The COVID-19 pandemic led to unprecedented changes in behaviour. To estimate if these persisted, a final round of the CoMix social contact survey was conducted in four countries at a time when all societal restrictions had been lifted for several months. We conducted a survey on a nationally representative sample in the UK, Netherlands (NL), Belgium (BE), and Switzerland (CH). Participants were asked about their contacts and behaviours on the previous day. We calculated contact matrices and compared the contact levels to a pre-pandemic baseline to estimate R0. Data collection occurred from 17 November to 7 December 2022. 7477 participants were recruited. Some were asked to undertake the survey on behalf of their children. Only 14.4 % of all participants reported wearing a facemask on the previous day. Self-reported vaccination rates in adults were similar for each country at around 86 %. Trimmed mean recorded contacts were highest in NL with 9.9 (95 % confidence interval [CI] 9.0-10.8) contacts per person per day and lowest in CH at 6.0 (95 % CI 5.4-6.6). Contacts at work were lowest in the UK (1.4 contacts per person per day) and highest in NL at 2.8 contacts per person per day. Other contacts were also lower in the UK at 1.6 per person per day (95 % CI 1.4-1.9) and highest in NL at 3.4 recorded per person per day (95 % CI 43.0-4.0). The next-generation approach suggests that R0 for a close-contact disease would be roughly half pre-pandemic levels in the UK, 80 % in NL and intermediate in the other two countries. The pandemic appears to have resulted in lasting changes in contact patterns expected to have an impact on the epidemiology of many different pathogens. Further post-pandemic surveys are necessary to confirm this finding.

BACKGROUND: Community-acquired pneumonia (CAP) is a major global cause of death and hospitalization. Bacteria or community-acquired viruses (CARVs) cause CAP. COVID-19 associated restrictions effectively reduced the circulation of CARVs.
OBJECTIVE: The aim of this study was to analyze the proportion of CARVs in adult patients with CAP from mid-2020 to mid-2023. Specifically, we aimed to compare the rate of influenza virus, SARS-CoV-2, and RSV detections in patients aged 18-59 years and ≥60 years.
METHODS: We analyze the proportion of 21 community-acquired respiratory viruses (CARVs) and three atypical bacteria (Bordetella pertussis, Legionella pneumophila, and Mycoplasma pneumoniae) in nasopharyngeal swab samples using molecular multiplex methods within the prospective, multicentre, multinational study of the German study Group CAPNETZ. We used stringent inclusion criteria throughout the study.
RESULTS: We identified CARVs in 364/1,388 (26.2 %) patients. In detail, we detected SARS-CoV-2 in 210/1,388 (15.1 %), rhino-/enterovirus in 64/1,388 (4.6 %), influenza virus in 23/1,388 (1.6 %) and RSV in 17/1,388 (1.2 %) of all patients. We detected RSV and influenza more frequently in patients ≥60 years, especially in 22/23 compared to the previous season. None of the atypical bacteria were detected.
CONCLUSIONS: Beginning in 2023, we demonstrate a re-emergence of CARVs in CAP patients. Effective vaccines or specific antiviral therapies for more than two thirds of the detected viral infections are currently available. High detection rates of vaccine-preventable viruses in older age groups support targeted vaccination campaigns.

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The COVID-19 pandemic had a significant impact on travel mode choices in cities across the world. Driven by perceptions of risk and the fear of infection, the pandemic resulted in an increased preference for private vehicles and active modes and a reduced preference for public transit and ride-sourcing. As travel behavior and modal preferences evolve, a key question is whether the pandemic will result in long-term changes to travel mode choices. This study uses data from a web-based survey to examine the factors influencing mode choices for non-commuting trips in the post-pandemic era. Specifically, it uses stated preference data to develop a random parameter mixed logit model, which is used to compare the elasticity of key variables across different income and age groups. The results of the study highlight the influence of sociodemographic attributes and pre-pandemic travel habits on anticipated post-pandemic mode choices. Additionally, the results suggest that frequent users of private vehicles, public transit, and active modes are likely to continue to use these modes post-pandemic. Furthermore, the results highlight the potential for the perception of shared modes to influence post-pandemic mode choice decisions. The results of the study offer insights into policy measures that could be applied to address the increased use of private vehicles and reduced use of transit during the pandemic, while also emphasizing the need to ensure that certain segments of the population can maintain a sufficient level of mobility and access to transport.

