Drug resistance revealed by in silico deep mutational scanning and mutation tracker (preprint)

As COVID-19 enters its fifth year, it continues to pose a significant global health threat, with the constantly mutating SARS-CoV-2 virus challenging drug effectiveness. A comprehensive understanding of virus-drug interactions is essential for predicting and improving drug effectiveness, especially in combating drug resistance during the pandemic. In response, the Path Laplacian Transformer-based Prospective Analysis Framework (PLFormer-PAF) has been proposed, integrating historical data analysis and predictive modeling strategies. This dual-strategy approach utilizes path topology to transform protein-ligand complexes into topological sequences, enabling the use of advanced large language models for analyzing protein-ligand interactions and enhancing its reliability with factual insights garnered from historical data. It has shown unparalleled performance in predicting binding affinity tasks across various benchmarks, including specific evaluations related to SARS-CoV-2, and assesses the impact of virus mutations on drug efficacy, offering crucial insights into potential drug resistance. The predictions align with observed mutation patterns in SARS-CoV-2, indicating that the widespread use of the Pfizer drug has lead to viral evolution and reduced drug efficacy. PLFormer-PAF's capabilities extend beyond identifying drug-resistant strains, positioning it as a key tool in drug discovery research and the development of new therapeutic strategies against fast-mutating viruses like COVID-19.

Security analysis of sports competition under the influence of covid-19 / Análise de segurança da competição esportiva sob a influência da covid-19 / Análisis de seguridad de la competición deportiva bajo la influencia del covid-19

ABSTRACT Introduction The continuous growth of COVID-19 has harmed sports competitions. Although the existing method of non-opening to spectators is very effective for preventing and controlling COVID-19, it will also seriously blow the sports economy's development. Objective Explore the safety of sports competition under the influence of COVID-19 to realize sports practice in a safe and regulated condition. Methods Firstly, the current public's willingness to participate in the competition was analyzed by questionnaire survey. Then, using the literature search method, this paper discusses the safety needs of sports competitions under the normalization of the prevention and control of COVID-19 in the research area at the present stage. Results By completely controlling the crowd shift rule and skillfully controlling the crowd pace, the transmission risk in the competition process can be effectively reduced. Conclusion The relevant departments and stadium managers should fully analyze the current epidemic prevention and control needs and strengthen spectator safety management in the study area in combination with regional characteristics and the actual spectator situation. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

RESUMO Introdução O crescimento contínuo da COVID-19 tem tido um impacto negativo sobre as competições esportivas. Embora o método existente de não-abertura aos espectadores seja muito eficaz para a prevenção e controle da COVID-19, ele também trará um sério golpe ao desenvolvimento da economia esportiva. Objetivo Explorar a segurança da competição esportiva sob a influência da COVID-19, de forma a realizar a prática esportiva em uma condição segura e regulamentada. Métodos Primeiramente, a disposição do público atual para participar da competição foi analisada por meio de pesquisa por questionário. Em seguida, utilizando o método de pesquisa bibliográfica, este trabalho discute as necessidades de segurança das competições esportivas sob a normalização da prevenção e controle da COVID-19 na área de pesquisa na presente fase. Resultados Controlando completamente a regra do deslocamento da multidão e controlando habilmente o ritmo da multidão, o risco de transmissão no processo de competição pode ser efetivamente reduzido. Conclusão Os departamentos e gerentes de estádios pertinentes devem analisar plenamente as necessidades atuais de prevenção e controle de epidemias e fortalecer a gestão da segurança dos espectadores na área de estudo em combinação com as características regionais e a situação real dos espectadores. Nível de evidência II; Estudos terapêuticos - investigação dos resultados do tratamento.

