In the early stage of an infectious disease outbreak, public health strategies tend to gravitate towards non-pharmaceutical interventions (NPIs) given the time required to develop targeted treatments and vaccines. One of the most common NPIs is Test-Trace-Isolate (TTI). One of the factors determining the effectiveness of TTI is the ability to identify contacts of infected individuals. In this study, we propose a multi-layer temporal contact network to model transmission dynamics and assess the impact of different TTI implementations, using SARS-CoV-2 as a case study. The model was used to evaluate TTI effectiveness both in containing an outbreak and mitigating the impact of an epidemic. We estimated that a TTI strategy based on home isolation and testing of both primary and secondary contacts can contain outbreaks only when the reproduction number is up to 1.3, at which the epidemic prevention potential is 88.2% (95% CI: 87.9%-88.5%). On the other hand, for higher value of the reproduction number, TTI is estimated to noticeably mitigate disease burden but at high social costs (e.g., over a month in isolation/quarantine per person for reproduction numbers of 1.7 or higher). We estimated that strategies considering quarantine of contacts have a larger epidemic prevention potential than strategies that either avoid tracing contacts or require contacts to be tested before isolation. Combining TTI with other social distancing measures can improve the likelihood of successfully containing an outbreak but the estimated epidemic prevention potential remains lower than 50% for reproduction numbers higher than 2.1. In conclusion, our model-based evaluation highlights the challenges of relying on TTIs to contain an outbreak of a novel pathogen with characteristics similar to SARS-CoV-2, and that the estimated effectiveness of TTI depends on the way contact patterns are modeled, supporting the relevance of obtaining comprehensive data on human social interactions to improve preparedness.

Microbial contamination poses a significant threat to human health, food safety, and the ecological environment. Its rapid spread and potential pathogenicity create an urgent global challenge for efficient detection and control. However, existing methods have several shortcomings such as traditional techniques like culture methods and polymerase chain reaction (PCR) are time-consuming, while nanomaterials and aptamers often lack selectivity, stability, and affordability. Additionally, conventional disinfectants can be inefficient, lead to drug resistance, and harm the environment. To address these challenges, developing new materials and technologies that are efficient, sensitive, and stable is crucial for microbial detection and control. In this context, metal-organic frameworks (MOF) and molecularly imprinted polymers (MIP) have emerged as promising functional materials due to their unique structural advantages. The high porosity of MOF provides ample imprinting sites for MIP, while MIP enhance selective adsorption and inactivation of target microorganisms by MOF. This synergistic combination results in a composite material that offers a novel solution for microbial detection, significantly improving sensitivity, selectivity, antibacterial efficiency, and environmental friendliness. This paper reviews the synthesis strategies of metal-organic frameworks-molecularly imprinted polymers (MOF-MIP), highlighting their structural properties and innovative applications in microbial detection, which aim to inspire researchers in related fields. Looking ahead, future advancements in material science and biotechnology are expected to lead to widespread use of MOF-MIP composites in food safety, environmental monitoring, medical diagnosis, and public health-providing robust support against microbial pollution. By studying the collaborative mechanisms of MOF and MIP while optimizing design processes will enhance precision speed cost-effectiveness in microbial detection technology significantly contributing to human health and environmental safety.

At the end of 2022, China adjusted its coronavirus disease 2019 (COVID-19) prevention and control strategy. How this adjustment affected the cumulative infection rate is debated, and how second booster dose vaccination affected the pandemic remains unclear.

We collected COVID-19 case data for China's mainland from December 7, 2022, to January 7, 2023, reported by the World Health Organization. We also collected cumulative infection rate data from five large-scale population-based surveys. Next, we developed a dynamic transmission compartment model to characterize the COVID-19 pandemic and to estimate the cumulative infection rate. In addition, we estimated the impact of second booster vaccination on the pandemic by examining nine scenarios with different vaccination coverages (0%, 20%, and 40%) and vaccine effectiveness (30%, 50%, and 70%).

By January 7, 2023, when COVID-19 was classified as a Class B infectious disease, the cumulative infection rate of the Omicron variant nationwide had reached 84.11% (95% confidence interval [CI]: 78.13%-90.08%). We estimated that the cumulative infection rates reached 50.50% (95% CI: 39.58%-61.43%), 56.15% (95% CI: 49.05%-67.22%), 73.82% (95% CI: 64.63%-83.02%), 75.76% (95% CI: 67.02%-84.50%), and 84.99% (95% CI: 79.45%-90.53%) on December 19, 20, 25, and 26, 2022, and on January 15, 2023, respectively. These results are similar to those of the population survey conducted on the corresponding dates, that is 46.93%, 61%, 63.52%, 74%, and 84.7%, respectively. In addition, we estimated that by January 7, 2023, the cumulative infection rate decreased to 29.55% (64.25%) if vaccination coverage and the effectiveness of second booster vaccination were 40% (20%) and 70% (30%), respectively.

We estimate that, in late 2022, the cumulative infection rate was approximately 84% and that second booster vaccination before the policy adjustment was effective in reducing this rate.

Background/Objectives: The COVID-19 pandemic impacted healthcare access globally, with chronic conditions like congenital heart defects (CHD) posing unique challenges. While general trends have been studied, little is known about the impact on CHD patients in Europe. This study assessed the living conditions, healthcare utilization, and psychosocial well-being of CHD patients and their families in Germany, considering CHD severity, gender differences, and changes over time. Methods: Data were derived from two cross-sectional online surveys conducted by the National Register for Congenital Heart Defects (NRCHD) in April 2020 and April 2021. Surveys targeted CHD patients and relatives, assessing healthcare access, risk perception, COVID-19-related knowledge, and psychosocial effects. Statistical analyses compared responses by gender, CHD severity, and survey period. Results: A total of 6737 responses were analyzed. Healthcare utilization declined early in the pandemic due to infection fears but partially recovered in 2021. Perceived health risks increased from 27.9% in 2020 to 38.7% in 2021 (p < 0.001), along with higher psychosocial distress. COVID-19-related knowledge was greater in 2020, but trust in government information declined, while reliance on healthcare providers increased. Gender and CHD severity influenced healthcare engagement and perceptions. Conclusions: This study highlights the challenges CHD patients faced, underscoring the need for holistic, patient-centered care. Future interventions should focus on tailored communication and support strategies, particularly for vulnerable populations, to mitigate the impact of future health crises.

To analyze the effects of social distancing and isolation during the Covid-19 pandemic on depressive symptoms and frailty in older adults in Primary Health Care.

Prospective cohort study, using the following data collection instruments: Center for Epidemiological Studies depression scale, adherence to social distancing and isolation, and markers of the physical frailty phenotype. Descriptive statistical analysis, association and proportional hazards regression were performed.

