The benefits of different levels of engagement with test, trace and isolate procedures are investigated for a pandemic in which there is little population immunity, in terms of productivity and public health. Simple mathematical modelling is used in the context of a single, relatively closed workplace such as a factory or back-office where, in normal operation, each worker has lengthy interactions with a fixed set of colleagues. A discrete-time SEIR model on a fixed interaction graph is simulated with parameters that are motivated by the recent COVID-19 pandemic in the UK during a post-peak phase, including a small risk of viral infection from outside the working environment. Two kinds of worker are assumed, transparents who regularly test, share their results with colleagues and isolate as soon as a contact tests positive for the disease, and opaques who do none of these. Moreover, the simulations are constructed as a 'playable model' in which the transparency level, disease parameters and mean interaction degree can be varied by the user. The model is also analysed in the continuum limit. All simulations point to the double benefit of transparency in both maximizing productivity and minimizing overall infection rates. Based on these findings, public policy implications are discussed for how to incentivise this mutually beneficial behaviour in different kinds of workplace, and simple recommendations are made.

Rationale: Our pilot study suggested that coexisting cerebrovascular diseases on admission with respiratory rate greater than 24 breaths per min, and LDH greater than 245U/L may be risk factors for death among hospitalized COVID-19 patients in Henan province, China. Whether these risk factors are associated with severe illness in inpatiente with COVID-19 is yet unclear. Background: To explore risk factors associated with severe cases in hospitalized COVID-19 patients in Henan province, China Methods: : This study was a multicenter retrospective cohort study. A total of 112 patients with COVID-19 were admitted to Henan Provincial People's Hospital and Anyang Infectious Disease Hospital from February 3 to March 31, 2020. These patients were confirmed by SARS-CoV-2 nucleic acid test. Demographic, epidemiological, clinical and laboratory data, imaging changes, and definite severity typing of illness (severe cases or non-severe cases) were extracted from electronic medical records and compared between severe cases and non-severe cases. Univariate and multivariate logistic regression methods were used to explore the risk factors associated with in-hospital severe cases. Results: A total of 104 patients (55 from Henan Provincial People's Hospital and 57 from Anyang Infectious Disease Hospital) were included in this study, of whom 62 (59.6%) were non-severe cases and 42 (40.4%) were severe cases. Multivariate regression showed increasing odds of in-hospital severe cases associated with age 365 years (odds ratio 6.535 [95% CI, 1.365-31.295];p=0.019), coexisting diabetes (11.165 [1.142-109.172], p=0.038), cough (17.494 [2.971-102.995];p=0.002), increased procalcitonin (0.05-0.25ng/L) (9.640 [2.162-42.982];p=0.003) and LDH greater than 245U/L (11.040 [2.661-45.808];p=0.001) on admission. Conclusions: Age 365 years, coexisting diabetes, cough, increased PCT, and LDH greater than 245U/L on admission may be risk factors for severe cases among hospitalized COVID-19 patients in Henan Province, China.

BACKGROUND: A high incidence of thromboembolic phenomena has been widely reported in patients with coronavirus disease 2019 (COVID-19) pneumonia. There is, however, a paucity of data detailing the incidence and characteristics of pulmonary emboli (PE) in COVID-19 patients in the South African setting. OBJECTIVES: To describe the incidence and characteristics of PE confirmed by CT pulmonary angiogram (CTPA) in patients with COVID-19 pneumonia admitted to a tertiary hospital in the Western Cape, South Africa. METHODS: This was a retrospective-, descriptive study of all adult patients with COVID-19 pneumonia confirmed by polymerase chain reaction (PCR) undergoing CTPA for suspected PE while admitted to Groote Schuur Hospital. The study period was from 01 April 2020 to 30 September 2020. RESULTS: The study cohort consisted of 116 patients, 59% being female, of whom 29% were pregnant or in the postpartum period. The median age for both genders combined was 49.5 years. The overall incidence of PE was 19%, with 20% in our subset of pregnant and postpartum patients. The majority (64%) of PEs were reported as being segmental in anatomical location. CONCLUSION: The noteworthy cohort included patients with pulmonary tuberculosis (PTB), HIV as well as pregnant and postpartum patients. The overall incidence of PE was 19% with no significant differences in demographics, comorbidities or D-dimer levels between patients with or without PE. The importance of a high clinical index of suspicion together with the role of CTPA in diagnosing PE in hospitalised COVID-19 patients is emphasised.

