Hidden threat lurking in extensive hand hygiene during the Covid-19 pandemic: investigation of sensitizing molecules in gel products by hyphenated chromatography techniques.

During the Covid-19 pandemic, health agencies worldwide have recommended frequent handwashing and sanitizing. A variety of hand gel products were made available on the market, often with fragrances added to curtail the strong smell of alcohol. Commonly used Citrus fragrances contain volatile aroma constituents and non-volatile oxygen heterocyclic compounds (OHCs), consisting mostly of polymethoxyflavones, coumarins, and furocoumarins. The latter have long been investigated for their phototoxic properties, and their safety as cosmetic product ingredients has been debated recurrently. To this concern, twelve commercial Citrus-scented products were investigated in this study. An extraction method was optimized for thirty-seven OHC compounds, obtaining absolute mean recovery values in the 73.5-116% range with only few milliliters of solvent consumption. Analysis by ultra-high-pressure liquid chromatography with tandem mass spectrometry detection evidenced that three samples did not conform to the labeling requirements for fragrance allergens (coumarin) laid down by the European Union Regulation on Cosmetic Products. The total furocoumarin (FC) content of the samples investigated was in the 0.003-3.7ppm range, with some noteworthy exceptions. Specifically, in two samples, the total FCs were quantified as 89 and 219 ppm, thus exceeding the safe limits recommended up to a factor of 15. Finally, the consistency of the volatile fingerprint attained by gas chromatography allowed drawing conclusions on the authenticity of the Citrus fragrances labeled, and several products did not conform to the information reported on the label concerning the presence of essential oils. Besides the issue of product authenticity, analytical tools and regulatory actions for widespread testing of hand hygiene products are urgent, to protect consumers' health and safety.

Major Drugs Used in COVID-19 Treatment: Molecular Mechanisms, Vali-dation and Current Progress in Trials

Background: Currently, the present world is facing a new deadly challenge from a pandemic disease called COVID-19, which is caused by a coronavirus named SARS-CoV-2. To date, no drug or vaccine can treat COVID-19 completely, but some drugs have been used primarily, and they are in different stages of clinical trials. This review article discussed and compared those drugs which are running ahead in COVID-19 treatments. Method(s): We have explored PUBMED, SCOPUS, WEB OF SCIENCE, as well as press releases of WHO, NIH and FDA for articles related to COVID-19 and reviewed them. Result(s): Drugs like favipiravir, remdesivir, lopinavir/ritonavir, hydroxychloroquine, azithromycin, ivermectin, corticosteroids and interferons have been found effective to some extent, and partially approved by FDA and WHO to treat COVID-19 at different levels. However, some of these drugs have been disapproved later, although clinical trials are going on. In parallel, plasma therapy has been found fruitful to some extent too, and a number of vaccine trials are going on. Conclusion(s): This review article discussed the epidemiologic and mechanistic characteristics of SARS-CoV-2, and how drugs could act on this virus with the comparative discussion on progress and drawbacks of major drugs used till date, which might be beneficial for choosing therapies against COVID-19 in different countries.Copyright © 2022 Bentham Science Publishers.

The importance of high quality real-life social interactions during the COVID-19 pandemic.

The coronavirus pandemic has brought about dramatic restrictions to real-life social interactions and a shift towards more online social encounters. Positive social interactions have been highlighted as an important protective factor, with previous studies suggesting an involvement of the amygdala in the relationship between social embeddedness and well-being. The present study investigated the effect of the quality of real-life and online social interactions on mood, and explored whether this association is affected by an individual's amygdala activity. Sixty-two participants of a longitudinal study took part in a one-week ecological momentary assessment (EMA) during the first lockdown, reporting their momentary well-being and their engagement in real-life and online social interactions eight times per day (N ~ 3000 observations). Amygdala activity was assessed before the pandemic during an emotion-processing task. Mixed models were calculated to estimate the association between social interactions and well-being, including two-way interactions to test for the moderating effect of amygdala activity. We found a positive relationship between real-life interactions and momentary well-being. In contrast, online interactions had no effect on well-being. Moreover, positive real-life social interactions augmented this social affective benefit, especially in individuals with higher amygdala being more sensitive to the interaction quality. Our findings demonstrate a mood-lifting effect of positive real-life social interactions during the pandemic, which was dependent on amygdala activity before the pandemic. As no corresponding effect was found between online social interactions and well-being, it can be concluded that increased online social interactions may not compensate for the absence of real-life social interactions.

