Supplier change, market competition and enterprise innovation

PurposeThe purpose of this paper is to study enterprise innovation in the perspective of external supplier relationship. On this purpose, this paper examines the impact of supplier change on enterprise innovation with the moderating role of market competition.Design/methodology/approachUsing 2012–2020 empirical data of Chinese listed manufacturing enterprises, this paper investigates the relationship among supplier change, market competition and enterprise innovation through a two-way interaction model.FindingsThe results show that supplier change has a negative impact on enterprise innovation. And market competition intensifies the negative relationship between supplier change and enterprise innovation. Additional analyses indicate that the main effect and the moderating effect are more significant when the enterprise is non-state-owned or has lower ownership concentration.Originality/valueThis paper studies enterprise innovation from the perspective of external stakeholders. It focuses on supplier relationship in a dynamic variation view, instead of the traditional static ones. Moreover, this paper explores the contingency effect of market competition and gives practical implications for managers to adjust innovation strategy flexibly.

Prevalence of multidrug-resistant Gram-negative bacteria from blood cultures and rapid detection of beta-lactamase-encoding genes by multiplex PCR assay

Introduction This study aimed to determine the prevalence of multidrug-resistant Gram-negative bacteria (GNB) from blood cultures in a tertiary-care hospital and the multiplex PCR assay's ability to detect resistance genes. Methods A total of 388 GNB isolates obtained from hospitalized patients between November 2019 and November 2021 were included in the study. Antimicrobial susceptibility testing was done by VITEK 2 system and broth microdilution method. Beta-lactamase-encoding genes were detected by multiplex PCR assays, BioFire-Blood Culture Identification 2 (BCID2) panel (bioMerieux, France). Extended-spectrum beta-lactamases (ESBLs) were detected phenotypically with VITEK AST-GN71 card (bioMerieux, France). The isolates of GNB were classified into multidrug-resistant, extensively-drug-resistant, and pandrug-resistant categories, and their prevalence and distribution in different wards, including coronavirus diseases 2019 (COVID-19) intensive care units (ICU), were calculated. Results Results revealed that all isolates of Acinetobacter baumannii and Pseudomonas aeruginosa were multidrug-resistant as well as 91.6% of Enterobacter cloacae, 80.6% of Proteus mirabilis, and 76.1% of Klebsiella pneumoniae, respectively. In fermentative bacteria, blaOXA-48-like (58.1%), blaNDM (16.1%), blaKPC (9.7%) and blaVIM (6.5%) genes were detected. More than half of Enterobacter cloacae (58.3%) and Klebsiella pneumoniae (53.7%) produced ESBLs. Among non-fermenters, the blaNDM gene was carried by 55% of Pseudomonas aeruginosa and 19.5% of Acinetobacter baumannii. In the COVID-19 ICU, Acinetobacter baumannii was the most common isolate (86.1%). Conclusions This study revealed high proportions of multidrug-resistant blood isolates and various underlying resistance genes in Gram-negative strains. The BCID2 panel seems to be helpful for the detection of the most prevalent resistance genes of fermentative bacteria.Copyright © GERMS 2022.

Effects of endoscopic reprocessing on disinfection and its influential factors during coronavirus disease 2019 pandemic.

