Examining employees' affective and behavioral responses to internal crisis communication in times of COVID-19.

Communication is an essential component of crisis management strategies in hospitality and tourism. This study aimed to build on the integrated internal crisis communication framework. This study employed qualitative and quantitative data collection methods. Following a preliminary qualitative study, a conceptual model was developed and tested with a total of 806 responses. The results showed that the approach and content of internal crisis communication messages directly affected employees' evaluations of their organizations' crisis management efforts and their psychological safety, both of which further affected their perceived social resilience and turnover intentions. Furthermore, the results of multigroup analyses revealed the different impacts of internal crisis communication on participants who were in full-time positions vs. part-time positions and salaried employees vs. hourly employees. Finally, theoretical and practical implications were provided based on the research findings.

Evaluation of Early Warning Scores on In-Hospital Mortality in COVID-19 Patients: A Tertiary Hospital Study from Taiwan.

Coronavirus disease 2019 (COVID-19) remains a global pandemic. Early warning scores (EWS) are used to identify potential clinical deterioration, and this study evaluated the ability of the Rapid Emergency Medicine score (REMS), National Early Warning Score (NEWS), and Modified EWS (MEWS) to predict in-hospital mortality in COVID-19 patients. This study retrospectively analyzed data from COVID-19 patients who presented to the emergency department and were hospitalized between 1 May and 31 July 2021. The area under curve (AUC) was calculated to compare predictive performance of the three EWS. Data from 306 COVID-19 patients (61 ± 15 years, 53% male) were included for analysis. REMS had the highest AUC for in-hospital mortality (AUC: 0.773, 95% CI: 0.69-0.85), followed by NEWS (AUC: 0.730, 95% CI: 0.64-0.82) and MEWS (AUC: 0.695, 95% CI: 0.60-0.79). The optimal cut-off value for REMS was 6.5 (sensitivity: 71.4%; specificity: 76.3%), with positive and negative predictive values of 27.9% and 95.4%, respectively. Computing REMS for COVID-19 patients who present to the emergency department can help identify those at risk of in-hospital mortality and facilitate early intervention, which can lead to better patient outcomes.

Consumers' dining behaviors during the COVID-19 pandemic: an application of the Protection Motivation Theory and the Safety Signal Framework

With the long-lasting impacts of the COVID-19 pandemic, it is critically important that restaurateurs understand predictors of consumers' dining behaviors to better foster strategies to recover their revenue during the re-opening stage. Based on the Safety Signal Framework and the Protection Motivation Theory, this study developed and tested a model investigating the combined effects of restaurateurs' measures and consumers' protective motivations on their dine-out frequencies and dine-in likelihoods. Consistent with propositions of the Protection Motivation Theory, the results confirmed that both the threat and coping appraisals influenced consumers' dining behaviors. The coping appraisal process is affected by "access to servicescape," "servicescape," and "communication." Additionally, the results of the gap analysis revealed four safety signaling strategies perceived as effective by consumers but with a low implementation rate in the restaurant industry. Theoretical and practical implications were provided to restaurateurs.

A Simulation-Based Evaluation of a Cargo-Hitching Service for E-Commerce Using Mobility-on-Demand Vehicles

Time-sensitive parcel deliveries—shipments requested for delivery in a day or less—are an increasingly important aspect of urban logistics. It is challenging to deal with these deliveries from a carrier perspective. These require additional planning constraints, preventing the efficient consolidation of deliveries that is possible when demand is well known in advance. Furthermore, such time-sensitive deliveries are requested to a wider spatial scope than retail centers, including homes and offices. Therefore, an increase in such deliveries is considered to exacerbate negative externalities, such as congestion and emissions. One of the solutions is to leverage spare capacity in passenger transport modes. This concept is often denominated as cargo hitching. While there are various system designs, it is crucial that such a solution does not deteriorate the quality of service of passenger trips. This research aims to evaluate the use of mobility-on-demand (MOD) services that perform same-day parcel deliveries. To test the MOD-based solutions, we utilize a high-resolution agent- and activity-based simulation platform of passenger and freight flows. E-commerce demand carrier data collected in Singapore are used to characterize simulated parcel delivery demand. We explore operational scenarios that aim to minimize the adverse effects of fulfilling deliveries with MOD service vehicles on passenger flows. Adverse effects are measured in fulfillment, wait, and travel times. A case study on Singapore indicates that the MOD services have potential to fulfill a considerable amount of parcel deliveries and decrease freight vehicle traffic and total vehicle kilometers travelled without compromising the quality of MOD for passenger travel. Insights into the operational performance of the cargo-hitching service are also provided.