BACKGROUND: The COVID-19 pandemic has significantly increased the risk of burnout among frontline nurses. However, the prevalence of burnout and its associated factors in the post-pandemic era remain unclear. This research aims to investigate burnout prevalence among frontline nurses in the post-pandemic period and pinpoint associated determinants in China.
METHODS: From April to July 2023, a cross-sectional study was carried out across multiple centers, focusing on frontline nurses who had been actively involved in the COVID-19 pandemic. The data collection was done via an online platform. The Maslach Burnout Inventory-Human Services Survey was utilized to evaluate symptoms of burnout. A multivariable logistic regression analysis was used to pinpoint factors associated with burnout.
RESULTS: Of the 2210 frontline nurses who participated, 75.38% scored over the cut-off for burnout. Multivariable logistic regression revealed that factors like being female [odds ratio (OR) = 0.41, 95%CI = 0.29-0.58] and exercising 1-2 times weekly[OR = 0.53, 95%CI = 0.42-0.67] were protective factors against burnout. Conversely, having 10 or more night shifts per month[OR = 1.99, 95%CI = 1.39-2.84], holding a master\'s degree or higher[OR = 2.86, 95% CI = 1.59-5.15], poor health status[OR = 2.43, 95% CI = 1.93-3.08] and [OR = 2.82, 95%CI = 1.80-4.43], under virus infection[OR = 7.12, 95%CI = 2.10-24.17], and elevated work-related stress[OR = 1.53, 95% CI = 1.17-2.00] were all associated with an elevated risk of burnout.
CONCLUSIONS: Our findings indicate that post-pandemic burnout among frontline nurses is influenced by several factors, including gender, monthly night shift frequency, academic qualifications, weekly exercise frequency, health condition, and viral infection history. These insights can inform interventions aimed at safeguarding the mental well-being of frontline nurses in the post-pandemic period.

Numerous studies have demonstrated that short-term exposure to particulate matter less than 10 μm (PM10) is positively associated with the COVID-19 incidence. However, no study has investigated the spatiotemporal pattern in this association, which plays important roles in identifying high-susceptibility regions and stages of epidemic. In this work, taking the 49 native states in America as an example, we used an advanced strategy to investigate this issue. First, time-series generalized additive model (GAM) were independently constructed to obtain the state-specific associations between short-term exposure to PM10 and the daily COVID-19 cases from 1 April 2020 to 31 December 2021. Then, a Leroux-prior-based conditional autoregression (LCAR) was used to spatially smoothen the associations. Third, the temporal variation of association and the reasons underlying the spatiotemporal heterogeneity were investigated by incorporating the time-varying GAM into LCAR. Results showed that PM10 was adversely associated with COVID-19 incidence in all the states. On average, a 10 μg/m3 increase of PM10 was associated with a 7.38% (95% CI 5.20-9.64%) increase in COVID-19 cases. A substantial spatial heterogeneity was observed, with strong associations in the middle and northeastern regions and weak associations in the western regions. The temporal trend of association presented a U shape, with the strongest association in the end of 2021. The vaccination rate was examined as a significant effect modifier. Our study provided the first evidence about the spatiotemporal pattern in PM10-COVID-19 associations and suggested that air pollution deserves more attention in the post-pandemic era and in the middle and northeastern regions in America for COVID-19 control and prevention.

Background The coronavirus disease 2019 (COVID-19) pandemic provoked disruptions in healthcare delivery, leading to the cancellation and postponement of various health services, including surgery. Numerous countries closed their borders and established laws mandating the use of face masks and social distancing and enforced lockdowns, and various activities were constrained. Brazil, the largest and most populous country in Latin America, also experienced a rapid and sustained surge in infections and deaths. Brazil was the most severely impacted nation in Latin America. The impact of the pandemic on surgical services in Brazil has not been adequately studied since most studies only cover the early phases of the pandemic. Thus, this study aimed to assess the impact of the COVID-19 pandemic on surgical services throughout the entire period. Methods A retrospective cross-sectional design was used to examine surgical cases from 2019 to 2022 and compared the following indicators: (1) number of hospital admissions, (2) length of hospital stay (LOS) (in days), and (3) volume of urgent and elective procedures. Data was divided into four time periods, pre-pandemic (March-December 2019), pandemic (March-December 2020), recovery (March-December 2021), and post-pandemic (March-December 2022), and was analyzed for the number of admissions and LOS based on surgical procedures performed by stratifying according to region, sex, age, and type of surgery (urgent versus elective). Results The number of admissions for surgical procedures ranged between 859,646 and 4,015,624 for 2019, 686,616 and 3,419,234 for 2020, 787,791 and 3,829,019 for 2021, and 760,512 and 3,857,817 for 2022 for the category of region; 4,260,900 and 5,991,775 for 2019, 3,594,117 and 4,984,710 for 2020, 4,182,640 and 5,590,808 for 2021, and 4,077,651 and 5,561,928 for 2022 for the category of sex; and 2,170,288 and 3,186,117 for 2019, 1,516,830 and 2,825,189 for 2020, 1,748,202 and 3,030,272 for 2021, and 1,900,023 and 2,859,179 for 2022 for the category of age. The variable age showed a comparable trend, albeit with an expressive decline for surgeries in the age range of 0-19 years. The LOS (in days) for surgical procedures ranged between 110,157 and 910,846 for 2019, 58,562 and 897,734 for 2020, 67,926 and 904,137 for 2021, and 100,467 and 823,545 for 2022. Thoracic surgery indicated no statistically significant difference in the number of admissions and LOS. Elective surgeries had a decline in the number of admissions and LOS, a 13% and 9.3% decline between 2019 and 2020, respectively. Urgent surgeries experienced a slight decrease in admissions and LOS, with a decline of 2.4% and 2.8% between 2019 and 2020, respectively. Conclusions Population characteristics, such as age, sex, and region, showed decreased hospital admissions during the pandemic, followed by a recovery toward pre-pandemic levels afterward. The number of surgical admissions and the length of hospital stays decreased during the pandemic but gradually returned to pre-pandemic levels in the recovery and post-pandemic phases. Notably, thoracic surgery remained statistically consistent across all periods, indicating its emergency nature compared to other surgeries. Thus, we conclude that the pandemic had minimal impact on thoracic surgery cases, contributing to a stable trend.