51.8% of the older adults progressed to pre-frailty, 14.1% had depressive symptoms, and a low de-gree of adherence to social distancing and isolation (69.4%). There was no association between dis-tancing and isolation and depressive symptoms (p=0.748) and physical frailty (p=0.5). Single, sepa-rated, divorced or widowed people have 62% (HR=0.38; 95%CI 0.15-0.96) less risk of being classified as frail and 57% (HR=0.43; 95%CI 0.21- 0.9) less chance of presenting depressive symptoms com-pared to married people.

the low degree of adherence to social distancing and isolation showed no association with depressive symptoms and physical frailty. Sociodemographic factors highlighted risks of frailty and depressive symptoms that require attention and an individualized gerontological care plan.

The purpose of this brief report was to examine the association between COVID-fear with psychiatric symptoms severity and substance use risk in an outpatient population with co-occurring substance use and mental health disorders and whether these associations were moderated by treatment engagement, especially after providers had shifted from an in-person care model to a telehealth format. A total of 136 patients receiving outpatient treatment for comorbid substance use and mental health disorders completed self-report questionnaires on their psychiatric symptoms, substance use, and treatment engagement (i.e., frequency, length, and helpfulness of phone and video sessions with a mental health counselor, psychiatrist, or primary care provider) in the past month between November 2020 and March 2021. Results showed that COVID-fear was significantly associated with psychiatric symptom severity, but not substance use risk. Additionally, perceived helpfulness of phone counseling sessions moderated the associations between COVID-fear and global psychiatric symptom severity, such that COVID-fear and global psychiatric symptom severity were positively associated when perceived helpfulness was low, and not associated if perceived helpfulness was high. The present results highlight the importance of directly addressing fears specific to a national emergency, as well as for providers to build strong rapport with their clients.

The novel coronavirus disease 2019 (COVID-19) changed the lives of older adults as well as their activities, and these changes will likely impact their physical functioning. However, few reports have prospectively assessed the individual characteristics and pandemic-related changes associated with the living conditions and physical functioning of community-dwelling older adults or clarified the associated factors. This study evaluated the changes in the living conditions and physical functioning of community-dwelling older adults due to the COVID-19 pandemic and identified the associated factors.

Forty-one community-dwelling older adults who met the eligibility criteria were surveyed before and after the first wave of the COVID-19 pandemic to assess their living conditions and physical functioning. The association between changes in physical functioning and the characteristics of older adults was examined using multiple regression analysis.

It was demonstrated that the number of participants who indicated that they rarely went out increased approximately threefold after the first wave of the pandemic. In addition, significant differences were found in 5-meter walking speeds (comfort speed) of participants after the first wave; however, the change was significantly lower for the group requiring nursing care than for the group requiring assistance.

These results indicate that, given the increased number of homebound older adults due to the pandemic, more attention should be given to maintain physical functioning of older adults, specifically those requiring nursing care.

At the end of December 2019, the world faced severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), which led to the outbreak of coronavirus disease 2019 (COVID-19), associated with respiratory issues. This virus has shown significant challenges, especially for senior citizens, patients with other underlying illnesses, or those with a sedentary lifestyle. Serological tests conducted early on have helped identify how the virus is transmitted and how to curb its spread. The study hypothesis was that the rapid serological test for SARS-CoV-2 antibodies could indicate the immunoreactive profile during the COVID-19 pandemic in a university population.

To conduct active surveillance for serological expression of anti-SARS-CoV-2 antibodies in individuals within a university setting during the COVID-19 pandemic.

This sectional study by convenience sampling was conducted in a large university in Niteroi-RJ, Brazil, from March 2021 to July 2021. The study population consisted of students, faculty, and administrative staff employed by the university. A total of 3433 faculty members, 60703 students, and 3812 administrative staff were invited to participate. Data were gathered through rapid serological tests to detect immunoglobulin (Ig) M and IgG against SARS-CoV-2. The χ² or Fisher's exact test was used to conduct statistical analysis. A 0.20 significance level was adopted for variable selection in a multiple logistic regression model to evaluate associations.

A total of 1648 individuals were enrolled in the study. The proportion of COVID-19 positivity was 164/1648 (9.8%). The adjusted logistic model indicate a positive association between the expression of IgM or IgG and age [odds ratio (OR) = 1.16, 95%CI: 1.02-1.31] (P < 0.0024), individuals who had been in contact with a COVID-19-positive case (OR = 3.49, 95%CI: 2.34-5.37) (P < 0.001), those who had received the COVID-19 vaccine (OR = 2.33, 95%CI: 1.61-3.35) (P < 0.001) and social isolation (OR = 0.59, 95%CI: 0.41-0.84) (P < 0.004). The likelihood of showing a positive result increased by 16% with every ten-year increment. Conversely, adherence to social distancing measures decreased the likelihood by 41%.

These findings evidenced that the population became more exposed to the virus as individuals discontinued social distancing practices, thereby increasing the risk of infection for themselves.

During the COVID-19 pandemic, the world witnessed a disproportionate infection rate among marginalized and low-income groups. Despite empirical evidence suggesting that structural inequalities in society contribute to health disparities, there has been little attempt to offer a computational and theoretical explanation to establish its plausibility and quantitative impact. Here, we focus on two aspects of structural inequalities: wealth inequality and social segregation. Our computational model demonstrates that (a) due to the inequality in self-quarantine ability, the infection gap widens between the low-income and high-income groups, and the overall infected cases increase, (b) social segregation between different socioeconomic status (SES) groups intensifies the disease spreading rates, and (c) the second wave of infection can emerge due to a false sense of safety among the medium and high SES groups. By performing two data-driven analyses, one on the empirical network and economic data of 404 metropolitan areas of the United States and one on the daily Covid-19 data of the City of Chicago, we verify that higher segregation leads to an increase in the overall infection cases and higher infection inequality across different ethnic/socioeconomic groups. These findings together demonstrate that reducing structural inequalities not only helps decrease health disparities but also reduces the spread of infectious diseases overall.

The COVID-19 pandemic has led to the implementation of social distancing measures on an unprecedented scale, but their impacts on the mental health of the general public, especially in places with strict and prolonged restrictions, are not well understood. This study explored the Hong Kong public's views on social distancing measures that were implemented approximately two years into the pandemic and examined how these perceptions influence their stay-at-home motivation and mental health based on Protection Motivation Theory (PMT).

A two-phase sequential exploratory mixed-methods study was conducted.

Data were collected as part of a larger study of a universal online public health campaign in Hong Kong.

