Monitoramento das Produções

by Fredis Mappin, Anthony J. Bellantuono, Babak Ebrahimi, Matthew DeGennaro

Modulation of odorant receptors mRNA induced by prolonged odor exposure is highly correlated with ligand-receptor interactions in Drosophila as well as mammals of the Muridae family. If this response feature is conserved in other organisms, this presents an intriguing initial screening tool when searching for novel receptor-ligand interactions in species with predominantly orphan olfactory receptors. We demonstrate that mRNA modulation in response to 1-octen-3-ol odor exposure occurs in a time- and concentration-dependent manner in Aedes aegypti mosquitoes. To investigate gene expression patterns at a global level, we generated an odor-evoked transcriptome associated with 1-octen-3-ol odor exposure. Transcriptomic data revealed that ORs and OBPs were transcriptionally responsive whereas other chemosensory gene families showed little to no differential expression. Alongside chemosensory gene expression changes, transcriptomic analysis found that prolonged exposure to 1-octen-3-ol modulated xenobiotic response genes, primarily members of the cytochrome P450, insect cuticle proteins, and glucuronosyltransferases families. Together, these findings suggest that mRNA transcriptional modulation of olfactory receptors caused by prolonged odor exposure is pervasive across taxa and can be accompanied by the activation of xenobiotic responses.

by Claire Benny, Ambikaipakan Senthilselvan, Karen A. Patte, Brendan T. Smith, Paul J. Veugelers, Scott T. Leatherdale, Roman Pabayo
Introduction Understanding the inequitable impacts of the ongoing COVID-19 pandemic on youth mental health are leading priorities. Existing research has linked income inequality in schools to adolescent depression, however, it is unclear if the onset of the pandemic exacerbated the effects of income inequality on adolescent mental health. The current study aimed to quantify the association between income inequality and adolescent mental health during COVID-19. Material and methods Longitudinal data were taken from three waves (2018/19 to 2020/21) of the Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary behaviour (COMPASS) school-based study. Latent Growth Curve modelling was used to assess the association between Census District (CD)-level income inequality and depressive symptoms before and after the onset of COVID-19. Results The study sample included 29,722 students across 43 Census divisions in British Columbia, Alberta, Ontario, and Quebec. The average age of the sample at baseline was 14.9 years [standard deviation (SD) = 1.5] and ranged between 12 and 19 years of age. Most of the sample self-reported as white (76.3%) and female (54.4%). Students who completed the COMPASS survey after the onset of COVID reported 0.20-unit higher depressive scores (95% CI = 0.16, 0.24) compared to pre-COVID. The adjusted analyses indicated that the association between income inequality on anxiety scores was strengthened following the onset of COVID-19 (β = 0.02, 95% CI = 0.0004, 0.03), indicating that income inequality was associated with a greater increase in anxiety scores during COVID-19. Discussion The adjusted results indicate that the association between income inequality and adolescent anxiety persisted and was heightened at the onset of COVID-19. Future studies should use quasi-experimental methods to strengthen this finding. The current study can inform policy and program discussions regarding the effects of the COVID-19 pandemic and pandemic recovery for young Canadians and relevant social policies for improving adolescent mental health.

by Michael Bergmann, Melanie Wagner

The COVID-19 pandemic began impacting Europe in early 2020, posing significant challenges for individuals requiring care. This group is particularly susceptible to severe COVID-19 infections and depends on regular health care services. In this article, we examine the situation of European care recipients aged 50 years and older 18 months after the pandemic outbreak and compare it to the initial phase of the pandemic. In the descriptive section, we illustrate the development of (unmet) care needs and access to health care throughout the pandemic. Additionally, we explore regional variations in health care receipt across Europe. In the analytical section, we shed light on the mid- and long-term health consequences of COVID-19-related restrictions on accessing health care services by making comparisons between care recipients and individuals without care needs. We conducted an analysis using data from the representative Corona Surveys of the Survey of Health, Ageing and Retirement in Europe (SHARE). Our study examines changes in approximately 3,400 care-dependent older Europeans (aged 50+) interviewed in 2020 and 2021, comparing them with more than 45,000 respondents not receiving care. The dataset provides a cross-national perspective on care recipients across 27 European countries and Israel. Our findings reveal that in 2021, compared to the previous year, difficulties in obtaining personal care from someone outside the household were significantly reduced in Western and Southern European countries. Access to health care services improved over the course of the pandemic, particularly with respect to medical treatments and appointments that had been canceled by health care institutions. However, even 18 months after the COVID-19 outbreak, a considerable number of treatments had been postponed either by respondents themselves or by health care institutions. These delayed medical treatments had adverse effects on the physical and mental health of both care receivers and individuals who did not rely on care.

by Bruno Kluwe-Schiavon, Lucas De Zorzi, Joana Meireles, Jorge Leite, Henrique Sequeira, Sandra Carvalho

by Minako Suzuki, Yoshimi Fujii, Yurie Nishimura, Kazuma Yasui, Hidefumi Fujisawa

