The effects of default nudges on promoting approval of welfare cuts: An exploration during COVID-19.

The global COVID-19 pandemic has created significant financial and operational challenges for some businesses. As a result, temporary welfare benefit reduction may be a tough but future-oriented choice for both employers and employees. The present study examined whether default nudges can be used to promote employees' approval of welfare-cutting policy while avoiding negative attitudes. Two online surveys were conducted during the first pandemic wave in China (February 2020). In the first study (N = 310), the participants were presented with a hypothetical welfare-cutting policy that used either an opt-in approach or an opt-out approach. We aimed to investigate how their approval and attitudes were different between two conditions. The results showed that the employees in the opt-out condition were more likely to accept the welfare-cutting policy than those in the opt-in condition, while participants' attitudes toward the policy employing opt-out approach were as negative as that employing opt-in approach. Study 2 (N = 1,519) involved a replication of Study 1 with two additional improved opt-out approaches (opt-out education and opt-out transparency). Compared with the opt-in approach and standard opt-out approach, the opt-out education approach both increased policy support and improved attitudes toward the welfare-cutting policy. The theoretical and practical implications of these findings are discussed.

Increasing rate of hospitalization for severe peptic ulcer in digestive disease emergencies after the pandemic.

Since December 2019, the novel coronavirus has spread worldwide, affecting more than 510 million people, with more than 6 million deaths. However, some of the potential effects of the pandemic have not been thoroughly studied. We collected data from 2 regional emergency centers from May to November for the years 2015 to 2019, before the pandemic, and from May to November 2020, after the pandemic. We evaluated the incidence of each major type of digestive disease before and after the pandemic in adults at the 2 hospitals, which experienced coronavirus disease 2019 outbreaks with varying severity. A total of 11,394 patients were enrolled in the study Affiliated Hospital of Putian University (PUTIAN, n = 5503) Union Hospital, Tongji Medical college, Huazhong University of Science and Technology (UNION, n = 5891), and the proportion of male patients was approximately the same at both hospitals, with 3360 (61.1%) and 3680 (62.5%), respectively. The average ages of the patients were 55.8 ±â€…18.4 years PUTIAN and 54.3 ±â€…15.8 years UNION. The numbers of patients at the 2 hospitals increased steadily, but in 2020, the number of patients at UNION declined. The baseline characteristics of the 2 groups at the 2 hospitals showed significant differences for age before and after the pandemic but not for sex. The constituent ratios of diseases in each year in the 2 hospitals differed. The number of patients with peptic ulcers in 2020 was significantly different from those in each year from 2015 to 2019 (PUTIAN 2015-2020, 15.0%, 18.2%, 14.9%, 16.9%, 19.5%, 34.9%; UNION 2015-2020, 29.2%, 32.5%, 29.3%, 29.4%, 29.7%, 41.3%, respectively). The rates of peptic ulcer increased dramatically in both hospitals in 2020. An increase in the incidence of severe peptic ulcer was observed after the pandemic compared to the same period before the pandemic. Therefore, these factors should be considered in the formulation of public health strategies and the allocation of medical resources in the post pandemic era.

Comprehensive bioinformatics analysis reveals common potential mechanisms, progression markers, and immune cells of coronary virus disease 2019 and atrial fibrillation

Objectives Atrial fibrillation (AF) is the most common arrhythmia in coronary virus disease 2019 (COVID-19) patients, especially in severe patients. A history of AF can exacerbate COVID-19 symptoms. COVID-19 Patients with new-onset AF have prolonged hospital stays and increased death risk. However, the mechanisms and targets of the interaction between COVID-19 and AF have not been elucidated. Materials and methods We used a series of bioinformatics analyses to understand biological pathways, protein-protein interaction (PPI) networks, gene regulatory networks (GRNs), and protein-chemical interactions between COVID-19 and AF and constructed an AF-related gene signature to assess COVID-19 severity and prognosis. Results We found folate and one-carbon metabolism, calcium regulation, and TFG-β signaling pathway as potential mechanisms linking COVID-19 and AF, which may be involved in alterations in neutrophil metabolism, inflammation, and endothelial cell function. We identified hug genes and found that NF-κb, hsa-miR-1-3p, hsa-miR-124-3p, valproic acid, and quercetin may be key regulatory molecules. We constructed a 3-gene signature consisting of ARG1, GIMAP7, and RFX2 models for the assessment of COVID-19 severity and prognosis, and found that they are associated with neutrophils, T cells, and hematopoietic stem cells, respectively. Conclusion Our study reveals a dysregulation of metabolism, inflammation, and immunity between COVID-19 and AF, and identified several therapeutic targets and progression markers. We hope that the results will reveal important insights into the complex interactions between COVID-19 and AF that will drive novel drug development and help in severity assessment.