First, qualitative interviews with 26 participants from diverse backgrounds explored their views on COVID-19 and social distancing measures. Subsequently, a quantitative online survey of 1025 participants from the general population examined the relationship between PMT constructs, stay-at-home motivation, and mental health.

Mental health and PMT constructs, including protective motivation, perceived severity, perceived vulnerability, self-efficacy, response cost, and response efficacy.

The qualitative results identified three themes: 'the inescapable and unpredictable nature of COVID-19', 'stay-at-home impacts all facets of life', and 'the realities and challenges of social distancing during a pandemic'. Subsequently, quantitative findings showed that most PMT constructs, such as perceived severity (ß=0.21, 95% CI=0.15-0.27), perceived vulnerability (ß=0.24, 95% CI=0.18-0.30), self-efficacy (ß=0.27, 95% CI=0.20-0.34) and response efficacy (ß=0.09, 95% CI=0.02-0.15), were associated with stay-at-home motivation (all p<0.01), except for response cost. Higher perceived severity (ß=1.42-1.74), perceived vulnerability (ß=0.93-1.36), and response cost (ß=1.29-1.64) were associated with poorer mental health.

This study examined the public perceptions and experiences of strict and prolonged social distancing measures two years into a global pandemic. The findings highlighted the significance of using the PMT model to understand the factors influencing stay-at-home intentions and their mental health during the pandemic. The findings provide valuable insights to guide the development and implementation of future public health interventions.

Globally, over 768 million confirmed cases and 6.9 million deaths had been documented as of July 17, 2023. Coronaviruses have a relatively large RNA genome. As with other viruses, SARS-CoV-2 does have an envelope film produced from host cells that are assisted by virally encoded glycoproteins that are required for infectivity, immunological assault, and viral particle production. Although the intermediate source of origin and transmission to humans is unexplained, rapid transmission from human to human has been established. This review focuses on the mechanistic framework for understanding the SARS-CoV-2 viral infection. Additionally, it discusses the origins and implications of COVID-19 using direct quotations from the published scientific literature to avoid misinterpretation of this catastrophic event that resulted in a massive loss of human life and impact on the global economy. The current available information unfolds large number of topics related with COVID-19 and/or the coronavirus (SARS-CoV-2) responsible of the disease. This review article also delves into the multifaceted aspects of COVID-19 and SARS-CoV-2, with a specific focus on a controversial yet essential issue: the possible association between SARS-CoV-2's origin and aldose reductase, an enzyme known for its role in diabetic retinopathy. Exploring this connection holds utmost significance, offering valuable insights into COVID-19's pathogenesis and unlocking new avenues for therapeutic interventions. It is important to trace back the evolution of coronaviruses and reveal the possible origin of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease 2019 (COVID-19).

COVID-19 patients in self-isolation tended to be ignored and marginalized. This marginalization then results in fear, anxiety, depression, stress, trauma, and even suicidal tendency. During self-isolation, patients are only treated medically but their psychological and spiritual aspects are often abandoned. Hence, a more holistic approach is necessary to treat COVID-19 patients while they are in self-isolation. The present study aims to explain the self-isolation model in Muhammadiyah COVID-19 Pesantren in Indonesia as a comprehensive model with holistic, religious, spiritual, and psychological approaches. This research is a qualitative research. The research involved fifty respondents comprising founding spiritual figures of the Muhammadiyah COVID-19 Pesantrens, doctors and medical staff, psychologists, and COVID-19 survivors. The data were collected through observation, documentation, and interviews. Data analysis was conducted through data display, reduction, categorization, and interpretation. The research findings show that the Muhammadiyah COVID-19 Pesantren integrates the Islamic educational aspect and COVID-19 hospital concepts. The treatment through the three approaches resulted in the increased health of the COVID-19 patients. It is expected that the combination of spiritual, psychological, and medical approaches during the COVID-19 pandemic can be adapted to mitigate other diseases, such as TBC, HIV, or similar pandemics post COVID-19.

Epidemic intelligence efforts aim to predict, timely detect and assess (re-)emerging pathogens, guide and evaluate infectious disease prevention or control. We emphasise the underused potential of integrating the monitoring of risks related to exposure, disease or death, particularly in settings where limited diagnostic capacity and access to healthcare hamper timely prevention/control measures. Monitoring One Health exposures, human behaviour, immunity, comorbidities, uptake of control measures or pathogen characteristics can complement facility-based surveillance in generating signals of imminent or ongoing outbreaks, and in targeting preventive/control interventions or epidemic preparedness to high-risk areas or subpopulations. Low-cost risk data sources include electronic medical records, existing household/patient/environmental surveys, Health and Demographic Surveillance Systems, medicine distribution and programmatic data. Public health authorities need to identify and prioritise risk data that effectively fill gaps in intelligence that facility-based surveillance can not timely or accurately answer, determine indicators to generate from the data, ensure data availability, regular analysis and dissemination.

The World Health Organization (WHO) and the United States Centers for Disease Control and Prevention (US CDC) documented wearing facemasks in public as one of the most important prevention measures to limit COVID-19 spread. Considering this, WHO and the US CDC developed guidelines for wearing facemasks in public. This study aimed to determine the prevalence and correlates of facemask wearing during the COVID-19 pandemic in northern Uganda. We conducted a cross-sectional study on 587 adults across nine districts in northern Uganda, across 24 high-volume health facilities offering free COVID-9 vaccines. Respondents were selected from the health facilities using a single-stage systematic sampling method. Data was collected in a face-to-face questionnaire interview with an internal validity of Cronbach's α = 0.72 and entered into Excel. A local Institutional Research Board (IRB) approved the study, and Stata 18 was used for data analysis using Modified Poisson Regression to generate prevalence ratios (PR) and adjusted prevalence ratios (aPR), with a p-value set at < 0.05. The reported prevalence of facemask wearing in public among respondents was high [88.7%,95%CI:86%,-91%]. A multivariate analysis found that obese respondents and those who were receptive (agreed) to the lockdown measures were respectively,1.12 times more likely to wear facemasks [aPR = 1.12,95%CI:1.04-1.19;p < 0.01], and1.23 times more likely to wear facemasks [aPR = 1.23, 95%CI:1.07-1.41;p < 0.01]. The most significant finding from this study was the high prevalence of self-reported facemask wearing among adult community members in northern Uganda. The correlates of wearing facemasks were, being obese and agreeing with the presidential directives on the lockdown measures. Although this prevalence is within acceptable rates, the strict enforcement of the practice by security forces has raised concerns among many community members and human rights advocates. We recommend more studies on communities' perspectives on the challenges and benefits of facemask-wearing after the COVID-19 pandemic.

