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In this study, we utilized the ArcGIS Geographic Information System (ArcGIS) to study the relevant datasets of park green and residential subsidiary green spaces in Wuhan City, and at the same time, scraped residential area prices data in Wuhan using big data technology. The inverse distance weight spatial interpolation method is employed to analyze the spatial patterns of residential area prices. Distances from each residential area to park green spaces at different scales are calculated to investigate their impact on residential area prices. Three strategies are proposed: the tailored allocation of different types of park based on regional characteristics, the implementation of "quantity guarantee and quality improvement" measures to enhance the quality of residential green spaces, and the promotion of interaction between park green and residential green spaces. These strategies aim to particularly uplift housing prices in economically disadvantaged areas, ultimately achieving shared prosperity. [ABSTRACT FROM AUTHOR]

Background: While the mental health benefits of urban green spaces (UGS) are increasingly recognized, less is known about how these relationships vary for socially marginalized groups. This study investigates the association between UGS and mental health among rural-to-urban migrants in Wuhan, China, examining the roles of the quality and quantity of UGS and the intermediary function of perceived everyday discrimination. Methods: We used Multilevel Structural Equation Modeling to analyze data from a social survey, integrating with park-related social media ratings, street view imagery, and geospatial datasets to characterize UGS features and contextual factors, therefore verifying our hypotheses. Results: Both the quality and quantity of UGS significantly influence migrants' mental health, with quantity demonstrating a stronger overall correlation, challenging common assumptions. Notably, social media scores of parks, reflecting positive user experiences, were found to improve mental health. However, the relationship with UGS quantity was nuanced: higher park density and green view index were positively associated with mental health, while increased park area proportion demonstrated the opposite effect. Furthermore, perceived discrimination emerged as a critical socio-psychological factor and operated spatial heterogeneity. In inner-city areas, neighborhoods characterized by plaza-type parks and high park density were associated with reduced perceived discrimination among migrants, showing active social functions of UGS. However, larger park areas are paradoxically correlated with increased discrimination experiences and poorer mental health. Interestingly, this mediatory effect of perceived discrimination was less pronounced in inner-suburban areas. These findings suggest a nuanced role of UGS in the lives of migrants. While certain aspects of UGS quantity, such as plentiful smaller parks, can facilitate social inclusion and improve mental health, others, like overlarge parks, may unintentionally contribute to feelings of marginalization and negatively impact mental health. Conclusion: Our findings highlight the crucial need for context-sensitive green space planning that balances quality and quantity while mitigating discriminatory experiences to improve the mental health of rural-to-urban migrants. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of air quality and climate variability during the first wave of COVID-19 associated with accelerated transmission and lethality in Wuhan in China and four European metropolises (Milan, Madrid, London, and Bucharest). For the period 1 January–15 June 2020, including the COVID-19 pre-lockdown, lockdown, and beyond periods, this study used a synergy of in situ and derived satellite time-series data analyses, investigating the daily average inhalable gaseous pollutants ozone (O3), nitrogen dioxide (NO2), and particulate matter in two size fractions (PM2.5 and PM10) together with the Air Quality Index (AQI), total Aerosol Optical Depth (AOD) at 550 nm, and climate variables (air temperature at 2 m height, relative humidity, wind speed, and Planetary Boundary Layer height). Applied statistical methods and cross-correlation tests involving multiple datasets of the main air pollutants (inhalable PM2.5 and PM10 and NO2), AQI, and aerosol loading AOD revealed a direct positive correlation with the spread and severity of COVID-19. Like in other cities worldwide, during the first-wave COVID-19 lockdown, due to the implemented restrictions on human-related emissions, there was a significant decrease in most air pollutant concentrations (PM2.5, PM10, and NO2), AQI, and AOD but a high increase in ground-level O3 in all selected metropolises. Also, this study found negative correlations of daily new COVID-19 cases (DNCs) with surface ozone level, air temperature at 2 m height, Planetary Boundary PBL heights, and wind speed intensity and positive correlations with relative humidity. The findings highlight the differential impacts of pandemic lockdowns on air quality in the investigated metropolises. [ABSTRACT FROM AUTHOR]

Objective To analyze the trends in incidence of acutemyocardialinfarction (AMI)in Wuhan from 2016 to 2023, and to provide scientific basis for prevention and control of AMI in Wuhan. Methods The incidence data during 2016-2023 from the Surveillance System of cardiovascular diseases in Wuhan were collected to compute the incidence, age-standardized rate by China population 2010 (ASR-C) and by Segi's world standard population (ASR-W). The annual percent change (APC) and average annual percent change (AAPC) of incidence of AMI were evaluated using Joinpoint regression model, to analyze the incidence trends of AMI. Results The incidence of AMI in Wuhan increased from 56.67/105 in 2016 to 115.29/105 in 2023 (APC = 10.24%, P < 0.05); and ASR-C of AMI increased from 40.45/105 in 2016 to 79.57/105 in 2023 (APC = 9.75%, P < 0.05).The AMI incidence of males(83.65/105) was significantly higher than that of females(34.99/105) from 2016 to 2023 (P < 0.05).The AMI incidence of urban area(62.59/105) was significantly higher than that of rural area(55.35/105)(P < 0.05).The regression model showed that the incidence and ASR-C of AMI in male and female all showed a significant upward trend (all P < 0.05);the incidence and ASR-C of AMI of urban residents all showed a significant upward trend (all P < 0.05), while the trends of rural residents from 2016 to 2020 were not statistically significant, but they all showed a significant upward trend from 2020 to 2023 (all P < 0.05).The incidence of AMI in age groups < 30,30- < 40,40- < 50, 50- < 60, 60- < 70 years and ≥70 years in Wuhan increased at different rates from 2016 to 2023(P < 0.05).Incidence in age groups 30- < 40,40- < 50 years increased rapidly, with the AAPCs of 16.73% and 13.87%, respectively. Conclusion The incidence of AMI in Wuhan showed an upward trend from 2016 to 2023, young adult males are the crucial population for prevention and control. [ABSTRACT FROM AUTHOR]

In recent years, small-area population prediction methods have been widely applied in urban and regional planning. This study aims to empirically compare two small-area population forecasting methods and explains how to choose prediction results through a case study. This study utilizes the geographically weighted regression (GWR) model and the cohort change rate (CCR) method proposed by Inoue to forecast Wuhan's population. In terms of data requirements and the complexity of the prediction process, GWR necessitates considering more drivers of population change and is more effective for population prediction at the county administrative unit or on smaller scales. The model requires substantial input data and involves integrating statistical and geospatial data. Unlike GWR, the CCR method requires population data for only two statistical years, necessitating a smoothing of population data for each area. Consequently, it is generally unsuitable for predicting populations of small geoadministrative units. With regard to forecasting results, the CCR results suggest that Wuhan's future population will continue to experience relatively rapid growth. In contrast, the GWR results indicate that Wuhan's future population will be more stable. Given China's demographic shifts, urbanization trends, and Wuhan's recent population changes, this study concludes that GWR produces results more consistent with reality. The value of this study lies in using a case study to provide researchers and planning practitioners with a better understanding of GWR and CCR and how to choose prediction results for planning. Practical Applications: The study's findings demonstrate that the cohort change rate (CCR) method proposed by Inoue overestimates the actual population, whereas the geographically weighted regression (GWR) method underestimates it. These population prediction methods may produce different results in other cases due to variations in the situations, as observed in Wuhan, China. In the actual planning project research process, multiple prediction methods are often employed to obtain interval prediction results, the median of which is then used to approximate the actual result. To obtain age-specific population prediction results, only the CCR method may be used for planning projects or research. However, the choice of method may be constrained by data availability, requiring results based on the researcher's specific circumstances. [ABSTRACT FROM AUTHOR]

