations remains elusive. Addressing this gap is crucial for effectively managing future epidemic and pandemic scenarios. This study aims to explore individual differences in attachment, emotion regulation, and risk for COVID-19 infection using virtual reality (VR). (2) Methods: The sample included 73 (88%) university students and 10 (12%) university staff. Participants completed questionnaires on sociodemographic information, the Difficulties in Emotion Regulation Scale, the Experiences in Close Relationships—Relationship Structures Questionnaire, and the fear of COVID-19 Scale. Additionally, each participant engaged in five daily situations using a VR simulator to assess the risk of COVID-19 infection. (3) Results: Our study revealed that high levels of attachment anxiety, difficulties controlling impulsive behaviors, and limited access to emotion regulation strategies were strong predictors of elevated risk of COVID-19 infection. Conversely, high levels of fear of COVID-19 and attachment avoidance were associated with lower risk of COVID-19 infection. (4) Conclusions: We discuss the importance of policymakers and health professionals being aware of some psychological characteristics that make it difficult for some individuals to adhere to public health measures involving social distancing.

As a result of the COVID-19 pandemic, media consumption has begun playing a more significant role in shaping public perceptions and well-being. The current study examines the effects of risk perception, economic situation, and negative emotions during the COVID-19 pandemic on preventive behaviors, while focusing on the mediating role of media exposure levels. An online survey was conducted during the 2020 outbreak of COVID-19 in Israel. SEM analysis results show that during the pandemic, media exposure increased with negative emotions levels, increased with higher exposure to the pandemic and increased as the economic impact of the pandemic increased. In addition, preventive behavior increased with media exposure. Moreover, the media exposure variable was found to mediate the effect of negative emotions and of the perceived risk of being infected with coronavirus on preventive behavior. Implications for government policy are discussed.