To examine the network structure of depression and anxiety symptoms and their association with Family Health among middle-aged and older people in China.

This was a quantitative cross-sectional study, a total of 3,365 middle-aged and older people over 45 years were recruited, comprising 1,748 males and 1,617 females. Data were collected by using Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, and the Short Form of the Family Health Scale.

The network structure of anxiety and depression symptoms was stable, and "Fatigue" and "Restlessness" were central symptoms and bridge symptoms. "Family, social or emotional health process" and "Family Healthy Lifestyle" exhibited a significant positive correlation, whereas "Family health resources" and "Suicide" demonstrated a significant negative correlation.

"Fatigue" and "Restlessness" are the targeted symptoms for preventing comorbid depression and anxiety symptoms among middle-aged and older adults, and the enhancement of "Family health resources" could be crucial for averting the onset of depression and anxiety symptoms within this demographic group.

The COVID-19 pandemic has led to instructions and suggestions from governments and experts to maintain social (physical) distance between people to prevent aerosol transmission of the virus, which is now becoming the norm. Thus, we examined whether the pandemic extended the distance between personal belongings.

We recruited 68 university students and instructed them to place their belongings on a long table following another participant (i.e., confederate). We measured the physical distance between the two belongings (i.e., the participant's and the confederate's). We collected data between June 10, 2022 and January 23, 2023. Pre-pandemic data was from Ariga (2016). Analysis was completed with one-tailed t-tests.

Compared with the pre-pandemic results, via one-tailed t-test, the distance between the two belongings during the pandemic was significantly longer. Our results supported the hypothesis that the psychological framework for processing people's belongings has dramatically changed during this pandemic.

This change may have been driven by social distancing practices or an increase in perceived vulnerability to disease. Our results provide new implications for future public spatial design, in other words, not only the distance between people, but also the distance between their belongings.

Primary healthcare (PHC) in Iran, like in other countries, has a fundamental role in managing COVID-19 despite facing various challenges. Therefore, the aim of this study was to qualitatively analyze the performance of PHC in the management of COVID-19 and identify the existing challenges, as well as strategies.

The data for this qualitative study with a conventional content analysis were collected through interviews. The participants of the study were PHC employees, managers, and experts who had high experience and knowledge in the field of the study. The participants of the study were selected using purposeful sampling. The data were analyzed manually using the Granhiem and Landman method.

PHC performance was divided into five main themes and 13 subthemes, including epidemic diagnosis, training, making changes to respond, care and vaccination, cooperation, and coordination. Six main themes and 19 subthemes were categorized as the challenges of dealing with COVID-19, which are inputs and structure, infectious disease control and management, management and policymaking, community support, education and evidence management, and providing care services. Strategies were categorized into four main and 16 subthemes. The main strategies were making preparations before the epidemic, reviewing at all levels of PHC, cooperation and coordination, and integrated information.

The results of this study can be used by authorities and policymakers to prepare well for possible future pandemics.

Since the outbreak of COVID-19 in late 2019, and until the Chinese government downgraded the pandemic control measures to Category B management in January 2023, various epidemic prevention measures were implemented across regions based on the local spread of the virus. Correspondingly, educational formats shifted between online and offline teaching according to the pandemic situation. Changes in daily life and teaching methods, along with the high initial mortality rate of COVID-19, have had varying degrees of negative impact on the mental health (MH) of adolescents.

This study aimed to explore the impact of the COVID-19 pandemic status on the sleep duration (SD) and MH of adolescents, investigate the relationship between SD and MH in middle school students, and evaluate the protective effect of SD on MH.

Using a convenient sampling method, 6 junior high schools and 3 senior high schools in Guiyang City, China, were selected. Random samples from two classes per grade in each school were chosen for the survey. The study was conducted annually for three consecutive years using the Mental Health Inventory of Middle-school students (MMHI-60) scale and a self-designed questionnaire. Data were analyzed using IBM SPSS version 26.0 software, employing ANOVA, cross-tabulation, and generalized linear models to examine the relationship between SD and MH scores.

The SD and MH scores of middle school students in 2021, 2022, and 2023 were 436.41 ± 71.21 min/day, 423.69 ± 61.71 min/day, and 445.26 ± 65.04 min/day (F = 41.44, p < 0.001), 1.72 ± 0.63, 1.87 ± 0.73, and 1.79 ± 0.67 (F = 18.31, p < 0.001). The SD compliance rates were 34.1%, 23.9%, and 33.2%, and the MH problem detection rates were 27.9%, 36.4%, and 33.4%, respectively; there is a significant correlation between SD and MH scores among middle school students (P < 0.001); the protective effects of SD compliance on MH were 1.859 times, 2.156 times, and 1.516 times higher than those of SD non-compliance (all p < 0.001).

Meeting the SD standard is a protective factor for adolescent MH. The COVID-19 pandemic and its control measures have had a severe and long-term negative impact on both SD and MH in middle school students, with differences observed between genders and academic levels. The greater the severity of the pandemic and the stricter the control measures, the more significant the negative impact on SD and MH etc.

Isolation as a public health practice encompasses physical and social separation of individuals from others, and it was key in preventing human-to-human spread of the coronavirus disease 2019 (COVID-19) virus. Yet, experiences of patients in isolation have been mostly studied in the general population and qualified health professionals, excluding nursing students who were also part of the frontliners and therefore, part of the population at risk of infections.

The study explored how nursing students who tested positive for the COVID-19 virus have experienced the process of being in isolation and understanding their source of resilience.

Northeastern Namibia.

A qualitative phenomenological study was conducted. Data were collected from 14 nursing students via face-to-face and telephone interviews, while recruitment was conducted through purposive and snowballing sampling techniques. Data were analysed by interpretative phenomenological analysis.

Five themes that emerged from data analysis are the physiological spectrum, psychosocial spectrum, the value of isolation, source of resilience and coping mechanisms and the impact of isolation.

Students experienced isolation as a period of reflecting on how their symptoms commenced and progressed from minor to major. Students' sources of resilience and coping mechanisms were to remain opportunistic, learn new skills and lean on family support. Moreover, isolation negatively affected students' academic life and human connectedness.

The findings have implications in preparation for future pandemics, promoting the resilience and mental health of nursing students. Moreover, they may assist in developing a coordinated counselling and psychological support system for nursing students.

This study aimed to assess the impact of the COVID-19 pandemic on the characteristics and outcomes of patients with burns in a burn centre situated in Northwest China.

A retrospective descriptive study.

This study was conducted in Tangdu Hospital, a major regional burn centre in Xi'an, Shaanxi Province of China.

A total of 1413 patients with burns were included in the study, with the admission period spanning from 2017 to 2019 (before the pandemic) and 2020 to 2022 (during the pandemic).