Hospital-based COVID-19 registry: design and implementation. Colombian experience

Registries are essential to providing valuable clinical and epidemiological decisions. Designing a registry is challenging because it is time-consuming and resource-intensive, particularly in low- and middle-income countries. Here, we described our experience with the rationale, design, and implementation of a hospital-based COVID-19 registry in Cali, Colombia. We designed and implemented a hospital-based registry over a dynamic web-based structure to record all sociodemographic, clinical, and laboratory tests, imaging, treatment, and outcomes of SARS-CoV-2. We included 4458 confirmed COVID-19 cases of 18 years and older from March 2020 to March 2021. The median age was 48 years. The most frequent comorbidities were hypertension, obesity, and diabetes. The ICU admission rate was 19%, and the in-hospital mortality rate was 20%. The implemented strategies provided rapid and reliable information collection for the registry of emerging studies from the different clinical areas. Regular data quality and feedback are essential to ensure the reliability of the information. The integration of automatic data extraction reduces time consumption in information gathering and resources. Graphical Image, graphical

Hospital-based COVID-19 registry: Design and implementation. Colombian experience.

Registries are essential to providing valuable clinical and epidemiological decisions. Designing a registry is challenging because it is time-consuming and resource-intensive, particularly in low- and middle-income countries. Here, we described our experience with the rationale, design, and implementation of a hospital-based COVID-19 registry in Cali, Colombia. We designed and implemented a hospital-based registry over a dynamic web-based structure to record all sociodemographic, clinical, and laboratory tests, imaging, treatment, and outcomes of SARS-CoV-2. We included 4458 confirmed COVID-19 cases of 18 years and older from March 2020 to March 2021. The median age was 48 years. The most frequent comorbidities were hypertension, obesity, and diabetes. The ICU admission rate was 19%, and the in-hospital mortality rate was 20%. The implemented strategies provided rapid and reliable information collection for the registry of emerging studies from the different clinical areas. Regular data quality and feedback are essential to ensure the reliability of the information. The integration of automatic data extraction reduces time consumption in information gathering and resources.

Optimization of the COVID-19 Vaccine Distribution Route Using the Vehicle Routing Problem with Time Windows Model and Capacity Constraint

At this time the effectiveness of the COVID-19 vaccines has been proven, and it is crucial to carry out the complete vaccination of the population. Therefore, it is imperative to optimize the vaccine distribution fleets. This paper discusses the optimization of distribution routes for the Pfizer vaccine in Portugal in terms of transportation time, total costs, and CO2 emissions. To this end, the Vehicle Routing Problem with Time Windows (VRPTW) model with a vehicle capacity restriction was used. The VRPTW model was tested for two scenarios. The first scenario allowed the driver to work overtime (585 min). The second scenario considered that the driver works 8 h (480 min). The results are presented to compare and justify the proposed method with large significance placed in terms of safety concerns, economic savings, environmental protection, and energy consumption. This paper aims to contribute to the healthcare system by optimizing the COVID-19 vaccine distribution routes and minimizing this process's carbon footprint.

Impact of the COVID-19 pandemic on the incidence, etiology, and antimicrobial resistance of healthcare-associated infections in a critical care unit in Western Qatar.