Survivors of COVID-19 exhibit altered amplitudes of low frequency fluctuation in the brain: a resting-state functional magnetic resonance imaging study at 1-year follow-up.

Although some short-term follow-up studies have found that individuals recovering from coronavirus disease 2019 (COVID-19) exhibit anxiety, depression, and altered brain microstructure, their long-term physical problems, neuropsychiatric sequelae, and changes in brain function remain unknown. This observational cohort study collected 1-year follow-up data from 22 patients who had been hospitalized with COVID-19 (8 males and 11 females, aged 54.2 ± 8.7 years). Fatigue and myalgia were persistent symptoms at the 1-year follow-up. The resting state functional magnetic resonance imaging revealed that compared with 29 healthy controls (7 males and 18 females, aged 50.5 ± 11.6 years), COVID-19 survivors had greatly increased amplitude of low-frequency fluctuation (ALFF) values in the left precentral gyrus, middle frontal gyrus, inferior frontal gyrus of operculum, inferior frontal gyrus of triangle, insula, hippocampus, parahippocampal gyrus, fusiform gyrus, postcentral gyrus, inferior parietal angular gyrus, supramarginal gyrus, angular gyrus, thalamus, middle temporal gyrus, inferior temporal gyrus, caudate, and putamen. ALFF values in the left caudate of the COVID-19 survivors were positively correlated with their Athens Insomnia Scale scores, and those in the left precentral gyrus were positively correlated with neutrophil count during hospitalization. The long-term follow-up results suggest that the ALFF in brain regions related to mood and sleep regulation were altered in COVID-19 survivors. This can help us understand the neurobiological mechanisms of COVID-19-related neuropsychiatric sequelae. This study was approved by the Ethics Committee of the Second Xiangya Hospital of Central South University (approval No. 2020S004) on March 19, 2020.

Computational Design of Potent D-Peptide Inhibitors of SARS-CoV-2.

Blocking the association between the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein receptor-binding domain (RBD) and the human angiotensin-converting enzyme 2 (ACE2) is an attractive therapeutic approach to prevent the virus from entering human cells. While antibodies and other modalities have been developed to this end, d-amino acid peptides offer unique advantages, including serum stability, low immunogenicity, and low cost of production. Here, we designed potent novel D-peptide inhibitors that mimic the ACE2 α1-binding helix by searching a mirror-image version of the PDB. The two best designs bound the RBD with affinities of 29 and 31 nM and blocked the infection of Vero cells by SARS-CoV-2 with IC50 values of 5.76 and 6.56 µM, respectively. Notably, both D-peptides neutralized with a similar potency the infection of two variants of concern: B.1.1.7 and B.1.351 in vitro. These potent D-peptide inhibitors are promising lead candidates for developing SARS-CoV-2 prophylactic or therapeutic treatments.

Antibodies Targeting Two Epitopes in SARS-CoV-2 Neutralize Pseudoviruses with the Spike Proteins from Different Variants.

The COVID-19 pandemic was caused by SARS-CoV-2 infection. To prevent the spread of SARS-CoV-2, an effective vaccine is required. Two linear peptides from potential B-cell epitopes in the spike protein of SARS-CoV-2 (a.a. 440-460; a.a. 494-506) were synthesized and used to immunize rabbits. High-titer antibodies of IgG were produced, purified, and verified by Western blot analysis. Antibodies against these two epitopes could effectively neutralize SARS-CoV-2 pseudoviral particles with the spike proteins from not only the original strain (basal; wild-type), but also a strain with a single point mutation (D614G), and two other emerging variants (the Alpha and Beta variants) prevalent around the world, but not from SARS-CoV. In conclusion, antibodies against these two epitopes are protective. This information is important for the development of vaccines against SARS-CoV-2.

COVID-19 pandemic's effects on the quality of pregnant women's emergency treatment: Review of two cases from a medical center in northern Taiwan.