Burn hospitalisations decreased during the pandemic for both children (9.80%) and adults (24.68%). The pandemic was associated with a decrease in work-related burns and a corresponding increase in the risk of domestic burns (both p<0.001). The proportions of burns due to scald and flame increased, while electrical injury cases and proportions decreased significantly (both p=0.001). The estimated range of % total body surface area (TBSA) for children increased from 8% (IQR: 5-12%) to 10% (IQR: 8-15%) in children (p<0.001) and from 8% (IQR: 4-18%) to 11% (IQR: 6-25%) in adults (p<0.001). In children, the number of burn cases transferred from other hospitals decreased (p=0.011). Among adults, the number of female patients with burns rose (p=0.013), and the number of patients with inhalation injury also rose (p=0.009).

During the COVID-19 pandemic, the number of inpatients with burns declined. Domestic burns became more common, and scald and flame burns as well as the average burn area (% TBSA) increased. These findings might highlight the significance of implementing specific public health strategies and safety measures to improve family safety both during and after the pandemic.

Personality traits and coping strategies significantly predict predisposition to psychopathology. This study aimed to examine the predictive role of coping strategies in psychological distress during the COVID-19 pandemic in a sample of Portuguese individuals, considering personality and sociodemographic variables. Data were collected using Google Forms from 2402 individuals (86.8% women; mean age ± SD = 36.80 ± 11.80) between March and June 2020, found primarily through Facebook. The evaluation instruments included the Brief Symptom Inventory (BSI), NEO Five-Factor Inventory, and Brief-COPE. Younger adults, females, single individuals, and those with lower education experienced higher distress. Neuroticism was strongly associated with all dimensions of psychological distress and the overall BSI. Maladaptive coping strategies (self-distraction, denial, self-blame, behavioral disengagement) were positively correlated with distress, whereas agreeableness and positive reframing were negatively correlated. Regression analysis showed that gender, age, education, and psychiatric diagnosis predicted 12% of distress; adding neuroticism increased prediction to 34% and coping strategies to 37%, with self-blame among coping strategies being the strongest predictor. Personality traits and coping strategies were significant predictors of psychological distress during the COVID-19 pandemic. These findings emphasize the need for interventions that target neuroticism and maladaptive coping strategies to improve mental health outcomes during public crises.

To investigate the association between hours of remote work (RWHs) and housework (HWHs), independently, as well as the combined total of work hours (WHs), with gender and mental health of remote workers during the COVID-19 pandemic. Cross-sectional study with data from the ELSA-Brasil (N = 2,318). On average, women reported more time spent on HWHs and WHs than men, while no difference was found in RWHs. Depression, anxiety and stress were more prevalent among women. Women with longer working hours (RWHs, HWHs and WHs) had higher odds of displaying anxiety or stress symptoms than men with shorter working hours. For symptoms of depression, the highest odds ratios were found only among those women with medium or long HWHs and long WHs. A gender perspective into studies of remote work effects has contributed to the recognition of health inequalities between men and women.

Drawing upon the Conservation of Resources Theory, this study seeks to examine the association between two dimensions of environmental stress experienced by physicians and patients' adherence to COVID-19 guidelines, within the context of a social network framework. A third-wave longitudinal study was employed to gather 439 valid data points in China. Social network analysis and structural equation model were used to test the conceptual model. The results reveal the pivotal role of physicians' environmental stress related to their work and family contexts in influencing patients' adherence to COVID-19 guidelines through the mediation of physicians' information sharing. The ego networks of physicians, encompassing both advice-seeking and friendship ties, were observed to negatively moderate the relationship between stress and resource depletion. Broadly, our study shows the importance of understanding physicians' stress caused by the working and family environments, as these factorsnot only impact the psychological well-being of physicians but also significantly affect patients' compliance with COVID-19 guidelines. In addition, the work offers a framework for understanding the impact of the ego advice-seeking network and the ego friend network.

Introduction: This systematic review and meta-analysis aimed to investigate adherence and retention rates to home-based video exercise programs and identify key factors associated with these rates in older adults to understand the effectiveness of home-based video exercise interventions. Methods: We searched PubMed, Web of Science, and Scopus for articles addressing adherence to and retention of home-based video exercise programs. The study was conducted following PRISMA recommendations. Results: A total of 26 articles, including 1,292 participants older than 65, were included in the final qualitative and quantitative syntheses. The weighted mean of the retention rate was 91.1, and of the attendance rate was 85.0, with low I2 = 3.5, not significant p = 0.409 heterogeneity. The generalized regression models showed a positive effect of session duration on the attendance rate (%), where the possible change from <20 min to >60 min duration could decrease the attendance rate (%) B = -24.390 (p <0.001). The delivery method had a significant effect, where the absence of live contact with the coach in web-based or DVD-delivered interventions could decrease the attendance rate (%) compared to the online sessions B = -11.482 (p = 0.010). The lockdown during the COVID-19 pandemic had a positive effect on both the attendance rate (%) B = 10.321 (p = 0.019) and retention rate (%) B = 9.577 (p = 0.032). Conclusions: This systematic review and meta-analysis indicate that supervised home-based video exercise programs lasting less than 60 min might be a suitable and sustainable exercise mode to keep older adults active, especially in times resembling feelings of confinement.

Exposure to air pollution can cause adverse health effects in people living with chronic lung disease. In people with asthma, it is not clear whether strategies to reduce outdoor air pollution can affect clinical symptoms and lung function.

To determine strategies to reduce air pollution exposure for people with asthma, and to describe the effect of reduced air pollution on asthma outcome.

A systematic review was conducted of six databases for English literature. Any study published between April 2012 and March 2022 that mentioned air pollution exposure reduction and asthma was reviewed. Two reviewers (STH and RMp) screened and extracted the data separately, using a standardised form based on the Cochrane data extraction tool. Risk of bias was assessed using the risk-of bias 2 tool. Outcome measures were the Asthma Control Test (ACT), the Childhood Asthma Control Test, exacerbations, and the forced expiratory volume in the 1st second (FEV1 ), forced vital capacity (FVC) and FEV1 /FVC ratio. The study was registered with PROSPERO (reg. no. CRD42022341648).

Of the 11 116 identified studies, eight met the inclusion criteria, with a total of 11 395 043 participants. Clean air policy implementation modestly improved lung function, as shown by an increase in FVC and FEV1 of 0.02 L/year and 0.01 L/year, respectively. Reduction of exposure to outdoor smoke pollution with use of mobile application alerts resulted in behavioural change and improved ACT scores over 8 weeks (mean (standard deviation (SD)) 21.5 (2.3) compared with baseline (20.0 (2.4); p<0.001). Asthma control improved during low levels of pollution related to COVID-19 lockdown, as shown by mean (SD) ACT scores (17.3 (4.7) v. 19.7 (4.5); p<0.001) and associated declines in mean daily hospital admissions (4.5 (3.4) days v. 2.8 (2.5) days; p<0.001).

