关键词： COVID-19   Social networks   SMS   Incentives   Zambia   Health   BEHAVIOR  

摘要： During public health emergencies, spreading accurate information and increasing adherence to recommended behaviors is critical for communal welfare. However, uncertainty, mistrust, and misinformation can slow the adoption of best practices. Preexisting social networks can amplify and endorse information from authorities, and technology makes peer-to-peer messaging scalable and fast. Using text messages and small cash incentives, we test a peer-based information campaign to encourage adherence to recommended COVID-19-related health behaviors in Zambia. None of the treatments affected health behavior among primary study participants or their peers. The suggestion to pass messages to peers increases dissemination, but financial incentives do not have any additional impact.

关键词： ACE2   COVID-19   protein engineering   MSCs   ANGIOTENSIN-CONVERTING ENZYME   MESENCHYMAL STEM-CELLS   SARS-COV   EXPRESSION   HEART   OVEREXPRESSION   RESISTANCE   DISEASE  

摘要： Transduced MSCs that express engineered ACE2 could be highly beneficial to combat COVID-19. Engineered ACE2 can act as decoy targets for the virus, preventing its entry into healthy lung cells. To this end, genetic engineering techniques were used to integrate the ACE2 gene into the MSCs genome. The MSCs were evaluated for proper expression and functionality. The mutated form of ACE2 was characterized using various techniques such as protein expression analysis, binding affinity against spike protein, thermal stability assessment, and enzymatic activity assays. The functionality of the mACE2 was assessed on SARS-CoV-2 using the virus- neutralizing test. The obtained results indicated that by introducing specific mutations in the ACE2 gene, the resulting mutant ACE2 had enhanced interaction with viral spike protein, its thermal stability was increased, and its enzymatic function was inhibited as a decoy receptor. Moreover, the mACE2 protein showed higher efficacy in the neutralization of the SARS-CoV-2. In conclusion, this study proposes a novel approach with potential benefits such as targeted drug delivery and reduced side effects on healthy tissues. These transduced MSCs can also be used in combination with other anti-COVID-19 treatments. Design of similar engineered biomolecules with desired properties could also be used to target other diseases.

关键词： ACADEMIES   GUIDE  

摘要： BackgroundMinimal research has explored the pandemic's impact on health professions educators (HPEs). Given that health professions educator academies provide centralised support and professional development to HPEs through communities of practice and promoting education at their institutions, it is important to examine how academies met HPEs' needs during the pandemic. This study investigates the COVID-19 pandemic's effects on HPEs and examines how academies supported HPEs' educational roles during the *** a mixed-methods approach, the authors surveyed United States educator academy members on changes in HPEs' activities, emphasising clinical and educational tasks and work-life integration. Participants shared their academies' innovations and support responses. Data were analysed using chi-square and content *** percent of 2784 recipients (n = 559) completed the survey. Most respondents indicated the pandemic caused them to spend more time on clinical and education leadership/administration than before the pandemic. HPEs integrated innovative instructional strategies, yet many shifted away from teaching, mentoring and scholarship. Over half were dissatisfied with work-life integration during the pandemic. Females, especially, reported that professional work was compromised by personal caregiving. Academies increased their range of member services; however, they did not fully meet their members' needs, including providing expanded professional development and advocating on HPE's behalf for increased protected time dedicated to educator *** faced unprecedented challenges in their personal and professional lives during the COVID-19 pandemic. Neglecting the needs of HPEs amidst global crises poses a substantial threat to the quality of education for upcoming generations of health care professionals.

