Working from home and firm resilience to the COVID‐19 pandemic

The COVID‐19 pandemic has disrupted firms' operations. To cope with the crisis, many firms have allowed their employees to work from home (WFH). We examine whether a firm's WFH capacity has increased its resilience during the pandemic. We test the hypotheses using a unique data set that combines listed firms' financial statements, supply chain partners, and job postings on a leading online platform that provides hiring services. We find that imposing COVID‐19 anti‐contagion policies on firms and their suppliers or customers significantly increases their operating revenue volatility, slows their recovery, and has repercussions on their supply chains. WFH enhances firms' resistance capacity by reducing the effect of COVID‐19 on their operating revenue volatility and disruptions to their supply chain partners;however, it also decreases their recovery capacity by extending the time taken to return to normal. Firm attributes, along with workers' occupations, education, and experience, have an impact on the effect of WFH on firm resilience. This study enhances our understanding of shock transmission across supply chains and WFH as a source of firm resilience.

Comprehensive analysis of disinfectants on the horizontal transfer of antibiotic resistance genes.

The propagation of antimicrobial resistance (AMR) is constantly paralyzing our healthcare systems. In addition to the pressure of antibiotic selection, the roles of non-antibiotic compounds in disseminating antibiotic resistance genes (ARGs) are a matter of great concerns. This study aimed to explore the impact of different disinfectants on the horizontal transfer of ARGs and their underlying mechanisms. First, the effects of different kinds of disinfectants on the conjugative transfer of RP4-7 plasmid were evaluated. Results showed that quaternary ammonium salt, organic halogen, alcohol and guanidine disinfectants significantly facilitated the conjugative transfer. Conversely, heavy-metals, peroxides and phenols otherwise displayed an inhibitory effect. Furthermore, we deciphered the mechanism by which guanidine disinfectants promoted conjugation, which includes increased cell membrane permeability, over-production of ROS, enhanced SOS response, and altered expression of conjugative transfer-related genes. More critically, we also revealed that guanidine disinfectants promoted bacterial energy metabolism by enhancing the activity of electron transport chain (ETC) and proton force motive (PMF), thus promoting ATP synthesis and flagellum motility. Overall, our findings reveal the promotive effects of disinfectants on the transmission of ARGs and highlight the potential risks caused by the massive use of guanidine disinfectants, especially during the COVID-19 pandemic.

Disinfectants facilitate the transformation of exogenous antibiotic resistance genes via multiple pathways.

The prevalence and spread of multidrug-resistant (MDR) bacteria pose a global challenge to public health. Natural transformation is one of the essential ways for horizontal transfer of antibiotic resistance genes (ARGs). Although disinfectants are frequently used during COVID-19, little is known about whether these disinfectants are associated with the transformation of plasmid-borne ARGs. In our study, we assessed the effect of some disinfectants on bacterial transformation using resistance plasmids as extracellular DNA and E. coli DH5α as the recipient bacteria. The results showed that these disinfectants at environmentally relevant concentrations, including benzalkonium bromide (BB), benzalkonium chloride (BC) and polyhexamethylene guanidine hydrochloride (PHMG), significantly enhanced the transformation of plasmid-encoded ARGs. Furthermore, we investigated the mechanisms underlying the promotive effect of disinfectants on transformation. We revealed that the addition of disinfectants significantly increased the membrane permeability and promoted membrane-related genes expression. Moreover, disinfectants led to the boosted bacterial respiration, ATP production and flagellum motility, as well as increased expression of bacterial secretion system-related genes. Together, our findings shed insights into the spread of ARGs through bacterial transformation and indicate potential risks associated with the widespread use of disinfectants.

