Search

Background: The COVID-19 pandemic brought significant changes to daily life in Poland, with restrictions affecting various sectors, including entertainment, education, and travel. The pandemic's impact extended to intimate aspects of life. This study aimed to compare the sexual functioning of young adults in Poland before and during the pandemic, using the Changes in Sexual Functioning Questionnaire (CSFQ-14). Methods: The research involved an online survey with demographic questions, the CSFQ-14 for pre-pandemic sexual functioning, and modified CSFQ-14 questions for the pandemic period. Sexual dysfunction was determined using predefined cutoff scores. Results: Overall, the study found no significant difference in the sexual functioning of young Poles during the COVID-19 pandemic compared to before. However, there were gender-specific trends. Women reported enhanced pleasure, satisfaction, and orgasm during lockdown, while men faced challenges with erection and ejaculation. A higher proportion of women experienced overall sexual dysfunction compared to men, both before and during the pandemic. This research provides insights into the impact of the COVID-19 pandemic on the sexual lives of young Poles. While overall sexual functioning remained relatively stable, specific aspects varied by gender. Conclusions: The study emphasizes the need to consider demographic factors, such as age and gender, when assessing the effects of external stressors like a pandemic on sexual health. Further research is essential to fully grasp these complexities and their potential long-term consequences. [ABSTRACT FROM AUTHOR]

The COVID-19 outbreak was a serious challenge for countries around the globe. With the objective of mitigating the spread of the virus, both national and international health organizations swiftly enacted quarantine measures across numerous cities around the globe. This presented a unique chance to evaluate the consequences of human actions on the quality of the air. This study aimed to investigate airborne microbial levels in different outdoor locations in Al-Madinah City, Kingdom of Saudi Arabia (KSA), during the COVID-19 pandemic by comparing lockdown against non-lockdown conditions. Twelve outdoor locations were investigated in terms of microbial total counts using the open plate method during and after the COVID-19 lockdown. Environmental factors that could affect the airborne microbial load, including humidity, temperature and wind speed, were recorded during the assessment. The means of the total colony-forming units (CFU) for each cubic meter (m³) of air were calculated. Lockdown restrictions caused significant decreases in the biological contaminants in all locations compared with the numbers after the pandemic. Gram-positive bacteria represented most of the samples, with fewer fungal strains detected. The outdoor average total bacterial counts ranged between 0.00±0.00-8337.50±248.98 CFU/m³, compared with 2903.75±407.60-19722.50±475.03 CFU/m³ after the pandemic. The mean concentrations of total fungi were lower than those of bacteria and ranged between 0.00±0.00-143.75±131.75 CFU/m³ during the COVID-19 lockdown and were elevated after the lockdown to reach 28.75±49.80-776.25±298.78 CFU/m³. Based on the available data, there are no studies comparing outdoor microbial counts during and after the COVID-19 pandemic. Therefore, this research offers additional perspectives on the air quality experienced amidst the COVID-19 pandemic and the subsequent implementation of lockdown measures and could serve as a valuable resource for monitoring and implementing measures to control air pollution. [ABSTRACT FROM AUTHOR]

This research report investigated the impacts of the COVID-19 lockdown restrictions on CO, SO2, and NO2 trends in Durban from 2019 to 2021. The COVID-19 lockdown restrictions proved to decrease greenhouse gas (GHG) emissions globally; however, the decrease in GHG emissions was for a short period only. Space-borne technology has been used by researchers to understand the spatial and temporal trends of GHGs. This study used Sentinel-5P to map the spatial distribution of CO, SO2, and NO2. Use was also made of the Atmospheric Infrared Sounder (AIRS), Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), and the Ozone Monitoring Instrument (OMI) to understand the temporal trends of CO, SO2, and NO2, respectively. To validate the results of this study, we used the Sequential Mann–Kendall (SQMK) test. This study indicated that there were no significant changes in all the investigated gases. Therefore, this study failed to reject the null hypothesis of the SQMK test that there was no significant trend for all investigated gasses. Increasing trends were observed for CO, SO2, and NO2 trends during winter months throughout the study period, whereas a decreasing trend was observed in all investigated gases during the spring months. This shows that meteorological factors play a significant role in the accumulation of air pollutants in the atmosphere. Most importantly, this study has noted that there was an inverse relationship between the trends of all investigated gases and the COVID-19 lockdown restrictions. [ABSTRACT FROM AUTHOR]

