Swine acute diarrhoea syndrome coronavirus (SADS-CoV) Nsp5 antagonizes type I interferon signaling by cleaving DCP1A.

Swine acute diarrhoea syndrome coronavirus (SADS-CoV), which is a recently discovered enteric coronavirus, is the major aetiological agent that causes severe clinical diarrhoea and intestinal pathological damage in pigs, and it has caused significant economic losses to the swine industry. Nonstructural protein 5, also called 3C-like protease, cleaves viral polypeptides and host immune-related molecules to facilitate viral replication and immune evasion. Here, we demonstrated that SADS-CoV nsp5 significantly inhibits the Sendai virus (SEV)-induced production of IFN-ß and inflammatory cytokines. SADS-CoV nsp5 targets and cleaves mRNA-decapping enzyme 1a (DCP1A) via its protease activity to inhibit the IRF3 and NF-κB signaling pathways in order to decrease IFN-ß and inflammatory cytokine production. We found that the histidine 41 and cystine 144 residues of SADS-CoV nsp5 are critical for its cleavage activity. Additionally, a form of DCP1A with a mutation in the glutamine 343 residue is resistant to nsp5-mediated cleavage and has a stronger ability to inhibit SADS-CoV infection than wild-type DCP1A. In conclusion, our findings reveal that SADS-CoV nsp5 is an important interferon antagonist and enhance the understanding of immune evasion by alpha coronaviruses.

How final year high school students' depression develop during COVID-19 in China? A latent class growth modeling analysis.

Depression increased sharply during the initial months of COVID-19, but how it developed over time is rarely explored, especially for adolescents. The current study measured depression of 605 final year high school students in China over 11 months in 4 waves. The latent growth curve modeling (LGCM) was used to examine overall trends in depression and latent class growth modeling (LCGM) was used to identify potential subgroups of adolescents' depressive trajectories. At the same time, gender, life events, and rumination were included as time-invariant covariates. Overall, the development of depression in the final year of high school students showed a slight downward trend. Meanwhile, the depression trajectories showed heterogeneity, and three categories of depression trajectories were identified, which were low-stable (24.3%), depression-risk (67.9%), and high-stable (7.8%). Neuroticism, rumination, and life events such as punishment and loss were found to significantly predict these trajectories of depression. This study helps to characterize differential depression trajectories among adolescents throughout the COVID-19 pandemic and establish several related predictors of the trajectory of depression.

Research progress of severe acute respiratory syndrome coronavirus 2 on aerosol collection and detection

In this review, research progress of severe acute respiratory syndrome coronavirus 2 on aerosol collection and detection are summarized, and the process of collecting and detecting is shown. Image, graphical abstract

Narcissistic Enough to Challenge: The Effect of Narcissism on Change-Oriented Organizational Citizenship Behavior.

During the COVID-19 pandemic, organizations need to effectively manage changes, and employees need to proactively adapt to these changes. The present research investigated when and how individual employees' narcissism was related to their change-oriented organizational citizenship behavior. Specifically, based on a trait activation perspective, this research proposed the hypotheses that individual employees' narcissism and environmental uncertainty would interactively influence employees' change-oriented organizational citizenship behavior via felt responsibility for constructive change; furthermore, the effect of narcissism on change-oriented organizational citizenship behavior via felt responsibility for constructive change would be stronger when the environmental uncertainty prompted by the COVID-19 pandemic was high rather than low. Two studies were conducted to test these hypotheses: an online survey of 180 employees in mainland China (Study 1) and a field study of 167 leader-follower dyads at two Chinese companies (Study 2). The current research reveals a bright side of narcissism, which has typically been recognized as a dark personality trait, and enriches the understanding of the antecedents of change-oriented organizational citizenship behavior. This research can also guide organizations that wish to stimulate employee proactivity.

Ultrasensitive electrochemical biosensors based on zinc sulfide/graphene hybrid for rapid detection of SARS-CoV-2.