RESUMEN Introducción El continuo crecimiento del COVID-19 ha tenido un impacto negativo en las competiciones deportivas. Aunque el método actual de no abrir para los espectadores es muy eficaz para la prevención y el control del COVID-19, también supondrá un duro golpe para el desarrollo de la economía deportiva. Objetivo Explorar la seguridad de la competición deportiva bajo la influencia del COVID-19, para llevar a cabo la práctica deportiva en condiciones seguras y reguladas. Métodos En primer lugar, se analizó la disposición del público actual a participar en el concurso mediante una encuesta por cuestionario. A continuación, utilizando el método de búsqueda bibliográfica, este trabajo analiza las necesidades de seguridad de las competiciones deportivas en el marco de la normalización de la prevención y el control del COVID-19 en el ámbito de la investigación en la etapa actual. Resultados Si se controla completamente la regla de desplazamiento de la multitud y se controla hábilmente el ritmo de la multitud, se puede reducir eficazmente el riesgo de transmisión en el proceso de competición. Conclusión Los departamentos competentes y los gestores de los estadios deben analizar a fondo las necesidades actuales de prevención y control de epidemias y reforzar la gestión de la seguridad de los espectadores en la zona de estudio en combinación con las características regionales y la situación real de los espectadores. Nivel de evidencia II; Estudios terapéuticos - investigación de los resultados del tratamiento.

Security analysis of sports competition under the influence of covid-19 / Análise de segurança da competição esportiva sob a influência da covid-19 / Análisis de seguridad de la competición deportiva bajo la influencia del covid-19

ABSTRACT Introduction The continuous growth of COVID-19 has harmed sports competitions. Although the existing method of non-opening to spectators is very effective for preventing and controlling COVID-19, it will also seriously blow the sports economy's development. Objective Explore the safety of sports competition under the influence of COVID-19 to realize sports practice in a safe and regulated condition. Methods Firstly, the current public's willingness to participate in the competition was analyzed by questionnaire survey. Then, using the literature search method, this paper discusses the safety needs of sports competitions under the normalization of the prevention and control of COVID-19 in the research area at the present stage. Results By completely controlling the crowd shift rule and skillfully controlling the crowd pace, the transmission risk in the competition process can be effectively reduced. Conclusion The relevant departments and stadium managers should fully analyze the current epidemic prevention and control needs and strengthen spectator safety management in the study area in combination with regional characteristics and the actual spectator situation. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

RESUMO Introdução O crescimento contínuo da COVID-19 tem tido um impacto negativo sobre as competições esportivas. Embora o método existente de não-abertura aos espectadores seja muito eficaz para a prevenção e controle da COVID-19, ele também trará um sério golpe ao desenvolvimento da economia esportiva. Objetivo Explorar a segurança da competição esportiva sob a influência da COVID-19, de forma a realizar a prática esportiva em uma condição segura e regulamentada. Métodos Primeiramente, a disposição do público atual para participar da competição foi analisada por meio de pesquisa por questionário. Em seguida, utilizando o método de pesquisa bibliográfica, este trabalho discute as necessidades de segurança das competições esportivas sob a normalização da prevenção e controle da COVID-19 na área de pesquisa na presente fase. Resultados Controlando completamente a regra do deslocamento da multidão e controlando habilmente o ritmo da multidão, o risco de transmissão no processo de competição pode ser efetivamente reduzido. Conclusão Os departamentos e gerentes de estádios pertinentes devem analisar plenamente as necessidades atuais de prevenção e controle de epidemias e fortalecer a gestão da segurança dos espectadores na área de estudo em combinação com as características regionais e a situação real dos espectadores. Nível de evidência II; Estudos terapêuticos - investigação dos resultados do tratamento.

RESUMEN Introducción El continuo crecimiento del COVID-19 ha tenido un impacto negativo en las competiciones deportivas. Aunque el método actual de no abrir para los espectadores es muy eficaz para la prevención y el control del COVID-19, también supondrá un duro golpe para el desarrollo de la economía deportiva. Objetivo Explorar la seguridad de la competición deportiva bajo la influencia del COVID-19, para llevar a cabo la práctica deportiva en condiciones seguras y reguladas. Métodos En primer lugar, se analizó la disposición del público actual a participar en el concurso mediante una encuesta por cuestionario. A continuación, utilizando el método de búsqueda bibliográfica, este trabajo analiza las necesidades de seguridad de las competiciones deportivas en el marco de la normalización de la prevención y el control del COVID-19 en el ámbito de la investigación en la etapa actual. Resultados Si se controla completamente la regla de desplazamiento de la multitud y se controla hábilmente el ritmo de la multitud, se puede reducir eficazmente el riesgo de transmisión en el proceso de competición. Conclusión Los departamentos competentes y los gestores de los estadios deben analizar a fondo las necesidades actuales de prevención y control de epidemias y reforzar la gestión de la seguridad de los espectadores en la zona de estudio en combinación con las características regionales y la situación real de los espectadores. Nivel de evidencia II; Estudios terapéuticos - investigación de los resultados del tratamiento.