ntroduction: Lockdown measures in response to the COVID-19 pandemic had an appreciable impact on the education of all medical, dental and non-medical healthcare professional students. These included the closure of universities necessitating a rapid move to e-learning and a new practical approach to conducting teaching-learning classes. However, initially, there was a lack of knowledge and expertise regarding e-learning approaches and the affordability of internet bundles and equipment. Materials and Methods: We conducted two pilot studies to assess such current challenges, replaced by a two-stage approach including a full investigation involving 32 private and public universities during the early stages of the pandemic, followed by a later study assessing the current environment brought about by the forced tops. Results: The top challenges at the start of the pandemic included a lack of familiarity with the e-learning approaches, the cost of the internet, a lack of IT equipment and the quality of the classes. To address identified challenges, universities offered support to staff and students. Since then, e-learning approaches have widened the possibilities for teaching and learning at convenient times. However, challenges remain. Conclusions: There were considerable challenges at the start of the pandemic. Several key issues have been addressed with hybrid learning here to stay. The remaining challenges include a lack of ICT equipment. However, new innovations will continue. [ABSTRACT FROM AUTHOR]

Several studies have linked the COVID-19 pandemic to unfavorable mental health outcomes. However, we know little about long-term changes in mental health due to the pandemic so far. Here, we used longitudinal data from a general population sample of 1388 adults from Germany, who were initially assessed between April and May 2020 (i.e., at the beginning of the COVID-19 pandemic in Germany) and prospectively followed up after 6 (n = 1082) and 12 months (n = 945). Depressive and anxiety symptoms as well as loneliness did not change from baseline to 6-month follow-up. While anxiety symptoms did not change in the long run, depressive symptoms and loneliness increased and life satisfaction decreased from baseline to 12-month follow-up. Moreover, vulnerable groups such as younger individuals or those with a history of mental disorders exhibited an overall higher level of psychopathological symptoms across all assessment waves. Our findings suggest a deterioration in mental health during the course of the COVID-19 pandemic, which emphasizes the importance to implement targeted health promotions to prevent a further symptom escalation especially in vulnerable groups. [ABSTRACT FROM AUTHOR]

In order to explore the effects of COVID-19 control measures on the concentration and composition of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs), and to better understand the sources of PM2.5-bound PAHs, PM2.5, samples were collected at two sites in urban and suburban areas of Shanghai before the lockdown, during the lockdown, after the lockdown in 2020, and during the same periods in 2019. The mass concentrations of 21 individual PAHs were determined via GC-MS analysis. While the COVID-19 control measures significantly reduced the absolute concentration of PM2.5-bound PAHs, they had no significant effect on their relative abundances, indicating that the significantly reduced traffic emission may not originally be the major source of PAHs in Shanghai. The differences in the composition of PM2.5-bound PAHs at three different lockdown-related periods may be caused by the gas-particle distribution of semi-volatile PAHs. The similarity in the composition of PM2.5-bound PAHs in different functional areas and different periods brings more uncertainties to the identification of PAH sources using the diagnostic ratios. During the lockdown period, the toxic equivalent concentration of PM2.5-bound PAHs in Shanghai was estimated to decrease by about 1/4, which still exhibits substantial carcinogenic risk upon exposure via inhalation. [ABSTRACT FROM AUTHOR]

Several measures, including behavioral restrictions for individuals, have been taken throughout the world to control the spread of COVID-19. The aim of these measures is to prevent infected persons from coming into contact with susceptible persons. Since the behavioral restrictions for all citizens, such as city-wide lockdowns, were directly linked to the stagnation of economic activities, the assessment of such measures is crucial. In order to evaluate the effects of behavioral restrictions, we employed the broken-link model to compare the situation of COVID-19 in Shanghai, where a lockdown was implemented from March to June 2022, with the situation in Taiwan, where the spread of COVID-19 has been well controlled so far. The results show that the small link-connection probability was achieved by the substantial isolation of infected persons, including the lockdown measures. Although the strict measures for behavioral restrictions were effective to reduce the total number infected people, the daily reported cases per one million people followed the curve evaluated by the broken-link model. This result considers that infections are unavoidable for the population. [ABSTRACT FROM AUTHOR]