The coronavirus disease 2019 (COVID-19) is a highly contagious and fatal disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In general, the diagnostic tests for COVID-19 are based on the detection of nucleic acid, antibodies, and protein. Among different analytes, the gold standard of the COVID-19 test is the viral nucleic acid detection performed by the quantitative reverse transcription polymerase chain reaction (qRT-PCR) method. However, the gold standard test is time-consuming and requires expensive instrumentation, as well as trained personnel. Herein, we report an ultrasensitive electrochemical biosensor based on zinc sulfide/graphene (ZnS/graphene) nanocomposite for rapid and direct nucleic acid detection of SARS-CoV-2. We demonstrated a simple one-step route for manufacturing ZnS/graphene by employing an ultrafast (90 s) microwave-based non-equilibrium heating approach. The biosensor assay involves the hybridization of target DNA or RNA samples with probes that are immersed into a redox active electrolyte, which are detectable by electrochemical measurements. In this study, we have performed the tests for synthetic DNA samples and, SARS-CoV-2 standard samples. Experimental results revealed that the proposed biosensor could detect low concentrations of all different SARS-CoV-2 samples, using such as S, ORF 1a, and ORF 1b gene sequences as targets. This microwave-synthesized ZnS/graphene-based biosensor could be reliably used as an on-site, real-time, and rapid diagnostic test for COVID-19. Supplementary Information: The online version contains supplementary material available at 10.1007/s42114-023-00630-7.

Effect of psychotropics on the risk of COVID-19 in middle-aged and older adults.

Older adults have been markedly impacted by the coronavirus disease 19 (COVID-19) pandemic, and many reports have cited concerns regarding potential psychiatric sequelae of coronavirus disease (COVID-19), but the actual effects of psychotropics on the COVID-19 are unclear. In this study, multivariate logistic regression was used to evaluate associations between the prescription of psychotropics and the risk of SARS-CoV-2 infection, and COVID-19-related death among the participants who were tested for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) before October 18, 2021, in UK Biobank. The psychotropics included 18 types of medications. Among 168,173 participants who underwent testing for SARS-CoV-2 RNA, 30,577 (18.2%) were positive, and 14,284 (8.5%) participants used psychotropics. Among 30,577 participants who were infected with SARS-CoV-2, 1,181 (3.9%) were COVID-19-related deaths, and 2,542 (8.3%) participants used psychotropics. In multivariate logistic regression, psychotropics use was significantly associated with the risk of SARS-CoV-2 infection (odds ratio [OR], 0.95; 95% confidence interval [CI], 0.88-0.98), and COVID-19-related death (OR, 0.78; 95% CI, 0.64-0.98). Interestingly, the use of diazepam was significantly associated with a 31% lower risk of SARS-CoV-2 infection (OR, 0.69; 95% CI, 0.53-0.88). The use of sertraline was significantly associated with a 89% lower risk of COVID-19-related death (OR, 0.11; 95% CI, 0.02-0.39). In conclusion, our findings suggested that the use of psychotropics was associated with a lower risk of SARS-CoV-2 infection and COVID-19-related deaths.

Ultrasensitive electrochemical biosensors based on zinc sulfide/graphene hybrid for rapid detection of SARS-CoV-2

The coronavirus disease 2019 (COVID-19) is a highly contagious and fatal disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In general, the diagnostic tests for COVID-19 are based on the detection of nucleic acid, antibodies, and protein. Among different analytes, the gold standard of the COVID-19 test is the viral nucleic acid detection performed by the quantitative reverse transcription polymerase chain reaction (qRT-PCR) method. However, the gold standard test is time-consuming and requires expensive instrumentation, as well as trained personnel. Herein, we report an ultrasensitive electrochemical biosensor based on zinc sulfide/graphene (ZnS/graphene) nanocomposite for rapid and direct nucleic acid detection of SARS-CoV-2. We demonstrated a simple one-step route for manufacturing ZnS/graphene by employing an ultrafast (90 s) microwave-based non-equilibrium heating approach. The biosensor assay involves the hybridization of target DNA or RNA samples with probes that are immersed into a redox active electrolyte, which are detectable by electrochemical measurements. In this study, we have performed the tests for synthetic DNA samples and, SARS-CoV-2 standard samples. Experimental results revealed that the proposed biosensor could detect low concentrations of all different SARS-CoV-2 samples, using such as S, ORF 1a, and ORF 1b gene sequences as targets. This microwave-synthesized ZnS/graphene-based biosensor could be reliably used as an on-site, real-time, and rapid diagnostic test for COVID-19. Supplementary Information The online version contains supplementary material available at 10.1007/s42114-023-00630-7.