关键词： COVID-19   Transformer   Optimizer   Stochastic configuration networks  

摘要： Building upon pre-trained ViT models, many advanced methods have achieved significant success in COVID-19 classification. Many scholars pursue better performance by increasing model complexity and parameters. While these methods can enhance performance, they also require extensive computational resources and extended training times. Additionally, the persistent challenge of overfitting, due to limited COVID-19 dataset sizes, remains a hurdle. To address these challenges, we proposed a novel method to optimize pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks (SCNs), referred to as OPT-CO. We proposed two optimization methods: sequential optimization (SeOp) and parallel optimization (PaOp), by incorporating optimizers in a sequential and parallel manner, respectively. Our method can enhance model performance without necessitating a significant parameter expansion. Additionally, we introduced OPT-CO-SCN to avoid overfitting problems through the adoption of random projection for head augmentation. The experiments were carried out to evaluate the performance of our proposed model based on two publicly available datasets. Based on the evaluation results, our method achieved superior, performance surpassing other state-of-the-art methods.

关键词： WEAK INSTRUMENTS   REMITTANCES   MIGRATION   COMMUNITIES   ECONOMICS  

摘要： The US and Mexican labor markets are closely linked through migrant workers and remittances, and changes in remittance flow may alter labor allocations in the origin households. In this paper, we investigate how the prevalence of COVID-19 in the United States affected the local labor market in Mexico. We construct a Mexican municipality-level measure of exposure to COVID-19 in the United States using data on COVID-19 prevalence across the country and data on migrants' destinations in various states. We find a positive effect of COVID-19 exposure in the United States on hours worked among workers in Mexico, yet no significant effects were found for local wages. We also find that the effect varies across subgroups, which indicates that the responses in hours worked depend on household dynamics, the nature of the occupation-specific tasks, and migration intensity. Finally, we document the potential mechanism behind the effect on hours worked, that is, through the changes in remittances sent to the origin municipalities in Mexico.

关键词： Consumer behaviour   Travel substitution   E-shopping   Multivariate probit modal   IN-STORE   EMPIRICAL-EVIDENCE   INTERNET   CHANNEL   RETAIL  

摘要： This research focuses on understanding the impact of the type of shopping activity (general shopping goods, grocery, prepared meals) on shopping channel (in-person vs. online shopping) preferences. To better understand consumer decisions in the post-COVID era, this study used a large-scale consumer behaviour survey in New Delhi, India, with 1798 respondents to develop multivariate ordered probit models (MORP) involving in-person shopping travel frequencies (INFs) and online delivery frequencies (ONFs). Considering the online and physical shopping decision counterparts in a joint modelling framework enabled us to quantify the determinants of online shopping and in-person shopping frequencies and how they vary across consumption categories. The influences of demographic characteristics (e.g., car ownership, income, mode choice) and attitudes (e.g., tech-savviness, attitude towards perceived risks of online shopping) were delineated in the analysis by treating them as exogenous predictors. The model estimation results and discussions in this study are expected to help advance the understanding of how the emergence of online shopping and delivery-based services are influencing activity-travel patterns and choices in the aftermath of the pandemic.

关键词： working from home   discrete choice   information provision experiment   occupational exposures  

摘要： We investigate how subjective and objective assessment of COVID-19 risks affect preferences toward working from home (WFH) and whether informing workers about the level of exposure to contagion in their occupation affects these preferences. In the summer of 2021, we conducted a discrete choice experiment combined with an information provision experiment with more than 11 000 workers in Poland. Estimating willingness to pay for WFH, we find that, on average, workers' are willing to give up 3.2%, 95% CI [2.8%; 3.6%] of earnings for such an option. The subjective assessment of COVID-19 risk matters as workers who perceive COVID-19 as a threat are willing to sacrifice a higher share of earnings for WFH than those who do not (4.1%, vs. 1.3% [p<0.00]). However, the preferences toward WFH differ to a smaller extent between workers in occupations with high or low exposure to COVID-19 [3.8% vs. 2.7%, p=0.01]. Informing workers about occupational exposure to contagion generally does not affect preferences toward WFH.