Big data and big disaster: a mechanism of supply chain risk management in global logistics industry

PurposeAlthough big data may enhance the visibility, transparency, and responsiveness of supply chains, whether it is effective for improving supply chain performance in a turbulent environment, especially in mitigating the impact of COVID-19, is unclear. The research question the authors addressed is: How do logistics firms improve the supply chain performance in COVID-19 through big data and supply chain integration (SCI)?Design/methodology/approachThe authors used a mixed-method approach with four rounds of data collection. A three-round survey of 323 logistics firms in 26 countries in Europe, America, and Asia was first conducted. The authors then conducted in-depth interviews with 55 logistics firms.FindingsIn the first quantitative study, the authors find mediational mechanisms through which big data analytics technology capability (BDATC) and SCI influence supply chain performance. In particular, BDATC and SCI are two second-order capabilities that help firms develop three first-order capabilities (i.e. proactive capabilities, reactive capabilities, and resource reconfiguration) and eventually lead to innovation capability and disaster immunity that allow firms to survive in COVID-19 and improve supply chain performance. The results of the follow-up qualitative analysis not only confirm the inferences from the quantitative analysis but also provide complementary insights into organizational culture and the institutional environment.Originality/valueThe authors contribute to supply chain risk management by developing a three-level hierarchy of capabilities framework and finding a mechanism with the links between big data and big disaster. The authors also provide managerial implications for logistics firms to address the new management challenges posed by COVID-19.

Detection of COVID-19 Cases Based on Deep Learning with X-ray Images

Since the outbreak of COVID-19, the coronavirus has caused a massive threat to people's lives. With the development of artificial intelligence technology, identifying key features in medical images through deep learning, infection cases can be screened quickly and accurately. This paper uses deep-learning-based approaches to classify COVID-19 and normal (healthy) chest X-ray images. To effectively extract medical X-ray image features and improve the detection accuracy of COVID-19 images, this paper extracts the texture features of X-ray images based on the gray level co-occurrence matrix and then realizes feature selection by principal components analysis (PCA) and t-distributed stochastic neighbor embedding (T-SNE) algorithms. To improve the accuracy of X-ray image detection, this paper designs a COVID-19 X-ray image detection model based on the multi-head self-attention mechanism and residual neural network. It applies the multi-head self-attention mechanism to the residual network bottleneck layer. The experimental results show that the multi-head self-attention residual network (MHSA-ResNet) detection model has an accuracy of 95.52% and a precision of 96.02%. It has a good detection effect and can realize the three classifications of COVID-19 pneumonia, common pneumonia, and normal lungs, proving the method's effectiveness and practicability in this paper.

Big data and big disaster: a mechanism of supply chain risk management in global logistics industry

Purpose Although big data may enhance the visibility, transparency, and responsiveness of supply chains, whether it is effective for improving supply chain performance in a turbulent environment, especially in mitigating the impact of COVID-19, is unclear. The research question the authors addressed is: How do logistics firms improve the supply chain performance in COVID-19 through big data and supply chain integration (SCI)? Design/methodology/approach The authors used a mixed-method approach with four rounds of data collection. A three-round survey of 323 logistics firms in 26 countries in Europe, America, and Asia was first conducted. The authors then conducted in-depth interviews with 55 logistics firms. Findings In the first quantitative study, the authors find mediational mechanisms through which big data analytics technology capability (BDATC) and SCI influence supply chain performance. In particular, BDATC and SCI are two second-order capabilities that help firms develop three first-order capabilities (i.e. proactive capabilities, reactive capabilities, and resource reconfiguration) and eventually lead to innovation capability and disaster immunity that allow firms to survive in COVID-19 and improve supply chain performance. The results of the follow-up qualitative analysis not only confirm the inferences from the quantitative analysis but also provide complementary insights into organizational culture and the institutional environment. Originality/value The authors contribute to supply chain risk management by developing a three-level hierarchy of capabilities framework and finding a mechanism with the links between big data and big disaster. The authors also provide managerial implications for logistics firms to address the new management challenges posed by COVID-19.

Social Stigma and Depression among Asymptomatic COVID-19 Carriers in Shanghai, China: The Mediating Role of Entrapment and Decadence.