The Impact of Urban Facilities on Crime during the Pre- and Pandemic Periods: A Practical Study in Beijing.

The measures in the fight against COVID-19 have reshaped the functions of urban facilities, which might cause the associated crimes to vary with the occurrence of the pandemic. This paper aimed to study this phenomenon by conducting quantitative research. By treating the area under the jurisdiction of the police station (AJPS) as spatial units, the residential burglary and non-motor vehicle theft that occurred during the first-level response to the public health emergencies (pandemic) period in 2020 and the corresponding temporal window (pre-pandemic) in 2019 were collected and a practical study to Beijing was made. The impact of urban facilities on crimes during both periods was analyzed independently by using negative binomial regression (NBR) and geographical weight regression (GWR). The findings demonstrated that during the pandemic period, a reduction in the count and spatial concentration of both property crimes were observed, and the impact of facilities on crime changed. Some facilities lost their impact on crime during the pandemic period, while other facilities played a significant role in generating crime. Additionally, the variables that always kept a stable significant impact on crime during the pre- and pandemic periods demonstrated a heterogeneous impact in space and experienced some variations across the periods. The study proved that the strategies in the fight against COVID-19 changed the impact of urban facilities on crime occurrence, which deeply reshaped the crime patterns.

How urban versus rural residency relates to COVID-19 vaccine hesitancy: A large-scale national Chinese study.

RATIONALE: Although urban-rural residency has been shown to influence individual COVID-19 vaccine hesitancy, the differences between urban and rural China have yet to be uncovered. OBJECTIVE: This study aims to assess the current prevalence and factors associated with COVID-19 vaccine hesitancy in urban and rural areas and explore whether the rural versus urban residency is associated with COVID-19 vaccine hesitancy. METHODS: A national, cross-sectional, online survey among Chinese urban and rural adults (≥18 years old) was conducted from 6th to August 9, 2021. A questionnaire was used to collect data on sociodemographic factors, perceptions of the COVID-19 pandemic and vaccination status. A multivariable logistic regression model was used to identify the factors that influence COVID-19 vaccine hesitancy. Propensity score matching (PSM) analysis was performed to explore the association between urban versus rural residency and COVID-19 vaccine hesitancy. RESULTS: In total, 29,925 participants (80.56% urban participants) were recruited. Urban participants had a higher COVID-19 vaccine hesitancy than their rural counterparts (9.39% vs. 4.26%). After adjusting for potential confounders, we found that COVID-19 vaccine hesitancy among females was lower than that in males in both urban (aOR = 0.78, 95% CI [0.69-0.88]) and rural areas (aOR = 0.54, 95% CI [0.39-0.75]). The lack of trust towards vaccine producers was found to be associated with vaccine hesitancy among the urban participants (aOR = 2.76, 95% CI [2.22-3.43]). The rural floating population had a lower COVID-19 vaccine hesitancy than the rural permanent residents (aOR = 0.58, 95% CI [0.42-0.80]). PSM analysis revealed a 2.38% difference in COVID-19 vaccine hesitancy between urban and rural participants. CONCLUSIONS: Urban participants were more hesitant to receive the COVID-19 vaccine than rural participants. Priority should be placed on boosting confidence in the healthcare system to reduce COVID-19 vaccine hesitancy among urban residents. Furthermore, we advocate for extra incentives and vaccination education for rural permanent residents.