Estimating the impacts on PM2.5 pollution and CO2 emissions by human activities in different urban regions is important for developing efficient policies. In early 2020, China implemented a lockdown policy to contain the spread of COVID-19, resulting in a significant reduction of human activities. This event presents a convenient opportunity to study the impact of human activities in the transportation and industrial sectors on air pollution. Here, we investigate the variations in air quality attributed to the COVID-19 lockdown policy in the megacities of China by combining in-situ environmental and meteorological datasets, the Suomi-NPP/VIIRS and the CO2 emissions from the Carbon Monitor project. Our study shows that PM2.5 concentrations in the spring of 2020 decreased by 41.87% in the Yangtze River Delta (YRD) and 43.30% in the Pearl River Delta (PRD), respectively, owing to the significant shutdown of traffic and manufacturing industries. However, PM2.5 concentrations in the Beijing-Tianjin-Hebei (BTH) region only decreased by 2.01% because the energy and steel industries were not fully paused. In addition, unfavorable weather conditions contributed to further increases in the PM2.5 concentration. Furthermore, CO2 concentrations were not significantly affected in China during the short-term emission reduction, despite a 19.52% reduction in CO2 emissions compared to the same period in 2019. Our results suggest that concerted efforts from different emission sectors and effective long-term emission reduction strategies are necessary to control air pollution and CO2 emissions. [ABSTRACT FROM AUTHOR]

Spain was one of the countries in which more severe lockdown policies were imposed during the second term of 2020 to mitigate the unprecedented health crisis. The measures restricted citizens' mobility, obliging families to stay confined at homes for 99 days since 15 March 2020. The measures created a number of challenges that affect the family climate. This paper aims to empirically analyse how the family climate in Spain has been affected by COVID-19. The family climate assessment was based on an online questionnaire answered by 2034 citizens. A multi-criteria decision-making method rooted in fuzzy logic and TOPSIS, and a fuzzy clustering method, are applied to analyse the effects of the COVID-19 on the family climate. The fuzzy clustering method reveals that there are three different family climate profiles, namely (1) extreme positive, (2) extreme negative, and (3) intermediate. Our results show that some traits affect having a more or less positive family climate. The authors discuss the main contributions and the policy implications that could provide insights into future measures. [ABSTRACT FROM AUTHOR]

Context: Coronavirus disease 2019 (COVID‑19) has shown the potential to affect the life of people all over the world either directly or indirectly. Aim: To assess the impact of lockdown measures on treatment of leprosy among patients who received treatment from a tertiary referral centre. Settings and Design: A retrospective study was conducted at the dermatology department of a tertiary referral centre. Materials and Methods: We did a retrospective analysis of case records of patients with leprosy who received treatment from our tertiary referral centre from 01 March 2020 to 31 May 2021. Results: During the 15‑month period, 59 patients received multi‑drug therapy (MDT) for leprosy from our centre. Thirty‑two patients (54.2%) were already receiving MDT as on March 2020, and 27 others (45.8%) were diagnosed with leprosy and started on MDT during the period from March 2020 to May 2021. Two patients (3.4%) developed COVID‑19 while on MDT. When lockdown measures were implemented, 12 patients (12/59, 20.3%) discontinued treatment, citing conveyance difficulties. Three patients (3/59, 5.1%) were lost to follow‑up. Limitations: Small sample size and reliance on retrospective data from a single centre were the major limitations of the study. Conclusion: A conscious effort is needed from healthcare professionals and the government to ensure that implementation of national programmes is not adversely affected by the ongoing COVID‑19 pandemic. [ABSTRACT FROM AUTHOR]

To verify the effects of Wuhan highway lockdown measures on the spread of COVID-19 across China cities, we extracted the vehicle outflow from Wuhan to 245 cities from the Chinese highway toll system. A dynamic exponential risk model that considered the vehicle outflow, city gross domestic product, city population, and distance between two cities was established to characterize the spread of pandemics and quantify the blocking effects. Results showed that an early highway lockdown measure could indeed reduce the confirmed cases and vehicles with 1–9 seats played a leading role. The confirmed cases in Guangxi, Henan, and Shanxi could be reduced by more than 50%, as well as Hubei by 20% if the highway was closed 3 days in advance. The blocking effects on Fujian, Jiangxi, Guangdong, Hunan, and Shandong were not obvious, where the number of confirmed cases only decreased by a small proportion (below 10%). The findings could be used to help each provincial government to adjust policies properly and improve the effectiveness of epidemic control and prevention. Moreover, the proposed method could also be applied to various countries or regions affected by COVID-19, as well as other similar pandemics. • Using highway toll system data to study the epidemic spread. • Observing impacts of Wuhan highway lockdown measures and different vehicle types on the epidemic spread in China. • Exploring key factors of epidemic spread in different provinces and regions of China. • Proposing policy recommendations for the prevention of epidemic spread. [ABSTRACT FROM AUTHOR]