Cellular basis of enhanced humoral immunity to SARS-CoV-2 upon homologous or heterologous booster vaccination analyzed by single-cell immune profiling.

SARS-CoV-2 vaccine booster dose can induce a robust humoral immune response, however, its cellular mechanisms remain elusive. Here, we investigated the durability of antibody responses and single-cell immune profiles following booster dose immunization, longitudinally over 6 months, in recipients of a homologous BBIBP-CorV/BBIBP-CorV or a heterologous BBIBP-CorV/ZF2001 regimen. The production of neutralizing antibodies was dramatically enhanced by both booster regimens, and the antibodies could last at least six months. The heterologous booster induced a faster and more robust plasmablast response, characterized by activation of plasma cells than the homologous booster. The response was attributed to recall of memory B cells and the de novo activation of B cells. Expanded B cell clones upon booster dose vaccination could persist for months, and their B cell receptors displayed accumulated mutations. The production of antibody was positively correlated with antigen presentation by conventional dendritic cells (cDCs), which provides support for B cell maturation through activation and development of follicular helper T (Tfh) cells. The proper activation of cDC/Tfh/B cells was likely fueled by active energy metabolism, and glutaminolysis might also play a general role in promoting humoral immunity. Our study unveils the cellular mechanisms of booster-induced memory/adaptive humoral immunity and suggests potential strategies to optimize vaccine efficacy and durability in future iterations.

Roles and Challenges for Village Doctors in COVID-19 Pandemic Prevention and Control in Rural Beijing, China: A Qualitative Study

Objectives Rural areas in China are more vulnerable to COVID-19 pandemic than urban areas, due to their far fewer health care resources. Village doctors, as rural grassroots health workers in China, have been actively engaged in the pandemic prevention and control. This study aims to describe the roles of village doctors in rural China, and the challenges they have faced during the prevention and control of the COVID-19 pandemic. Setting This study was conducted in three towns in Huairou District, Beijing, China. Design We carried out semi-structured interviews with 75 key informants. All the interviews were audio-recorded and transcribed verbatim. We employed thematic analysis to define themes and sub-themes from the qualitative data. Results We reported four themes. First, the village doctor guided the village committee to carry out decontamination, monitored home-isolated residents, and disseminated knowledge on prevention of the COVID-19 pandemic during the rural pandemic prevention and control. Second, they took pandemic prevention measures in village clinics, distributed pandemic prevention materials, and undertook pre-screening triage. Third, village doctors provided basic medical care, including treatment of common diseases as well as the purchase and delivery of medicines to villagers. Fourth, village doctors faced difficulties and challenges, such as inadequate medical skills, aging staff structure, and lack of pandemic prevention materials. Conclusions Despite many difficulties and challenges, village doctors have actively participated in rural pandemic prevention and control, and made outstanding contributions to curbing spread of COVID-19 pandemic in rural areas. Village doctors provide basic health care while participating in various non-medical tasks.

Opt-out policy and its improvements promote COVID-19 vaccinations.

RATIONALE: Vaccination uptake is a major strategy to prevent infection with SARS-CoV-2 and curb the transmission of COVID-19. However, many people remain unwilling to receive the COVID-19 vaccine. OBJECTIVE: Using default nudges, the present study examines (a) whether opt-out policy and its improvements could increase intention and attitude to get vaccinated and (b) whether these default effects differ across diverse risk-perception groups. METHOD: An online experiment with 1926 unvaccinated Chinese respondents was conducted in February 2021. We measured willingness to be vaccinated after informing opt-in policy, standard opt-out policy, and its five improvements (opt-out education, opt-out opportunity, opt-out social norm, opt-out feedback, and opt-out opportunity). Risk perception of the pandemic of COVID-19 and vaccination were also measured. RESULTS: (a) Opt-out policy and its improvement (except the opt-out transparency) increased intentions to be vaccinated. Policies with a vaccination default did not weaken people's attitude toward policy and policymakers compared with the opt-in policy, but participants in the transparent improvement group reported lower freedom of choice than those in the opt-out group. (b) Further latent profile analysis revealed four classes underlying risk perception: risk exaggerators, risk deniers, disease-specific risk perceivers, and vaccine-specific risk perceivers. But there was no conclusive evidence that the effect of risk perception differs as a function of defaults. CONCLUSIONS: These findings provide new psychological evidence for formulating more targeted vaccination policies and highlight the importance of risk perception to understand vaccination intentions.