Development of fluorescent lateral flow immunoassay for SARS-CoV-2-specific IgM and IgG based on aggregation-induced emission carbon dots.

Understanding the dynamic changes in antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for evaluating the effectiveness of the vaccine and the stage for the recovery of the COVID-19 disease. A rapid and accurate method for the detection of SARS-CoV-2-specific antibodies is still urgently needed. Here, we developed a novel fluorescent lateral flow immunoassay (LFA) platform for the detection of SARS-CoV-2-specific IgM and IgG by the aggregation-induced emission carbon dots conjugated with the SARS-CoV-2 spike protein (SSP). The aggregation-induced emission carbon dots (AIE-CDs) are one of the best prospect fluorescent probe materials for exhibiting high emission efficiency in both aggregate and solid states. The AIE-CDs were synthesized and displayed dual fluorescence emission, which provides a new perspective for the design of a high sensitivity testing system. In this work, the novel LFA platform adopted the AIE carbon dots, which are used to detect SARS-CoV-2-specific IgM and IgG conveniently. Furthermore, this sensor had a low LOD of 100 pg/ml. Therefore, this newly developed strategy has potential applications in the areas of public health for the advancement of clinical research.

Development of fluorescent lateral flow immunoassay for SARS-CoV-2-specific IgM and IgG based on aggregation-induced emission carbon dots

Understanding the dynamic changes in antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for evaluating the effectiveness of the vaccine and the stage for the recovery of the COVID-19 disease. A rapid and accurate method for the detection of SARS-CoV-2-specific antibodies is still urgently needed. Here, we developed a novel fluorescent lateral flow immunoassay (LFA) platform for the detection of SARS-CoV-2-specific IgM and IgG by the aggregation-induced emission carbon dots conjugated with the SARS-CoV-2 spike protein (SSP). The aggregation-induced emission carbon dots (AIE-CDs) are one of the best prospect fluorescent probe materials for exhibiting high emission efficiency in both aggregate and solid states. The AIE-CDs were synthesized and displayed dual fluorescence emission, which provides a new perspective for the design of a high sensitivity testing system. In this work, the novel LFA platform adopted the AIE carbon dots, which are used to detect SARS-CoV-2-specific IgM and IgG conveniently. Furthermore, this sensor had a low LOD of 100 pg/ml. Therefore, this newly developed strategy has potential applications in the areas of public health for the advancement of clinical research.

Public Health System and Socio-Economic Development Coupling Based on Systematic Theory: Evidence from China

This paper focus on the quantitative measurement of public health systems and its mismatch with socio-economic development. Based on systematic theory, we divide the public health system into four sub-systems: resource inputs, planning in decision-making, operations, and service outputs. We also provide a method to analyse the ability to match between the public health system and social-economic development by using the grey correlation and coupling method. Then we introduce data from China as a case of empirical research. The main findings are as follows: (1) China’s public health system has progressed from 2012 to 2019, and the development of China’s public health system is typically “input-driven”. Second, the level of public health management in China lacks sustainability. (2) The main reason for this problem is the mismatch between the central and local governments in China in terms of public health management authority. (3) Third, the coupling between China’s public health system and socio-economics development has shown a decreasing trend, which indicates an increasingly significant mismatch problem between public health and economic growth, urbanization, and population aging. Our study will enrich the understanding of the relationship between the public health system and socio-economics development.

Detection and genetic characterization of novel infectious bronchitis viruses from recent outbreaks in broiler and layer chicken flocks in southern China, 2021.