Objective To explore the effects of endoscopic reprocessing on disinfection and its influential factors under the coronavirus disease 2019 (COVID-19) pandemic. Methods A total of 450 endoscopes cleaned and disinfected according to Technical Specifications for Cleaning and Disinfection of Endoscopes from November 2019 to January 2020, and 450 endoscopes cleaned and disinfected according to The recommended procedure for cleaning and disinfection of gastrointestinal endoscopes during COVID-19 epidemic by Chinese Society of Digestive Endoscopology from February to April 2020 in the Second Affiliated Hospital of Chongqing Medical University were enrolled in the control group and observation group respectively by random number method. Both the control group and the observation group contained 200 gastroscopes, 200 enteroscopes and 50 ultrasound endoscopes. ATP fluorescence detection method and pour plate technique were used to evaluate the disinfection effect of endoscopes. Single factor analysis and multiple logistic regression were used to analyze the risk factors for unqualified sterilization after endoscopic reprocessing. Results The disinfection pass rates of gastroscopes, enteroscopes and ultrasound endoscopes in the observation group were not significantly different compared with those of the control group (P>0. 05). The sterilization pass rates and ATP test pass rates of gastroscopes, enteroscopes and ultrasound endoscopes in the observation group were significantly higher than those in the control group (all P<0. 05). Multivariate logistic regression analysis showed that non-strict implementation of endoscopic reprocessing (OR = 7. 96, 95%CI: 4. 55-22. 84, P<0. 001), non-standard operation (OR = 2. 26, 95%CI: 1. 24-5. 63, P<0. 001), insufficient concentration of disinfectant (OR = 5. 43, 95% CI: 2. 52-9. 02, P < 0. 001), insufficient concentration ratio of multi-enzyme solution (OR = 4. 38, 95% CI: 1. 95-8. 61, P < 0. 001), non-timely cleaning (OR= 2. 86, 95%CI: 1. 33-6. 42, P<0. 001), incomplete cleaning (OR = 3. 75, 95%CI: 1. 61-7. 49, P<0. 001) and improper endoscopic preservation (OR= 2. 12, 95%CI: 1. 36-4. 12, P<0. 001) were independent risk factors for unqualified sterilization after endoscopic reprocessing. Conclusion In COVID-19 pandemic, endoscope reprocessing can significantly improve the disinfection effect of endoscopes, worthy of further clinical promotion. The failure to strictly implement the reprocessing procedure is an important factor that may lead to unqualified sterilization.Copyright © 2021 The authors.

Surface enhanced Raman spectroscopy based analysis of SARS-CoV-2 spike protein binding to ACE2 receptor

The SARS-CoV-2 virus is still a challenge because of its diversity and mutations. The binding interactions of the angiotensin converting enzyme 2 (ACE2) receptor and the spike protein are relevant for the SARS-CoV-2 virus to enter the cell. Consequently, it is important and helpful to analyze binding activities and the changes in the structure of the ACE2 receptor and the spike protein. Surface enhanced Raman spectroscopy is able to analyze small concentrations of the proteins without contact, non-invasively and label-free. In this work, we present a SERS based approach in the visible wavelength range to analyze and study the binding interactions of the ACE2 receptor and the spike protein. SERS measurements of the ACE2 receptor, the spike protein and the ACE2-spike complex were performed. Additionally, an inhibitor was used to prevent the spike protein from binding to ACE2 and to compare the results. The analysis of the measured SERS spectra reveals structural differences and changes due to binding activities. Thus, we show that the performed SERS based approach can help for rapid and non-invasive analysis of binding interactions of the ACE2-spike complex and also of protein binding in general. © 2023 SPIE.

Can We Detect Urban‐Scale CO2 Emission Changes Within Medium‐Sized Cities?

The COVID‐19 pandemic resulted in a widespread lockdown during the spring of 2020. Measurements collected on a light rail system in the Salt Lake Valley (SLV), combined with observations from the Utah Urban Carbon Dioxide Network observed a notable decrease in urban CO2 concentrations during the spring of 2020 relative to previous years. These decreases coincided with a ∼30% reduction in average traffic volume. CO2 measurements across the SLV were used within a Bayesian inverse model to spatially allocate anthropogenic emission reductions for the first COVID‐19 lockdown. The inverse model was first used to constrain anthropogenic emissions for the previous year (2019) to provide the best possible estimate of emissions for 2020, before accounting for emission reductions observed during the COVID‐19 lockdown. The posterior emissions for 2019 were then used as the prior emission estimate for the 2020 COVID‐19 lockdown analysis. Results from the inverse analysis suggest that the SLV observed a 20% decrease in afternoon CO2 emissions from March to April 2020 (−90.5 tC hr−1). The largest reductions in CO2 emissions were centered over the northern part of the valley (downtown Salt Lake City), near major roadways, and potentially at industrial point sources. These results demonstrate that CO2 monitoring networks can track reductions in CO2 emissions even in medium‐sized cities like Salt Lake City.Alternate :Plain Language SummaryHigh‐density measurements of CO2 were combined with a statistical model to estimate emission reductions across Salt Lake City during the COVID‐19 lockdown. Reduced traffic throughout the COVID‐19 lockdown was likely the primary driver behind lower CO2 emissions in Salt Lake City. There was also evidence that industrial‐based emission sources may of had an observable decrease in CO2 emissions during the lockdown. Finally, this analysis suggests that high‐density CO2 monitoring networks could be used to track progress toward decarbonization in the future.