Mutations and Phylogenetic Analyses of SARS-CoV-2 Among Imported COVID-19 From Abroad in Nanjing, China.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a pandemic and is threatening human health globally. The rapid genome sequencing and bioinformatic analysis of SARS-CoV-2 have become a helpful tool in the battle against the COVID-19. Here, we report the genetic characteristics, variations and phylogenetic analysis of SARS-CoV-2 sequenced from 42 clinical specimens. The complete genomes sequencing of SARS-CoV-2 were performed using Oxford Nanopore sequencing. All genomes accumulated mutations compared to the Wuhan-Hu-1 (GenBank Accession No: MN908947.3). Our data of the 42 whole genomes revealed 16 different lineages. The B.1.1 lineage was the most frequent, and 5, 2, 2, 3, and 1 sequences were classified as lineages of B.1.1.7, B.1.351, P.1, B.1.617.2, and C.37, respectively. A total of 328 nucleotide mutation sites were found in 42 genomes, among which A23403G mutation (D614G amino acid change in the spike protein) was the most common substitution. The phylogenetic trees of 42 SARS-CoV-2 sequences and GISAID-available SARS-CoV-2 sequences were constructed and its taxonomic status was supported. These results will provide scientific basis for tracing the source and prevention and control of SARS-CoV-2 imported from abroad in Nanjing, China.

Vaccinated or not? Survey on attitude toward 'approach-avoidance conflict' under uncertainty.

Vaccinated or not? This is an attitude survey for 'approach-avoidance conflict' under uncertainty. Therefore, measuring people's attitude toward COVID-19 vaccination is relatively distinctive from an attitude over a general conflict. An online survey of 3123 respondents from 30 provincial-level regions - out of 31 - on the Chinese mainland was conducted from January 22 to 27, 2021 to measure their willingness to be vaccinated. We found that over half of the respondents chose the options 'not to be vaccinated now' and 'wait and see before making a vaccination decision,' thereby indicating that people's willingness to be vaccinated is not as optimistic as anticipated in the early stage of vaccination in China. Hence, investigators should carefully select the measuring method to assess the 'true' levels of willingness to accept COVID-19 vaccines. Lastly, the relevant departments should fully predict obstacles to achieve immunity coverage and prepare for the 'vaccine hesitancy' of people in need.

Food-energy-water-waste nexus systems optimization for New York State under the COVID-19 pandemic to alleviate health and environmental concerns

This article addresses food-energy-water-waste nexus optimization to alleviate the public health and environmental concerns from increasing food waste generation during the COVID-19 pandemic using waste-to-energy technologies. Food waste increase has become a severe global problem during the pandemic. It could alleviate health and environmental concerns by converting the food waste into electricity and heat through food-energy-water-waste nexus systems using waste-to-energy facilities, such as anaerobic digesters and combined heat and power units in wastewater treatment plants. To design efficient nexus systems, a multi-period multi-objective optimization model is proposed, while considering various impacts of the pandemic. A case study for New York State is presented. The optimized systems show a potential of reducing the food waste disposal amounts by 38%. The Pareto-optimal solutions illustrate a clear trade-off between the objectives. The minimum total cost is $27.1 million;the optimal unit processing profit is $11.9 per ton processed food waste. Spatial analyses reveal a clear correlation between facility selections and their processing capacities. Electricity price and biogas yield are the most important factors for the economic objectives, based on sensitivity analysis.

The effect of emergency surgery on acute abdomen patients with COVID-19 pneumonia: a retrospective observational study.