Avian infectious bronchitis virus (IBV) is a prevalent RNA virus that causes respiratory distress, nephritis, salpingitis, and egg production decline in chickens, resulting in significant economic loss. IBV is composed of complex genotypes and serotypes, which poses a great challenge for disease control. The current study reports 2 IBV outbreaks which were characterized by respiratory symptoms in IBV vaccinated commercial broilers and layers in Guangdong, China, in 2021. Two IBV strains, ZH01 and HH09, were identified via a RT-PCR assay through targeting the N gene and further characterization through full-length spike (S) gene sequence analysis. Phylogenetic analysis of S1 gene revealed that both ZH01 and HH09 belonged to the GI-19 lineage but contained a certain genetic distance from the GI-19 strain. Of note, the ZH01 and HH09 strains share a low homology of 70 and 86%, respectively, with common vaccine strains (H120), resulting in low vaccine protection. Further recombination analysis based on the S1 sequence suggested the newly identified IBV strains emerged through an intragroup recombination events between CK/CH/SCDY2003-2 and I0305/19 from G1-19 lineage. In addition, a number of novel mutations such as T273I, T292A, and S331K were found in the emerging IBV strains. Taken together, this study reports the genetic characteristics of 2 recent IBV outbreaks in southern China and emphasizes the urgent need for enhanced surveillance and development of novel vaccines for the control of IBV.

Novel aerosol detection platform for SARS­CoV­2: Based on specific magnetic nanoparticles adsorption sampling and digital droplet PCR detection.

The SARS­CoV­2 virus is released from an infectious source (such as a sick person) and adsorbed on aerosols, which can form pathogenic microorganism aerosols, which can affect human health through airborne transmission. Efficient sampling and accurate detection of microorganisms in aerosols are the premise and basis for studying their properties and evaluating their hazard. In this study, we built a set of sub-micron aerosol detection platform, and carried out a simulation experiment on the SARS­CoV­2 aerosol in the air by wet-wall cyclone combined with immunomagnetic nanoparticle adsorption sampling and ddPCR. The feasibility of the system in aerosol detection was verified, and the influencing factors in the detection process were experimentally tested. As a result, the sampling efficiency was 29.77%, and extraction efficiency was 98.57%. The minimum detection limit per unit volume of aerosols was 250 copies (102 copies/mL, concentration factor 2.5).

Perceived Quality of Traditional Chinese Medicine Care in Community Health Services: A Cross-Sectional Survey in Hangzhou of China.

Background: Traditional Chinese medicine (TCM) is an integral part of the mainstream health care system in China. Public community health services are required by the government to deliver TCM services. This study aimed to assess patient perceived quality of TCM care in community health services. Methods: A cross-sectional questionnaire survey was conducted on 471 TCM users in four community health centers in Hangzhou. Respondents were asked to rate their experiences on a Likert scale about tangibility, reliability, responsiveness, assurance and empathy of the TCM services they received. Linear regression models were established to determine the sociodemographic and services factors associated with the ratings. Results: Average ratings on the five aspects of the TCM care ranged from 78 to 88 out of a possible 100, with assurance attracting the highest and empathy attracting the lowest score. Overall, higher perceived quality of TCM care (except for assurance) was associated with a choice of TCM in preference to western medicine. Those who reported higher cost (≥100 yuan) of TCM care rated higher on responsiveness and empathy of the care. But higher frequency of visits to community TCM services was associated with lower ratings on reliability, assurance and empathy. Those who received two or more TCM modalities also perceived lower tangible care. In addition, higher ratings on reliability and responsiveness were found in women. The respondents with a university qualification gave higher ratings on reliability and responsiveness; by contrast, those with a highest education of senior high school rated lower on assurance and empathy. Lower perceived tangibility and assurance was also associated with rural residency. Compared with those working in the public sector, the respondents from the retail and services sector gave a higher rating on assurance but a lower rating on empathy. Conclusion: Overall, the TCM users perceived high quality of TCM care in community health services in Hangzhou. However, there is a need to further improve TCM care from all quality perspectives in order to attract and maintain consumer trust in TCM.

Estimating unconfirmed COVID-19 infection cases and multiple waves of pandemic progression with consideration of testing capacity and non-pharmaceutical interventions: A dynamic spreading model.