BACKGROUND: Healthcare-associated infections (HAIs) in critical patients affect the quality and safety of patient care and increase patient morbidity and mortality. During the COVID-19 pandemic, an increase in the incidence of HAIs, particularly device-associated infections (DAIs), was reported worldwide. In this study, we aimed to estimate the incidence of HAIs in an intensive care unit (ICU) during a 10-year period and compare HAI incidence during the preCOVID-19 and COVID-19 periods. METHODS: A retrospective, observational study of HAIs in the medical-surgical ICU at The Cuban Hospital was conducted. DAIs included central line-associated bloodstream infections (CLABSI), catheter-associated urinary tract infections (CAUTI), and ventilator-associated pneumonia (VAP). Data included the annual incidence of HAIs, etiology, and antimicrobial resistance, using definitions provided by the Centers for Disease Control and Prevention, except for other respiratory tract infections (RTIs). RESULTS: 155 patients with HAI infections were reported, from which 130 (85.5%) were identified during the COVID-19 period. The frequencies of DAIs and non-DAIs were higher during the COVID-19 period, except for Clostridium difficile infections. Species under Enterobacter, Klebsiella, and Pseudomonas dominated in both periods, and higher frequencies of Acinetobacter, Enterococcus, Candida, Escherichia coli, Serratia marcescens, and Stenotrophoma maltophila were noted during COVID-19 period. Device utilization ratio increased to 10.7% for central lines and 12.9% for ventilators, while a reduction of 15% in urinary catheter utilization ratio was observed. DAI incidence was higher during the COVID-19 pandemic, with risks for CLABSI, VAP, and CAUTI increased by 2.79 (95% confidence interval, 0.93-11.21; p < 0.0050), 15.31 (2.53-625.48), and 3.25 (0.68-31.08), respectively. CONCLUSION: The incidence of DAIs increased during the pandemic period, with limited evidence of antimicrobial resistance observed. The infection control program should evaluate strategies to minimize the impact of the pandemic on HAIs.

Protecting Practitioners in Stressed Systems: Translational Bioethics and the COVID-19 Pandemic.

COVID-19 revealed health-care systems in crisis. Intersecting crises of stress, overwork, and poor working conditions have led to workforce strain, under-staffing, and high rates of job turnover. Bioethics researchers have responded to these conditions by investigating the ethical challenges of pandemic response for individuals, institutions, and health systems. This essay draws on pandemic findings to explore how empirical bioethics can inform post-pandemic translational bioethics. Borrowing from the concept of translational science in medicine, this essay proposes that translational bioethics should communicate knowledge about ethical challenges in health-care work to support health systems change. The authors draw from their experience with the Study to Examine Physicians' Pandemic Stress (STEPPS), an interdisciplinary research project that investigates physicians' experiences at the front lines of the COVID-19 pandemic. Using STEPPS as an example of empirical bioethics with potential for translation, the authors review their research and discuss the ongoing process for translating their findings, focusing on how bioethics research and practice can contribute to supporting the health-care workforce.

A comparative look at the social factors that influence entrepreneurship post covid: The case of Ecuador, Chile, Colombia and Peru

Entrepreneurship means much more than starting a new business, it is the opportunity for people to become more creative, proactive, and innovative. Likewise, in the current economic crisis in the world due to the covid 19 pandemic, it is known that, in addition to being an alternative to increase the productivity of companies, while reducing unemployment rates, the social factor is also a determining factor for the growth and sustained development of entrepreneurs. The objective of the research is to carry out a comparative analysis of the social factors that affect Latin American entrepreneurs and their influence pre and post covid in the period corresponding to the years 2019-2021. Thus, data were collected from secondary sources both from national and international statistical offices, likewise documentary-bibliographic research was carried out through the review of different scientific articles, documents, books, texts and doctoral theses in order to build the state of the art. The result is the discussion among public, non-governmental and private sector actors on policies that stimulate the emergence of new enterprises and the strengthening of existing ones with general information on the entrepreneur, factors that affect entrepreneurship and the sustainability of the enterprise. © 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

Impact of infectious disease epidemics on xenophobia: A systematic review.

Background Globally, xenophobia towards out-groups is frequently increased in times of economic and political instability, such as in infectious disease outbreaks. This systematic review aims to: (1) assess the xenophobic attitudes and behaviors towards migrants during disease outbreaks; and (2) identify adverse health outcomes linked to xenophobia. Methods We searched nine scientific databases to identify studies measuring xenophobic tendencies towards international migrants during disease outbreaks and evaluated the resulting adverse health effects. Results Eighteen articles were included in the review. The findings were grouped into: (1) xenophobia-related outcomes, including social exclusion, out-group avoidance, support for exclusionary health policies, othering, and germ aversion; and (2) mental health problems, such as anxiety and fear. Depending on the disease outbreak, different migrant populations were negatively affected, particularly Asians, Africans, and Latino people. Factors such as perceived vulnerability to disease, disgust sensitivity, medical mistrust individualism, collectivism, disease salience, social representation of disease and beliefs in different origins of disease were associated with xenophobia. Conclusions Overall, migrants can be a vulnerable population frequently blamed for spreading disease, promoting irrational fear, worry and stigma in various forms, thus leading to health inequities worldwide. It is urgent that societies adopt effective support strategies to combat xenophobia and structural forms of discrimination against migrants.