The spatial concentration, stability, and specialization of mental health calls for service: Evidence in support of proactive, place-based interventions

For many decades the police have been the de facto responders to persons with perceived mental illness (PwPMI). However, having the police in this role has come with negative repercussions for PwPMI, such as disproportionately experiencing criminalization and use of force. In recognizing these issues, the police-and more recently, the community-have developed responses that either seek to improve interactions between the police and PwPMI or remove the police from this role altogether. However, in either case, these efforts are reactivein nature, responding to crises that arguably could have been prevented had a timelier intervention taken place. Further, evidence on certain police responses to PwPMI, such as Crisis Intervention Teams (CIT) and co-response teams, suggests that they endure deployment-related challenges, thus limiting their reach to PwPMI.Drawing from the Criminology of Place and existing place-based policing strategies, the present dissertation argues that efforts focused on respondingto PwPMI should instead be proactively deployed, targeting areas where interactions between police and PwPMI concentrate spatially. Doing so would not only result in efficient deployment of scarce resources but would permit police- and community-based efforts to have a greater reach to PwPMI and thus prevent future interactions with police. To-date, however, there have been few empirical and theoretical investigations into the spatial patterns of PwPMI calls for service that could inform such proactive, place-based efforts. Specifically, we do not currently understand: (1) the degree to which PwPMI calls for service concentrate within certain geographical contexts (such as a small city);(2) whether the degree of PwPMI call concentration and the location of these calls remain stable over time;and (3) what theoretical frameworks explain why PwPMI calls for service occur where they do. Drawing on seven years (2014-2020) of calls for service data from the Barrie Police Service and data from the 2016 Canadian Census, the present dissertation employs various methods of spatial analysis to fills these specific knowledge gaps.Although the theoretical investigation confirmed the findings of previous work that found no association between social disorganization theory and the spatial patterns of PwPMI calls for service, the present dissertation revealed: (1) PwPMI calls for service are highly concentrated within the context of a small city, even more so than what has previously been uncovered in larger jurisdictions;(2) the degree of PwPMI call concentration is stable over time, falling within a narrow proportional bandwidth of spatial units;and (3) PwPMI calls for service, and their concentrations, occur in the same places over time-even during the COVID-19 pandemic-and are thus spatially stable. As such, though more scholarship is needed on theories that might help explain why PwPMI calls occur where they do, the findings of the present dissertation strongly support the proactive, place-based deployment of resources to PwPMI. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Health-related quality of life in long COVID-19 in context of symptom type

Aim: Coronavirus disease 2019 (COVID-19) is complex multisystem disease. After 4 weeks of persistent symptoms, it is termed as Long COVID-19. Long COVID-19 causes a decrease in health-related quality of life (HRQoL). In this study, it was aimed to determine which symptoms were associated with lower HRQoL in Long COVID-19 in this study. Material(s) and Method(s): This cross-sectional study was conducted in a tertiary research hospital. Patients who have positive RT-PCR results at least 28 days and at most 180 days ago were selected for the study. Online survey was applied to 266 patients who had positive PCR test results for COVID-19. The EuroQoL 5D-3L scale was used to measure the HRQoL as a dependent variable. Socio-demographic features and symptoms were assessed by the survey as independent variables. Due to heteroscedasticity, a robust standard error regression analysis was conducted to make inferences on the effects of persistent symptoms on HRQoL. Result(s): Of the total 266 participants, 163 were females (63.3%). The mean age was 41.2 +/- 11.8 years. One hundred forty-two patients (53.3%) did not report any ongoing symptom. Female gender and lower education level as socio-demographic variables, visual problems and myalgia as persistent symptoms were identified as risk factors for reduced HRQoL in Long COVID-19 patients. Discussion(s): Long COVID-19 patients experience lower levels of HRQoL, especially those with visual problems and/or myalgia. Interventions to raise the HRQoL of Long COVID-19 patients should first target visual problems and myalgia.Copyright © 2023, Derman Medical Publishing. All rights reserved.