The spread of COVID-19 has resulted in a high risk of infection in hospitals worldwide. The medical staff in emergency rooms, in particular, have borne the brunt of the pandemic, and strict protection measures are needed to avoid infection in these units. Taiwan as a whole has performed extremely well in this epidemic, an achievement that has been acknowledged internationally. This success can be attributed to the Taiwan Epidemic Prevention Management Center's extensive experience and courageous strategy. The emergency department professionals of all hospitals, in conjunction with the outstanding performance of the center's policy, have also done much to control the infection's spread. However, excessive protection can also negatively affect patients' safety and the quality of medical care, especially for pregnant and parturient women. This article uses two actual cases from a medical center in northern Taiwan to discuss the impact of COVID-19 on pregnant women. This case study serves to highlight that, to ensure more effective coordination during severe epidemics, a comprehensive infection prevention plan should be formulated. In addition, pregnant women's human rights must be safeguarded so that various protective mechanisms can be effectively used to achieve win-win solutions. Hospitals need to plan their production methods and timing in advance for when pregnant patients are in critical condition. The findings include that obstetricians recommend caesarean sections as a safer method in during epidemics. Emergency room physicians and obstetricians should also actively assist mothers prepare for birth to enhance maternal and fetal safety.

Understanding the COVID-19 pandemic from a gender perspective.

Under the threat of the new coronavirus pandemic, women have been uniquely impacted financially, economically, and socially. However, in terms of disease incidence and lethality, women perform better than men. The main reason is that, in addition to women's own hormonal protection, women's immune systems are superior to those of men. Women also exhibit more protective behavior (e.g., hand-washing) and more closely follow protection guidelines, which greatly reduces the chance of infection. In the future, more studies that adopt a gender perspective are needed to understand the various dilemmas faced by women in infectious diseases and pandemics; only then can women demonstrate better outcomes.

A review of vaccine effects on women in light of the COVID-19 pandemic.

The pandemic situation triggered by the spread of COVID-19 has caused great harm worldwide. More than six million people have been infected, and more than 360,000 of them have died. This is the worst catastrophe suffered by mankind in recent history. In the face of this severe disaster, people all over the world are frightened of the prospect of facing an outbreak or an annual recurrence. However, the development of a vaccine will help control the impact of COVID-19. Women in particular have been more seriously affected by the pandemic. Since the pressure and physical load they suffer are often greater than what men endure, women are more threatened by COVID-19. Though women have a poorer quality of life and work and face worse economic conditions, they also tend to have better physiological immunity than men, which can ease the effect of COVID-19. The early development of a vaccine against COVID-19 is an important issue that must take into consideration women's better immune response to the virus along with the technique of hormone regulation. Relevant research has been conducted on female-specific vaccines in the past, and women's issues were considered during those clinical trials to ensure that complications and antibody responses were positive and effective in women. National policies should also propose good strategies for women to be vaccinated. This could improve consciousness, give women a better vaccination experience, enhance their willingness to vaccinate, and protect them from COVID-19 infection.

The influences of the COVID-19 pandemic on medical service behaviors.

The outbreak of the novel coronavirus (COVID-19) has greatly impacted medical services worldwide. In addition to changing the processes used by hospital medical services, it has also changed the behaviors of medical staff, resulting in a completely different appearance. Fear of being infected with COVID-19 makes patients fear entering hospitals, and hospitals must repeatedly screen patients prior to entry in order to confirm that they are not infected. Patients are then separated according to their symptoms and travel, occupation, contact and cluster histories (TOCC), which seriously affects them. In addition, hospitals have invested a lot of money into the whole visiting process and into the equipment required to prevent the spread or lessen the impact of COVID-19.

Management of Atrial Fibrillation in COVID-19 Pandemic.

The health crisis due to coronavirus disease 2019 (COVID-19) has shocked the world, with more than 1 million infections and casualties. COVID-19 can present from mild illness to multi-organ involvement, but especially acute respiratory distress syndrome. Cardiac injury and arrhythmias, including atrial fibrillation (AF), are not uncommon in COVID-19. COVID-19 is highly contagious, and therapy against the virus remains premature and largely unknown, which makes the management of AF patients during the pandemic particularly challenging. We describe a possible pathophysiological link between COVID-19 and AF, and therapeutic considerations for AF patients during this pandemic.