Pandemic paranoia in the general population: international prevalence and sociodemographic profile.

BACKGROUND: The term 'pandemic paranoia' has been coined to refer to heightened levels of mistrust and suspicion towards other people specifically due to the COVID-19 pandemic. In this study, we examine the international prevalence of pandemic paranoia in the general population and its associated sociodemographic profile. METHODS: A representative international sample of general population adults (N = 2510) from five sites (USA N = 535, Germany N = 516, UK N = 512, Australia N = 502 and Hong Kong N = 445) were recruited using stratified quota sampling (for age, sex, educational attainment) and completed the Pandemic Paranoia Scale (PPS). RESULTS: The overall prevalence rate of pandemic paranoia was 19%, and was highest in Australia and lowest in Germany. On the subscales of the PPS, prevalence was 11% for persecutory threat, 29% for paranoid conspiracy and 37% for interpersonal mistrust. Site and general paranoia significantly predicted pandemic paranoia. Sociodemographic variables (lower age, higher population size and income, being male, employed and no migrant status) explained additional variance and significantly improved prediction of pandemic paranoia. CONCLUSIONS: Pandemic paranoia was relatively common in a representative sample of the general population across five international sites. Sociodemographic variables explained a small but significant amount of the variance in pandemic paranoia.

Assessment of Changes in Visits and Antibiotic Prescribing During the Agency for Healthcare Research and Quality Safety Program for Improving Antibiotic Use and the COVID-19 Pandemic.

Importance: The Agency for Healthcare Research and Quality (AHRQ) Safety Program for Improving Antibiotic Use aimed to improve antibiotic prescribing in ambulatory care practices by engaging clinicians and staff to incorporate antibiotic stewardship into practice culture, communication, and decision-making. Little is known about implementation of antibiotic stewardship in ambulatory care practices. Objective: To examine changes in visits and antibiotic prescribing during the AHRQ Safety Program. Design, Setting, and Participants: This cohort study evaluated a quality improvement intervention in ambulatory care throughout the US in 389 ambulatory care practices from December 1, 2019, to November 30, 2020. Exposures: The AHRQ Safety Program used webinars, audio presentations, educational tools, and office hours to engage stewardship leaders and clinical staff to address attitudes and cultures that challenge judicious antibiotic prescribing and incorporate best practices for the management of common infections. Main Outcomes and Measures: The primary outcome of the Safety Program was antibiotic prescriptions per 100 acute respiratory infection (ARI) visits. Data on total visits and ARI visits were also collected. The number of visits and prescribing rates from baseline (September 1, 2019) to completion of the program (November 30, 2020) were compared. Results: Of 467 practices enrolled, 389 (83%) completed the Safety Program; of these, 292 (75%) submitted complete data with 6 590 485 visits to 5483 clinicians. Participants included 82 (28%) primary care practices, 103 (35%) urgent care practices, 34 (12%) federally supported practices, 39 (13%) pediatric urgent care practices, 21 (7%) pediatric-only practices, and 14 (5%) other practice types. Visits per practice per month decreased from a mean of 1624 (95% CI, 1317-1931) at baseline to a nadir of 906 (95% CI, 702-1111) early in the COVID-19 pandemic (April 2020), and were 1797 (95% CI, 1510-2084) at the end of the program. Total antibiotic prescribing decreased from 18.2% of visits at baseline to 9.5% at completion of the program (-8.7%; 95% CI, -9.9% to -7.6%). Acute respiratory infection visits per practice per month decreased from baseline (n = 321) to a nadir of 76 early in the pandemic (May 2020) and gradually increased through completion of the program (n = 239). Antibiotic prescribing for ARIs decreased from 39.2% at baseline to 24.7% at completion of the program (-14.5%; 95% CI, -16.8% to -12.2%). Conclusions and Relevance: In this study of US ambulatory practices that participated in the AHRQ Safety Program, significant reductions in the rates of overall and ARI-related antibiotic prescribing were noted, despite normalization of clinic visits by completion of the program. The forthcoming AHRQ Safety Program content may have utility in ambulatory practices across the US.

A multi-country survey on the impact of COVID-19 on dental practice and dentists' feelings in Latin America.