Competitiveness, Market Structure, and Energy Policies: A Case Study of the World's Largest Crude Palm Oil Exporter

Crude Palm Oil (CPO) is the mainstay of Indonesian agricultural products which is the largest CPO producing country in the world. The high market share of Indonesian CPO exports reflects the high competitiveness of Indonesian CPO in the global market. The purpose of this study is to determine the competitiveness of Indonesian CPO, the concentration of the Indonesian CPO industry, and analyze the factors that are suspected to affect the competitiveness of the CPO industry in Indonesia. The data used in this study are secondary data with a five-digit ISIC (10432) using time series data for 2001-2020 and the analytical techniques used in this study include Revealed Competitive Advantage (RCA), Gini Coefficient, and Error Correction Model (ECM). The results showed that Indonesian CPO has high competitiveness in the international market, the Indonesian CPO industry is not concentrated, in the short term the variables that affect competitiveness are CPO prices, subsidized solar prices policy, and industrial concentrations, while in the long term the influential variables are biodiesel policy, subsidized diesel oil policy and industrial concentration

Managing Severe Acute Asthma Exacerbation in Pregnancy during the COVID-19 Pandemic: A Case Report from a Resource-limited Setting

BACKGROUND: One-third of pregnant women will experience worsening asthma requiring emergency hospitalization. However, no report comprehensively discussed the management of asthma attacks in pregnant women in impoverished settings. We attempt to illuminate what general practitioners can do to stabilize and improve the outcome of severe acute asthma exacerbations in primary care with resource limitations. CASE REPORT: A nulliparous 29-year-old woman in her 21st week of pregnancy presented severe acute asthma exacerbation in moderate persistent asthma with uncontrolled asthma status along with gestational hypertension, uncompensated metabolic acidosis with a high anion gap, anemia, respiratory infection, and asymptomatic bacteriuria, all of which influenced her exacerbations. This patient was admitted to our resource-limited subdistrict hospital in Indonesia during the COVID-19 pandemic for optimal stabilization. Crystalloid infusions, oxygen supplementation, nebulized beta-agonist with anticholinergic agents, inhaled corticosteroids, intravenous methylprednisolone, broad-spectrum antibiotics, subcutaneous terbutaline, mucolytics, magnesium sulphate, oral antihypertensives, and continuous positive airway pressure were used to treat her life-threatening asthma. After she was stabilized, we referred the patient to a higher-level hospital with more advanced pulmonary management under the supervision of a multidisciplinary team to anticipate the worst scenario of pregnancy termination. CONCLUSION(S): Limitations in primary care, including the lack of sophisticated intensive care units and laboratory panels, may complicate challenges in managing severe acute asthma exacerbation during pregnancy. To enhance maternal-fetal outcomes, all multidisciplinary team members should be well-informed about key asthma management strategies during pregnancy using evidence-based guidelines regarding the drug, rationale, and safety profile.Copyright © 2023 Muhammad Habiburrahman, Triya Damayanti, Mohammad Adya Firmansha Dilmy, Hariyono Winarto.

The impact of Covid-19 on the Korean and US labour markets

This study compares labour market experiences in South Korea and the US at the outbreak of the pandemic and then again in November 2020. We found that the pandemic had the most considerable effect on the not-at-work rate in South Korea and the unemployment rate in the US. We computed concentration indices to measure inequality in the labour markets using education as a socioeconomic ranking variable. Applying a Recentered Influence Function (RIF) regression, we found that unemployment was more concentrated among less-educated workers in South Korea. Still, the not-at-work rate was more concentrated among highly educated workers. While the ability to work from home played an important role in explaining these inequalities, by November 2020, the Korean labour market showed minimal disparities. In general, US workers with lower education levels experienced higher unemployment and not-at-work rates. The capability to work remotely considerably reduced inequality in April, but it did not in November.