2019 novel coronavirus pneumonia is an acute infectious pneumonia outbreak at the end of 2019 in Wuhan, Hubei province. It belongs to the category of "epidemic disease" in TCM. Early intervention of traditional Chinese medicine has played an important role in this epidemic situation.In each stage, it has shown the advantages of treatment, accumulated rich experience, and initially formed a set of mechanism of Chinese medicine to prevent and treat acute infectious diseases. This article summarizes the classical prescriptions during each period of the disease, the screening methods of effective prescriptions and the clinical studies that have been carried out. This article can preliminarily showed the active part of traditional Chinese medicine in the treatment of 2019 novel coronavirus pneumonia.

Humans are an intensely social species with a pervasive need for affiliation and social interaction However, satisfying this fundamental motive comes with risk, including increased exposure to others' communicable pathogens Consequently, disease mitigation strategies may require humans to downregulate their interest in socialization when pathogenic threat is elevated Subsequent unsatisfactorily met affiliation needs can result in downregulation of disease avoidance goals in the service of social inclusion, albeit at the cost of putting individuals at greater risk for pathogen exposure The current review summarizes past work in social and evolutionary psychology demonstrating affiliation and disease\avoidance motivation tradeoffs We then apply this research by articulating strategies to support and maintain social distancing behaviors in the face of loneliness, which is of particular importance during pandemic outbreaks such as COVID\19 Finally, we propose novel and integrative research questions related to affiliation/pathogen\avoidance tradeoffs [ABSTRACT FROM AUTHOR] Copyright of Social & Personality Psychology Compass is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )

Background: The predictive value of prealbumin for the prognosis of coronavirus disease 2019 (COVID-19) has not been extensively investigated. Methods: A total of 1,115 patients with laboratory-confirmed COVID-19 were enrolled at Tongji hospital from February to April 2020 and classified into fatal (n = 129) and recovered (n = 986) groups according to the patient's outcome. Prealbumin and other routine laboratory indicators were measured simultaneously. Results: The level of prealbumin on admission was significantly lower in fatal patients than in recovered patients. For predicting the prognosis of COVID-19, the performance of prealbumin was better than most routine laboratory indicators, such as albumin, lymphocyte count, neutrophil count, hypersensitive C-reactive protein, d-dimer, lactate dehydrogenase, creatinine, and hypersensitive cardiac troponin I. When a threshold of 126 mg/L was used to discriminate between fatal and recovered patients, the sensitivity and specificity of prealbumin were, respectively, 78.29 and 90.06%. Furthermore, a model based on the combination of nine indexes showed an improved performance in predicting the death of patients with COVID-19. Using a cut-off value of 0.19, the prediction model was able to distinguish between fatal and recovered individuals with a sensitivity of 86.82% and a specificity of 90.37%. Conclusions: A lower level of prealbumin on admission may indicate a worse outcome of COVID-19. Immune and nutritional status may be vital factors for predicting disease progression in the early stage of COVID-19.

OBJECTIVE: To describe clinical characteristics of patients with rheumatic and musculoskeletal diseases (RMDs) and immunosuppressive therapies with Coronavirus disease 2019 (COVID-19) at an academic rheumatology center in Madrid and to identify baseline variables associated with a severe infection requiring hospitalization. METHODS: We identified SARS-CoV-2 positive cases by polymerase chain reaction performed at our center within an updated RMDs database in our clinic. Additional RMDs patients were identified when they contacted the clinic because of a positive infection. Data extraction included diagnosis, demographics, immunosuppressive treatment, comorbidities, and laboratory tests. Comparisons between patients with or without hospitalization were performed. Multivariate logistic regression was used to analyze associations between baseline variables and need for hospitalization. RESULTS: A total of 62 patients with COVID-19 and underlying RMDs were identified by April 24, 2020. Median age was 60.9 years, and 42% men. Forty-two patients required hospitalization; these were more frequently men, older and with comorbidities. There were no statistically significant between-group differences for rheumatologic diagnosis and for baseline use of immunosuppressive therapy except for glucocorticoids that were more frequent in hospitalized patients. Total deaths were 10 (16%) patients. In multivariate analysis, male sex (odds ratio [OR], 8.63; p = 0.018), previous lung disease (OR, 27.47; p = 0.042), and glucocorticoids use (> 5 mg/day) (OR, 9.95; p = 0.019) were significantly associated to hospitalization. CONCLUSION: Neither specific RMD diagnoses or exposures to DMARDs were associated with increased odds of hospitalization. Being male, previous lung disease and exposure to glucocorticoids were associated with higher odds of hospitalization in RMDs patients.