Depression, anxiety and stress are multifactorial affective disorders that could manifest through a set of symptoms, both physical and psychological, that affect the quality of life and performance of people who suffer from them. In this sense, the present research had the objective of evaluating depression, anxiety and stress in students of the Faculty of Engineering of a Peruvian public university when returning to face-to-face classes. The research was developed under a quantitative approach and is of a non-experimental design of the descriptive cross-sectional type. The sample consisted of 244 students who responded to the Depression, Anxiety and Stress Scale, an instrument with adequate psychometric properties. According to the results, the students presented low levels of depression and anxiety. However, they showed moderate levels of stress. On the other hand, it was found out that the three variables were directly and significantly related. In the same way, it was found that there were statistically significant differences regarding the levels of depression, anxiety and stress related to gender, age group, family responsibilities and professional career. Finally, it was concluded that there were symptoms of depression, anxiety and stress in students of the Faculty of Engineering of a Peruvian public university when returning to face-to-face classes.

The COVID-19 virus has unimaginably disrupted the transit system and its overall functions. Users\' vigilant safety concerns posed by the pandemic and the consequent transit avoidance behaviour for a prolonged period could have lasting impacts on their transit preferences, leaving transit agencies to search for effective post-pandemic transit resilience policies. This study examines potential post-pandemic interventions and pandemic-induced psychological attributes impacting the future transit choice behaviour of non-transit users of the pandemic. It utilised data from a transit demand and choice adaptation survey in the Greater Toronto Area, Canada. A two-stage model was formulated to jointly capture the pre-pandemic transit usage choices of those who did not make transit trips during the pandemic and the respective post-pandemic transit choices for these user groups. The models depicted that the post-pandemic transit choices were inversely affected by one\'s pandemic concerns. In contrast, the choices were positively influenced by respondents\' views on post-pandemic transit usage and keeping the adopted safety policies in place. Regarding the conventional level of service attributes, paid park and ride facilities enhanced the probability of post-pandemic transit choice almost by 15% for occasional users. In comparison, the changes due to reliable service ranged from 10 to 11% for pre-pandemic users. Analogous propensity was seen for fare schemes offering free transfers between cross borders and 25% or more off-peak discounts on base fares. Moreover, more direct transit routes and increased parking costs by vehicular modes post the pandemic encourage travellers to retake transit.

The formation of urban districts and the appeal of densely populated areas reflect a spatial equilibrium in which workers migrate to locations with greater urban vitality but diminished environmental qualities. However, the pandemic and associated health concerns have accelerated remote and hybrid work modes, altered people\'s sense of place and appreciation of urban density, and transformed perceptions of desirable places to live and work. This study presents a systematic method for evaluating the trade-offs between perceived urban environmental qualities and urban amenities by analysing post-pandemic urban residence preferences. By evaluating neighbourhood Street View Imagery (SVI) and urban amenity data, such as park sizes, the study collects subjective opinions from surveys on two working conditions (work-from-office or from-home). On this basis, several Machine Learning (ML) models were trained to predict the preference scores for both work modes. In light of the complexity of work-from-home preferences, the results demonstrate that the method predicts work-from-office scores with greater precision. In the post-pandemic era, the research aims to shed light on the development of a valuable instrument for driving and evaluating urban design strategies based on the potential self-organisation of work-life patterns and social profiles in designated neighbourhoods.