INTRODUCTION: Since the advent of 2019 novel coronavirus (COVID-19), the coexistence between social stigma and depression symptoms (depression hereafter) in COVID-19 patients has been mentioned, but the mechanisms involved remains unclear. This study aimed to explore how the stigma affects depression during the mid-pandemic period. METHODS: A cross-sectional survey using non-probability sampling was conducted among asymptomatic COVID-19 carriers in Shanghai, China (April 2022). An online questionnaire was used to obtain information on demographic characteristics and psychological traits. Logistic regression and path analysis were performed to analyze the depression risk factors and examine the mediation model, respectively. RESULTS: A total of 1283 participants (59.6% men) were involved in this study, in which 44.7% of carriers reported having depression. Univariate analyses found that education level (OR 0.575; 95% CI 0.448-0.737) and doses of vaccine (OR 1.693; 95% CI 1.042-2.750), were significantly associated with depression among asymptomatic carriers. The association between social stigma and depression was fully mediated by their feelings of entrapment and decadence (indirect effect = 0.204, p < 0.001; direct effect = -0.059, p = 0.058). The mediating role of entrapment between stigma and depression was moderated by age group (estimate = 0.116, p = 0.008). CONCLUSION: Mental health issues resulting from the COVID-19 pandemic are increasingly apparent in China and require urgent attention and responses. These findings provide new perspectives for the early prevention of depression in asymptomatic carriers.

Working from home and firm resilience to the COVID‐19 pandemic

The COVID‐19 pandemic has disrupted firms' operations. To cope with the crisis, many firms have allowed their employees to work from home (WFH). We examine whether a firm's WFH capacity has increased its resilience during the pandemic. We test the hypotheses using a unique data set that combines listed firms' financial statements, supply chain partners, and job postings on a leading online platform that provides hiring services. We find that imposing COVID‐19 anti‐contagion policies on firms and their suppliers or customers significantly increases their operating revenue volatility, slows their recovery, and has repercussions on their supply chains. WFH enhances firms' resistance capacity by reducing the effect of COVID‐19 on their operating revenue volatility and disruptions to their supply chain partners;however, it also decreases their recovery capacity by extending the time taken to return to normal. Firm attributes, along with workers' occupations, education, and experience, have an impact on the effect of WFH on firm resilience. This study enhances our understanding of shock transmission across supply chains and WFH as a source of firm resilience. Highlights Measures of Work‐from‐Home (WFH) capacity are developed for Chinese listed firms based on their online job postings. Exploring the variation of policies against COVID‐19 across Chinese cities, we find these policies increased listed firms' operating revenue volatility, slowed their recovery, and generated repercussions on their supply chains. WFH acted like a double‐edged sword: on the one hand, it enhanced firms' resistance capacity by reducing the effect of COVID‐19 on their operating revenue volatility and disruptions to their supply chain partners;on the other hand, it decreased their recovery capacity by extending the time taken to return to normal.

Can We Cryopreserve the Sperm of COVID-19 Patients During the Pandemic?

An extreme strain has been placed on healthcare facilities in the COVID-19 era. Initial stage of the pandemic, national and international societies for reproductive medicine suggested the suspension of new IVF treatments and non-essential cryopreservation of gametes. Accordingly, the demands of cryopreservation of semen with COVID-19 patients also was suspended by some of cryobanks to protect staff and patients from unnecessary viral exposure at the acute stage. However, the pandemic may stay with us longer than expected. In addition, there will be some male COVID-19 patients with cancer or critically illness who needs to cryopreserve their semen before medical treatments, otherwise they might loss the chance of getting their own offspring. In this document, we summarize available evidence to deepen and expand awareness of feasibility of sperm cryopreservation and propose some suggestions to help cryobanks carry out sperm preservation procedure for COVID-19 male patients.

Digital technology deployment and firm resilience: Evidence from the COVID-19 pandemic

Although many firms are aggressively deploying diverse digital technologies (DTs) at inter- and intra-organizational levels, not all firms have achieved the anticipated resilience, especially in the face of supply chain disruptions caused by “black swan” events such as the COVID-19 pandemic. To demystify this phenomenon, we draw on the asset orchestration perspective to investigate how breadth (i.e., the scope) and depth (i.e., the scale) of DT deployment influence a firm's resilience to supply chain disruptions. Survey data from 162 Chinese manufacturing firms show that the depth of DT deployment exerts a positive effect on firm resilience. Interestingly, the breadth has a non-significant effect on firm resilience. Moreover, while the breadth and depth of DT deployment both enhance supply chain coordination, supply chain coordination mediates only the relationship between DT deployment depth and firm resilience. Finally, market acuity positively moderates the relationship between supply chain coordination and firm resilience. We contribute to the literature by providing new theoretical explanations for the inconsistency in the reported relationship between technology deployment and resilience. Our study also helps firms reevaluate their DT deployment.