This study aimed to determine the optimal conditions to measure the percentage of the area considered as pneumonia (pneumonia volume ratio [PVR]) and the computed tomography (CT) score due to coronavirus disease 2019 (COVID-19) using the Ziostation2 image analysis software (Z2; Ziosoft, Tokyo, Japan), which is popular in Japan, and to evaluate its usefulness for assessing the clinical severity. We included 53 patients (41 men and 12 women, mean age: 61.3 years) diagnosed with COVID-19 using polymerase chain reaction who had undergone chest CT and were hospitalized between January 2020 and January 2021. Based on the COVID-19 infection severity, the patients were classified as mild (n = 38) or severe (n = 15). For 10 randomly selected samples, the PVR and CT scores by Z2 under different conditions and the visual simple PVR and CT scores were compared. The conditions with the highest statistical agreement were determined. The usefulness of the clinical severity assessment based on the PVR and CT scores using Z2 under the determined conditions was statistically evaluated. The best agreement with the visual measurement was achieved by the Z2 measurement condition of ≥–600 HU. The areas under the receiver operating characteristic curves, Youden’s index, and the sensitivity, specificity, and p-values of the PVR and CT scores by Z2 were as follows: PVR: 0.881, 18.69, 66.7, 94.7, and

by Sebastian Beyer, Sven Haufe, Dirks Meike, Michèle Scharbau, Viktoria Lampe, Alexandra Dopfer-Jablonka, Uwe Tegtbur, Isabell Pink, Nora Drick, Arno Kerling
Purpose Post-Covid-19 syndrome is defined as the persistence of symptoms beyond 3 months after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The most common symptoms include reduced exercise tolerance and capacity, fatigue, neurocognitive problems, muscle pain and dyspnea. The aim of our work was to investigate exercise capacity and markers of subjective wellbeing and their independent relation to post-COVID-19 syndrome. Patients and methods We examined a total of 69 patients with post-COVID-19 syndrome (23 male/46 female; age 46±12 years; BMI 28.9±6.6 kg/m2) with fatigue and a score ≥22 in the Fatigue Assessment Scale (FAS). We assessed exercise capacity on a cycle ergometer, a 6-minute walk test, the extent of fatigue (FAS), markers of health-related quality of life (SF-36 questionnaire) and mental health (HADS). Results On average the Fatigue Assessment Scale was 35.0±7.4 points. Compared with normative values the VO2max/kg was reduced by 8.6±5.8 ml/min/kg (27.7%), the 6MWT by 71±96 m (11.9%), the health-related quality of life physical component score by 15.0±9.0 points (29.9%) and the mental component score by 10.6±12.8 points (20.6%). Subdivided into mild fatigue (FAS score 22–34) and severe fatigue (FAS score ≥35), patients with severe fatigue showed a significant reduction of the 6-minute walk test by 64±165 m (p

by Ruben D. Zapata, Shu Huang, Earl Morris, Chang Wang, Christopher Harle, Tanja Magoc, Mamoun Mardini, Tyler Loftus, François Modave
Objective This study aimed to develop and validate predictive models using electronic health records (EHR) data to determine whether hospitalized COVID-19-positive patients would be admitted to alternative medical care or discharged home. Methods We conducted a retrospective cohort study using deidentified data from the University of Florida Health Integrated Data Repository. The study included 1,578 adult patients (≥18 years) who tested positive for COVID-19 while hospitalized, comprising 960 (60.8%) female patients with a mean (SD) age of 51.86 (18.49) years and 618 (39.2%) male patients with a mean (SD) age of 54.35 (18.48) years. Machine learning (ML) model training involved cross-validation to assess their performance in predicting patient disposition. Results We developed and validated six supervised ML-based prediction models (logistic regression, Gaussian Naïve Bayes, k-nearest neighbors, decision trees, random forest, and support vector machine classifier) to predict patient discharge status. The models were evaluated based on the area under the receiver operating characteristic curve (ROC-AUC), precision, accuracy, F1 score, and Brier score. The random forest classifier exhibited the highest performance, achieving an accuracy of 0.84 and an AUC of 0.72. Logistic regression (accuracy: 0.85, AUC: 0.71), k-nearest neighbor (accuracy: 0.84, AUC: 0.63), decision tree (accuracy: 0.84, AUC: 0.61), Gaussian Naïve Bayes (accuracy: 0.84, AUC: 0.66), and support vector machine classifier (accuracy: 0.84, AUC: 0.67) also demonstrated valuable predictive capabilities. Significance This study’s findings are crucial for efficiently allocating healthcare resources during pandemics like COVID-19. By harnessing ML techniques and EHR data, we can create predictive tools to identify patients at greater risk of severe symptoms based on their medical histories. The models developed here serve as a foundation for expanding the toolkit available to healthcare professionals and organizations. Additionally, explainable ML methods, such as Shapley Additive Explanations, aid in uncovering underlying data features that inform healthcare decision-making processes.

by Valerie Leung, Suzanne Gill, Andrea Llanes, Armughan Khawaja, Amanda Stagg, Janine McCready, Mariana Jacubovich, Grace Ho, Jeff Powis, Christopher Kandel
Background Large observational studies have demonstrated the real-world effectiveness of nirmatrelvir–ritonavir in preventing severe COVID-19 in higher risk individuals, but have provided limited information on other aspects of nirmatrelvir-ritonavir use. Our objective was to evaluate prescribing outcomes such as the prevalence of drug-drug interactions (DDI), adverse drug events (ADE) and treatment adherence in an outpatient community clinic setting. Methods We conducted a single-centre retrospective cohort study of adult outpatients prescribed nirmatrelvir–ritonavir in our community COVID-19 assessment clinic in Toronto, Ontario between March 3 and September 20, 2022. We performed a descriptive analysis of the patient population, DDIs, DDI interventions, treatment adherence, ADEs and clinical outcomes of patients prescribed nirmatrelvir–ritonavir. Results There were 637 individuals prescribed nirmatrelvir–ritonavir during the study period. The median age was 70, the median number of risk factors for severe disease were 2, 45% were immunocompromised and 82% had received 3 or more COVID-19 vaccine doses. 95% (542/572) completed the 5-day course of therapy with 68% (388/572) having complete symptom resolution by 28-day. Eleven percent (60/572) experienced recurrent symptoms following the completion of nirmatrelvir–ritonavir. Over 70% had one or more clinically significant DDIs requiring mitigation and 62% of patients experienced at least one ADE, which was most commonly dysgeusia or gastrointestinal-related. Ninety-five percent (542/572) of patients completed therapy as prescribed. Overall, hospitalization within 28 days was 3.3% with 1.2% attributed to COVID-19 and there were no deaths. Interpretation Nirmatrelvir–ritonavir was associated with a high prevalence of clinically significant DDIs, which required mitigation strategies and a high frequency of mild ADEs. Collaborative assessment to address medication alterations resulted in high treatment adherence.