The birth of Boererate: women and healing during the South African war

This article reinterprets historical works on the history of medicine in South Africa and how present-day Afrikaner home-based healing therapies known as Boererate engage with this history. By reinterpreting historical sources, we illustrate how Boer women in concentration camps during the South African War were waging an ideological war. We argue that there is a distinction between the creolised medicines that Boer women took into the concentration camps and the body of knowledge — Boererate — that emerged from the camps after the women were released. The article brings archival research and interviews with interlocutors into conversation to show how a knowledge system like Boererate has persisted through time and become very popular in online forums and Facebook groups during the Covid-19 pandemic. The article is part of a wider project investigating Boererate in historical and diverse contemporary contexts. (English) [ FROM AUTHOR] Este artigo reinterpreta estudos históricos sobre a história dos medicamentos na África do Sul e como as atuais terapias caseiras africâneres conhecidas como Boererate se relacionam com essa história. Ao reinterpretar as fontes históricas, ilustramos como as mulheres bôeres nos campos de concentração durante a Guerra Sul-Africana travavam uma guerra ideológica. Argumentamos que há uma distinção entre os medicamentos crioulizados que as mulheres bôeres levaram para os campos de concentração e o corpo de conhecimento – Boererate – que emergiu dos campos depois que as mulheres foram libertadas. O artigo coloca em diálogo pesquisas de arquivo e entrevistas com interlocutores para mostrar como um sistema de conhecimento como o Boererate persistiu ao longo do tempo e se tornou muito popular em fóruns online e grupos do Facebook durante a pandemia de Covid-19. O artigo faz parte de um projeto mais amplo que investiga o Boererate em contextos históricos e contemporâneos diversos. (Portuguese) [ FROM AUTHOR] Copyright of Anthropology Southern Africa (2332-3256) is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Analyses of kidney biomarkers in patients with sars-cov-2 (Covid-19)

The new coronavirus was first reported in China and caused a widespread global outbreak of pneumonia that spread rapidly across this country and many other countries. Acute kidney injury is one of the important complications of COVID-19, which has been shown in some cases. Exploring the diagnostic features of biomarkers of kidney function in COVID-19 patients may lead to better patient management. We collected laboratory data from 206 people with confirmed COVID-19 disease and evaluated their renal biomarkers, Blood Urea Nitrogen (BUN), and creatinine. The age range of the patients was almost 62 years old. The mean age in the dead patients and recovered patients was 71 and 54 years old, respectively. The average LDH value was 755 U/L, and creatine phosphokinase (CPK) was 267 U/L in the patients. The average BUN was 59.1 U/L, and creatinine was 1.5 U/L in COVID-2019 patients. Among all 193 patients, laboratory results revealed that 163 (85.4%) patients had an elevated BUN level. Based on creatinine levels for total patients, laboratory results revealed that 49 (25.4%) patients had an elevated value. The average BUN value in dead patients was 85 mg/dL, while in recovered patients was 40.5 mg/dL (P<0.0001). Also, the average creatinine level in dead patients was 1.86 mg/dL, while in recovered patients was 1.24 mg/dL (P=0.0004). Inflammation following COVID-19 disease causes kidney damage and elevated urea and creatinine levels, which may increase the risk of death in these patients.Copyright © 2023 Tehran University of Medical Sciences.

Computational mathematics applied in the identification of the risk of indirect contagion of COVID-19 in university classrooms

This exploratory study evaluated the risk of contagion from airborne diseases, such as coronaviruses, in schools. For three days, the concentration of carbon dioxide in two university classrooms was monitored for 90 minutes, while the students took their math classes. We use these values to validate a first-order model for carbon dioxide concentration and calculate the air exchange rate indirectly (avoiding the need for expensive measurement equipment). The air exchange rate obtained allowed us to assess whether the usual ventilation systems (both natural and mechanical) are sufficient to guarantee a low risk of contagion of aerosols due to respiration. The results show that the risk of contagion is low if three factors are considered: the level of conversation within the classroom, the usage of a moisture extraction system, and the lecture duration. The risk is low if the lecture time is less than 50 minutes, the level of conversation is moderate, and a moisture extraction system is available. If these conditions are not met the risk is considerably higher even if mechanical ventilation is employed.