Assessing urban resilience to public health disaster using the rough analytic hierarchy process method: A regional study in China

In the context of frequent occurrences of disasters worldwide, disaster-coping capability is imperative for risk reduction and contemporary emergency management. The global COVID-19 pandemic since 2020 has further highlighted the significance of resilience construction at different geographical scales. Overall, the conceptual cognition of resilience in disaster management covers multiple elements and has diverse yielding on regional assessment. This study assesses the local resilience to the public health disaster in the prefecture-level cities, focusing on two dimensions consisting of vulnerability and capability in the targeted provincial region of Jiangsu in China. To this end, based on the vulnerability-capability framework, the Rough Analytic Hierarchy Process (Rough AHP) method was applied to the resilience assessment. Drawing upon the criteria derived from literature, the criteria weights were determined with the RAHP method and we assessed urban resilience with census data. In addition, the hierarchical factors contributing to urban resilience were determined using robustness analysis. This research provides constructive ideas for regional disaster reduction and contributes to the government's capability to improve urban resilience.

Xuanfei Baidu Decoction suppresses complement overactivation and ameliorates IgG immune complex-induced acute lung injury by inhibiting JAK2/STAT3/SOCS3 and NF-κB Signaling Pathway

Background The significant clinical efficacy of Xuanfei Baidu Decoction (XFBD) is proven in the treatment of patients with coronavirus disease 2019 (COVID-19) in China. However, the mechanisms of XFBD against acute lung injury (ALI) are still poorly understood. Methods In vivo, the mouse model of ALI was induced by IgG immune complexes (IgG-IC), and then XFBD (4g/kg, 8g/kg) were administered by gavage respectively. 24h after inducing ALI, the lungs were collected for histological and molecular analysis. In vitro, alveolar macrophages inflammation models induced by IgG-IC were performed and treated with different dosage of XFBD-Containing Serum to investigate the protective role and molecular mechanisms of XFBD. Results The results revealed that XFBD mitigated lung injury and significantly downregulated the production of pro-inflammatory mediators in lung tissues and macrophages upon IgG-IC stimulation. Notably, XFBD attenuated C3a and C5a generation, inhibited the expression of C3aR and C5aR and suppressed the activation of JAK2/STAT3/SOCS3 and NF-κB signaling pathway in lung tissues and macrophages induced by IgG-IC. Moreover, in vitro experiments, we verified that Colivelin TFA (CAF, STAT3 activator) and C5a treatment markedly elevated the IgG-IC-triggered inflammatory responses in macrophages and XFBD weakened the effects of CAF or C5a. Conclusion XFBD suppressed complement overactivation and ameliorated IgG immune complex-induced acute lung injury by inhibiting JAK2/STAT3/SOCS3 and NF-κB Signaling Pathway. These data contribute to understanding the mechanisms of XFBD in COVID-19 treatment. Graphical Image, graphical Schematic representation of proposed mechanism underlying the protective effects of XFBD on the IgG-IC-induced ALI. XFBD suppressed complement overactivation and protected against IgG immune complex-induced acute lung injury by inhibiting JAK2/STAT3/SOCS3 and NF-κB Signaling Pathway.

Emerging dominant SARS-CoV-2 variants (preprint)

Accurate and reliable forecasting of emerging dominant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants enables policymakers and vaccine makers to get prepared for future waves of infections. The last three waves of SARS-CoV-2 infections caused by dominant variants Omicron (BA.1), BA.2, and BA.4/BA.5 were accurately foretold by our artificial intelligence (AI) models built with biophysics, genotyping of viral genomes, experimental data, algebraic topology, and deep learning. Based on newly available experimental data, we analyzed the impacts of all possible viral spike (S) protein receptor-binding domain (RBD) mutations on the SARS-CoV-2 infectivity. Our analysis sheds light on viral evolutionary mechanisms, i.e., natural selection through infectivity strengthening and antibody resistance. We forecast that BA.2.10.4, BA.2.75, BQ.1.1, and particularly, BA.2.75+R346T, have high potential to become new dominant variants to drive the next surge.