Air pollution is a major hazard, and strategies to reduce exposure have a positive outcome in terms of the asthma morbidity. This field would benefit from further high-quality randomised clinical trial evidence to inform policy and decision-making.

What the study adds. The prevalence and burden of asthma are increasing globally. Air pollution exposure is a major cause of worse asthma symptoms. Strategies to reduce air pollution or exposure to it may contribute towards improved quality of life. This study highlights potential strategies and their effect on asthma outcome.Implications of the findings. A combination of individual activities and actions by governments to reduce air pollution can improve asthma outcome. A focus on education together with behavioural changes can reduce exposure at the individual level. Implementation of clean air policies reduces air pollution exposure and improves lung health.

The COVID-19 pandemic has left a profound mark on global health, leading to substantial morbidity and mortality worldwide. Beyond the immediate symptoms of infection, the emergence of "long COVID", the long-term effects of SARS-CoV-2, has become a significant public health concern. Long COVID is a multifaceted condition affecting various organs and systems, including the cardiovascular, digestive, nervous, and endocrine systems. Individuals diagnosed with polycystic ovary syndrome (PCOS) may face an increased risk of severe COVID-19 symptoms and infection. It is crucial to comprehend how long COVID affects PCOS patients to devise effective treatment and care strategies. Here, we review the detrimental effects of COVID-19 and its long-term effects on reproductive health, endocrine function, inflammation, metabolism, cardiovascular health, body composition, lifestyle, and mental health in patients with PCOS. We offer recommendations for the post-covid-19 management of PCOS, emphasizing the necessity of a comprehensive, multidisciplinary approach to patient care. Furthermore, we discuss prospective research directions, highlighting the significance of continued investigations and clinical trials to evaluate treatment approaches for long COVID and its ramifications in individuals with PCOS.

This study investigated the quality of sleep in a sample of individuals from Southern Italy after the major waves of the COVID-19 pandemic, with the aim of evaluating how sleep patterns changed.

A cross-sectional study was conducted between March 2022 and January 2023 and involved adults who had a COVID-19 infection, who were invited to complete a self-administered online questionnaire.

A total of 408 individuals participated in the survey. Overall, 66.4% had a reduction in social relations; 72.1% had an increase in the use of social media; and 86%, 77.2%, and 71.1% reported an extremely severe level of anxiety, stress, and depression, respectively. Almost all of the respondents had a Pittsburgh Sleep Quality Index score (PSQI) ≥5, indicating poor sleep quality. Subjects with a severe or extremely severe depression score, a severe or extremely severe stress score, who had a job, and who had someone close who died because of a COVID-19 infection were more likely to have a high PSQI global score. The use of sleep medication in the past months was significantly higher in those who were older, who had a job, who had a COVID-19 infection in the first and second waves, who had someone close who died from COVID-19, and who did not have changes in social relationships during the pandemic. Moreover, participants with severe or extremely severe depression scores, with severe or extremely severe stress scores, who were women, and who were older had troubles staying awake while engaging in social activities during the past month.

The results bring to light the high prevalence of poor sleep quality among individuals who were infected with SARS-CoV-2. Future research is needed to understand whether these disturbances are still present in the endemic period and whether it is necessary to investigate further determinants that have affected and/or are affecting sleep quality.

Parameter identification involves the estimation of undisclosed parameters within a system based on observed data and mathematical models. In this investigation, we employ DAISY to meticulously examine the structural identifiability of parameters of a within-host SARS-CoV-2 epidemic model, taking into account an array of observable datasets. Furthermore, Monte Carlo simulations are performed to offer a comprehensive practical analysis of model parameters. Lastly, sensitivity analysis is employed to ascertain that decreasing the replication rate of the SARS-CoV-2 virus and curbing the infectious period are the most efficacious measures in alleviating the dissemination of COVID-19 amongst hosts.

Modifiable lifestyle factors exert a substantial influence on the development of various diseases. The COVID-19 pandemic necessitated the implementation of containment measures to mitigate the viral spread, which affected the maintenance of healthy habits.

Changes in lifestyle factors (e.g. physical activity, nutrition, smoking, drinking alcohol) within a cohort of German women at increased risk of breast cancer (BC) or ovarian cancer (OC) were evaluated through an anonymous web-based survey. The self-reported assessment of mental health was conducted using the PHQ-4 questionnaire. This tool combines two items from the Patient Health Questionnaire for Depression (PHQ-2) and two queries from the Generalized Anxiety Disorder Scale (GAD-2). Potential predictors of lifestyle changes were determined via multiple logistic regression analysis. A heuristic model was employed to project potential long-term consequences on BC incidence.

During the pandemic, 41.6 % of respondents reported reduced engagement in physical activity (PA), whereas 14.3 % reported increased engagement in PA. A score ≥5 on the PHQ-2 scale emerged as an independent risk factor for reduced PA (OR 12.719; 95 % CI 1.089-148.549; p = 0.043). By the heuristic approach, we projected an increase of BC by 3384 cases in Germany by 2030, which is attributable to the alterations in PA patterns during the pandemic.

Impaired mental health during the pandemic constituted a risk factor for unfavorable changes in PA. Consequently, a surge in BC may arise due to decreased engagement in PA. Healthcare professionals must remain aware of the potential risk factors that facilitate adverse alterations in modifiable risk factors caused by pandemic-related contingency measures or similar future events.

Poor mood states pose the most frequent mental health, creating a considerable burden to global public health. Sedentary behavior is an essential factor affecting mood states, however, previous measures to reduce sedentary time in Chinese young adults have focused only on increasing physical activity (PA). Sedentary, PA, and sleep make up a person's day from the standpoint of time use. It is not known whether reallocating sedentary time to different types of PA (e.g. daily PA and structured PA) or sleep during an epidemic has an effect on mood states. Therefore, this study aimed to examine the association between replacing sedentary time with different types of PA or sleep during the pandemic and the mood states of Chinese young adults and to further examine whether this association varies across sleep populations and units of replacement time.

3,579 young adults aged 18 to 25 years living in China and self-isolating at home during the COVID-19 outbreak were invited to complete an online questionnaire between February from 23 to 29, 2020. Subjects' PA, sedentary time, and mood states were assessed using the International Physical Activity Questionnaire and the Chinese version of the Profile of Mood States, respectively. Participants also reported sleep duration and some sociodemographic characteristics. Participants were divided into short sleepers (< 7 h/d), normal sleepers (7-9 h/d), and long sleepers (> 9 h/d) based upon their reported sleep duration. Relevant data were analyzed using Pearson correlation analysis and isotemporal substitution model (ISM).