Background The present study aims to delineate the role of preexisting depression for changes in common mental health problems during the COVID-19 pandemic. Methods Using mixed-effects linear regression models, we analyzed data on the course of depressive (Patient Health Questionnaire-2) and anxiety (Generalized Anxiety Disorder-2) symptoms as well as loneliness (three-item UCLA Loneliness Scale) in a subset of the Socio-Economic Panel Study, a large and nationally representative household panel study from Germany. Participants were assessed during the first COVID-19 wave in Germany (March 31 to July 4, 2020; n = 6,694) and prospectively followed up at the peak of the second COVID-19 wave (January 18 to February 15, 2021; n = 6,038). Results Overall, anxiety and depressive symptoms decreased, whereas loneliness increased from the first to the second COVID-19 wave. However, depressive symptoms increased and the surge in loneliness was steeper in those with versus without clinically relevant depressive symptoms in 2019 or a history of a depressive disorder before the COVID-19 pandemic. Anxiety symptoms remained stable throughout the pandemic in individuals with versus without clinically relevant depressive symptoms in 2019. Pre-pandemic depression was associated with overall higher depressive and anxiety symptoms and loneliness across both assessments. The stringency of lockdown measures did not affect the results. Conclusions Our findings suggest that individuals with a history of depressive symptoms before the COVID-19 pandemic are at increased risk to experience an escalation of mental health problems due to the COVID-19 pandemic. Therefore, they might particularly profit from targeted prevention and early intervention programs. [ABSTRACT FROM AUTHOR]

The unprecedented COVID-19 pandemic has had major impact on human health worldwide. Whilst national and international COVID-19 lockdown and travel restriction measures have had widespread negative impact on economies and mental health, they may have beneficial effect on the environment, reducing air and water pollution. Mass bathing events (MBE) also known as Kumbh Mela are known to cause perturbations of the ecosystem affecting resilient bacterial populations within water of rivers in India. Lockdowns and travel restrictions provide a unique opportunity to evaluate the impact of minimum anthropogenic activity on the river water ecosystem and changes in bacterial populations including antibiotic-resistant strains. We performed a spatiotemporal meta-analysis of bacterial communities of the Godavari River, India. Targeted metagenomics revealed a 0.87-fold increase in the bacterial diversity during the restricted activity of lockdown. A significant increase in the resilient phyla, viz. Proteobacteria (70.6%), Bacteroidetes (22.5%), Verrucomicrobia (1.8%), Actinobacteria (1.2%) and Cyanobacteria (1.1%), was observed. There was minimal incorporation of allochthonous bacterial communities of human origin. Functional profiling using imputed metagenomics showed reduction in infection and drug resistance genes by − 0.71-fold and − 0.64-fold, respectively. These observations may collectively indicate the positive implications of COVID-19 lockdown measures which restrict MBE, allowing restoration of the river ecosystem and minimise the associated public health risk. [ABSTRACT FROM AUTHOR]

Many governments react to the current coronavirus/COVID‐19 pandemic by restricting daily (work) life. On the basis of theories from occupational health, we propose that the duration of the pandemic, its demands (e.g., having to work from home, closing of childcare facilities, job insecurity, work‐privacy conflicts, privacy‐work conflicts) and personal‐ and job‐related resources (co‐worker social support, job autonomy, partner support and corona self‐efficacy) interact in their effect on employee exhaustion. We test the hypotheses with a three‐wave sample of German employees during the pandemic from April to June 2020 (Nw1 = 2900, Nw12 = 1237, Nw123 = 789). Our findings show a curvilinear effect of pandemic duration on working women's exhaustion. The data also show that the introduction and the easing of lockdown measures affect exhaustion, and that women with children who work from home while childcare is unavailable are especially exhausted. Job autonomy and partner support mitigated some of these effects. In sum, women's psychological health was more strongly affected by the pandemic than men's. We discuss implications for occupational health theories and that interventions targeted at mitigating the psychological consequences of the COVID‐19 pandemic should target women specifically. [ABSTRACT FROM AUTHOR]