Anti-fatigue effect from Ginseng Radix et Rhizoma: a suggestive and promising treatment for long COVID

Two years after the coronavirus disease 2019 (COVID-19) outbreak, an increasing number of patients continue to suffer from long COVID (LC), persistent symptoms, and/or delayed or long-term complications beyond the initial 4 weeks from the onset of symptoms. Constant fatigue is one of the most common LC symptoms, leading to severely reduced quality of life among patients. Ginseng Radix et Rhizoma—known as the King of Herbs in traditional Chinese medicine—has shown clinical anti-fatigue effects. In this review, we summarize the underlying anti-fatigue mechanisms of Ginseng Radix et Rhizoma extracts and their bioactive compounds, with a special focus on anti-viral, immune remodeling, endocrine system regulation, and metabolism, suggesting that Ginseng Radix et Rhizoma is a potentially promising treatment for LC, especially in regard to targeting fatigue.

Evaluation of Air Pollutants in Extra-Long Road Tunnel with the Combination of Pollutants Nonlinear Evolution and Machine Learning Method

The extra-long expressway tunnel has a high socio-economic effect on inter-regional development, with high traffic and strong traffic winds. Nevertheless, the impacts of the tunnel traffic volume on pollutant evolution are rarely considered. This study conducted a field measurement in a real-world extra-long highway tunnel for 578 days. For the first time, the nonlinear dynamics of traffic pollutants (CO, VOCs, NO2, PM2.5, PM10) were analyzed using the Multifractal Detrended Fluctuation Analysis approach. Using the Random Forest model, the impacts of traffic and environmental parameters on air quality were quantified. The findings indicated that COVID-19 had a considerable impact on tunnel traffic, although the variance in pollutant concentration was not very noteworthy. The bidirectional effect of traffic was the main reason for this phenomenon. The Canonical Correlation Analysis was unable to quantify the correlation between pollutants and environmental parameters. The pollutant concentration evolution has a steady power-law distribution structure. Further, an inverse Random Forest model was proposed to predict air pollutants. Compared with other prediction models (baseline and machine learning), the proposed model provided higher goodness of fit and lower prediction error, and the prediction accuracy was higher under the semi-enclosed structure of the tunnel. The relative deviations between the predictions and measured data are less than 5%. These findings ascertain the nonlinear evolutionary mechanisms of pollutants inside the expressway tunnel, thus eventually improving tunnel environmental sustainability. The data in this paper can be used to clarify the changes in the traffic environment under the COVID-19 lockdown.

Visualizing the Knowledge Base and Research Hotspot of Public Health Emergency Management: A Science Mapping Analysis-Based Study

Public health emergency management has been one of the main challenges of social sustainable development since the beginning of the 21st century. Research on public health emergency management is becoming a common focus of scholars. In recent years, the literature associated with public health emergency management has grown rapidly, but few studies have used a bibliometric analysis and visualization approach to conduct deep mining and explore the characteristics of the public health emergency management research field. To better understand the present status and development of public health emergency management research, and to explore the knowledge base and research hotspots, the bibliometric method and science mapping technology were adopted to visually evaluate the knowledge structure and research trends in the field of public health emergency management studies. From 2000 to 2020, a total of 3723 papers related to public health emergency management research were collected from the Web of Science Core Collection as research data. The five main research directions formed are child prevention, mortality from public health events, public health emergency preparedness, public health emergency management, and coronavirus disease 2019 (COVID-19). The current research hotspots and frontiers are climate change, COVID-19 and related coronaviruses. Further research is needed to focus on the COVID-19 and related coronaviruses. This study intends to contribute inclusive support to related academia and industry in the aspects of public health emergency management and public safety research, as well as research hotspots and future research directions.

BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection (preprint)

Recent emergence of SARS-CoV-2 Omicron sublineages BA.2.12.1, BA.2.13, BA.4 and BA.5 all contain L452 mutations and show potential higher transmissibility over BA.2. The new variants' receptor binding and immune evasion capability require immediate investigation, especially on the role of L452 substitutions. Herein, coupled with structural comparisons, we showed that BA.2 sublineages, including BA.2.12.1 and BA.2.13, exhibit increased ACE2-binding affinities compared to BA.1; while BA.4/BA.5 shows the weakest receptor-binding activity due to F486V and R493Q reversion. Importantly, compared to BA.2, BA.2.12.1 and BA.4/BA.5 exhibit stronger neutralization escape from the plasma of 3-dose vaccinees and, most strikingly, from vaccinated BA.1 convalescents. To delineate the underlying evasion mechanism, we determined the escaping mutation profiles, epitope distribution and Omicron sublineage neutralization efficacy of 1640 RBD-directed neutralizing antibodies (NAbs), including 614 isolated from BA.1 convalescents. Interestingly, post-vaccination BA.1 infection mainly recalls wildtype (WT) induced humoral memory and elicits antibodies that neutralize both WT and BA.1. These cross-reactive NAbs are significantly enriched on non-ACE2-competing epitopes; and surprisingly, the majority are undermined by R346 and L452 substitutions, namely R346K (BA.1.1), L452M (BA.2.13), L452Q (BA.2.12.1) and L452R (BA.4/BA.5), suggesting that R346K and L452 mutations appeared under the immune pressure of Omicron convalescents. Nevertheless, BA.1 infection can also induce new clones of BA.1-specific antibodies that potently neutralize BA.1 but do not respond to WT SARS-CoV-2, due to the high susceptibility to N501, N440, K417 and E484. However, these NAbs are largely escaped by BA.2 sublineages and BA.4/BA.5 due to D405N and F486V, exhibiting poor neutralization breadths. As for therapeutic NAbs, LY-CoV1404 (Bebtelovimab) and COV2-2130 (Cilgavimab) can still effectively neutralize BA.2.12.1 and BA.4/BA.5, while the S371F, D405N and R408S mutations carried by BA.2/BA.4/BA.5 sublineages would undermine most broad sarbecovirus NAbs. Together, our results indicate that Omicron can evolve mutations to specifically evade humoral immunity elicited by BA.1 infection. The continuous evolution of Omicron poses great challenges to SARS-CoV-2 herd immunity and suggests that BA.1-derived vaccine boosters may not be ideal for achieving broad-spectrum protection.

BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron BA.1 infection (preprint)

Recent emergence of SARS-CoV-2 Omicron sublineages BA.2.12.1, BA.2.13, BA.4 and BA.5 all contain L452 mutations and show potential higher transmissibility over BA.2. The new variants’ receptor binding and immune evasion capability require immediate investigation, especially on the role of L452 substitutions. Herein, coupled with structural comparisons, we showed that BA.2 sublineages, including BA.2.12.1 and BA.2.13, exhibit increased ACE2-binding affinities compared to BA.1; while BA.4/BA.5 shows the weakest receptor-binding activity due to F486V and R493Q reversion. Importantly, compared to BA.2, BA.2.12.1 and BA.4/BA.5 exhibit stronger neutralization escape from the plasma of 3-dose vaccinees and, most strikingly, from vaccinated BA.1 convalescents. To delineate the underlying evasion mechanism, we determined the escaping mutation profiles, epitope distribution and Omicron sub-lineage neutralization efficacy of 1640 RBD-directed neutralizing antibodies (NAbs), including 614 isolated from BA.1 convalescents. Interestingly, post-vaccination BA.1 infection mainly recalls wildtype-induced humoral memory and elicits antibodies that neutralize both wild-type and BA.1. These cross-reactive NAbs are significantly enriched on non-ACE2-competing epitopes; and surprisingly, the majority are undermined by R346 and L452 substitutions, namely R346K (BA.1.1), L452M (BA.2.13), L452Q (BA.2.12.1) and L452R (BA.4/BA.5), suggesting that R346K and L452 mutations appeared under the immune pressure of Omicron convalescents. Nevertheless, BA.1 infection can also induce new clones of BA.1-specific antibodies that potently neutralize BA.1 but do not respond to wild-type SARS-CoV-2, due to the high susceptibility to N501, N440, K417 and E484. However, these NAbs are largely escaped by BA.2 sublineages and BA.4/BA.5 due to D405N and F486V, exhibiting poor neutralization breadths. As for therapeutic NAbs, LY-CoV1404 (Bamlanivimab) and COV2-2130 (Cilgavimab) can still effectively neutralize BA.2.12.1 and BA.4/BA.5, while the S371F, D405N and R408S mutations carried by BA.2/BA.4/BA.5 sublineages would undermine most broad sarbecovirus NAbs. Together, our results indicate that Omicron can evolve mutations to specifically evade humoral immunity elicited by BA.1 infection. The continuous evolution of Omicron poses great challenges to SARS-CoV-2 herd immunity and suggests that BA.1-derived vaccine boosters may not be ideal for achieving broad-spectrum protection.