BACKGROUND: The COVID-19 pandemic has significantly influenced the routine of healthcare workers. This study investigated the impact of the pandemic on dental practice and dentists' feelings in Latin America. METHODS: A survey was conducted with dentists from 11 Spanish-speaking Latin American countries in September-December 2020. Professionals were invited by email and via an open campaign promoted on social media. The questions investigated dental care routines, practice changes, and feelings about the pandemic. Descriptive statistics were used to identify frequencies and distributions of variables. Proportions were compared using chi-square tests. RESULTS: A total of 2127 responses were collected from a sample with diverse demographic, sex, work, and education characteristics. The impact of COVID-19 was considered high/very high by 60% of respondents. The volume of patients assisted weekly was lower compared with the pre-pandemic period (mean reduction = 14 ± 15 patients). A high rate of fear to contracting the COVID-19 at work was observed (85%); 4.9% of participants had a positive COVID-19 test. The main professional challenges faced by respondents were reduction in the number of patients or financial gain (35%), fear of contracting COVID-19 (34%), and burden with or difficulty in purchasing new personal protective equipment (22%). The fear to contracting COVID-19 was influenced by the number of weekly appointments. A positive test by the dentists was associated with their reports of having assisted COVID-19 patients. The most cited feelings about the pandemic were uncertainty, fear, worry, anxiety, and stress. Negative feelings were more prevalent for professionals who did not receive training for COVID-19 preventive measures and those reporting higher levels of fear to contract the disease. CONCLUSION: This multi-country survey indicated a high impact of the pandemic on dental care routines in Latin America. A massive prevalence of bad feelings was associated with the pandemic.

Taking a machine learning approach to optimize prediction of vaccine hesitancy in high income countries.

Understanding factors driving vaccine hesitancy is crucial to vaccination success. We surveyed adults (N = 2510) from February to March 2021 across five sites (Australia = 502, Germany = 516, Hong Kong = 445, UK = 512, USA = 535) using a cross-sectional design and stratified quota sampling for age, sex, and education. We assessed willingness to take a vaccine and a comprehensive set of putative predictors. Predictive power was analysed with a machine learning algorithm. Only 57.4% of the participants indicated that they would definitely or probably get vaccinated. A parsimonious machine learning model could identify vaccine hesitancy with high accuracy (i.e. 82% sensitivity and 79-82% specificity) using 12 variables only. The most relevant predictors were vaccination conspiracy beliefs, various paranoid concerns related to the pandemic, a general conspiracy mentality, COVID anxiety, high perceived risk of infection, low perceived social rank, lower age, lower income, and higher population density. Campaigns seeking to increase vaccine uptake need to take mistrust as the main driver of vaccine hesitancy into account.

Asymptomatic SARS-CoV-2 Infection in Havana, Cuba, March-June 2020: Epidemiological Implications.

INTRODUCTION: The percentage of asymptomatic COVID-19 cases worldwide is estimated at 18-50%; 53% in Cuba specifically, and 58% in Havana, the Cuban capital and the 2020 epicenter of the country's COVID-19 epidemic. These figures, however, do not represent the transmission capacity or behavior of asymptomatic cases. Understanding asymptomatic transmission's contribution to SARS-CoV-2 spread is of great importance to disease control and prevention. OBJECTIVE: Identify the epidemiological implications of asymptomatic SARS-CoV-2 infection in Havana, Cuba, during the first wave of the epidemic in 2020. METHODS: We carried out a cross-sectional study of all confirmed COVID-19 cases diagnosed in Havana, Cuba, from March 16 through June 30, 2020. The information was obtained through review of the standardized form for investigation of suspected and confirmed cases. Examined variables included age, sex, occupation, case type and source of infection. Cases were divided into asymptomatic and symptomatic groups, and transmission was characterized through the creation of a contact matrix. Analysis was carried out in Epidat and R. RESULTS: We studied 1287 confirmed cases, of which 57.7% (743) were asymptomatic, and 42.3% (544) were symptomatic. Symptomatic presentation was the most common for both imported and introduced cases, while asymptomatic presentation was more common in autochthonic cases and infections from an undetermined source. Asymptomatic infection was more common in groups aged ⟨20 and 20-59 years, while symptomatic infection was more common in those aged ⟩60 years. In the contact matrix, 34.6% of cases (445/1287) were not tied to other cases, and 65.4% (842/1287) were infectious-infected dyads, with symptomatic-symptomatic being the most common combination. The majority of primary cases (78.5%; 1002/1276) did not generate secondary cases, and 85.6% (658/743) of asymptomatic cases did not lead to other cases (although one asymptomatic superspreader led to 90 cases in a single event). However, 63.2% (344/544) of symptomatic primary cases generated secondary cases, and 11 symptomatic superspreaders spawned 100 secondary cases in different events. CONCLUSIONS: Asymptomatic SARS-CoV-2 infection was the most common form of COVID-19 in Havana during the study period, but its capacity for contagion was lower than that of symptomatic individuals. Superspreader events under specific conditions played an important role in sustaining the epidemic.