Environmental and structural factors driving poor quality of care: An examination of nursing homes serving Black residents.

BACKGROUND: Poor quality of care in nursing homes (NHs) with high proportions of Black residents has been a problem in the US and even more pronounced during the COVID-19 pandemic. Federal and state agencies are devoting attention to identifying the best means of improving care in the neediest facilities. It is important to understand environmental and structural characteristics that may have led to poor healthcare outcomes in NHs serving high proportions of Black residents pre-pandemic. METHODS: We conducted a cross-sectional observational study using multiple 2019 national datasets. Our exposure was the proportion of Black residents in a NH (i.e., none, <5%, 5%-19.9%, 20-49.9%, ≥50%). Healthcare outcomes examined were hospitalizations and emergency department (ED) visits, both observed and risk-adjusted. Structural factors included staffing, ownership status, bed count (0-49, 50-149, or ≥150), chain organization membership, occupancy, and percent Medicaid as a payment source. Environmental factors included region and urbanicity. Descriptive and multivariable linear regression models were estimated. RESULTS: In the 14,121 NHs, compared to NHs with no Black residents, NHs with ≥50% Black residents tended to be urban, for-profit, located in the South, have more Medicaid-funded residents, and have lower ratios of registered-nurse (RN) and aide hours per resident per day (HPRD) and greater ratios of licensed practical nurse HPRD. In general, as the proportion of Black residents in a NH increased, hospitalizations and ED visits also increased. DISCUSSION/IMPLICATIONS: As lower use of RNs has been associated with increased ED visits and hospitalizations in NHs generally, it is likely low RN use largely drove the differences in hospitalizations and ED visits in NHs with greater proportions of Black residents. Staffing is an area in which state and federal agencies should take action to improve the quality of care in NHs with larger proportions of Black residents.

The Most Vulnerable Hispanic Immigrants in New York City: Structural Racism and Gendered Differences in COVID-19 Deaths.

This paper explores the structural and group-specific factors explaining the excess death rates experienced by the Hispanic population in New York City during the peak years of the coronavirus pandemic. Neighborhood-level analysis of Census data allows an exploration of the relation between Hispanic COVID-19 deaths and spatial concentration, conceived in this study as a proxy for structural racism. This analysis also provides a more detailed exploration of the role of gender in understanding the effects of spatial segregation among different Hispanic subgroups, as gender has emerged as a significant variable in explaining the structural and social effects of COVID-19. Our results show a positive correlation between COVID-19 death rates and the share of Hispanic neighborhood residents. However, for men, this correlation cannot be explained by the characteristics of the neighborhood, as it is for women. In sum, we find: (a) differences in mortality risks between Hispanic men and women; (b) that weathering effects increase mortality risks the longer Hispanic immigrant groups reside in the U.S.; (c) that Hispanic males experience greater contagion and mortality risks associated with the workplace; and (d) we find evidence corroborating the importance of access to health insurance and citizenship status in reducing mortality risks. The findings propose revisiting the Hispanic health paradox with the use of structural racism and gendered frameworks.

A systematic review of the effect of COVID-19 on semen parameters.