Urban national parks (UNPs) provide tourism services in cities worldwide. However, the factors affecting tourist distributions in UNP activity and path spaces remain uncertain. Using Web crawler technology, location big data were tracked and sampled in Donghu National Park in Wuhan, China, and 12 predictor variables were analyzed using a machine-learning method (i.e., random forest). The consistency of the big data compared to the population census and tourist observations was determined at 79.5% and 77.8%, respectively. The tourist number (p) and tourist density (p/ha) per day in the park space in Donghu National Park were 0–2,531 p and 0–198.0 p/ha, respectively. Peak tourist periods showed pressure flows of 0.3–34.5‰ between scenic areas in the park. An analytical framework was formulated for UNPs to link the urban environment, park attributes, and configurational attributes, which here explained 66.4%–72.5% of the tourist distribution in the path and activity spaces. Random forest models performed better than geographically weighted regression (GWR) or ordinary least squares (OLS) models, indicating a complex nonlinear relationship between the independent variables and tourist distribution in UNP spaces, rather than the linear relationship that has previously been found in urban parks. First, both activity and path spaces near developed urban environments or park entrances bore higher tourism pressure. Second, winding routes attracted tourists to path spaces, while water landscapes attracted tourists to both path and activity spaces. Third, tourism pressure in path spaces was determined by configurational attributes. These results are important reference points for the planning and management of UNPs. [ABSTRACT FROM AUTHOR]

Transit-oriented development (TOD) is a crucial way to achieve compact, livable, and sustainable urban development. The integration of shared bikes and rail transit significantly expands the service scope of public transportation and promotes the implementation of TOD planning strategies. Based on TOD planning concepts, this paper identifies the transfer flow patterns of shared bikes. Considering the semantic functions of metro stations, an interpretable machine learning model is used to explore the tidal flow patterns of shared bikes and their nonlinear correlations with the built environment in the main urban area of Wuhan. The conclusions are as follows. (1) Based on the tidal balance index of shared bikes during morning and evening peak periods, two types of tidal flow patterns are identified in the main urban area of Wuhan, namely "convergence in the morning and divergence in the evening" and "divergence in the morning and convergence in the evening". The "convergence in the morning and divergence in the evening" tidal pattern mainly occurs in residential areas at a moderate distance from the urban center and employment areas on the edge of the Hankou central activity zone, while the "divergence in the morning and convergence in the evening" tidal pattern mainly occurs in employment-dense areas near the Second Ring Road. (2) Four types of semantic functional themes and two mixed functional clusters of metro stations are identified through POI semantic information modeling and hierarchical clustering. The semantic functional types of metro stations are strongly correlated with the flow patterns of shared bikes. (3) The nonlinear effects of built environment factors are significant. The moderate supporting living facilities and road density, and the large residential scale can effectively promote the occurrence of stable connection pattern of shared bikes with high riding flow. This study can provide a basis for alleviating the tidal flow problem of shared bikes from the aspects of optimizing shared bikes scheduling and adjusting the urban built environment. [ABSTRACT FROM AUTHOR]

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Polycentric development facilitates urban–rural spatial reshaping and land use/land cover (LULC) protection. Previous studies have predominantly focused on urban areas, with spatial delineation methods biased towards the macro-level, lacking a holistic perspective that situates them within the urban–rural spatial framework. This study proposes a spatial delineation framework that is applicable to the polycentric structure, taking into account the social, economic, and natural characteristics of urbanization. It employs semivariance analysis and spatial continuous wavelet transform (SCWT) to analyze the effects of polycentric development on the urban–rural space of Wuhan from 2012 to 2021 and applies a land use transition matrix, landscape indices, and bivariate spatial autocorrelation to quantify the responses and differences of LULC within urban–rural space. The results indicate that 600 m × 600 m is the best scale for exhibiting the multidimensional characterization of urbanization. The polycentric structure alleviates the compact development of the central city, and it drives rapid expansion at the urban–rural fringe, exacerbating the spatial heterogeneity in LULC change pattern, spatial configuration, and urbanization response within urban–rural spaces. The overall effects of urbanization on LULC are relatively weak along the urban–rural gradient, experiencing a transition from positive to negative and back to positive. This study employs a novel spatial delineation framework to depict the polycentric transformation of metropolitan areas and provides valuable insights for regional planning and ecological conservation in the urban–rural fringe. [ABSTRACT FROM AUTHOR]

Wetlands play a crucial role in maintaining biodiversity and ecological balance. Preserving the ecological security of wetlands is critically important for regional environmental protection and sustainable development. However, in the core area of the Wuhan metropolitan circle, which is rapidly urbanizing, its wetlands are more susceptible to external natural environmental risks, such as changes in temperature and rainfall, as well as risks to human activity, such as social and economic activities, urban expansion, land use changes, and population growth. Meanwhile, the internal vulnerability of wetlands in terms of their spatial extent, structure, and functions also exacerbates ecological risks. These factors collectively influence the formation and development of wetland ecological risks. This study aims to comprehensively assess wetland ecological risks in the core area of the Wuhan metropolitan circle by combining external hazards and internal vulnerabilities and to construct and optimize the wetlands' ecological security pattern. We used the MSPA method to identify potential ecological sources. Additionally, the MCR model was employed to integrate ecological risk assessment results into the resistance surface, identify potential ecological corridors and nodes, construct the wetland ecological security pattern for the urban circle, and propose specific optimization strategies. In total, 31 primary and 106 secondary ecological sources were selected, along with 20 primary and 42 secondary ecological nodes. Furthermore, 10 major ecological corridors were constructed. Considering the landscape characteristics of the wetlands in the core area of the Wuhan metropolitan circle, the southern Yangtze River region will center around the Liangzi Lake group to establish a crucial corridor network, promoting overall wetland restoration and connectivity. Meanwhile, the northern Yangtze River region will form a chain-like distribution along the river, creating diverse ecosystems. This study provides a theoretical foundation for constructing and optimizing the ecological security pattern of wetlands, laying a solid groundwork for promoting regional wetland conservation and sustainable development. [ABSTRACT FROM AUTHOR]

Accessibility is an important indicator for measuring the level of medical facility services in cities. Traditional studies on healthcare accessibility for the elderly have typically focused on the capabilities of emergency services while overlooking the daily independent healthcare needs of the elderly. Taking Wuhan City as an example, the Gaussian two-step floating catchment area method is used in this study to measure the accessibility of urban elderly residents with respect to general hospitals, specialized hospitals, and community health service centers. It also analyzes the appropriateness of the medical facility layout for the elderly in Wuhan City. The research findings indicate the following: (1) The accessibility evaluation method for urban medical facilities established with the Gaussian two-step floating catchment area model can accurately assess the supply–demand relationship between the elderly and various levels of medical facilities. (2) The overall coverage of medical service facilities in Wuhan City is relatively high, but there are significant differences in accessibility for elderly residents in different areas. (3) The appropriateness of daily healthcare access for elderly residents in the central urban areas of Wuhan City is mainly influenced by the layout of general hospitals, while, in the peripheral areas, it is mainly influenced by the layout of specialized hospitals and community health service centers. (4) Improving the appropriateness of urban medical facilities for elderly individuals requires differentiated improvement measures tailored to the characteristics of different zones. [ABSTRACT FROM AUTHOR]