Sedentary time was negatively associated with mood states in Chinese young adults during the pandemic (r = 0.140) and correlated strongest among short sleepers (r = 0.203). Substitution of sedentary time with structured PA was associated with good mood states (β=-0.28, 95% CI: -0.49, -0.08). Additionally, substituting sedentary time with daily PA (e.g. occupational PA, household PA) was also associated with good mood states among normal sleepers (β=-0.24, 95% CI: -0.46, -0.02). The substitution of sedentary time with sleep could bring mood benefits (β=-0.35, 95% CI: -0.47, -0.23). This benefit was particularly prominent among short sleepers. Furthermore, for long sleepers, replacing sedentary time with sleep time also resulted in significant mood benefits (β=-0.41, 95% CI: -0.69, -0.12). The longer the duration of replacing sedentary behavior with different types of PA or sleep, the greater the mood benefits.

A reallocation of as little as 10 min/day of sedentary time to different types of PA or sleep is beneficial for the mood states of young adults. The longer the reallocation, the greater the benefit. Our results demonstrate a feasible and practical behavior alternative for improving mood states of Chinese young adults.

The world is aging and experiencing loneliness. Functional impairment in instrumental activities of daily living (IADL) in older people (OP) with mild neurocognitive disorder (MNCD) predicts loneliness. After the pandemic, there was an increase in perceived loneliness. We explored the association between loneliness, depression, deficits in IADL, and cognitive symptoms among OP. From February to December 2023, using a cross-sectional design, we interviewed probable cases with mild cognitive impairment and caregivers in two public facilities. We administered the UCLA Loneliness Scale v3, Lawton IADL Scale, Mini-Mental State Examination (MMSE), and Yesavage's Geriatric Depression Scale. Samples were matched: 85 per group, 82.4% were women, married (52.95%), and mean age of 69.17 (±6.93) years. In our study, 30% displayed moderate to high levels of perceived loneliness. Multivariate analysis showed loneliness was associated with depression, low levels of IADL, and older age, but not with cognitive symptoms, which explained 22% of the total variance (F 165) = 16.99, (p < 0.001). Targeting symptoms and behaviors that could be modified (i.e., depression and functionality) can improve feelings of perceived loneliness and have an impact on morbidity and mortality with which it is associated.

The COVID-19 pandemic has generated a global crisis with severe consequences for public health. There have been negative impacts on people's quality of life and mental health due to various stressors arising in this context, such as physical, social, economic, and psychological challenges. Noteworthy among these are the indirect effects of health measures, especially social distancing and confinement, which have significantly altered people's daily lives and social activities, producing high levels of anxiety, depression, and stress. This study proposes developing and validating a cross-sectional scale called the "Environmental Stressors Scale (ECSS-20)" to address the need to measure the impact of environmental stressors during confinement. The scale, which has been validated following ethical and methodological guidelines, consists of four dimensions: economic stressors (EE), social activities (SA), habitability (H), and exposure to virtual media (EMV). A pilot study (n = 113) and a main study (n = 314) were applied. The results showed that the instrument has a reliable and valid structure, with satisfactory internal consistency and factorial validity. Likewise, gender invariance tests supported its suitability for its applicability to women and men. Overall, the ECSS-20 is a valuable instrument for assessing the impact of confinement and improving the understanding of people's subjective experiences in this situation. Future research could further develop its applicability in different contexts and populations to better understand its usefulness and psychometric properties.

Coronavirus disease 2019 (COVID-19) and the resulting societal reaction presented new challenges to the medical community by limiting patient access to care in 2020 and 2021. The Navy Postgraduate Dental School (NPDS) oral and maxillofacial pathology biopsy service is dependent on in-office physician or dentist appointments and patient biopsies. The purpose of this study was to understand the regulatory and societal impacts of COVID-19 restrictions on biopsy service submissions by assessing NPDS biopsy submission quantities and disease distribution.

All NPDS oral and maxillofacial pathology biopsy submissions from calendar years 2015 to 2016 and 2019 to 2021 were evaluated, and patient demographics and biopsy diagnoses were recorded in a biopsy registry. Data collected included age, sex, biopsy site, and diagnosis. Data from 2015, 2016, and 2019 were defined as pre-COVID and 2020 and 2021 as COVID. Biopsy reports for each year were organized in quarters. Diagnoses were categorized as malignant, pre-malignant, or benign. Categorical and continuous data were evaluated and presented as counts with percentages and means or medians with standard deviations, respectively. Significant differences in proportions or means were assessed using chi-square analysis or Student t-test, respectively. Cases were aggregated by quarter and year and assessed for temporal trends using linear regression analysis.

The study evaluated 9,351 biopsy submission reports. The annual pre-COVID count mean (± standard deviation) and yearly counts for 2020 and 2021 were 2,063 ± 33.3, 1,421, and 1,742, respectively. The mean (± standard deviation) percentage of diagnoses classified as malignant from pre-COVID, 2020, and 2021 were 2.46 ± 0.005%, 3.59%, and 3.04%, respectively. Case counts and representation as a percentage of all biopsy diagnoses for Human Papillomavirus (HPV)-associated squamous cell carcinoma increased significantly during COVID compared to pre-COVID years (P < .05).

Overall, preventative COVID-19 health measures and protocols resulted in a reduction in biopsy submission frequency, particularly during the second quarter (April to June) of 2020. However, case counts for malignant biopsies remained consistent between pre-COVID and COVID time intervals, suggesting that the identification and analysis of cases requiring follow-on care were unaffected by COVID-19 protocols.

We aimed to analyze the frequency of adherence to social distancing and individual protection measures of adult and older populations in two cities in southern Brazil and to characterize the sociodemographic aspects of these individuals.

This cross-sectional, population-based study was conducted in the cities of Rio Grande, RS, and Criciúma, SC, Brazil. The outcome measure was the frequency of adherence to social distancing measures. Fisher's exact test (5% significance) was used to calculate the differences in prevalence according to exposure variables.

Among the 2,170 participants over the age of 18, the prevalence of adherence to social distancing was 18.5%. Adherence was significantly higher among women; older adults; single, divorced, or widowed people with a low educational level; people of lower socioeconomic status; and people affected by multiple chronic diseases.

Approximately one in five respondents adhered to measures of social distancing, and adherence was more prevalent among the risk groups.