Background and objectives: Since the outbreak of COVID-19, more and more studies have proved that it has an impact on the male reproductive system. The purpose of this article is to investigate the effects of COVID-19 on male semen parameters, further analyze the incidence and risk factors of diseases related to semen parameters, and put forward to corresponding preventive measures. Methods: Retrieved from PubMed, Embase, The Cochrane Library, Web of Science, Clinicaltrails, CNKI, CBM, Wanfang Database and VIP to collect research on the effects of COVID-19 on the male reproductive system. The literature search was conducted until January 2022. In strict accordance with the inclusion and exclusion criteria, two researchers independently screened the literature and comprehensively analyzed five cohort studies on the impact of COVID-19 on male reproductive system. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the included cohort studies, and Revman 5.4.1 was applied for statistical analysis. Results: Semen volume (RR = -0.10; 95% CI: 0.45, 0.26; P = 0.60), there was no significant difference between the test group and the control group; Sperm count (RR = -45.28; 95% CI: 66.38, 24.19; P = 0.0001), the sperm count of the COVID-19 test group was lower than that of the control group, and the difference was statistically significant; Sperm concentration (RR = -15.65 × 106; 95%CI: 31.52 × 106, 0.21 × 106; P = 0.05), there was no significant difference between the test group and the control group; progressive sperm motility (RR = 4.31; 95% CI: 4.62, 13.24; P = 0.34), there was no effect on progressive sperm motility in the COVID-19 test group compared with the control group. Conclusions: COVID-19 can reduce semen quality and affect male fertility. However, due to the limitations of this study, this conclusion needs to be further verified by large-sample, high-quality prospective cohort studies on the long-term effects of COVID-19 on male reproductive function.

The effects of city morphology on airborne transmission of COVID-19. Case study: Port Said City, Egypt.

Looking beyond COVID-19 outbreak, Scholars continue to develop innovative approaches to bring the city on to health and safety. Recent studies have indicated that urban spaces could produce or propagate pathogens, which is an urgent topic at the city level. However, there is a dearth of studies investigating the interrelationship between urban morphology and pandemics outbreak at the neighborhood level. Accordingly, this research will trace the effect of cities morphologies on the rate of spread of COVID-19 through a simulation study held on five areas that form the urban morphology of Port Said City, using Envi-met software. Results are explored based on the degree of concentration and rate of diffusion of coronavirus particles. It was observed on a regular basis that wind speed has a directly proportional relationship with the diffusion of the particles and an inversely proportional relationship with the concentration of the particles. However, certain urban characteristics led to inconsistent and opposing results like wind tunnels, shaded arcades, height variance, and spacious in-between spaces. Moreover, it is obvious that the city morphology is being transformed over time toward safer conditions; urban areas constructed recently have low vulnerability to respiratory pandemics outbreak compared to older areas.

How do governmental wage subsidies enhance SME resilience in the COVID-19 pandemic?

PurposeCoronavirus disease 2019 (COVID-19) has had a tremendous negative effect on the economies around the world by infusing uncertainty into supply chains. In this paper, the authors address two important research questions (RQs): (1) did COVID-19 wage subsidies impact small and medium enterprises (SMEs) to become more flexible towards the SMEs' business customers and (2) can such flexibility be a source for greater resilience to the crisis? As a result, the authors investigate the relationship between governmental wage subsidies and SMEs' flexibility norms towards the SMEs' business customers (study 1). The authors further uncover when and how flexibility towards existing customers contributes to SME resilience (study 2).Design/methodology/approachThe authors frame the inquiry under the resource dependence theory (RDT) and behavioural additionality principle. The authors use survey methodology and test the assumptions in study 1 (n = 225) and study 2 (n = 95) on a sample of SMEs from various business-to-business (B2B) industries in Croatia.FindingsOverall, in study 1, the authors find that SMEs that receive governmental wage subsidies have greater flexibility norms. However, this relationship is significantly conditioned by SMEs' competitive profile. SMEs that strongly rely on innovation are more willing to behave flexibly when receiving subsidies, whereas SMEs driven by branding do not. Study 2 sheds light on when flexibility towards existing customers increases SME resilience. Findings show that flexibility norms are negatively related to resilience, but this relationship is becoming less negative amongst SMEs with lower financial dependence on the largest customer.Originality/valueThis study extends RDT in the area of firm-government relationships by showing that wage subsidies became a source of power for the Government and a source of dependency for SMEs. In such cases, the SMEs receiving those subsidies align with the governmental agenda and exhibit higher flexibility towards the SMEs' customers. Drawing arguments from behavioural additionality, the authors show that this effect varies due to SMEs' attention and organisational priorities resulting from different competitive profiles. Ultimately, the authors showcase that higher flexibility norms can contribute to resilience if the SME restructures its dependency by having a less-concentrated customer base.