We evaluate the impacts of implementing and lifting nonpharmaceutical interventions (NPIs) in US counties on the daily growth rate of COVID-19 cases and compliance, measured through the percentage of devices staying home, and evaluate whether introducing and lifting NPIs protecting selective populations is an effective strategy. We use difference-in-differences methods, leveraging on daily county-level data and exploit the staggered introduction and lifting of policies across counties over time. We also assess heterogenous impacts due to counties' population characteristics, namely ethnicity and household income. Results show that introducing NPIs led to a reduction in cases through the percentage of devices staying home. When counties lifted NPIs, they benefited from reduced mobility outside of the home during the lockdown, but only for a short period. In the long term, counties experienced diminished health and mobility gains accrued from previously implemented policies. Notably, we find heterogenous impacts due to population characteristics implying that measures can mitigate the disproportionate burden of COVID-19 on marginalized populations and find that selectively targeting populations may not be effective. [ABSTRACT FROM AUTHOR]

Amid the COVID-19 pandemic, a nationwide lockdown was imposed in the United Kingdom (UK) on March 23, 2020. These sudden control measures led to radical changes in human activities in the Greater London Area (GLA). During this lockdown, transportation use was significantly reduced and non-key workers were required to work from home. This study aims to understand how population exposure to PM 2.5 and NO 2 changed spatially and temporally across London, in different microenvironments, following the lockdown period relative to the previous three-year average in the same calendar period. Our research shows that population exposure to NO 2 declined significantly (52.3% ± 6.1%), while population exposure to PM 2.5 showed a smaller relative reduction (15.7% ± 4.1%). Changes in population activity had the strongest relative influence on exposure levels during morning rush hours, when prior to the lockdown a large percentage of people would normally commute or be at the workplace. In particular, a very high exposure decrease was observed for both pollutants (approximately 66% for NO 2 and 19% for PM 2.5) at 08:00am, consistent with the radical changes in population commuting. The infiltration of outdoor air pollution into housing modifies the degree of exposure change both temporally and spatially. Moreover, this study shows that the impacts on air pollution exposure vary across groups with different socioeconomic status (SES), with a disproportionate positive effect on the areas of the city home to more economically deprived communities. • Spatio-temporal change in PM 2.5 and NO 2 exposure during the lockdown is quantified. • The average exposure reduction was 66% for NO 2 and 19% for PM 2.5. • The exposure during morning rush hour is considerably reduced for both pollutants. • Association between the SES and exposure reduction is presented. • The impact on the most and the least deprived areas is demonstrated. [ABSTRACT FROM AUTHOR]

During March and April 2020, the European Union (EU) was the center of the COVID-19 pandemic. Many national governments imposed severe lockdown policies to mitigate the health crisis, but the citizens' support to these policies was unknown. The aim of this paper was to analyze empirically how citizens in the EU have reacted towards the measures taken by the national governments. To this end, a microeconometric model (ordered probit) that explains the citizens' satisfaction by a number of attitudes and sociodemographic factors was estimated using a wide database formed by 21,804 European citizens in 21 EU countries who responded a survey between 23 April and 1 May 2020. Our results revealed that Spaniards were the least satisfied citizens in comparison with Danes, Irelanders, Greeks, and Croats, who were the most satisfied nationals. The years of education and the social class also played a determinant role. We also found that the most important determinant was the political support to the government, and that those who were more worried by the economy and the protection of individual rights were usually more critical of the measures than those who were more worried by the health consequences. [ABSTRACT FROM AUTHOR]

During the months of March and April 2020 we witnessed the largest-scale experiment in history in terms of air quality in cities. Any prediction of this experiment's results may be obvious to science, as it was totally expected, the air quality has improved substantially. Simply stated, it comes as no surprise. The lockdown has made it possible to quantify the limit of decrease in pollution in light of this drastic reduction in traffic, in Madrid and Barcelona showed a significant decrease of the order of 75%. In the case of Spain's two largest cities, the reductions of NO 2 concentrations were 62% and 50%, respectively. Hourly measurements were obtained from 24 and 9 air quality stations from the monitoring networks during the month of March 2020. These results allow us to see the limits that can be achieved by implementing low emission zones (LEZ), as well as the amount of contamination that must be eliminated, which in the cases of Madrid and Barcelona, represent 55%. This value defines the levels of effort and scope of actions to be taken in order to ensure that both cities achieve a clean and healthy atmosphere in terms of NO 2. Unlabelled Image • The reduction in NO 2 concentrations in Barcelona and Madrid (Spain), under COVID-19 lockdown during March 2020 were 50% and 62%, respectively • New urban mobility policies, must be adopted to accelerate implementation of truly ambitious low emission areas (LEZ). • The COVID-19 pandemic defines the need to apply an environmental and sustainable policy based on the reduction of air pollution levels. [ABSTRACT FROM AUTHOR]