The novel coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has unique epidemiological characteristics that include presymptomatic and asymptomatic infections, resulting in a large proportion of infected cases being unconfirmed, including patients with clinical symptoms who have not been identified by screening. These unconfirmed infected individuals move and spread the virus freely, presenting difficult challenges to the control of the pandemic. To reveal the actual pandemic situation in a given region, a simple dynamic susceptible-unconfirmed-confirmed-removed (D-SUCR) model is developed taking into account the influence of unconfirmed cases, the testing capacity, the multiple waves of the pandemic, and the use of non-pharmaceutical interventions. Using this model, the total numbers of infected cases in 51 regions of the USA and 116 countries worldwide are estimated, and the results indicate that only about 40% of the true number of infections have been confirmed. In addition, it is found that if local authorities could enhance their testing capacities and implement a timely strict quarantine strategy after identifying the first infection case, the total number of infected cases could be reduced by more than 90%. Delay in implementing quarantine measures would drastically reduce their effectiveness.

The association between lifestyle and COVID-19 vaccine hesitancy in China: A large-scale cross-sectional survey.

OBJECTIVE: To assess the association between lifestyle and COVID-19 vaccine hesitancy among Chinese adults and provide recommendations for increasing vaccination rates. METHODS: From August 6, 2021 to August 9, 2021, we recruited 29,925 participants from 31 Chinese provinces via an online questionnaire. We designed a question to assess COVID-19 vaccine hesitancy and used 16 items to assess lifestyle by calculating lifestyle scores. Odds ratios (OR) with 95 % confidence intervals (CI) were used to estimate the association by using binary logistic regression models. RESULTS: The overall prevalence of COVID-19 vaccine hesitancy was 8.40 % (95 % CI: 8.09-8.72), and the median lifestyle score was 65.00 (interquartile range: 59.00-71.00). After adjusting for potential confounders, the COVID-19 vaccine hesitancy rate decreased significantly with an increase in lifestyle score (P for Trend <0.001). Low COVID-19 vaccine hesitancy rate was associated with lifestyle factors including adequate sleep, never smoking, intermittent drinking, good relationships, working and studying, using hand sanitizer, wearing masks, less gathering activities, and keeping social distance (P < 0.05). CONCLUSION: Our findings indicate that high lifestyle score is associated with low vaccine hesitancy rate among Chinese. The government should view the smokers (or the drinkers) as the key to further boosting the vaccination rate. In addition, the publicity and education about wearing masks and keeping social distance should be prioritized.

Cost-effectiveness of interventions for the prevention and control of COVID-19: Systematic review of 85 modelling studies.

Background: We aimed to quantitatively summarise the health economic evaluation evidence of prevention and control programs addressing COVID-19 globally. Methods: We did a systematic review and meta-analysis to assess the economic and health benefit of interventions for COVID-19. We searched PubMed, Embase, Web of Science, and Cochrane Library of economic evaluation from December 31, 2019, to March 22, 2022, to identify relevant literature. Meta-analyses were done using random-effects models to estimate pooled incremental net benefit (INB). Heterogeneity was assessed using I2 statistics and publication bias was assessed by Egger's test. This study is registered with PROSPERO, CRD42021267475. Results: Of 16 860 studies identified, 85 articles were included in the systematic review, and 25 articles (10 studies about non-pharmacological interventions (NPIs), five studies about vaccinations and 10 studies about treatments) were included in the meta-analysis. The pooled INB of NPIs, vaccinations, and treatments were $1378.10 (95% CI = $1079.62, $1676.59), $254.80 (95% CI = $169.84, $339.77) and $4115.11 (95% CI = $1631.09, $6599.14), respectively. Sensitivity analyses showed similar findings. Conclusions: NPIs, vaccinations, and treatments are all cost-effective in combating the COVID-19 pandemic. However, evidence was mostly from high-income and middle-income countries. Further studies from lower-income countries are needed.