A center experience with lung transplantation for COVID-19 ARDS.

COVID-19 can cause irreversible lung damage from acute respiratory distress syndrome (ARDS), chronic respiratory failure associated with post COVID-19 de novo fibrosis or worsening of an underlying fibrotic lung disease. Pregnant women are at increased risk for invasive mechanical ventilation, extracorporeal membrane oxygenation, and death. The Centers for Disease Control and Prevention reported more than 22,000 hospitalizations and 161 deaths for COVID-19 in pregnant women. Between August 2020 and September 2021, five patients underwent bilateral lung transplant (LT) for COVID-19 ARDS at the Henry Ford Hospital in Detroit, Michigan. De-identified demographics data, clinical characteristics, perioperative challenges, explanted lung pathology, and post-transplant outcomes are described. In post-hospitalization follow-up (median survival 273 days), we see improving endurance and excellent lung function. One patient did not survive to hospital discharge and succumbed to complications 5 months after LT. We report the first cases of bilateral LT in two postpartum women.

Identification of risk factors for in-hospital death of COVID - 19 pneumonia -- lessions from the early outbreak.

BACKGROUND: To examine the clinical characteristics and identify independent risk factors for in-hospital mortality of 2019 novel coronavirus (COVID-19) pneumonia. METHODS: A total of 156 patients diagnosed with COVID-19 pneumonia at the Central Hospital of Wuhan from January 29, 2020, to March 20, 2020, and 20 healthy individuals were enrolled in this single-centered retrospective study. The epidemiological parameters, clinical presentations, underlying diseases, laboratory test results, and disease outcomes were collected and analyzed. RESULTS: The median age of all enrolled patients was 66 years. At least one underlying disease was identified in 101 COVID-19 patients, with hypertension being the most common one, followed by cardiovascular disease and diabetes. The most common symptoms identified upon admission were fever, cough, dyspnea, and fatigue. Compared to survival cases, patients who died during hospitalization had higher plasma levels of D-dimer, creatinine, creatine kinase, lactate dehydrogenase, lactate, and lower percentage of lymphocytes (LYM [%]), platelet count and albumin levels. Most enrolled patients received antibiotics and anti-viral treatment. In addition, 60 patients received corticosteroids, and 51 received intravenous immunoglobulin infusion. Forty-four patients received noninvasive ventilation and 19 received invasive ventilation. Respiratory failure was the most frequently observed complication (106 [67.9%]), followed by sepsis (103 [66.0%]), acute respiratory distress syndrome (ARDS) (67 [42.9%]), and septic shock (50 [32.1%]). Multivariable regression suggested that advanced age (OR [odds ratio] = 1.098, 95% CI [confidence interval]: 1.006-1.199, P = 0.037), shorter duration from onset to admission (OR = 0.853, 95% CI: 0.750-0.969, P = 0.015) and elevated lactate level upon admission (OR = 2.689, 95% CI: 1.044-6.926, P = 0.040) were independent risk factors for in-hospital mortality for COVID-19 infection. Meanwhile, increased LYM (%) at admission (OR = 0.787, 95% CI: 0.686-0.903, P = 0.001) indicated a better prognosis. CONCLUSIONS: In this study, we discovered that age, duration from onset to admission, LYM (%), and lactate level upon admission were independent factors that affecting the in-hospital mortality rate.

Outbreak of COVID-19 and SARS in mainland China: a comparative study based on national surveillance data.