by Anar Turmukhambetova, Sergey Yegorov, Ilya Korshukov, Valentina Barkhanskaya, Svetlana Kolesnichenko, Dmitriy Klyuyev, Zhibek Zhumadilova, Aruzhan Pralieva, Laylim Absaghit, Ruslan Belyaev, Dmitriy Babenko, Gonzalo H. Hortelano, Matthew S. Miller, Dmitriy Vazenmiller, Irina Kadyrova

COVID-19 vaccines have played a critical role in controlling the COVID-19 pandemic. Although overall considered safe, COVID-19 vaccination has been associated with rare but severe thrombotic events, occurring mainly in the context of adenoviral vectored vaccines. A better understanding of mechanisms underlying vaccine-induced hypercoagulability and prothrombotic state is needed to improve vaccine safety profile. We assessed changes to the biomarkers of endothelial function (endothelin, ET-1), coagulation (thrombomodulin, THBD and plasminogen activator inhibitor, PAI) and platelet activation (platelet activating factor, PAF, and platelet factor 4 IgG antibody, PF4 IgG) within a three-week period after the first (prime) and second (boost) doses of Gam-Covid-Vac, an AdV5/AdV26-vectored COVID-19 vaccine. Blood plasma collected from vaccinees (n = 58) was assayed using ELISA assays. Participants were stratified by prior COVID-19 exposure based on their baseline SARS-CoV-2-specific serology results. We observed a significant post-prime increase in circulating ET-1, with levels sustained after the boost dose compared to baseline. ET-1 elevation following dose 2 was most pronounced in vaccinees without prior COVID-19 exposure. Prior COVID-19 was also associated with a mild increase in post-dose 1 PAI. Vaccination was associated with elevated ET-1 up to day 21 after the second vaccine dose, while no marked alterations to other biomarkers, including PF4 IgG, were seen. A role of persistent endothelial activation following COVID-19 vaccination warrants further investigation.

by Omprokash Dutta, Ajay Prasanth, Ashu Kumari, Kumari Akanksha, Farah Deeba, Nasir Salam

Vector-borne diseases such as dengue, leishmaniasis, and lymphatic filariasis, constitute significant sources of illness, disability, and mortality among the poor and vulnerable in many countries around the world, including India. Based on the global burden of diseases, injuries, and risk factors study 2019, we analyse the burden of dengue, leishmaniasis, and lymphatic filariasis, in India from 1990 to 2019. Over this period, there was a reduction in the burden of lymphatic filariasis and leishmaniasis. Notably, dengue emerged as the most common vector-borne disease, exhibiting high fatality rate above 15 years of age and the highest DALY within 15–49 age group. Additionally, dengue cases surged substantially between 1990 and 2019. Leishmaniasis related mortality and DALY declined in the year 2019 compared to the year 1990, with high mortality and DALY in the 0-49-year-old age group. For lymphatic filariasis, DALY was more pronounce among those in the 15–49-year age group, which underwent reduction in 2019. Males had a higher burden in other vector-borne diseases than females, although females had a slightly elevated dengue burden. These findings highlight the evolving epidemiological trends related to vector-borne diseases in India, over the last three decades and underline the critical significance of sustained efforts for the elimination and control of vector-borne diseases.

by Changro Lee, Youngmo Koo

Using point-of-sales (POS) data, the sales trends of 48 member stores of a Korean restaurant franchise during the COVID-19 pandemic were analyzed. As daily sales are nested in each member store of a franchise, the hierarchical structure of POS data was fully and effectively utilized by employing a mixed-effects model. The results showed that although sales volumes in all member stores were negatively affected by the pandemic, the level of impact varied according to store location: sales at some stores were drastically reduced, while a few others even achieved a slight increase in sales during the pandemic. These findings suggest that the government support policy for small business owners should be designed in a locally optimized way, to take account of neighborhood characteristics and the degree of sales loss for individual business owners.