COVID-19 poses an unprecedented threat to components of global business cycles including stock markets, industrial production and employment This study investigated its impact on stock markets of 24 oil producing COVID-19-hit economies in North America, South America, Europe, Asia, Oceania and Africa It examined the nature of asymmetry in the business cycles of the sampled countries and the impact of COVID-19 on the asymmetry Switching regression techniques were estimated with data covering the period from October 1, 2019 to April 14, 2020 The results confirmed the presence of negative asymmetry in stock market cycles in 54 2% of the sampled countries, out of which 38 5%, 46 2% and 15 4% are high, middle and low-middle income countries, respectively This is significantly connected to the COVID-19 pandemic for 29 2% of the sample The expected duration of being in the state of low stock market performance, due to COVID-19, reduces with levels of countries income, if regimes are dependent Opposite was observed if regimes are independent Hence, the negative impact of COVID-19 on stock markets in lower-income countries will linger compared to higher-income countries Reducing COVID-19-associated risks will go a long way to revive investors confidence in the market and help to restart the engine of economic recovery in the sampled countries

Polymer binders for sulfur cathodes play a very critical role as they prerequisites for an in-situ immobilization against polysulfide shuttle and volume change, while ensuring good adhesion within active materials for ion conduction along with robust mechanical and chemical stability. Here, we demonstrate anionic surface charge facilitated bio-polymer binder for sulfur cathodes enabling excellent performance and fire safety improvement. The aqueous-processable tragacanth gum-based binder is adjusted to house high sulfur loading over 12 mg cm-2 without compromising the sulfur utility and reversibility, imparting high accessibility for Li-ions to sulfur particles about 80%. The intrinsic rod and sphere-like saccharidic conformal fraction's multifunctional polar units act as active channels to reach the sulfur particles. As a result, the binder entraps polysulfides with 46% improvement and restrains the volume changes within 16 % even at 4 C. Moreover, the flexible Li-S battery delivers a stack gravimetric energy density of 243 Wh kg-1, demonstrating high reactivity of sulfur along with good shape conformality, which would open an avenue for the potential development of the compact and flexible high-power device.

People have a fair idea of how they are supposed to behave to slow down the spread of COVID-19. But what about people's perception of their own compared to others' adherence to the guidelines? Building on prior research on self-enhancement biases, we predicted that people perceive themselves to adhere more strictly to the COVID-19 guidelines than others. To test this hypothesis, we conducted a large-scale online experiment (N = 1,102), using a sample from four countries (UK, US, Germany, Sweden). As predicted, people perceived themselves to adhere to the COVID-19 guidelines more strictly than both the average citizen of their country and their close friends. These findings were robust across countries. Furthermore, findings were not moderated by whether people first thought about themselves or about others. In conclusion, our study provides a robust demonstration of how a long-standing psychological effect perseveres, even during a once-in-a-lifetime health crisis.

Coronavirus disease 2019 (COVID-19), which causes severe airway problems, first emerged in the Chinese city of Wuhan. The virus led to a pandemic that affected the entire world. COVID-19 affects not only health, but also economic and social life. The emergence of this pandemic has led to health systems across the world being questioned. The aim of this study was to assess the adequacy of world health systems in the face of this pandemic. Twelve countries were selected and analyzed in the study. The choice of these countries was determined by the number of COVID-19 cases and deaths. Information concerning health systems and COVID-19 was obtained from Organization for Economic Co-operation and Development 2018, World Health Organization 2020 and Deep Knowledge Group data and was subjected to statistical analysis. According to the analysis, the country with the highest investment in health expenditures is the United States (10586 US dollars/capita), and Germany stands out as the best in health services. Another finding is the first and second wave of COVID-19 was identified as the USA with the highest case and death rate (First wave cases 1.942.363 and deaths 110.514;second wave cases at 7.419.230 and deaths 2.09.450). As a result of the meta-analysis, it is revealed that only socio-economic power is not enough, countries with good health systems are more successful in the pandemic. In addition, the analysis once again reveal how important health systems are in the face of such a pandemic.