The psychological consequences of long COVID. The effect of uncertainties, coping strategies, social support systems and quality of life on the onset of depression

Objectives: Many people were infected by COVID-19 and for a minority of them, symptoms persisted beyond twenty days. These symptoms are multi-systemic, fluctuating, and impact the quality of life. Long COVID was first defined by patients themselves in the spring of 2020 to describe their recovery problems. Specifically, long COVID is defined as "a constellation of physical and mental symptoms which can persist or emerge afterwards, generating a multi-systemic and disabling syndrome, which varies from patient to patient and fluctuates over time". The persistence of COVID symptoms, the decrease in the quality of life, the uncertainly about the future sometimes accompanied by a low level of social support perceived in the medical and personal entourage may have triggered the occurrence of a depressive disorder in patients with long COVID. The objective of this research was to study the effect of long COVID symptoms, of uncertainty and the impairment of quality of life on the development of depressive symptoms, while identifying the impact of moderating variables such as coping strategies and social support. Material(s) and Method(s): Two hundred and fourteen participants with long COVID (aged 18-68, M = 44, SD = 11), including 93 % females (n = 200) and 7% males (n = 14), participated in this cross-sectional quantitative study between the months of April and June 2022. They described their symptoms and responded to five scales: the Evaluation of Intolerance of Uncertainty Scale (EII), the Coping Strategies Checklist (WCC), the Medical Outcome Study Short Form 36-item health survey (MOS SF-36), the Perceived Social Support Questionnaire (QSSP), and the Hospital Anxiety and Depression Scale (HADS). Result(s): 91% of the participants reported symptoms of fatigue (n = 171), 52% a loss of concentration (n = 111), 51% pain (n = 110), 49 % trouble sleeping (n = 104), and 41% memory problems (n = 88). Compared with the general population, they presented a poorer quality of life, as well as high scores for anxiety, depression, and intolerance of uncertainty. Scores on coping strategies were also higher than the norms for the general population, and scores on satisfaction with social support were generally good. It was also found that the variables of intolerance of uncertainty, quality of life, and depression all correlated with each other. Furthermore, the regression analysis revealed predictors of depression. The areas of quality of life and emotional well-being (beta = -0.41, t(199) = -6.23, P < 0.01) and fatigue/energy (beta = -0.16, t(199) = -2.83, P < 0.01) were negative predictors of depression, as was the problem-focused coping score (beta = -0.14, t(199) = -2.84, P < 0.05). Symptoms of the disorder related to concentration difficulties (beta = 0.27, t(199) = 5.16, P < 0.01) and those impacting projects (beta = 0.18, t(199) = 3.31, P < 0.01) were positive predictors of depression. The second finding of this study is that people treated specifically for their long COVID had significantly lower scores for anxiety and intolerance of uncertainty despite lower scores for certain dimensions of quality of life. The individuals who took part in our study also developed more problem-based coping strategies and reported more availability of and satisfaction with social support. Lastly, in terms of quality of life, the treated population expressed better mental health. Conclusion(s): The study showed that, in addition to the effects of long COVID symptoms, quality of life, and coping strategies on the onset of symptoms of depression, the specific treatment of patients with long COVID seemed to constitute in itself a protective factor against depression and anxiety. It therefore would seem essential that any patient suffering from long COVID should receive multidisciplinary care specific to this pathology.Copyright © 2023 Elsevier Masson SAS

The effect of ventilation performance on risk of indoor airborne transmission of SARS-CoV-2

Ventilation performance plays a significant role in distributing contaminants and airborne infections indoors. Thus, poorly ventilated public spaces may be at high risk due to the presence of both infectious and susceptible people. Adapting HVAC ventilation systems to mitigate virus transmission requires considering ventilation rate, airflow patterns, air balancing, occupancy, and feature placement. The study aims to identify poorly ventilated spaces where airborne transmission of pathogens such as SARS-CoV-2 could be critical. This study is focused on evaluating the ventilation performance of the building stock and the safety of using the facilities based on measured indoor CO2. The results revealed the spaces with the potential risk of indoor airborne transmission of COVID-19. The study proposes recommendations for utilising air ventilation systems in different use cases. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.