Characteristics and Outcomes of Heart Transplant Recipients With Coronavirus-19 Disease in a High-volume Transplant Center.

BACKGROUND: Heart transplant (HT) recipients may be at higher risk of acquiring SARS-CoV-2 infection and developing critical illness. The aim of this study is to describe characteristics and outcomes of HT recipients infected by SARS-COV-2, from a high-volume transplant center. METHODS: We have described data of all adult HT recipients with confirmed coronavirus disease 2019 by RT-PCR in nasopharyngeal samples from April 5, 2020, to January 5, 2021. Outcomes and follow-up were recorded until February 5, 2021. RESULTS: Forty patients were included. Twenty-four patients (60%) were men; the median age was 53 (40-60) y old; median HT time was 34 mo; and median follow-up time 162 d. The majority needed hospitalization (83%). Immunosuppressive therapy was reduced/withdrawn in the majority of patients, except from steroids, which were maintained. Seventeen patients (42.5%) were classified as having severe disease according to the ordinal scale developed by the World Health Organization Committee. They tended to have lower absolute lymphocyte count (P < 0.001) during follow-up when compared with patients with mild disease. Thirty-day mortality was 12.5%. However, a longer follow-up revealed increased later mortality (27.5%), with median time to death around 35 d. Bacterial nosocomial infections were a leading cause of death. Cardiac allograft rejection (10%) and ventricular dysfunction (12.5%) were also not negligible. CONCLUSIONS: Major findings of this study corroborate other cohorts' results, but it also reports significant rate of later events, suggesting that a strict midterm surveillance is advisable to HT recipients with coronavirus disease 2019.

Pandemic paranoia, general paranoia, and their relationships with worry and beliefs about self/others - A multi-site latent class analysis.

BACKGROUND: During the COVID-19 pandemic, an increase in paranoid thinking has been reported internationally. The development of the Pandemic Paranoia Scale (PPS) has provided a reliable assessment of various facets of pandemic paranoia. This study aimed to (i) identify classes of individuals with varying levels of general paranoia and pandemic paranoia, and (ii) examine associations between classification and worry, core beliefs, and pro-health behaviours. METHODS: An international sample of adults (N = 2510) across five sites completed the Revised-Green Paranoid Thoughts Scale and the PPS. Latent class analysis (LCA) was conducted using these two paranoia variables. Classes were compared on trait worry (Penn State Worry Questionnaire), beliefs about self/others (Brief Core Schema Scales), and pro-health behaviour. RESULTS: Three latent classes emerged: Class 1 with low R-GPTS and PPS scores, Class 2 with a high R-GPTS score and a moderate PPS score, and Class 3 with high R-GPTS and PPS scores. Compared to Class 1, Classes 2-3 were associated with more worry and negative self- and other-beliefs. Class 3 was further characterised by greater positive-self beliefs and less engagement in pro-health behaviours. Engagement in pro-health behaviours was positively correlated with interpersonal mistrust and negatively correlated with paranoid conspiracy and persecutory threat. CONCLUSIONS: Individuals with a general paranoia tendency were more likely to respond to the global health threats in a suspicious and distrusting way. Our findings suggested that worry and negative self/other beliefs may contribute to not just general paranoia but also pandemic paranoia. The preliminary finding of a link between pro-health behaviours and interpersonal mistrust warrants further examination.

A Brazilian Inter-Hospital Candidemia Outbreak Caused by Fluconazole-Resistant Candida parapsilosis in the COVID-19 Era.