The aim of the paper is to investigate correlation between the development of information-communicative technologies and effectiveness of political management. Methodologically the authors based their research on the methods of humanities and social sciences with the axiological bias. They focused their attention on human-centered aspects of social-technological innovations which determine internal links and determinations of different elements of information- communicative technologies and their influence on the system of political management. The results of investigation became disclose of the key tendencies of information-communicative technologies, the risks they cause to robust human contacts in society and the degree of their influence on the effectiveness of political processes. Conclusion. The use of information-communicative technologies can bring to different results due to the quality of political institutions and the aims of political elites. The general trend of the process that makes power more open in the condition of unpreparedness of political authorities to lead well-coordinated political management (due to formal coordination of their strategies, the lack of stable feedback with the citizens and undeveloped mechanisms of e-democracy) may have the chance to negatively influence on the effectiveness of political management.

Severe acute respiratory syndrome coronavirus 2 Alpha and Beta variants became dominant in Finland in spring 2021 but had diminished by summer. We used phylogenetic clustering to identify sources of spreading. We found that outbreaks were mostly seeded by a few introductions, highlighting the importance of surveillance and prevention policies.

The increasing complexity of interrelated systems has made the use of multiplex networks an important tool for explaining the nature of relations between elements in the system. In this paper, we aim at investigating various aspects of countries' behaviour during the coronavirus pandemic period. By means of a multiplex network we consider simultaneously stringency index values, COVID-19 infections and international trade data, in order to detect clusters of countries that showed a similar reaction to the pandemic. We propose a new methodological approach based on the Estrada communicability for identifying communities on a multiplex network, based on a two-step optimization. At first, we determine the optimal inter-layer intensity between levels by minimizing a distance function. Hence, the optimal inter-layer intensity is used to detect communities on each layer. Our findings show that the community detection on this multiplex network has greater information power than classical methods for single-layer networks. Our approach better reveals clusters on each layer with respect to the application of the same approach on each single-layer. Moreover, detected groups in the multiplex case benefit of a higher cohesion, leading to identifying on each layer a lower number of communities with respect to the ones obtained in the single-layer cases.

BACKGROUND: Prior research has highlighted racial and ethnic disparities in H1N1 vaccination in the United States. Our study adds to this literature by utilizing an intersectionality framework to examine the joint influence of race and sex on H1N1 vaccination beliefs and behaviors among non-Hispanic blacks and non-Hispanic whites (hereafter blacks and whites). METHODS: Using data from the National H1N1 Flu Survey of U.S. adults, we measured differences in beliefs about the safety and efficacy of the H1N1 vaccine among black women, black men, white women, and white men. We then estimated a series of nested logistic regression models to examine how race/sex vaccination disparities were influenced by health beliefs, socioeconomic status (SES), pre-existing conditions, and healthcare. RESULTS: Black respondents were more likely than white respondents to express reservations about the safety and efficacy of the H1N1 vaccine. Consistent with those beliefs, white females reported the highest rate of H1N1 vaccination (28.4%), followed by white males (26.3%), black males (21.6%), and black females (17.5%). Differences in health beliefs, SES, pre-existing conditions, and healthcare explained lower odds of H1N1 vaccination among white men and black men, relative to white women. However, black women experienced 35-45% lower odds of vaccination than white women across all models, highlighting the intersectional nature of these associations. DISCUSSION: The 2009 H1N1 influenza pandemic provides a cautionary tale about the distribution of new vaccines across large populations with diverse racial, sex, and socioeconomic characteristics. Despite differences between the H1N1 and COVID-19 pandemics, our study warns that many black Americans will forego COVID-19 vaccines unless swift action is taken to address black-white disparities in access to vital resources. Public health stakeholders can also encourage widespread adoption of COVID-19 vaccines by tailoring health promotion messages for different groups of racial minorities, especially groups like black women who face intersecting disadvantages.

Photodynamic therapy (PDT) is an anti-tumor modality which employs three individually non-toxic substances, including photosensitizer, light and oxygen, to produce a toxic effect. Besides causing damage to blood vessels that supply oxygen and nutrients to the tumor and killing the tumor by a direct cytotoxic effect, PDT has also been known to trigger an anti-tumor immune response. For instance, our previous study showed that PDT with BAM-SiPc, a silicon(IV) phthalocyanine based-photosensitizer, can not only eradicate the mouse CT26 tumor cells in a Balb/c mouse model, but also protect the mice against further re-challenge of the tumor cells through an immunomodulatory mechanism. To understand more about the immune effect, the biochemical actions of BAM-SiPc-PDT on CT26 cells were studied in the in vitro system. It was confirmed that the PDT treatment could induce immunogenic necroptosis in the tumor cells. Upon treatment, different damage-associated molecular patterns were exposed onto the cell surface or released from the cells. Among them, calreticulin was found to translocate to the cell membrane through a pathway similar to that in chemotherapy. The activation of immune response was also demonstrated by an increase in the expression of different chemokines.