by Kimberly C. Thomson, Emily Jenkins, Randip Gill, Katherine G. Hastings, Chris G. Richardson, Monique Gagné Petteni, Corey McAuliffe, Anne M. Gadermann
Background Mental health impacts of the COVID-19 pandemic have not been felt equally within populations. Parents with children living at home were early on identified as a population at heightened mental health risk, with concerns about the potential long-term impacts of the pandemic on parents’ mental health, family functioning, and children’s well-being. This study investigates impacts of the pandemic on parents’ psychological distress, contextual sources of distress, and associations with family functioning nearly two years into the pandemic. Methods and findings Data were drawn from a national cross-sectional survey of adults living in Canada in November and December 2021 that was representative by age, gender, household income, and region. Parents with children 18 years old living at home (N = 553) reported their experiences of psychological distress, pandemic-related stressors, coping mechanisms, and family functioning (changes in parent-child interactions, children’s anxiety). Chi-square tests, logistic regression, and linear regression analyses examined sociodemographic inequities in parents’ levels of psychological distress, sources and mitigating mechanisms of distress, and associations between psychological distress and family functioning. Nearly two years into the pandemic, parents with children at home reported nearly double pre-pandemic population estimates of moderate to severe psychological distress. Psychological distress was more frequently reported among parents with pre-existing mental health conditions, disabilities, and financial stressors. Parents with greater psychological distress reported increases in negative parent–child interactions due to the pandemic and higher anxiety among their children. Conclusions This study identifies sustained negative impacts of the pandemic on parents’ mental health and family functioning in Canada nearly two years into the pandemic, despite high vaccine uptake and declining infection rates. Disparities in financial stress, social support structures, and pre-existing mental health were identified as underlying sources of psychological distress. These results highlight that meaningful responses to promote mental health among parents and families must address social and structural inequities.

by Masahiro Michinaka, Akira Sai, Taro Yamauchi

The novel coronavirus infectious disease (COVID-19) pandemic has negatively impacted not only our physical health but also mental health, including increasing depressive and anxiety symptoms. In particular, socially and physically vulnerable populations, such as people experiencing homelessness (PEH), may be more likely to have their mental health worsened by the pandemic due to having more difficulty meeting basic human needs. Therefore, this study aims to assess the impact of COVID-19 on mental health of the homeless in Japan by evaluating depressive and anxiety symptoms and identifying the associated factors particularly, sociodemographic variables as age, employment status and the fear and perceived risk of COVID-19 infection. A cross-sectional interview survey among 158 PEH in Osaka Prefecture was conducted from April to May 2022. The survey included sociodemographic questions and history and perceived risk of infection with COVID-19. Depressive symptoms were measured using the nine-item Patient Health Questionnaire (PHQ-9) and anxiety symptoms using the seven-item Generalized Anxiety Disorder Scale (GAD-7), and the fear of COVID-19 using the seven-item Fear of New Coronavirus Scale (FCV-19S). In this study, the prevalence of depression (PHQ-9≥10) was 38.6%, anxiety disorder (GAD≥10) was 19.0%, and high fear of COVID-19 (FCV-19S≥19) was 28.5%. Univariate logistic regression analysis revealed that PEH in younger age groups (18–34 years), and with joblessness, higher perceived infection risk, and higher fear of COVID-19 were more likely to suffer from depression and anxiety (p

by Karolina Pogorzelska, Ludmila Marcinowicz, Slawomir Chlabicz
Background Due to the COVID-19 pandemic, healthcare organizations had to face challenging circumstances and modify the usual modality of service provision, introducing telehealth services in their routine patient care to lessen the risk of direct human-to-human exposure. Patients expressed concerns about personal visits to healthcare units and the possibility of accessing telemedicine turned out to be an effective tool for the continuity of care. Due to the limited experience with telemedicine before the COVID-19 pandemic in Poland, we sought to fill this gap by studying the experiences of Polish patients. Our study aimed to understand how patients define satisfaction and dissatisfaction with telemedicine during the COVID-19 pandemic in primary care. Material and methods Twenty semi-structured interviews with primary care patients in the Podlaskie Voivodeship, Poland were conducted to understand satisfaction with telemedicine.Interview transcripts were analyzed using qualitative content analysis. The qualitative content analysis process involved familiarizing ourselves with the data, extracting text regarding satisfaction and dissatisfaction with the teleconsultation, condensing it into meaningful units assigning codes to them, and organizing codes into subcategories and categories. The entire analysis process was done through reflection and discussion until a consensus was reached between the researchers. Results From the participants’ perspective, satisfaction with telemedicine was associated with receiving enough space to express their concerns. It was reported that they trusted their primary care physicians and felt comfortable during telemedicine consultations. Participants noted that connecting with a known, trusted doctor was more important than having a face-to-face visit with an unfamiliar physician. In our study, the participants equated satisfaction with treatment effectiveness. It was emphasized that in the event of unknown or unstable conditions, patients would prefer to be seen in person and receive a physical examination. Conclusion In our research telemedicine met with a positive reception and was recognized by the majority of patients who made use of it as a valuable channel of contact with a primary care physician. In order to increase the level of patient satisfaction, the focus should be on improving aspects such as physician engagement and showing empathy during telemedicine, as well as providing complete, exhaustive information on the treatment process. Respecting patient needs and preferences during performing telemedicine visits is the goal of patient-centered care.

by Linda Grüßer, Charlotte Eißing, Ana Kowark, András P. Keszei, Julia Wallqvist, Rolf Rossaint, Sebastian Ziemann
Introduction Transparent and complete reporting of randomized controlled trials (RCTs) is essential for critical scientific appraisal of the results. It has been argued whether publications during the COVID-19 pandemic have met reporting standards. In this study, we assessed reporting adherence of RCTs on treatment interventions in COVID-19 patients to the CONSORT checklist and discuss which lessons can be learned to improve reporting in the future. Methods This was a retrospective, cross-sectional study performed at the University Hospital RWTH Aachen, Germany. We conducted a pragmatic systematic literature search in the PubMed database to identify RCTs on treatment interventions in COVID-19 patients in the first year of publications on the topic (March 2020-February 2021). We investigated the adherence of each publication to the CONSORT checklist and assessed the association between specific predictors and percentage adherence in an exploratory multivariable regression model. Results We analyzed 127 RCTs and found that the median percentage adherence to the CONSORT checklist was 54.3% [IQR 38.9 to 65.7]. In the exploratory multivariable regression model, the impact factor (highest tertile of impact factor compared to lowest tertile ß = 21.77, 95% CI 13.89 to 29.66, p