Horizontal transmission of fluconazole-resistant Candida parapsilosis (FRCP) through healthcare workers' hands has contributed to the occurrence of candidemia outbreaks worldwide. Since the first COVID-19 case in Brazil was detected in early 2020, hospitals have reinforced hand hygiene and disinfection practices to minimize SARS-CoV-2 contamination. However, a Brazilian cardiology center, which shares ICU patients with a cancer center under a FRCP outbreak since 2019, reported an increased FRCP candidemia incidence in May 2020. Therefore, the purpose of this study was to investigate an inter-hospital candidemia outbreak caused by FRCP isolates during the first year of the COVID-19 pandemic in Brazil. C. parapsilosis bloodstream isolates obtained from the cancer (n = 35) and cardiology (n = 30) centers in 2020 were submitted to microsatellite genotyping and fluconazole susceptibility testing. The ERG11 gene of all isolates from the cardiology center was sequenced and compared to the corresponding sequences of the FRCP genotype responsible for the cancer center outbreak in 2019. Unprecedentedly, most of the FRCP isolates from the cardiology center presented the same genetic profile and Erg11-Y132F mutation detected in the strain that has been causing the persistent outbreak in the cancer center, highlighting the uninterrupted horizontal transmission of clonal isolates in our hospitals during the COVID-19 pandemic.

Real-time individual benefit from social interactions before and during the lockdown: the crucial role of personality, neurobiology and genes.

Social integration is a major resilience factor for staying healthy. However, the COVID-19-pandemic led to unprecedented restrictions in social life. The consequences of these social lockdowns on momentary well-being are yet not fully understood. We investigated the affective benefit from social interactions in a longitudinal birth cohort. We used two real-time, real-life ecological momentary assessments once before and once during the initial lockdown of the pandemic (N = 70 participants; n~6800 observations) capturing the protective role of social interactions on well-being. Moreover, we used a multimethod approach to analyze ecological assessment data with individual risk and resilience factors, which are promising moderators in the relationship of social behavior, stress reactivity, and affective states (i.e., amygdala volume, neuroticism, polygenic risk for schizophrenia). Social contacts were linked to higher positive affect both during normal times and during the COVID-19-pandemic (beta coefficient = 0.1035), highlighting the beneficial role of social embedding. Interestingly, this relationship was differentially moderated by individual risk and resilience factors. In detail, participants with a larger left amygdala volume (beta coefficient = -0.0793) and higher neuroticism (beta coefficient = -0.0958) exhibited an affective benefit from more social interactions prior to the pandemic. This pattern changed during the pandemic with participants with smaller amygdala volumes and lower neurotic traits showing an affective gain during the pandemic. Moreover, participants with low genetic risk for schizophrenia showed an affective benefit (beta coefficient = -0.0528) from social interactions irrespective of the time point. Our results highlight the protective role of social integration on momentary well-being. Thereby, we offer new insights into how this relationship is differently affected by a person's neurobiology, personality, and genes under adverse circumstances.

Coping under stress: Prefrontal control predicts stress burden during the COVID-19 crisis.

The coronavirus (COVID-19) pandemic has confronted millions of people around the world with an unprecedented stressor, affecting physical and mental health. Accumulating evidence suggests that emotional and cognitive self-regulation is particularly needed to effectively cope with stress. Therefore, we investigated the predictive value of affective and inhibitory prefrontal control for stress burden during the COVID-19 crisis. Physical and mental health burden were assessed using an online survey, which was administered to 104 participants of an ongoing at-risk birth cohort during the first wave in April 2020. Two follow-ups were carried out during the pandemic, one capturing the relaxation during summer and the other the beginning of the second wave of the crisis. Prefrontal activity during emotion regulation and inhibitory control were assessed prior to the COVID-19 crisis. Increased inferior frontal gyrus activity during emotion regulation predicted lower stress burden at the beginning of the first and the second wave of the crisis. In contrast, inferior and middle frontal gyrus activity during inhibitory control predicted effective coping only during the summer, when infection rates decreased but stress burden remained unchanged. These findings remained significant when controlling for sociodemographic and clinical confounders such as stressful life events prior to the crisis or current psychopathology. We demonstrate that differential stress-buffering effects are predicted by the neural underpinnings of emotion regulation and cognitive regulation at different stages during the pandemic. These findings may inform future prevention strategies to foster stress coping in unforeseen situations.