Diabetes is the fourth cause of death globally. To date, there is not a practical, as well as an accurate sample for reflecting chronic glucose levels. We measured earwax glucose in 37 controls. Participants provided standard serum, glycated hemoglobin (HbA(1c)) and earwax samples at two time-points, one month apart. The specimens measured baseline fasting glucose, a follow-up postprandial glucose level and a between sample chronic glucose, calculated using the average level on the two occasions. The baseline earwax sample was obtained using a clinical method and the follow-up using a novel self-sampling earwax device. The earwax analytic time was significantly faster using the novel device, in comparison to the clinical use of the syringe. Earwax accurately reflected glucose at both assessments with stronger correlations than HbA(1c). Follow-up postprandial concentrations were more significant than their respective fasting baseline concentrations, reflecting differences in fasting and postprandial glycemia and more efficient standardization at follow up. Earwax demonstrated to be more predictable than HbA(1c) in reflecting systemic fasting, postprandial and long-term glucose levels, and to be less influenced by confounders. Earwax glucose measurements were approximately 60% more predictable than HbA(1c) in reflecting glycemia over a month. The self-sampling device provided a sample that might accurately reflect chronic glycemia.

Several viruses of the corona family interact, via their spike (S) proteins, with human cellular receptors. Spike proteins of SARS-CoV-1 and SARS-CoV-2 virions, being structurally related but not identical, mediate attachment to the human angiotensin-converting enzyme 2 (hACE2) receptor in similar but non-identical ways. Molecular-level understanding of interactions between spike proteins and hACE2 can aid strategies for blocking attachment of SARS-CoV-1, a potentially reemerging health threat, to human cells. We have identified dominant molecular-level interactions, some attractive and some repulsive, between the receptor binding domain of SARS-CoV-1 spike proteins (S-RBD) and hACE2. We performed fragment-based quantum-biochemical calculations which directly relate biomolecular structure to the hACE2...S-RBD interaction energy. Consistent with X-ray crystallography and cryo-EM, the interaction energy between hACE2 and S-RBD ([Formula: see text]26 kcal/mol) corresponds to a net intermolecular attraction which is significantly enhanced by inclusion of dispersion van der Waals forces. Protein fragments at the hACE2...S-RBD interface, that dominate host-virus attraction, have been identified together with their constituent amino acid residues. Two hACE2 fragments which include residues (GLU37, ASP38, TYR41, GLN42) and (GLU329, LYS353, GLY354), respectively, as well as three S-RBD fragments which include residues (TYR436), (ARG426) and (THR487, GLY488, TYR491), respectively, have been identified as primary attractors at the hACE2...S-RBD interface.

The author discusses the need for physical touch in children's therapy amid the coronavirus disease 2019 (COVID-19) pandemic in Great Britain in 2020 Topics covered include children's lack of needed physical affection to maintain their mental health due to lockdown and social distancing measures and the importance of the skin to skin sensory experience in early years care Also noted are recommendations for affective touch strategies in the classroom

Despite their proven effectiveness in combating the pandemic of COVID-19, measures of social isolation, quarantines, and lockdowns have drastic consequences in the social and economic spheres. This paper presents results from an ongoing study in Belo Horizonte, Brazil, to evaluate the effect of social isolation on MP10 concentration. The monitoring point was chosen in a wooded area within a university campus. Social isolation was analyzed in terms of vehicle movements recorded by speed cameras, during all phases following the partial lockdown (PL) instituted in the city. The social isolation index (SDI) showed a maximum isolation percentage of 49.5%, reached in the first week of the PL, with a subsequent continuous downward trend. The results showed a 65.2% reduction in PM10 due to the PL, when comparing the mean values monitored before (22.2 +/- 3.0 mu g m(-3)) and during (7.7 +/- 4.2 mu g m(-3)) the PL. The relationship between vehicle movement and MP10 concentrations in the monitoring region was evidenced and found to be significant (r(XY) = 0.782, p-value = 0.000). Such reduction, observed in such a short term, but due to force majeure, certainly has beneficial effects on the population's health, reinforcing the reflection about the positive impacts that could come with policies that favor the reduction of vehicle movement in the cities.