• Repeated measures were performed in chinese adults with low-moderate arsenic levels. • Arsenic was associated with increased levels of 8-isoPGF2α, 8-OHdG, and PCO. • Arsenic was linked to annual increased rates of 8-isoPGF2α, 8-OHdG, and PCO. • Results remain stable in different models, stratification and sensitivity analyses. Arsenic-related oxidative stress and resultant diseases have attracted global concern, while longitudinal studies are scarce. To assess the relationship between arsenic exposure and systemic oxidative damage, we performed two repeated measures among 5236 observations (4067 participants) in the Wuhan-Zhuhai cohort at the baseline and follow-up after 3 years. Urinary total arsenic, biomarkers of DNA oxidative damage (8-hydroxy-2′-deoxyguanosine (8-OHdG)), lipid peroxidation (8-isoprostaglandin F2alpha (8-isoPGF2α)), and protein oxidative damage (protein carbonyls (PCO)) were detected for all observations. Here we used linear mixed models to estimate the cross-sectional and longitudinal associations between arsenic exposure and oxidative damage. Exposure-response curves were constructed by utilizing the generalized additive mixed models with thin plate regressions. After adjusting for potential confounders, arsenic level was significantly and positively related to the levels of global oxidative damage and their annual increased rates in dose-response manners. In cross-sectional analyses, each 1% increase in arsenic level was associated with a 0.406% (95% confidence interval (CI): 0.379% to 0.433%), 0.360% (0.301% to 0.420%), and 0.079% (0.055% to 0.103%) increase in 8-isoPGF2α, 8-OHdG, and PCO, respectively. More importantly, arsenic was further found to be associated with increased annual change rates of 8-isoPGF2α (β: 0.147; 95% CI: 0.130 to 0.164), 8-OHdG (0.155; 0.118 to 0.192), and PCO (0.050; 0.035 to 0.064) in the longitudinal analyses. Our study suggested that arsenic exposure was not only positively related with global oxidative damage to lipid, DNA, and protein in cross-sectional analyses, but also associated with annual increased rates of these biomarkers in dose-dependent manners. [Display omitted] [ABSTRACT FROM AUTHOR]

Background: According to Norwegian registries, 91% of individuals ≥ 16 years had received ≥ 1 dose of COVID-19 vaccine by mid-July 2022, whereas less than 2% of children < 12 years were vaccinated. Confirmed COVID-19 was reported for 27% of the population, but relaxation of testing lead to substantial underreporting. We have characterized the humoral immunity to SARS-CoV-2 in Norway in the late summer of 2022 by estimating the seroprevalence and identifying antibody profiles based on reactivity to Wuhan or Omicron-like viruses in a nationwide cross-sectional collection of residual sera, and validated our findings using cohort sera. Methods: 1,914 anonymized convenience sera and 243 NorFlu-cohort sera previously collected from the Oslo-area with reported infection and vaccination status were analyzed for antibodies against spike, the receptor-binding domain (RBD) of the ancestral Wuhan strain and Omicron BA.2 RBD, and nucleocapsid (N). Samples were also tested for antibodies inhibiting RBD-ACE2 interaction. Neutralization assays were performed on subsets of residual sera against B.1, BA.2, XBB.1.5 and BQ.1.1. Results: The national seroprevalence estimate from vaccination and/or infection was 99.1% (95% CrI 97.0-100.0%) based on Wuhan (spike_W and RBD_W) and RBD_BA2 antibodies. Sera from children < 12 years had 2.2 times higher levels of antibodies against RBD_BA2 than RBD_W and their seroprevalence estimate showed a 14.4 percentage points increase when also including anti-RBD_BA2 antibodies compared to Wuhan-antibodies alone. 50.3% (95% CI 45.0-55.5%) of residual sera from children and 38.1% (95% CI 36.0-40.4%) of all residual sera were positive for anti-N-antibodies. By combining measurements of binding- and ACE2-RBD-interaction-inhibiting antibodies, reactivity profiles indicative of infection and vaccination history were identified and validated using cohort sera. Residual sera with a profile indicative of hybrid immunity were able to neutralize newer Omicron variants XBB.1.5 and BQ.1.1. Conclusions: By late summer of 2022, most of the Norwegian population had antibodies to SARS-CoV-2, and almost all children had been infected. Antibody profiles indicated that children mostly had experienced a primary Omicron infection, while hybrid immunity was common among adults. The finding that sera displaying hybrid immunity could neutralize newer Omicron variants indicates that Wuhan-like priming of the immune response did not have a harmful imprinting effect and that infections induce cross-reacting antibodies against future variants. [ABSTRACT FROM AUTHOR]

Hypophthalmichthys nobilis are widely distributed in the Yangtze River basin and its related lakes. They are an important economic fish species and are a famous cultured species known as the "Four Famous Domestic Fishes" in China. Currently, with the fishing ban in the Yangtze River basin, fishing for H. nobilis in the natural water bodies of the Yangtze River basin has been completely prohibited. In order to identify the sources of H. nobilis appearing in the market, further control and accountability is necessary to trace the sources of H. nobilis in the Yangtze River basin and its related water bodies. Therefore, this study identified and traced different sources of H. nobilis through muscle element fingerprint analysis (EFA). The results show that H. nobilis from different stations have characteristic element compositions. The characteristic element of H. nobilis from Wuhan (WH) is Pb, which is significantly higher than that in other stations; the characteristic element from Anqing (AQ) is Hg, which is significantly higher than that in other stations; and the characteristic element from Taihu (TH) is Al, which is significantly higher than that in other water areas. Multivariate analysis selected different spatial distribution patterns in four discriminative element ratios (Pb/Ca, Cr/Ca, Na/Ca, and Al/Ca) in the muscle of H. nobilis in the Yangtze River basin and its related lakes. This study suggests that the screened discriminative elements can be used to visually distinguish different sources of H. nobilis and to quickly trace and verify the origin of newly emerging samples. Therefore, the use of selected discriminative element fingerprint features to trace the origin of new samples has been proven to be feasible. By further discriminating and verifying the muscle element fingerprints of new samples, the discrimination rate is high. Therefore, a multivariate analysis of muscle element fingerprints can be used for tracing the origins of samples of unknown origin in market supervision. [ABSTRACT FROM AUTHOR]

Corticosteroids have beneficial effects in improving outcomes in hospitalized patients with severe COVID-19 by suppressing excessive immune responses. However, the effect of corticosteroids on the humoral and T-cell responses of survivors of COVID-19 1 year after infection remains uncertain, as it relates to the extent of immediate, antigen-specific defense provided by protective memory. What is the effect of corticosteroids on long-term humoral and T-cell immune responses? In this retrospective cohort study conducted at a single center, we analyzed data from a cohort who had survived COVID-19 to compare the 1-year seropositivity and titer changes in neutralizing antibodies (NAbs) and SARS-CoV-2-specific antibodies. Additionally, we evaluated the magnitude and rate of SARS-CoV-2-specific T-cell response in individuals who received corticosteroids during hospitalization and those who did not. Our findings indicated that corticosteroids do not statistically influence the kinetics or seropositive rate of NAbs against the Wuhan strain of SARS-CoV-2 from 6 months to 1 year. However, subgroup analysis revealed a numerical increase of NAbs titers, from 20.0 to 28.2, in categories where long-term (> 15 days) and high-dose (> 560 mg) corticosteroids were administered. Similarly, corticosteroids showed no significant effect on nucleoprotein and receptor-binding domain IgG at 1 year, except for spike protein IgG (β, 0.08; 95% CI, 0.04-0.12), which demonstrated a delayed decline of titers. Regarding T-cell immunity, corticosteroids did not affect the rate or magnitude of T-cell responses significantly. However, functional assessment of memory T cells revealed higher interferon-γ responses in CD4 (β, 0.61; 95% CI, 0.10-1.12) and CD8 (β, 0.63; 95% CI, 0.11-1.15) memory T cells in the corticosteroids group at 1 year. Based on our findings, short-term and low-dose corticosteroid therapy during hospitalization does not appear to have a significant effect on long-term humoral kinetics or the magnitude and rate of memory T-cell responses to SARS-CoV-2 antigens. However, the potential harmful effects of long-term and high-dose corticosteroid use on memory immune responses require further investigation. [ABSTRACT FROM AUTHOR]