by Lin Ling, Hayat Khan, Jiang Lingwei, Li Qiumei, Zhang Zuominyang, Itbar Khan

Understanding the dynamic link between the development of COVID-19 pandemic and industry sector risk spillovers is crucial to explore the underlying mechanisms by which major public health events affect economic systems. This paper applies ElasticNet method proposed by Diebold and Yilmaz (2009, 2012, 2014) to estimate the dynamic risk spillover indicators of 20 industrial sectors in China from 2016 to 2022, and systematically examines the impact of industry risk network fluctuations and the transmission path caused by COVID-19 shock. The findings reveal that risk spillovers of Chinese industries show a dynamic change of "decline-fluctuation-rebound" with the three phases of COVID-19 epidemic. At the beginning of the epidemic, machinery and equipment, paper and printing, tourism and hotels, media and information services, and agriculture were the exporters of epidemic risk, while materials, transportation equipment, commercial trade, health care, and environmental protection were the importers of epidemic risk; However, as the epidemic developed further, the direction and effect of risk transmission in the industry was reversed. Examining the network characteristics of the pair sectors, we found that under the epidemic shock, the positive risk spillover from tourism and hotels, culture, education and sports to consumer goods, finance, and energy industries was significantly increased, and finance and real estate industries were affected by the risk impact of more industries, while the number of industries affected by information technology and computer industry was significantly reduced. This paper shows that there is inter-industry risk transmission of the COVID-19 epidemic shock, and the risk transmission feeds back in a cycle between industries as the epidemic develops, driving the economy into a vicious circle. The role of the service sector in blocking the spread of negative shocks from the epidemic should be emphasized and brought into play to avoid increasing the overall economic vulnerability. This study will help to deepen the understanding of scholars and policy makers on the network transmission effects of the epidemic.

by Bang Liu, Xuesheng Liu, Lin Zou, Jun Hu, Yueming Wang, Ming Hao

Following the outbreak of COVID-19 at the end of 2019, universities around the world adopted a closed management model and various restrictive measures intended to reduce human contact and control the spread of the disease. Such measures have had a profound impact on university students, with a marked increase in depression-related psychological disorders. However, little is known about the specific status and factors influencing the impact of the pandemic on student mental health. Addressing this gap, this study examines the body dissatisfaction, physical activity, and sleep of university students during the pandemic, and uses their levels of depression to provide a theoretical basis for the development of mental health interventions for university students in the post-epidemic era. To achieve this, a total of 1,258 university students were randomly recruited for this cross-sectional study. Collected data included respondents’ anthropometric measurements, body dissatisfaction levels, dietary habits, sleep status, physical activity levels, and depression levels. The overall detection rate of depression was 25.4%, with higher levels of depression among women. Multiple regression analysis showed that the PSQI score (β = 1.768, P 0.01) and physical activity scores (β = -0.048, P 0.01) were significant predictors of depression in men, while the PSQI score (β = 1.743, P 0.01) and body dissatisfaction scores (β = 0.917, P 0.01) were significant predictors of depression in women. Mental health problems were prevalent among university students during the COVID-19 pandemic. Results indicate the possibility of alleviating depression among university students by improving their body dissatisfaction, physical activity, and sleep. However, as this study was limited to Ganzhou City, it is challenging to extrapolate the findings to other populations. As this was a cross-sectional study, a causal relationship between depression levels and lifestyle habits cannot be determined.

by Mattia Vacchiano, Emanuele Politi, Adrian Lueders

Research offers evidence that younger generations suffered the most psychologically from the COVID-19 crisis. In this article, we look at the onset of the pandemic to understand the reasons for this increased vulnerability. We use the COVID-19 Multifaceted Threat Scale to explore potential mechanisms underlying generational differences in psychological well-being. In a sample of 994 individuals (+18) obtained in the USA and India, we first assess levels of perceived psychological well-being across the generations. Thus, we measure cross-generational differences in the perceived levels of financial, relational, existential, health and lifestyle threats experienced by respondents seven months after the pandemic broke out. In accordance with earlier findings, the results confirm that people from Generation Z and Generation Y reported worse levels of psychological well-being than older adults. Our results suggest that the heightened existential threat, as reflected in a loss of meaning and feelings of being “trapped”, mediate the association between younger generations and worse psychological well-being. No substantial intergenerational differences were found for other threat dimensions. The observed effects were consistent across both national contexts, hence stressing the importance of existential concerns as a mechanism underlying the psychological vulnerability of younger people in the historical contingencies of the COVID-19 pandemic.

by Sarah Kaleem, Adnan Sohail, Muhammad Usman Tariq, Muhammad Babar, Basit Qureshi

Coronavirus disease (COVID-19), which has caused a global pandemic, continues to have severe effects on human lives worldwide. Characterized by symptoms similar to pneumonia, its rapid spread requires innovative strategies for its early detection and management. In response to this crisis, data science and machine learning (ML) offer crucial solutions to complex problems, including those posed by COVID-19. One cost-effective approach to detect the disease is the use of chest X-rays, which is a common initial testing method. Although existing techniques are useful for detecting COVID-19 using X-rays, there is a need for further improvement in efficiency, particularly in terms of training and execution time. This article introduces an advanced architecture that leverages an ensemble learning technique for COVID-19 detection from chest X-ray images. Using a parallel and distributed framework, the proposed model integrates ensemble learning with big data analytics to facilitate parallel processing. This approach aims to enhance both execution and training times, ensuring a more effective detection process. The model’s efficacy was validated through a comprehensive analysis of predicted and actual values, and its performance was meticulously evaluated for accuracy, precision, recall, and F-measure, and compared to state-of-the-art models. The work presented here not only contributes to the ongoing fight against COVID-19 but also showcases the wider applicability and potential of ensemble learning techniques in healthcare.