This cross-sectional study, carried out between October and December 2020 in two Brazilian cities, aimed to evaluate the joint association of education and sex with habitual and episodic excessive alcohol consumption during the COVID-19 pandemic. Habitual alcohol consumption was defined as drinking any quantity of alcohol at least once per week. Excessive episodic alcohol consumption was defined as the consumption of five or more drinks by men or four or more drinks by women at least once in the last 30 days. Adjusted multivariate logistic regression models were used to analyze associations of education and sex with alcohol consumption. Education was not associated with habitual alcohol consumption and excessive episodic alcohol consumption. However, when evaluating the joint effect between education and sex, it can be seen that men with low education were more likely to habitually consume (OR: 5.85; CI95:2.74-14.84) and abuse alcohol (OR: 4.45; IC95:1.54-12.82) and women with high education were more likely to have habitual (OR: 2.16; IC95:1.18-3.95) and abusive alcohol consumption (OR: 2.00; IC95:1.16-3.43). These findings highlight the modifying effect of sex on the relationship between education and alcohol consumption, such that education influenced alcohol consumption differently between sexes during the pandemic.

Over the past decade, the global outbreaks of SARS, influenza A (H1N1), COVID-19, and other major infectious diseases have exposed the insufficient capacity for emergency disposal of medical waste in numerous countries and regions. Particularly during epidemics of major infectious diseases, medical waste exhibits new characteristics such as accelerated growth rate, heightened risk level, and more stringent disposal requirements. Consequently, there is an urgent need for advanced theoretical approaches that can perceive, predict, evaluate, and control risks associated with safe disposal throughout the entire process in a timely, accurate, efficient, and comprehensive manner. This article provides a systematic review of relevant research on collection, storage, transportation, and disposal of medical waste throughout its entirety to illustrate the current state of safe disposal practices. Building upon this foundation and leveraging emerging information technologies like Internet of Things (IoT), cloud computing, big data analytics, and artificial intelligence (AI), we deeply contemplate future research directions with an aim to minimize risks across all stages of medical waste disposal while offering valuable references and decision support to further advance safe disposal practices.

COVID-19 has become a global pandemic that has affected millions of people worldwide. The disease is caused by the novel coronavirus that was first reported in Wuhan, China, in December 2019. The virus is highly contagious and can spread from person to person through respiratory droplets when an infected person coughs, sneezes, talks, or breathes. The symptoms of COVID-19 include fever, cough, and shortness of breath, and in severe cases, it can lead to respiratory failure, pneumonia, and death. The Spanish flu, caused by the H1N1 influenza virus, and the COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 are two of the most significant global health crises in history. While these two pandemics occurred almost a century apart and are caused by different types of viruses, there are notable similarities in their impact, transmission, and public health responses. Here are some key similarities between the Spanish flu and SARS-CoV-2. The Spanish flu pandemic of 1918-1919 stands as one of the deadliest pandemics in human history, claiming the lives of an estimated 50 million people worldwide. Its impact reverberated across continents, leaving behind a legacy of devastation and lessons that, unfortunately, seem to have been forgotten or ignored over time. Despite the advancements in science, medicine, and public health in the intervening century, humanity found itself facing a strikingly similar situation with the outbreak of the COVID-19 pandemic. Additionally, amidst the search for effective measures to combat COVID-19, novel approaches such as iodine complexes, such as Iodine-V has emerged as potential interventions, reflecting the ongoing quest for innovative solutions to mitigate the impact of pandemics. This raises the poignant question: why did we not learn from the Spanish flu?

Public transportation plays a critical role in meeting transportation demands, particularly in densely populated areas. The COVID-19 pandemic has highlighted the importance of public health measures, including the need to prevent the spread of the virus through public transport. The spreading of the virus on a passenger ship is studied using the Computational Fluid Dynamic (CFD) model and Monte Carlo simulation. A particular focus was the context of Bangladesh, a populous maritime nation in South Asia, where a significant proportion of the population utilizes passenger ships to meet transportation demands. In this regard, a turbulence model is used, which simulates the airflow pattern and determines the contamination zone. Parameters under investigation are voyage duration, number of passengers on board, social distance, the effect of surgical masks, and others. This study shows that the transmission rate of SARS-CoV-2 infection on public transport, such as passenger ships, is not necessarily directly proportional to voyage duration or the number of passengers onboard. This model has the potential to be applied in various other modes of transportation, including public buses and airplanes. Implementing this model may help to monitor and address potential health risks effectively in the public transport networks.

Deep learning-based methods can promote and save critical time for the diagnosis of pneumonia from computed tomography (CT) images of the chest, where the methods usually rely on large amounts of labeled data to learn good visual representations. However, medical images are difficult to obtain and need to be labeled by professional radiologists.

To address this issue, a novel contrastive learning model with token projection, namely CoTP, is proposed for improving the diagnostic quality of few-shot chest CT images. Specifically, (1) we utilize solely unlabeled data for fitting CoTP, along with a small number of labeled samples for fine-tuning, (2) we present a new Omicron dataset and modify the data augmentation strategy, i.e., random Poisson noise perturbation for the CT interpretation task, and (3) token projection is utilized to further improve the quality of the global visual representations.

The ResNet50 pre-trained by CoTP attained accuracy (ACC) of 92.35%, sensitivity (SEN) of 92.96%, precision (PRE) of 91.54%, and the area under the receiver-operating characteristics curve (AUC) of 98.90% on the presented Omicron dataset. On the contrary, the ResNet50 without pre-training achieved ACC, SEN, PRE, and AUC of 77.61, 77.90, 76.69, and 85.66%, respectively.

Extensive experiments reveal that a model pre-trained by CoTP greatly outperforms that without pre-training. The CoTP can improve the efficacy of diagnosis and reduce the heavy workload of radiologists for screening of Omicron pneumonia.

In the COVID-19 context, traits associated with antisociality can decrease concern and awareness about the potential harmfulness of the virus. This study investigated associations of pathological traits of antisocial personality disorder (ASPD) with behaviours and beliefs linked to COVID-19 containment measures. The sample consisted of 2230 Brazilian adults who answered ASPD-related facets of the Personality Inventory for DSM-5 and a questionnaire regarding adherence to COVID-19 containment measures. We applied the DSM-5 ASPD criteria to divide the sample into antisocial and non-antisocial groups. Our findings suggest that individuals meeting the criteria for ASPD tend to exhibit reduced compliance with pandemic control measures and lower adherence to hygiene practices. Moreover, sex, income, and age should be considered potential covariates in research investigating the relationship between antisocial traits and adherence to COVID-19 preventive measures. Altogether, our findings highlight ASPD traits' role in the predisposition to lack of prosocial behaviours of adherence to COVID-19 containment measures.