At the end of 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, China. On 11 March 2020, the World Health Organization declared COVID-19 a pandemic. This virus affects many organs, including the eye, and can manifest through various clinical manifestations. Multiple neuro-ophthalmological manifestations have been reported in association with COVID-19, including, Optic Neuritis, cranial nerve palsies, eye movement abnormalities, and visual field defects. In this article, we report a case of bilateral neuroretinitis in association with (SARS-CoV-2). [ABSTRACT FROM AUTHOR]

Background: The primary causative agent of the COVID-19 pandemic is the newly identified severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). After being identified in the Chinese city of Wuhan, SARS-CoV-2 quickly spread to every country worldwide. The highly mutated SARS-CoV-2 variant B.1.1.529 (Omicron) has the ability to evade the neutralizing antibodies produced by vaccines. This is because the immune response generated by the vaccines is focused on a specific group of receptor-binding domain (RBD) epitopes. The objective of this work is to establish a systematic protocol for isolating, cultivating, and inactivating the SARS-CoV-2 Omicron variant in cell lines without causing any genetic alterations. This is done to develop an inactivated vaccine and make it ready for future pre-clinical trials in animal models. Material and methods: This investigation involves the collection of nasopharyngeal swabs (n = 40) from individuals who are suspected to have COVID-19. The molecular identification of SARS-CoV-2 was achieved by Real-Time Quantitative Reverse Transcription PCR (RT-qPCR). Whole genome sequencing (WGS) has been performed for all collected samples (n = 40). The determination of clade assignment, Pangolin lineages, mutation calling, and phylogenetic placement was performed. We selected only one sample for our candidate vaccine, which has the lowest Ct value and represents the most common strain among all the collected samples. The selected virus sample was cultured on the Vero cell line for 7 continuous passages. The confirmation of SARS CoV-2 propagation was based on the data obtained from both RT-qPCR and the observation of cytopathic effect (CPE). The tissue culture infective dose 50% (TCID50) was determined to examine the growth kinetics for each passage in the tissue culture. The genetic stability of our selected sample for the vaccine candidate was investigated by performing whole genome sequencing (WGS) of the propagated virus. Furthermore, SARS-CoV-2 was fully inactivated by chemical means utilizing beta-propiolactone (βPL), and the overall protein content was assessed. Result: Finally, we will possess a genetically consistent, inactivated form of the SARS CoV-2 Omicron variant, specifically clade 22B and Pango lineage BA.5.2. Conclusion: This inactivated variant will have a known titer and total protein content, making it suitable for further examination in a pre-clinical study aimed at creating an inactivated vaccine for the SARS CoV-2 Omicron variant that was isolated in Egypt. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic, a significant public health emergency, has underscored the criticality of jobs–housing proximity. Static statistical research, however, struggles to uncover the mechanisms underlying jobs–housing balance, providing limited guidance for urban management. This paper adopts the concept of jobs–housing dynamic balance, analyzing the trends in jobs–housing balance in the metropolitan development area of Wuhan in the early and later period of the pandemic from the perspective of individual jobs–housing migration. Using mobile phone signaling data, we identified a stable population of 161,698 residents in June 2019, June 2021, and June 2023, and calculated jobs–housing synchronization and migration impact indices across seven regions. The study finds the following: (1) there is a pronounced misalignment of jobs–housing in the new cities of Wuhan's suburbs, with clear asynchronous in-migration and out-migration; (2) COVID-19 initially led to a unidirectional exodus of the local population for job purposes, significantly contributing to regional jobs–housing imbalance, followed by a partial rebound in the later stages; and (3) the stability of jobs–housing balance in suburban new cities lacking policy support and comprehensive urban functions is worse, primarily due to insufficient employment resilience and the out-migration of the employed population. This paper puts forward a set of recommendations for the sustainable development of suburban new cities. It offers insights into the theoretical advancement of jobs–housing balance and the dynamic, refined transformation of urban studies, enhancing urban managers' understanding of human–place interactions and new city construction. [ABSTRACT FROM AUTHOR]

Nowadays, the reorganization of rural land-use space exhibits a dynamic process of expansion and shrinkage. Taking the Wuhan Metropolitan Area as an example, this study used the InVEST model to quantitatively assess changes in rural built-up land between 1995 and 2020 and its impact on regional carbon storage. Combined with the PLUS model, further simulations were carried out to predict the heterogeneous mechanisms of shrinkage and expansion of rural habitable space under three scenarios in 2030. The results indicate that the area of rural built-up land in the Wuhan Metropolitan Area showed an overall increasing trend, with shrinkage mainly concentrated in the Wuhan-Ezhou border, Tianmen, and southern Xiantao, while expansion displayed a decentralized point distribution. The PLUS model predicts that, in the scenario of rural built-up land expansion, a significant amount of cropland is encroached upon. This study provides a new perspective for understanding the impact of rural habitat changes on the carbon cycle. Future land management and planning should pay more attention to maintaining ecosystem services and considering the environmental effects of changes in rural built-up land layout. [ABSTRACT FROM AUTHOR]

The implementation of an urban growth boundary (UGB) can effectively control urban sprawl and promote efficient land use, which is crucial for future urban development. However, most of existing studies overlook the reuse of existing idle and inefficient land within the city in the delineation of UGBs. With China's urban construction shifting from incremental development to stock development, this study focuses on Wuhan and presents a set of technical approaches for delineating UGBs with a stock development orientation. First, a built-up area composite index (POI&ISA) is constructed based on point of interest (POI) kernel density analysis and impervious surface index extraction to evaluate constructive levels in 2010 and 2020 and identify the urban vitality zone. Then, we combine the current land use status and control policies to divide the urban spatial development potential into five categories: urban vitality land, urban non-vitality land, other vitality land, other non-vitality land, and restricted development land. Finally, the PLUS model is applied in the analysis of the driving forces of land use change in Wuhan, simulating the UGBs in three stages of incremental development (2020–2030), incremental and stock development (2030–2040), and stock development (2040–2050). Finally, the PLUS model simulation projects the UGB areas to be 436.436 km2, 474.617 km2, and 520.396 km2 for the years 2030, 2040, and 2050, respectively. The predicted timespan of urban development extends up to 30 years, serving as a reliable reference for Wuhan's long-term and near-term planning. [ABSTRACT FROM AUTHOR]

In recent years, the aging population in Chinese cities has become increasingly severe. In 2021, the proportion of people aged 65 and above in Wuchang District, Wuhan reached 24.38%, indicating a deeply aging society. Consequently, the importance of studying aging-friendly public spaces in communities is becoming more prominent. This research was conducted based on survey data of outdoor spaces in Shouyi Community, Shouyi Road. Factor analysis and IPA were used to assess the satisfaction and importance of elderly residents' satisfaction. The primary renovation factors identified include route organization, site height difference protection, barrier-free design, plant color matching, plant configuration, and landscape features, followed by spatial continuity, lighting, microclimate, and rest facilities layout. These analyses effectively identified public factors and prioritize the aging-friendly renovation of public spaces in old communities. In the renovation of old communities in Wuhan, safety is the primary renovation factor for aging-friendly communities. Improving site height difference protection and barrier-free facilities significantly enhances residents' satisfaction. The aesthetic improvement of outdoor spaces is the second renovation factor, indicating that the elderly increasingly value the aesthetic aspect of spaces. Although accessibility of community public spaces is the third renovation factor, route organization at the criterion level has the highest priority. Road traffic and parking difficulties are also key factors in the renovation of old communities. [ABSTRACT FROM AUTHOR]