by Seyed Majid Mousavi Movahed, Hamed Akhavizadegan, Fatemeh Dolatkhani, Samaneh Akbarpour, Seyed Aria Nejadghaderi, Morvarid Najafi, Parmida Sadat Pezeshki, Akram Khalili Noushabadi, Hoomaan Ghasemi
Background Acute kidney injury is a complication of COVID-19 and is associated with severity. Despite no specific antiviral treatment strategy, lopinavir/ritonavir and remdesivir have been used. Data on the association between AKI and receiving antiviral agents with outcomes in hospitalized patients with COVID-19 is scarce. We aimed to determine the incidence of AKI and its outcomes in COVID-19 patients with and without antiviral medications. Methods We conducted a retrospective study on hospitalized adult patients with SARS-CoV-2 infection in a tertiary center. The primary endpoint was determining mortality, intensive care unit (ICU) admission, and length of hospitalization affected by AKI development using antiviral agents. The logistic regression method was used to explore the predictive effects of AKI and antiviral therapy on composite outcomes (i.e., mortality, ICU admission, and prolonged hospitalization) in four defined groups by AKI development/not and utilizing antivirals/not. We used IBM SPSS version 24.0 software for statistical analysis. Results Out of 833 COVID-19 patients who were included, 75 patients were treated with antiviral agents and developed AKI. There was a significant difference in the occurrence of AKI and using antiviral medications (p = 0.001). Also, the group using antiviral agents and the development of AKI had the highest rate of preexisting hypertension (p = 0.002). Of note, the group of patients who used antiviral agents and also developed AKI had the most remarkable association with our composite outcome (p

by Calli Naish, Patricia K. Doyle-Baker, Meghan S. Ingstrup, Gavin R. McCormack

The restrictions introduced in response to the COVID-19 pandemic affected the regular routines of Canadians, including access to play and physical activity opportunities, while limiting social connections. In response to this, a recreation centre created take-home play kits that contained loose parts with the aim of facilitating unstructured play. Between August 2021 and January 2022, ten parents participated in semi-structured interviews via telephone or videoconferencing platforms that captured their experiences of the take-home play kits. Using Thematic Analysis, we identified themes and subthemes reflecting parent perceptions and experiences of the take-home play kit. Three themes emerged: (1 A forced renaissance of play; (2) Bringing unstructured play home, and; (3) Parenting is child’s play. Parents shared how the pandemic resulted in decreased physical activity and social opportunities for their children. The parents described how the take-home play kits supported unstructured play as well as their perspectives on the importance of unstructured play. Parents in our study suggested that a take-home loose parts play kit could be a useful resource to help engage children in unstructured play in both indoor and outdoor environments.

by Robert J. Samuels, Ibrahim Sumah, Foday Alhasan, Rendie McHenry, Laura Short, James D. Chappell, Zaid Haddadin, Natasha B. Halasa, Inaê D. Valério, Gustavo Amorim, Donald S. Grant, John S. Schieffelin, Troy D. Moon

Globally, viral pathogens are the leading cause of acute respiratory infection in children under-five years. We aim to describe the epidemiology of viral respiratory pathogens in hospitalized children under-two years of age in Eastern Province of Sierra Leone, during the second year of the SARS-CoV-2 pandemic. We conducted a prospective study of children hospitalized with respiratory symptoms between October 2020 and October 2021. We collected demographic and clinical characteristics and calculated each participant´s respiratory symptom severity. Nose and throat swabs were collected at enrollment. Total nucleic acid was purified and tested for multiple respiratory viruses. Statistical analysis was performed using R version 4.2.0 software. 502 children less than two-years of age were enrolled. 376 (74.9%) had at least one respiratory virus detected. The most common viruses isolated were HRV/EV (28.2%), RSV (19.5%) and PIV (13.1%). Influenza and SARS-CoV-2 were identified in only 9.2% and 3.9% of children, respectively. Viral co-detection was common. Human metapneumovirus and RSV had more than two-fold higher odds of requiring O2 therapy while hospitalized. Viral pathogen prevalence was high (74.9%) in our study population. Despite this, 100% of children received antibiotics, underscoring a need to expand laboratory diagnostic capacity and to revisit clinical guidelines implementation in these children. Continuous surveillance and serologic studies among more diverse age groups, with greater geographic breadth, are needed in Sierra Leone to better characterize the long-term impact of COVID-19 on respiratory virus prevalence and to better characterize the seasonality of respiratory viruses in Sierra Leone.

by Saikun Wang, Ruiting Zhu, Chengwei Zhang, Yingze Guo, Mengjiao Lv, Changyue Zhang, Ce Bian, Ruixue Jiang, Wei Zhou, Lirong Guo