关键词： Elective surgery   Scheduling   COVID-19 impact   Multi-resource constraints   Optimization techniques  

摘要： The COVID-19 pandemic profoundly affects elective surgery and healthcare resources. Efficient management of resources, like ward capacity and operating theaters, is crucial. The operations research community explores solutions, notably leveraging artificial intelligence, to address scheduling challenges amid COVID-19 restrictions. In this situation, applying AI becomes essential to getting the best results. In this paper, we address the problem of daily scheduling elective surgeries while accounting for hospital ward capacity. It is possible to reduce this issue to a scheduling puzzle that, given a variety of restrictions, resembles a four-stage hybrid flow shop. These limitations include the availability of resources, patient flow control, wait time avoidance, patient prioritizing, and resource coordination. With the crucial aid of artificial intelligence, our main goal is to assign patients to different surgical resources to minimize the length of time they spend on average in the hospital ward. We suggest putting into practice effective optimization strategies that make use of AI-based algorithms, particularly the variable neighborhood search (VNS) and variable neighborhood descent (VND) algorithms, which are inextricably linked with artificial intelligence concepts. Our studies demonstrate the effectiveness and efficiency of the general VNS in addressing the daily elective surgical scheduling issue (SSP) with the priceless assistance of artificial intelligence. The experiments are based on novel data instances that were inspired by current literature guidelines. The test results conclusively demonstrate the ability of our algorithms to find virtually perfect solutions. Moreover, our results highlight that the use of these methods, strengthened by AI, can significantly increase the size of the solved issue by a remarkable factor of 19.54. In light of the current COVID-19 pandemic, AI thus becomes a key factor in optimizing the scheduling of elective surgeries and

关键词： SYNTHETIC CONTROL METHODS   TRANSFERS   ABUSE   CASH  

摘要： A large literature has explored the effect of the COVID-19 pandemic on intimate partner violence (IPV) worldwide. However, few studies provide clear evidence on the mechanisms through which the pandemic exacerbated violence, and many rely on hotline or police report data, which confounds changes in reporting behavior. Our paper addresses this issue by conducting a large nationwide survey in Peru, a country that has been hit particularly hard by COVID-19. We isolate pandemic-related economic shocks based on geographic variation in the industry composition of employment shocks and find a sizable and sustained increase in IPV, which aligns with the patterns found in helpline calls. Households most likely to lose a job experienced the largest increases in IPV. These patterns indicate that economic losses were an integral causal mechanism through which COVID-19 increased IPV.

关键词： Abdala COVID-19 vaccine   Immunogenicity   Anti-spike antibody   Neutralizing antibody   Cross-neutralization  

摘要： Objectives: We studied the immunogenicity after primary and booster vaccinations of the Abdala COVID19 vaccine, a receptor-binding domain protein subunit vaccine, in Vietnamese people by determining the level of neutralization and cross-neutralization activities against the ancestral SARS-CoV-2 and its variants and SARS-CoV-1. Methods: We performed a prospective observational study, enrolling adults aged 19-59 years in Dong Thap province, southern Vietnam, and collected blood samples from baseline until 4 weeks after the booster dose. We measured anti-nucleocapsid, anti-spike, and neutralizing antibodies against SARS-CoV-2 and assessed the cross-neutralization against 14 SARS-CoV-2 variants and SARS-CoV-1. Complementary antibody data came from Vietnamese health care workers fully vaccinated with ChAdOx1-S. Results: After primary vaccination, anti-spike antibody and neutralizing antibodies were detectable in 98.4% and 87% of 251 study participants, respectively, with neutralizing antibody titers similar to that induced by ChAdOx1-S vaccine. Antibody responses after a homologous (Abdala COVID-19) or heterologous (messenger RNA BNT162b2) booster could neutralize 14 SARS-CoV-2 variants (including Omicron) and SARS-CoV-1. Conclusions: Abdala COVID-19 vaccine is immunogenic in Vietnamese people. Enhanced antibody response after a booster dose could cross-neutralize 14 SARS-CoV-2 variants and SARS-CoV-1. Our results have added to the growing body of knowledge about the contribution of protein subunit vaccine platforms to pandemic control. (c) 2024 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. This is an open access article under the CC BY license ( http://***/licenses/by/4.0/ )