This study aimed to determine the relationships between prenatal PM2.5 exposure and childhood growth trajectories during the first 6 years of life. A total of 47,625 pairs of mothers and children were recruited from a prospective birth cohort conducted between 2011 and 2013 in Wuhan, China, and followed for 6 years. We used the group-based trajectory models to classify the population into three trajectory groups: slow growth (n = 13,671, 28.7%), normal growth (n = 29,736, 62.4%), and rapid growth (n = 4218, 8.9%). Multinomial logistic regression models were used to determine the associations of prenatal PM2.5 exposure and childhood growth trajectories. Compared to normal growth trajectory, increased PM2.5 exposure in trimester 1, trimester 2 and the entire pregnancy showed significant associations with an increased risk of the slow growth trajectory but reduced the risk for the rapid growth trajectory, significant association of prenatal PM2.5 exposure with rapid growth trajectory was only observed in the trimester 3. Stratified analyses displayed relatively stronger associations among those mothers with maternal age over 35 years, pre-pregnancy BMI ≥ 25 kg/m2, and previous delivery experience. Prenatal exposure to PM2.5, particularly during the midpoint period of pregnancy, was more likely to have a slow growth trajectory and a lower risk of rapid growth trajectory. Maternal age, pre-pregnancy BMI, and previous delivery experience might modify these associations. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic was an unprecedented global event in recent history. Beginning with an initial outbreak in Wuhan, China, in December 2019, the virus spread rapidly across the globe, causing millions of deaths and triggering an unprecedented health, economic, and social crisis. The initial response to the outbreak in many countries was the implementation of social distancing measures, including the closure of schools and businesses, the cancellation of mass events, and the banning of travel. These measures were aimed at reducing the virus' spread and preventing health systems from being overwhelmed by the numerous severe COVID-19 cases. However, these measures also had a devastating economic impact, especially on precarious workers and freelancers, as well as those who were unable to work from home. As the pandemic (also considered a syndemic or synergistic epidemic) dragged on, countries adopted more flexible approaches to dealing with the virus, adopting mitigation measures rather than social distancing measures. These included the use of masks, testing and contact tracing, and the opening of businesses and schools with the implementation of additional safety measures. This paper highlights the social consequences of the pandemic, ultimately arguing that it is a total social fact (from the French fait social total), based on Marcel Mauss' categorization, since it encompassed and impacted all facets of human life. [ABSTRACT FROM AUTHOR]

During the operation of fabricated small box girder bridges, which face safety issues such as structural degradation and failure, there is an urgent need to propose a safety evaluation method to cope with the possible risks. This article quantitatively evaluates the safety state of a fabricated small box girder bridge in Wuhan City based on Fuzzy Analytic Hierarchy Process (FAHP) and structural health monitoring (SHM) data. Firstly, the FAHP model is established, and stress, deformation, and temperature are selected as evaluation factors. The safety thresholds of stress and deformation are determined by combining the industry specifications and the historical statistical patterns of the massive SHM data. The temperature field of the bridge is simulated and analyzed by combining ANSYS, HYPERMESH, and TAITHREM, and the most unfavorable temperature gradient is determined as a threshold for the safety evaluation. Finally, the scores of indexes of the bridge are determined based on the measured SHM data, which in turn provides a quantitative description of the safety state. The results show that the thresholds determined by the joint industry specifications and the massive SHM data are reasonable; the temperature field simulation model established in this article is consistent with the measured results, and can accurately determine the temperature gradient of the bridge. The safety evaluation result from the FAHP model is the same as the field test results, which verifies the effectiveness and applicability of the proposed method to actual bridge projects. [ABSTRACT FROM AUTHOR]

Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China In recent years, the relationship between vitamin D and allergic diseases has received widespread attention. As a fat-soluble vitamin, vitamin D plays a crucial role in regulating the immune system and may influence the onset and progression of diseases such as atopic dermatitis, allergic rhinitis, and asthma. To understand the underlying mechanisms, we have summarized the current research on the association between vitamin D and allergic diseases. We also discuss the impact of vitamin D on the immune system and its role in the course of allergic diseases, particularly focusing on how vitamin D supplementation affects the treatment outcomes of these conditions. We aim to provide a theoretical basis and practical guidance for optimizing the management and treatment of allergic diseases by modulating vitamin D levels. [ABSTRACT FROM AUTHOR]

Background: College and university students were an important population group of blood donors, especially in the current situation of tight blood supply. This study aimed to investigate the current status and determinants of blood donation among this population group in Wuhan using a structural equation model. Methods: We conducted a cross-sectional study involving 12 colleges and universities in Wuhan, China, including 5168 students. Sociodemographic characteristics, health status, knowledge about blood donation, and attitude toward blood donation were treated as latent variables, with blood donation as the observed variable. Confirmatory factor analysis was conducted using the Mplus 8.0 statistical software application, followed by the establishment of a structural equation model to assess the relationships that exist between these variables. Results: The overall blood donation rate among college and university students was 24.71%. The established model indicated that sociodemographic characteristics, health status, knowledge about blood donation, and attitude toward blood donation showed significant positive effects (0.135, 0.056, 0.321, and 0.389, respectively) on blood donation, among them, the direct effects were 0.076, -0.110, 0.143, and 0.389, respectively (P < 0.01). Additionally, sociodemographic characteristics, health status, and knowledge about blood donation had indirectly affected blood donation through the mediating effect of attitude towards blood donation. Their effects on attitude towards blood donation were 0.099, 0.243, and 0.468, respectively. (P < 0.01). The model could explain explained 22.22% of the variance in blood donation behavior among college and university students in Wuhan. Conclusion: Blood donation among college and university students in Wuhan was associated with sociodemographic characteristics, health status, knowledge about blood donation, and attitude towards blood donation, with attitude being the primary influencing factor. Tailored recruitment strategies for blood donation among students should prioritize initiatives aimed at enhancing knowledge about blood donation and fostering positive attitudes toward it. [ABSTRACT FROM AUTHOR]

Objective This study aims to investigate the feasibility and safety of Da Vinci robotic-assisted thoracoscopy for resecting mediastinal tumors in pediatric patients. Methods From November 2020 to June 2023, a total of 80 pediatric patients undergoing mediastinal tumor resection at Wuhan Children's Hospital were randomly assigned into two groups, with each group consisting of 40 participants. The control group underwent conventional thoracoscopy, while the observation group underwent Da Vinci robotic-assisted thoracoscopy. This study aimed to compare perioperative indicators between the two groups and establish learning curves based on surgical duration and intraoperative blood loss. Additionally, it assessed levels of pain mediators and stress response markers before surgery and at 24 hours post-surgery, as well as postoperative complications. Inflammatory marker levels were evaluated one month after surgery, and the children's quality of life was measured using the Pediatric Quality of Life Inventory(PedsQL) Generic Core Scales before surgery and one month post-surgery. Results The surgical duration for the observation group and the control group was(1.76 ± 0.33) hours and(2.82±0.62) hours, respectively, and the intraoperative blood loss was(49.83 ± 6.39) mL and(71.55 ± 8.19) mL, respectively. Furthermore, the post-operative drainage time, drainage volume, and hospital stay for the observation group were all lower than those for the control group(P < 0.05). After surgery, the levels of BK, 5-HT, NPY, and PGE2 in the observation group were(8.06 ± 1.06) mg/L, (170.20 ± 13.21) ng/L, (201.82 ± 13.52) mg/L, and(241.82 ± 15.32) ng/L, respectively, indicating lower levels of pain mediators, stress response markers, and inflammatory factors compared to the control group(P < 0.05). he overall incidence of complications was 2.50% in the observation group as opposed to 20.00% in the control group. Moreover, there was a statistically significant improvement in quality of life after surgery within the observation group when compared to that within the control group(P < 0.05). Conclusion Da Vinci robotic-assisted thoracoscopy demonstrates enhanced feasibility and safety in pediatric mediastinal tumor resection, thereby justifying its clinical promotion. [ABSTRACT FROM AUTHOR]