During the COVID-19 outbreak, some patients with COVID-19 pneumonia also suffered from acute abdomen requiring surgical treatment; however, there is no consensus for the treatment of such patients. In this study, we retrospectively reviewed 34 patients with acute abdomen who underwent emergency surgery during the COVID-19 outbreak. Among the 34 patients with acute abdomen, a total of six cases were found with COVID-19 pneumonia (clinical classification for COVID-19 pneumonia: all were the common type). On the premise of similar demographics between both groups, patients with COVID-19 pneumonia had worse indicators of liver and coagulation function. Compared with acute abdomen patients without COVID-19, patients with COVID-19 pneumonia had a longer hospital stay, but there were no significant differences in postsurgical complications (P = 0.58) or clinical outcomes (P = 0.56). In addition, an obvious resolution of lung inflammation after surgery was observed in five COVID-19 patients (83.3%). No new COVID-19 cases occurred during the patients' hospital stays. Therefore, for the common type of COVID-19 pneumonia, emergency surgery could not only improve the outcomes of COVID-19 pneumonia patients with acute abdomen, but also benefit the resolution of pulmonary inflammation.

Chinese mental health burden during the COVID-19 pandemic.

We aimed to assess the Chinese mental health burden during the COVID-19 pandemic. Data were collected from 7,236 participants assessed with anxiety disorders, depressive symptoms, and poor sleep . The overall prevalence of anxiety disorders, depressive symptoms, sleep quality were 35.1%, 20.1%, 18.2%, respectively. Younger people reported a higher prevalence of anxiety disorders and depressive symptoms than older people (P < 0.001). Compared with other occupation, healthcare workers have the highest rate of poor sleep quality (P < 0.001). We identified a major mental health burden of the public during the COVID-19 pandemic outbreak in China. Younger people and healthcare workers were at high risk for mental illness.

Mental health burden for the public affected by the COVID-19 outbreak in China: Who will be the high-risk group?

In December, 2019, an outbreak of respiratory illness caused by Coronavirus disease 2019 (COVID-19) emerged in Wuhan, China and spread rapidly to other parts of China and around the world. We aimed to identify high-risk groups whose mental health conditions were vulnerable to the COVID-19 outbreak. Data were collected from 7,236 self-selected participants measured by anxiety symptoms, depressive symptoms, and sleep quality. The overall prevalence of anxiety symptoms, depressive symptoms, and poor sleep quality were 35.1%, 20.1%, and 18.2%, respectively. People aged < 35 years reported a higher prevalence of anxiety symptoms and depressive symptoms than people aged ≥ 35 years. Healthcare workers have the highest rate of poor sleep compared to other occupations. Healthcare workers/younger people who spent a high level of time (≥ 3 hours/day) had a particular higher prevalence of anxiety symptoms than in those who spent less time (< 1 hours/day and 1-2 hours/day) on the outbreak. During the COVID-19 outbreak, healthcare workers and younger people were at an especially high-risk of displaying psychological impact when they spent too much time thinking about the outbreak. Continuous monitoring of the psychological consequences for high-risk population should become routine as part of targeted interventions during times of crisis.I.

Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey.

China has been severely affected by Coronavirus Disease 2019(COVID-19) since December, 2019. We aimed to assess the mental health burden of Chinese public during the outbreak, and to explore the potential influence factors. Using a web-based cross-sectional survey, we collected data from 7,236 self-selected volunteers assessed with demographic information, COVID-19 related knowledge, generalized anxiety disorder (GAD), depressive symptoms, and sleep quality. The overall prevalence of GAD, depressive symptoms, and sleep quality of the public were 35.1%, 20.1%, and 18.2%, respectively. Younger people reported a significantly higher prevalence of GAD and depressive symptoms than older people. Compared with other occupational group, healthcare workers were more likely to have poor sleep quality. Multivariate logistic regression showed that age (< 35 years) and time spent focusing on the COVID-19 (≥ 3 hours per day) were associated with GAD, and healthcare workers were at high risk for poor sleep quality. Our study identified a major mental health burden of the public during the COVID-19 outbreak. Younger people, people spending too much time thinking about the outbreak, and healthcare workers were at high risk of mental illness. Continuous surveillance of the psychological consequences for outbreaks should become routine as part of preparedness efforts worldwide.