Trajectory of COVID-19 incidence in China in early 2020

Objective: To understand the changing trajectory of the incidence of COVID-19 over time in the early phase of COVID-19 epidemic in 31 provincial level administrative divisions in China, except Hong Kong, Macao, and Taiwan, and explore the development pattern and possible influencing factors of the epidemic.

The Advantage of Inactivated Vaccine for Preventing the Omicron Outbreak (preprint)

The COVID-19 pandemic has now become very severe as never before due to the overwhelming spread of Omicron. We found that Omicron outbreak can be effectively prevented by inactivated vaccines, which averted an outbreak of more than 1.6 million people in Hangzhou, China. The 36 mutations in the target spike protein of Omicron neutralizing antibody enable it to evade the immune protection afforded by vaccines. This is because that mRNA and adenovirus-vector vaccines are designed to recognize the spike (S) glycoprotein of the SARS-CoV-2 wild-type (WT) strain. However, Inactivated vaccines contain the whole viral antigens and remain stable in their recognition of newly emerging variants of SARS-CoV-2. Our study confirmed the advantage of inactivated vaccines in the face of highly mutated Omicron variant and provided a basis for the development of effective vaccines to prevent future long-term transmission, mutation and recurrence of SARS-CoV-2.

Comprehensive Epitope Mapping of Broad Sarbecovirus Neutralizing Antibodies (preprint)

Constantly emerging SARS-CoV-2 variants, such as Omicron BA.1, BA.1.1 and BA.2, pose a severe challenge to COVID-19 control. Broad-spectrum antibody therapeutics and vaccines are needed for defending against future SARS-CoV-2 variants and sarbecovirus pandemics; however, we have yet to gain a comprehensive understanding of the epitopes capable of inducing broad sarbecovirus neutralization. Here, we report the identification of 241 anti-RBD broad sarbecovirus neutralizing antibodies isolated from 44 SARS-CoV-2 vaccinated SARS convalescents. Neutralizing efficacy of these antibodies against D614G, SARS-CoV-1, Omicron variants (BA.1, BA.1.1, BA.2), RATG13 and Pangolin-GD is tested, and their binding capability to 21 sarbecovirus RBDs is measured. High-throughput yeast-display mutational screening was further applied to determine each antibody's RBD escaping mutation profile, and unsupervised epitope clustering based on escaping mutation hotspots was performed. A total of 6 clusters of broad sarbecovirus neutralizing antibodies with diverse breadth and epitopes were identified, namely Group E1 (S309, BD55-3152 site), E3 (S2H97 site), F1 (CR3022, S304 site), F2 (DH1047, BD55-3500 site), F3 (ADG-2, BD55-3372 site) and B' (S2K146 site). Members of E1, F2 and F3 demonstrate the highest neutralization potency; yet, Omicron, especially BA.2, has evolved multiple mutations (G339D, N440K, T376A, D405N, R408S) to escape antibodies of these groups. Nevertheless, broad sarbecovirus neutralizing antibodies that survived Omicron would serve as favorable therapeutic candidates. Furthermore, structural analyses of selected drug candidates propose two non-competing antibody pairing strategies, E1-F2 and E1-F3, as broad-spectrum antibody cocktails. Together, our work provides a comprehensive epitope map of broad sarbecovirus neutralizing antibodies and offers critical instructions for designing broad-spectrum vaccines.