This study aimed to develop and internally validate a nomogram model for assessing the risk of intraoperative hypothermia in patients undergoing video-assisted thoracoscopic (VATS) lobectomy. This study is a retrospective study. A total of 530 patients who undergoing VATS lobectomy from January 2022 to December 2023 in a tertiary hospital in Wuhan were selected. Patients were divided into hypothermia group (n = 346) and non-hypothermia group (n = 184) according to whether hypothermia occurred during the operation. Lasso regression was used to screen the independent variables. Logistic regression was used to analyze the risk factors of hypothermia during operation, and a nomogram model was established. Bootstrap method was used to internally verify the nomogram model. Receiver operating characteristic (ROC) curve was used to evaluate the discrimination of the model. Calibration curve and Hosmer Lemeshow test were used to evaluate the accuracy of the model. Decision curve analysis (DCA) was used to evaluate the clinical utility of the model. Intraoperative hypothermia occurred in 346 of 530 patients undergoing VATS lobectomy (65.28%). Logistic regression analysis showed that age, serum total bilirubin, inhaled desflurane, anesthesia duration, intraoperative infusion volume, intraoperative blood loss and body mass index were risk factors for intraoperative hypothermia in patients undergoing VATS lobectomy (P < 0.05). The area under ROC curve was 0.757, 95% CI (0.714–0.799). The optimal cutoff value was 0.635, the sensitivity was 0.717, and the specificity was 0.658. These results suggested that the model was well discriminated. Calibration curve has shown that the actual values are generally in agreement with the predicted values. Hosmer–Lemeshow test showed that χ2 = 5.588, P = 0.693, indicating that the model has a good accuracy. The DCA results confirmed that the model had high clinical utility. The nomogram model constructed in this study showed good discrimination, accuracy and clinical utility in predicting patients with intraoperative hypothermia, which can provide reference for medical staff to screen high-risk of intraoperative hypothermia in patients undergoing VATS lobectomy. [ABSTRACT FROM AUTHOR]

The objective of this cross-sectional study was to examine the extent of sleep quality among individuals undergoing maintenance hemodialysis (MHD) and to scrutinize whether hope and family function serve as mediators in the association between anxiety and sleep quality in this cohort. A convenience sampling method was used to recruit 227 patients receiving maintenance hemodialysis from two tertiary hospitals in Wuhan. Participants completed several self-report questionnaires, including the Sociodemographic questionnaire, Hospital Anxiety and Depression Scale, Athens Insomnia Scale, Herth Hope Index, and Family APGAR Index. As per the findings of the chain mediation analysis, it was observed that the sleep quality scores were directly predicted by anxiety. Moreover, anxiety positively predicted sleep quality scores through hope and family function as mediators. The observed types of mediation were partial mediation. The total indirect effect value was 0.354, indicating the mediating effect of hope and family function, while the total effect value was 0.481, representing the overall effect of anxiety on sleep quality. The total effect size was 73.60% (0.354/0.481), indicating that the mediation accounted for a significant portion of the relationship. This study established the chain mediating effect of hope and family function between anxiety and sleep quality in patients receiving maintenance hemodialysis. The findings highlight the importance of addressing anxiety and promoting hope and family function to improve sleep quality in this population. The findings suggest that healthcare professionals should be attentive to the anxiety levels of these patients and implement targeted interventions to help alleviate anxiety, enhance hope, and improve family functioning, with the ultimate goal of improving sleep quality in this population. [ABSTRACT FROM AUTHOR]

Analyzing the carbon metabolism mechanism of production-living-ecological space through simulating biological metabolism can help to achieve the integration of regional elements and structural optimization, which is one of the effective ways to seek for the green and low- carbon development of cities. Taking Wuhan city, Hubei province as an example, a horizontal carbon flow model was constructed to analyze the flow direction of carbon elements from 2005 to 2020; and ecological network analysis (ENA) model was used to analyze the carbon metabolism of production-living-ecological space, and assess the ecological relationship between different land uses; finally, the comprehensive effect of the evolution of production-living-ecological space on urban carbon metabolism was judged by using the mutualism index. The results show that ① from 2005 to 2020, Wuhan city is dominated by negative carbon flows, which peaks in 2010- 2015, and the study area shows a disorganized carbon metabolism from 2005 to 2015; from 2015 to 2020, the effect of carbon emission reduction is significant, the positive and negative carbon flows are weaker, and distribute sporadically in space, and carbon metabolism is gradually balanced at the later stage; ② ecological relationships in Wuhan city are dominated by predation- restriction, ecological space is crowded by living space and production space, ecological conflicts between different land uses are more intense, and ecological relationships improve significantly after 2015 when the area without ecological relationships increase; ③ the mutualism index shows a trend of decreasing and then increasing, but the average value of mutualism index is 0.77(<1), which indicates that the evolution of the production-living-ecological space still has a negative effect on the balance of urban carbon metabolism, and there are still irrationalities in spatial utilization of Wuhan's land and the pressure on carbon metabolism, which calls for the optimization of land and spatial layout, and the promotion of green and low-carbon development. [ABSTRACT FROM AUTHOR]

Intensive application of chlorine-based disinfectants driven by the COVID-19 pandemic was suspected to be detrimental to receiving water ecosystems, but with little field evidence. We characterized the occurrences of typical disinfectants and microeukaryotic communities in surface waters associated with three wastewater treatment plants (WWTP)-river systems one year after the lockdown in Wuhan, China. Trihalomethanes (THMs) declined from summer 2020 (0.01-1.82 µg/L) to summer 2021 (0.01-0.95 µg/L), whereas quaternary ammonium salts (QAs) increased from summer 2020 (0.53-6.35 ng/L) to summer 2021 (8.49-191 ng/L). Biodiversity monitoring with environmental DNA (eDNA) revealed significant temporal variation in microeukaryotic community composition. The monitored disinfectants were correlated with some eukaryotic communities as demonstrated by redundancy analysis. For example, QAs were positively related to Cryptophyta relative abundance, but negatively related to Rotifera relative abundance. A microeukaryote-based multimetric index indicated ecological impairment near the Han River WWTP outlet in 2020. Our findings indicate the influence of heavily used disinfectants on river microeukaryotic communities, and the usefulness of assessing mid-term ecological risks from disinfectants in the post COVID-19 era. [ABSTRACT FROM AUTHOR]

In promoting China's comprehensive modernization in pursuit of the grand revitalization of the Chinese nation, the relationship between industry and cities has become increasingly interconnected. National central cities, as the country's economic, cultural, and financial centers, play a pivotal role in driving the development of their surrounding regions. Therefore, this paper focuses on nine national central cities in China and constructs an assessment index framework for urban–rural integration and modernization. This index system covers two aspects: industrial modernization (with a focus on the modernization of the service sector and industry) and urban modernization (with a focus on the harmonious development of people and nature). Using data from 2021, we determine the weights of individual indicators through the entropy weight method. Moreover, the coupling coordination model is utilized to compute the coupling coordination degree for each city, assessing the level of urban–rural integration and modernization. Using Hubei Province as an illustration, we incorporate the measured coupling coordination degree into the analysis of urban–rural integration effects. Spatial autocorrelation using Global Moran's I is applied to explore the spatial radiation effects of the national central city, Wuhan, on its surrounding cities. Simultaneously, 13 prefecture level cities in Hubei Province were selected as radiation areas, and relevant data from 2017 to 2021 were collected. The Durbin, robust regression, and panel model were employed to analyze the economic radiation impact, learning effect, and transportation accessibility effect of Wuhan as a national central city on surrounding cities. Our findings unequivocally demonstrate the paramount role of the service sector in shaping urban–rural integration, as evidenced by Shanghai emerging with the highest level of such integration and modernization, while Zhengzhou lags with the least progress. Moreover, the innovative prowess inherent in Wuhan, which functions as a national central city, exerts a positive influence on the innovation capacity witnessed in its radiating vicinity. Concurrently, the transportation accessibility quotient between peripheral cities and the central city manifests a positive correlation with the economic development level within the radiation zone. These results furnish invaluable insights into strategies aimed at elevating the echelon of urban–rural integration and modernization within national central cities. [ABSTRACT FROM AUTHOR]

Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) can infect a broad range of animal species and has been associated with severe disease in some taxa. Few studies have evaluated optimal strategies to mitigate the risk to susceptible zoo animals. This study evaluated the safety and immunogenicity of a protein‐based veterinary SARS‐CoV‐2 vaccine (SpikeVet™) in zoo animals. Two to three doses of SpikeVet™ were administered intramuscularly or subcutaneously 3–4 weeks apart to 354 zoo animals representing 38 species. SpikeVet™ was very well tolerated across all species. Minor adverse effects were observed in 1.69% of animals vaccinated, or 1.04% of vaccine doses administered. Preliminary immunogenicity analyses in representative carnivores (meerkats, lions) and an artiodactylid (domestic goat) showed SpikeVet™‐immunized animals developed serum antibodies able to neutralize a range of SARS‐CoV‐2 variants, including the vaccine‐homologous Wuhan and Mu variants, as well as vaccine‐heterologous Omicron BA.2 and XBB.1 strains. Prior to vaccination, all eight lions were seropositive for Wuhan strain by surrogate viral neutralization testing, suggesting past infection with SARS‐CoV‐2 or cross‐reactive antibodies generated by another closely related coronavirus. These results from a range of zoo species support the ongoing development of SpikeVet™ as a safe and effective veterinary SARS‐CoV‐2 vaccine. [ABSTRACT FROM AUTHOR]

The estimation of spatial heterogeneity within real estate markets holds significant importance in house price modelling. However, employing a single or straightforward distance to measure spatial proximity is probably insufficient in complex urban areas, thereby resulting in an inadequate modelling of spatial heterogeneity. To address this issue, this paper incorporates multiple distance measures within a neural network framework to achieve an optimized measure of spatial proximity (OSP). Consequently, a geographically neural network weighted regression model with optimized measure of spatial proximity (osp-GNNWR) is devised for the purpose of spatially heterogeneous modeling. Trained as a unified model, osp-GNNWR obviates the need for separate pretraining of OSP. This enables OSP to delineate the modeled spatial process through a post hoc calculated value. Through simulation experiments and a real-world case study on house prices, the proposed model reaches more accurate descriptions of diverse spatial processes and exhibits better overall performance. The interpretable results of the case study in Wuhan demonstrate the efficacy of the osp-GNNWR model in addressing spatial heterogeneity within real estate markets, suggesting its potential for modelling and predicting complex geographical phenomena. [ABSTRACT FROM AUTHOR]

Community roads are crucial for efficient navigation in residential areas. However, current navigation maps often lack comprehensive coverage of these roads. To address this issue, we present a Human-Flow Model (HFM) to identify roads within residential communities by utilizing abundant low-frequency trajectory data from human movements. First, the HFM leverages human movement density in residential zones to estimate the likelihood of road existence. Using the probability distribution of human movement and neighboring building footprints, we construct a Human-Flow Probability Field (HFPF), which serves as a distribution representation for modeling human movement within densely populated built-up areas. Then, the flow paths are extracted from the HFPF using hydrological analysis techniques, which facilitates the identification of main paths and smaller branches within the community road network. Finally, the road network is refined using morphological methods. Our model was tested using six residential communities located in Wuhan, China. It consistently outperformed other methods by detecting more roads with higher accuracy, especially intricate branches. By incorporating flow semantics, our model capitalizes on sparse trajectory data to enhance the fine-scale community road networks. This improvement enhances the last-mile navigation experience in sustainable cities, contributing to overall urban mobility and convenience for residents. [ABSTRACT FROM AUTHOR]

The reoccurrence of successive waves of SARS-CoV-2 variants suggests the exploration of more vaccine alternatives is imperative. Modified vaccinia virus Ankara (MVA) is a virus vector exhibiting excellent safety as well as efficacy for vaccine development. Here, a series of recombinant MVAs (rMVAs) expressing monomerized or trimerized S proteins from different SARS-CoV-2 variants are engineered. Trimerized S expressed from rMVAs is found predominantly as trimers on the surface of infected cells. Remarkably, immunization of mice with rMVAs demonstrates that S expressed in trimer elicits higher levels of binding IgG and IgA, as well as neutralizing antibodies for matched and mismatched S proteins than S in the monomer. In addition, trimerized S expressed by rMVA induces enhanced cytotoxic T-cell responses than S in the monomer. Importantly, the rMVA vaccines expressing trimerized S exhibit superior protection against a lethal SARS-CoV-2 challenge as the immunized animals all survive without displaying any pathological conditions. This study suggests that opting for trimerized S may represent a more effective approach and highlights that the MVA platform serves as an ideal foundation to continuously advance SARS-CoV-2 vaccine development. IMPORTANCE MVA is a promising vaccine vector and has been approved as a vaccine for smallpox and mpox. Our analyses suggested that recombinant MVA expressing S in trimer (rMVA-ST) elicited robust cellular and humoral immunity and was more effective than MVA-S-monomer. Importantly, the rMVA-ST vaccine was able to stimulate decent cross-reactive neutralization against pseudoviruses packaged using S from different sublineages, including Wuhan, Delta, and Omicron. Remarkably, mice immunized with rMVA-ST were completely protected from a lethal challenge of SARS-CoV-2 without displaying any pathological conditions. Our results demonstrated that an MVA vectored vaccine expressing trimerized S is a promising vaccine candidate for SARS-CoV-2 and the strategy might be adapted for future vaccine development for coronaviruses. [ABSTRACT FROM AUTHOR]

Purpose: After the identification of a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at Wuhan, China, a pandemic was widely spread worldwide. In Italy, about 240,000 people were infected because of this virus including 34,721 deaths until the end of June 2020. To control this new pandemic, epidemiologists recommend the enforcement of serious mitigation measures like country lockdown, contact tracing or testing, social distancing and self-isolation. Design/methodology/approach: This paper presents the most popular epidemic model of susceptible (S), exposed (E), infected (I) and recovered (R) collectively called SEIR to understand the virus spreading among the Italian population. Findings: Developed SEIR model explains the infection growth across Italy and presents epidemic rates after and before country lockdown. The results demonstrated that follow-up of strict measures such that country lockdown along with high testing is making Italy practically a pandemic-free country. Originality/value: These models largely help to estimate and understand how an infectious agent spreads in a particular country and how individual factors can affect the dynamics. Further studies like classical SEIR modeling can improve the quality of data and implementation of this modeling could represent a novelty of epidemic models. [ABSTRACT FROM AUTHOR]

Pregnant women represent a high‐risk population for Severe Acute Respiratory Syndrome Coronavirus‐2 (SARS‐CoV‐2) infection. The presence of SARS‐CoV‐2 has been reported in placenta from infected pregnant women, but whether the virus influences placenta immune response remains unclear. We investigated the properties of maternal–fetal interface macrophages (MFMs) in a cohort of unvaccinated women who contracted coronavirus disease 2019 (COVID‐19) during their pregnancy. We reported an infiltration of CD163+ macrophages in placenta from COVID‐19 women 19 whereas lymphoid compartment was not affected. Isolated MFMs exhibited nonpolarized activated signature (NOS2, IDO1, IFNG, TNF, TGFB) mainly in women infected during the second trimester of pregnancy. COVID‐19 during pregnancy primed MFM to produce type I and III interferon response to SARS‐CoV‐2 (Wuhan and δ strains), that were unable to elicit this in MFMs from healthy pregnant women. COVID‐19 also primed SARS‐CoV‐2 internalization by MFM in an angiotensin‐converting enzyme 2‐dependent manner. Activation and recall responses of MFMs were influenced by fetal sex. Collectively, these findings support a role for MFMs in the local immune response to SARS‐CoV‐2 infection, provide a basis for protective placental immunity in COVID‐19, and highlight the interest of vaccination in pregnant women. [ABSTRACT FROM AUTHOR]