Although studies have shown severe Coronavirus disease 2019 (COVID-19) outcomes in patients with pre-existing coronary heart disease (CHD), the prognosis of COVID-19 patients with pre-existing CHD remains uncertain primarily due to the limited number of patients in existing studies. This study aimed to investigate the impacts of pre-existing CHD on the prognosis of COVID-19 patients. Five electronic databases were searched for eligible studies. This article focused on cohort and case-control studies involving the prognosis of COVID-19 patients with pre-existing CHD. The meta-analysis was performed using a random effects model. The odds ratios (ORs) and 95% confidence intervals (CIs) were used as valid indicators. The study was registered in PROSPERO with the identifier: CRD42022352853. A total of 81 studies, involving 157,439 COVID-19 patients, were included. The results showed that COVID-19 patients with pre-existing CHD exhibited an elevated risk of mortality (OR = 2.45; 95%CI: [2.04, 2.94], P 0.001), severe/critical COVID-19 (OR = 2.57; 95%CI: [1.98, 3.33], P 0.001), Intensive Care Unit or Coronary Care Unit (ICU/CCU) admission: (OR = 2.75, 95%CI: [1.61, 4.72], P = 0.002), and reduced odds of discharge/recovery (OR = 0.43, 95%CI: [0.28, 0.66], P 0.001) compared to COVID-19 patients without pre-existing CHD. Subgroup analyses indicated that the prognosis of COVID-19 patients with pre-existing CHD was influenced by publication year, follow-up duration, gender, and hypertension. In conclusion, pre-existing CHD significantly increases the risk of poor prognosis in patients with COVID-19, particularly in those male or hypertensive patients.

by Marwa Rashad Salem, Nelly Hegazy, Shaimaa A. M. Abd El Fatah, Alaaelrahman Essam Mahmoud Shahib, Ahmad Mohamad Hejazi
Background Even with the mild form of COVID-19, people need to practice the proper preventive measures to achieve health, safety and control spread of infection. Few studies assessed sound disinfection and rehabilitative knowledge. This study aims to assess the self-reported, knowledge of specific disinfection measures among post-recovery COVID-19 patients and identifying the most requested knowledge items regarding the prevention and post COVID rehabilitation measures. Methods This is an exploratory cross-sectional study using an electronically open survey. A pre-tested e-questionnaire was employed for data assembling. The sample size was calculated and a total of 417 people completed the questionnaire. Knowledge score was calculated for preventive and disinfection measures during and after COVID 19 infection. It comprised three sections: socio-demographics, study participants’ knowledge regarding precautions, disinfection, and rehabilitation measures, as well as sources of knowledge about COVID-19. Results All participants infected with COVID-19 (82%) reported self-isolation for ten days after confirming the infection, with only 18% required hospitalization. Regarding the information needed by the participants, the highest requests were for the rehabilitation information after COVID-19 and preventive measures. Females under 30 years old and those with a college education or higher were significantly more likely to request rehabilitation information after COVID-19 (P-value 0.05). Nevertheless, males were significantly more interested in information regarding preventive measures; They were over 30 years old and had education below university (P-value 0.05). Participants (above 30 years old) had significantly higher knowledge of preventive and disinfection measures during and after COVID-19 infection (P = 0.030). Conclusion After the COVID-19 experience, most participants demonstrated a great desire for rehabilitation information and proper preventive measures. This paves the way for delivering self-management and rehabilitation knowledge and emphasizing the significance of various prevention modalities.

by Wagner Ferreira Monteiro, Kássia Janara Veras Lima, Darlisom Sousa Ferreira, Lucas Lorran Costa de Andrade, Flávia Regina Souza Ramos
Introduction The global COVID-19 pandemic has increased the concern and risks of health professionals exposed by acting on the front lines in combating and controlling the spread of the virus. This study aims at analyzing the workloads and their implications for the activities carried out by managers and health workers in the face of the COVID-19 pandemic in Manaus, Amazonas, Brazil. Method This is a qualitative study, of the case study type, that integrates a macro research that deals with the experiences built during the confrontation of the pandemic of COVID-19 in the capital of the state of Amazonas, Brazil, the epicenter of the pandemic in the country. Data production resorted to documentary analysis and semi-structured interviews with 56 managers or professionals from the Manaus Health Care Network. The analytical process was supported by the resources of the Atlas.ti 8.0 software and the precepts of Thematic Networks analysis. Results The thematic network “workloads” brought together three topics related to the experience of psychological, physiological and biological loads. Psychological workloads were strongly present in the work routine, being referred to in a more significant way. The sources that increase them are strongly related to work stress, dealing with suffering and death and excess demand on the service. Physiological loads were related to excessive working hours, staff shortages and activity overload. “Biological burdens” include exposure to the SARS-CoV-2 virus, constant contact with infected individuals, and individual protection as key elements of this set. Conclusion The study showed that both managers and workers have work processes and environments with conditions that tend to generate workloads that harm their health and safety, as well as institutions and patient care. Therefore, there is a need for more effective organizational actions in workers’ health surveillance, disease prevention, adequate working conditions, reducing workloads and promoting more resolute and less stressful work environments.

by Wasim Abbas, Masud M. A., Anna Park, Sajida Parveen, Sangil Kim

by Halima Iqbal, Bridget Lockyer, Syka Iqbal, Josie Dickerson
Background The COVID-19 pandemic and associated restrictions caused major disruption globally, shedding light on the unprecedented strain upon the mental health and wellbeing of individuals around the world. Poor mental health in the pandemic is reported to be greater in women, with mothers being at increased risk. It is unclear whether there are differences in the impact of mental wellbeing on some ethnic groups over others. The aim of this study was to explore the experiences of British Muslim Pakistani women with family responsibilities during the COVID-19 pandemic, two years on from the first lockdown. Methods Qualitative interviews with women were conducted via telephone using a semi-structured topic guide. The sample included 25 British Muslim Pakistani women with family responsibilities, both English and non-English speaking. Women lived in households that ranged in number and included extended family. Key themes were determined using thematic analysis. Results Results were grouped under three themes. These were (1) Community, cultural and religious contributors to poor mental wellbeing, (2) religious and cultural mediators of mental distress, and (3) perceived positive impact on lifestyle. British Muslim Pakistani women were psychologically distressed by the high rates of virus transmission and deaths in their communities and at the prospect of older members of their extended family developing the virus. The impact of restrictions on fundamental religious and cultural interactions further exacerbated poor mental wellbeing in this population. Religion, community social capital and larger household structures were all effective coping strategies for British Muslim Pakistani women. Positive impacts of the pandemic included becoming closer to family and faith, and increased work/life harmony. Conclusions An exploration of religious and cultural coping mechanisms should be used to inform future national pandemic preparedness plans, as well as effective strategies for building and maintaining social capital. This may increase adherence to physical distancing and other protective behaviours in populations.