The Correlation Between Brain Performance Capacity and COVID-19: A Cross-sectional Survey and Canonical Correlation Analysis (preprint)

ObjectiveTo generate a concept of brain performance capacity (BPC) with sleep, fatigue and mental workload as evaluation indicators and to analyze the correlation between BPC and the impact of COVID-19. MethodsA cluster sampling method was adopted to randomly select 259 civil air crew members. The measurements of sleep quality, fatigue and mental workload (MWL) were assessed using the Pittsburgh Sleep Quality Index (PSQI), Multidimensional Fatigue Inventory (MFI-20) and NASA Task Load Index. The impact of COVID-19 included 7 dimensions scored on a Likert scale. Canonical correlation analysis (CCA) was conducted to examine the relationship between BPC and COVID-19. ResultsA total of 259 air crew members participated in the survey. Participants average PSQI score was 7.826 (SD = 3.796), with 49.8% reporting incidents of insomnia, mostly of a minor degree. Participants MFI was an average 56.112 (SD = 10.040), with 100% reporting some incidence of fatigue, mainly severe. The weighted mental workload (MWL) score was an average of 43.084 (SD = 17.543), with reports of mostly a mid-level degree. There was a significant relationship between BPC and COVID-19, with a canonical correlation coefficient of 0.507 (P=0.000), an eigenvalue of 0.364 and a contribution rate of 69.1%. All components of the BPC variable set: PSQI, MFI and MWL contributed greatly to BPC, with absolute canonical loadings of 0.790, 0.606 and 0.667, respectively; the same was true for the COVID-19 variable set, with absolute canonical loadings ranging from 0.608 to 0.951. ConclusionMultiple indicators to measure BPC and the interrelationship of BPC and COVID-19 should be used in future research to gain a comprehensive understanding of anti-epidemic measures to ensure victory in the battle against the spread of the disease.

Spatiotemporal spread characteristics and influencing factors of COVID-19 cases: Based on big data of population migration in China

As a public health emergency, the COVID-19 pandemic has attracted widespread attention from scholars worldwide. Combining social network models, GIS analysis and spatial econometric models, we explored the characteristics of the Wuhan population outflow network and factors affecting the number of COVID-19 cases. The results show that the Wuhan population outflow network has strong temporal and spatial heterogeneity. Cities in Hubei Province, central cities such as Beijing and Shanghai, and cities rich in tourism resources were the main destinations of Wuhan?s population inflow. The distribution of COVID-19 cases not only showed a strong spatial autocorrelation but also a hierarchical diffusion effect. The benchmark regression results showed that the population outflow from Wuhan determines the number of COVID-19 cases in other cities. Temperature was negatively correlated with the number of COVID-19 cases, while the PM2.5 concentration failed the significance test. Thus, the lower is the temperature, the greater are the survival and spread of the virus facilitated. Furthermore, cities with a higher population density and more employees in the middle reaches of the Yangtze River are more vulnerable to COVID-19. Finally, by replacing the weight matrix and setting instrumental variables, we proved the robustness of the above main conclusions.

Omicron (B.1.1.529): Infectivity, vaccine breakthrough, and antibody resistance (preprint)

The latest severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant Omicron (B.1.1.529) has ushered panic responses around the world due to its contagious and vaccine escape mutations. The essential infectivity and antibody resistance of the SARS-CoV-2 variant are determined by its mutations on the spike (S) protein receptor-binding domain (RBD). However, a complete experimental evaluation of Omicron might take weeks or even months. Here, we present a comprehensive quantitative analysis of Omicron's infectivity, vaccine-breakthrough, and antibody resistance. An artificial intelligence (AI) model, which has been trained with tens of thousands of experimental data points and extensively validated by experimental data on SARS-CoV-2, reveals that Omicron may be over ten times more contagious than the original virus or about twice as infectious as the Delta variant. Based on 132 three-dimensional (3D) structures of antibody-RBD complexes, we unveil that Omicron may be twice more likely to escape current vaccines than the Delta variant. The Food and Drug Administration (FDA)-approved monoclonal antibodies (mAbs) from Eli Lilly may be seriously compromised. Omicron may also diminish the efficacy of mAbs from Celltrion and Rockefeller University. However, its impact on Regeneron mAb cocktail appears to be mild.