OBJECTIVE: To compare the epidemiological characteristics and transmission dynamics in relation to interventions against the COVID-19 and severe acute respiratory syndrome (SARS) outbreak in mainland China. DESIGN: Comparative study based on a unique data set of COVID-19 and SARS. SETTING: Outbreak in mainland China. PARTICIPANTS: The final database included 82 858 confirmed cases of COVID-19 and 5327 cases of SARS. METHODS: We brought together all existing data sources and integrated them into a comprehensive data set. Individual information on age, sex, occupation, residence location, date of illness onset, date of diagnosis and clinical outcome was extracted. Control measures deployed in mainland China were collected. We compared the epidemiological and spatial characteristics of COVID-19 and SARS. We estimated the effective reproduction number to explore differences in transmission dynamics and intervention effects. RESULTS: Compared with SARS, COVID-19 affected more extensive areas (1668 vs 230 counties) within a shorter time (101 vs 193 days) and had higher attack rate (61.8 vs 4.0 per million persons). The COVID-19 outbreak had only one epidemic peak and one epicentre (Hubei Province), while the SARS outbreak resulted in two peaks and two epicentres (Guangdong Province and Beijing). SARS-CoV-2 was more likely to infect older people (median age of 52 years), while SARS-CoV tended to infect young adults (median age of 34 years). The case fatality rate (CFR) of either disease increased with age, but the CFR of COVID-19 was significantly lower than that of SARS (5.6% vs 6.4%). The trajectory of effective reproduction number dynamically changed in relation to interventions, which fell below 1 within 2 months for COVID-19 and within 5.5 months for SARS. CONCLUSIONS: China has taken more prompt and effective responses to combat COVID-19 by learning lessons from SARS, providing us with some epidemiological clues to control the ongoing COVID-19 pandemic worldwide.

Clinical characteristics and laboratory results of pregnant women with COVID-19 in Wuhan, China.

OBJECTIVE: To evaluate the clinical characteristics and laboratory test results in pregnant women with coronavirus disease 2019 (COVID-19). METHODS: A retrospective study to review and compare clinical data including electronic medical records and laboratory tests from pregnant and nonpregnant patients admitted the Central Hospital of Wuhan, China from December 8, 2019 to April 1, 2020. RESULTS: A total of 72 women (30 pregnant and 42 nonpregnant) with COVID-19 were included. No patients developed severe pneumonia during the study. Compared with the nonpregnant group, pregnant patients were admitted to hospital earlier (0.25 vs 11.00 days; P<0.001), presented milder symptoms, had a higher rate of asymptomatic infection (26.7% vs 0%), and shorter length of hospital stay (14.5 vs 17.0 days; P<0.01). Laboratory test results showed that levels of inflammation markers such as white blood cell count, neutrophil count and percentage, C-reactive protein, procalcitonin, and D-dimer were significantly higher in pregnant women, whereas mean lymphocyte percentage was significantly lower compared with nonpregnant women. CONCLUSION: In some respects, the clinical characteristics and laboratory test results of COVID-19 in pregnant patients seems to be distinctive from their nonpregnant counterparts. Appropriate advice and positive treatment might be critical to the prognosis when dealing with these pregnant patients. Pregnant patients with COVID-19 had their own positive clinical characteristics and special laboratory test results. Responsive medical advice and active treatment for those patients are critical to recovery.

Knowledge and attitudes of medical staff in Chinese psychiatric hospitals regarding COVID-19.

On March 11, 2020, the World Health Organization (WHO) declared the novel coronavirus COVID-19 a pandemic. There are patients in psychiatric hospitals in China who have been infected with COVID-19, however, the knowledge and attitudes of psychiatric hospital staff towards infectious diseases and their willingness to work during the COVID-19 outbreak has not yet been investigated. This study was performed to assess the knowledge and attitudes of medical staff in two Chinese mental health centers during the COVID-19 outbreak. We included 141 psychiatrists and 170 psychiatric nurses in the study. We found that during the COVID-19 epidemic, 89.51% of the medical staff of the psychiatric hospitals studied had extensive knowledge of COVID-19, and 64.63% of them received the relevant training in hospitals. Furthermore, about 77.17% of participants expressed a willingness to care for psychiatric patients suffering from COVID-19 virus infection. Independent predictors of willingness to care for patients included advanced training and experience of caring for patients with COVID-19. In conclusion, this study suggests that increased attention should be paid to the knowledge and attitudes of medical staff at psychiatric hospitals during the COVID-19 outbreak.