by Heidi Janssens, Stefan Heytens, Eline Meyers, Brecht Devleesschauwer, Piet Cools, Tom Geens

In a previous study in Belgian nursing homes (NH) during the first wave of the COVID-19 pandemic, we found a SARS-CoV-2 seroprevalence of 17% with a large variability (0–45%) between NH. The current exploratory study aimed to identify nursing home-specific risk factors for high SARS-CoV-2 seroprevalence. Between October 19th, 2020 and November 13th, 2020, during the second COVID-19 wave in Belgium, capillary blood was collected on dried blood spots from 60 residents and staff in each of the 20 participating NH in Flanders and Brussels. The presence of SARS-CoV-2-specific IgG antibodies was assessed by ELISA. Risk factors were evaluated using a questionnaire, filled in by the director or manager of the NH. Assessed risk factors comprised community-related factors, resident-related factors, management and performance features as well as building-related aspects. The relation between risk factors and seroprevalence was assessed by applying random forest modelling, generalized linear models and Bayesian linear regression. The present analyses showed that the prevalence of residents with dementia, the scarcity of personal protective equipment (surgical masks, FFP2 masks, glasses and face shields), and inadequate PCR test capacity were related to a higher seroprevalence. Generally, our study put forward that the various aspects of infection prevention in NH require more attention and investment. This exploratory study suggests that the ratio of residents with dementia, the availability of test capacity and personal protective equipment may have played a role in the SARS-CoV-2 seroprevalence of NH, after the first wave. It underscores the importance of the availability of PPE and education in infection prevention. Moreover, investments may also yield benefits in the prevention of other respiratory infections (such as influenza).

by Mark J. Panaggio, Mike Fang, Hyunseung Bang, Paige A. Armstrong, Alison M. Binder, Julian E. Grass, Jake Magid, Marc Papazian, Carrie K. Shapiro-Mendoza, Sharyn E. Parks

During the COVID-19 pandemic, many public schools across the United States shifted from fully in-person learning to alternative learning modalities such as hybrid and fully remote learning. In this study, data from 14,688 unique school districts from August 2020 to June 2021 were collected to track changes in the proportion of schools offering fully in-person, hybrid and fully remote learning over time. These data were provided by Burbio, MCH Strategic Data, the American Enterprise Institute’s Return to Learn Tracker and individual state dashboards. Because the modalities reported by these sources were incomplete and occasionally misaligned, a model was needed to combine and deconflict these data to provide a more comprehensive description of modalities nationwide. A hidden Markov model (HMM) was used to infer the most likely learning modality for each district on a weekly basis. This method yielded higher spatiotemporal coverage than any individual data source and higher agreement with three of the four data sources than any other single source. The model output revealed that the percentage of districts offering fully in-person learning rose from 40.3% in September 2020 to 54.7% in June of 2021 with increases across 45 states and in both urban and rural districts. This type of probabilistic model can serve as a tool for fusion of incomplete and contradictory data sources in order to obtain more reliable data in support of public health surveillance and research efforts.

by Victor Hugo Aquino, Marcilio J. Fumagalli, Angélica Silva, Bento Vidal de Moura Negrini, Alejandra Rojas, Yvalena Guillen, Cynthia Bernal, Luiz Tadeu Moraes Figueiredo

The arrival of the Zika virus (ZIKV) in dengue virus (DENV)-endemic areas has posed challenges for both differential diagnosis and vaccine development. Peptides have shown promise in addressing these issues. The aim of this study was to identify the linear epitope profile recognized by serum samples from dengue and Zika patients in the E and NS1 proteins of DENV and ZIKV. This cross-sectional study included individuals of all ages with laboratory-confirmed DENV and ZIKV infections, who were selected through convenience sampling. The serum samples from dengue and Zika patients detected epitopes evenly distributed across the viral proteins in a peptide microarray platform. However, several epitopes were located within “epitope hotspots”, characterized by clusters of peptides recognized in more than 30% of the sub-arrays analyzed using individual or pooled serum samples. The serum samples from dengue and Zika patients showed a high level of cross-reactivity with peptides in the DENV and ZIKV proteins. Analysis using an additional peptide microarray platform, which contained peptides selected based on the results of the initial screening, revealed that two DENV and one ZIKV peptide, highly specific to their related viruses, were located within the epitope hotspots; however, they presented low detection rates (32.5, 35.0, and 28.6%, respectively). In addition, two DENV peptides detected at similarly high rates by both dengue and Zika patients were also found within the epitope hotspots. These hotspots contain several immunodominant epitopes that are recognized by a larger number of individuals when compared to 15-amino acid (aa) sequence peptides. Thus, epitope hotspots may have greater potential to serve as antigens in diagnostic tests and vaccine development than peptides composed of only 15 amino acids.