Coronavirus spread in Wuhan, China, in December 2019. A few weeks later, the virus was present in over 100 countries around the globe. Governments have adopted extreme measures to contain the spreading virus. Quarantine is considered the most effective way to control the spreading speed of COVID-19. In this study, a mathematical model is developed to explore the influence of quarantine and the latent period on the spatial spread of COVID-19. We use the mathematical model with quarantine, and delay to predict the spreading speed of the virus. In particular, we transform the model to a single integral equation and then apply the Laplace transform to find implicit equations for the spreading speeds. The basic reproduction number of COVID-19 is also found and calculated. Numerical simulations are performed to confirm our theoretical results. To validate the proposed model, we compare our outcomes with the actual reported data published by the National Health Commission of China and the Health Commission of local governments. The model demonstrates good qualitative agreement with the actual data reported. The results show that delay and quarantine highly influence the spreading speeds of COVID-19. Also, we can only contain the disease if we quarantine 75% of the infected people. [ABSTRACT FROM AUTHOR]

Urban wetlands represent a significant ecosystem type within urban landscapes. The quantitative assessment of their ecological service value holds great significance in guiding and improving the urban habitat. However, due to the insufficient spatial resolution of traditional low-to-medium resolution remote sensing imagery for surface monitoring, previous studies have conducted relatively limited research on the ecosystem services of urban wetlands. In this paper, based on multi-source data including multi-scale remote sensing data, a spatial-temporal fusion model and multiple ecological parameter inversion models were employed to invert three key ecological parameters at high spatial resolution, thereby assessing the ecosystem service values (ESVs) of urban wetlands. Taking the East Lake Scenic Area (ELSA) in Wuhan as an example, the dynamics of its ecosystem services' value components were comparatively analyzed. The results indicate that, while the total value of ecosystem services declined slightly in 2015 compared to 2011, there was a notable increase in their value to CNY 3.219 billion by 2019, which represents a doubling of the total value relative to 2011. This trend could be primarily attributed to a significant rise in cultural services within the region. Specifically, the value of tourism services reached CNY 2.090 billion in 2019, representing a threefold increase compared to 2011. This demonstrates that ecosystem services in the ELSA have been significantly optimized and enhanced through associated ecological projects. Further research should investigate the mechanisms by which urbanization affects these crucial ecosystem services, particularly the characterization of cultural services in urban wetlands, and develop more effective strategies to enhance urban resilience and sustainable development. [ABSTRACT FROM AUTHOR]

The study of the factors affecting the heat island effect was significantly influenced by the effect of the modifiable areal unit problem (MAUP), which led to uncertainty in the results. Taking the main urban area of Wuhan City as an example, we constructed a multidimensional urban spatial morphology index system based on multi-source spatial data of urban land use and buildings, explored the response characteristics of geographic detectors to the modifiable areal unit problem (MAUP) effect, analyzed the driving forces and factors of the spatial differentiation of urban thermal environment, proposed optimal regulation strategies to mitigate urban surface thermal environment. The results show that MAUP has strong sensitivity to the detection results of urban heat island effect factors, and different research units and partitioning methods will affect the research results. Factor detection analysis shows that the explanatory power of 3D spatial morphological indicators on urban heat island effect is greater than that of 2D urban land use indicators, and building density is the dominant driver of spatial differentiation of surface thermal environment. The interaction detection analysis shows that the spatial differentiation of the surface thermal environment in the main urban area of Wuhan is a synergistic process between different influencing factors, and the interaction between two-dimensional indicators and between two-dimensional and three-dimensional indicators is significantly greater than the single-factor effect. The study of the spatial differentiation of urban spatial morphology on the surface thermal environment provides theoretical support for the coordinated optimization of multi-dimensional urban spatial morphology to mitigate the heat island effect. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to examine prospective associations of different intensity levels and types of physical activity (PA) in early pregnancy with premature rupture of membranes (PROM) among Chinese pregnant women. Methods: A total of 6284 pregnant women were included from the Tongji-Shuangliu Birth Cohort. Household/caregiving, occupational, sports/exercise and transportation activities during early pregnancy were investigated by the pregnancy physical activity questionnaire (PPAQ), and the diagnosis of PROM was ascertained during the whole pregnancy. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence interval (CI) for the associations between PA and PROM. Results: Among the 6284 pregnant women, 1246 were identified to have PROM (19.8%). Women undertaking the highest level (3 third tertile) of PA during pregnancy appeared to have a lower risk of PROM [OR = 0.68, 95%CI 0.58–0.80) when compared to those at the lowest tertile of PA. Similarly, women with increased levels of light intensity activity, moderate-vigorous intensive, household/caregiving activity and meeting exercise guidelines during pregnancy were associated with reduced risks of PROM (OR = 0.69, 95% CI 0.59–0.81, OR = 0.70, 95% CI 0.60–0.82, OR = 0.62, 95% CI 0.53–0.73 and OR = 0.82, 95% CI 0.70–0.97, respectively). Conclusions: High levels of PA of different intensities and PA of household/caregiving activities and meeting exercise guidelines during the first trimester were associated with a lower incidence of PROM. Trial registration: The data of human participants in this study were conducted in accordance with the Helsinki Declaration. This study has been approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ([2017] No. S225). All participants provided written informed consent prior to enrollment. A statement to confirm that all methods were carried out in accordance with relevant guidelines and regulations. [ABSTRACT FROM AUTHOR]

The transformation of lakefronts from spaces of privatization and contamination to vibrant public areas signifies a significant urban shift in Wuhan over the past 2 decades. This article explores a shift toward integrating bottom-up participatory approaches to sustainable environmental management with the top-down planning system amid this profound urban transition. By examining the unintended planning consequences and civic actions across Sha Lake and Dong Lake, this study uncovers a complex urban process marked by conflicts over waste management, property rights, and cultural identity issues at the water-land interface. In this process, new forms of civic participation emerged in Wuhan’s environmental management in the digital age, despite the lack of official participatory mechanisms. The study identifies parallels in the formalization of community engagements between Wuhan and other locales, notwithstanding China’s continued dominance of centralized governance, as middle-class activists increasingly play active roles in environmental management projects, utilizing skills, networks, and dedication. [ABSTRACT FROM AUTHOR]

Understanding the transcriptional regulatory characteristics throughout the embryogenesis of plant-parasitic nematodes is crucial for elucidating their developmental processes' uniqueness. However, a challenge arises due to the lack of suitable technical methods for synchronizing the age of plant-parasitic nematodes embryo, it is difficult to collect detailed transcriptome data at each stage of embryonic development. Here, we recorded the 11 embryonic developmental time-points of endophytic nematode Meloidogyne incognita (isolated from Wuhan, China), Heterodera glycines (isolated from Wuhan, China), and Ditylenchus destructor (isolated from Jinan, China) species, and constructed transcriptome datasets of single embryos of these three species utilizing low-input smart-seq2 technology. The datasets encompassed 11 complete embryonic development stages, including Zygote, 2-cell, 4-cell, 8-cell, 24–44 cell, 64–78 cell, Comma, 1.5-fold, 2-fold, Moving, and L1, each stage generated four to five replicates, resulting in a total of 162 high-resolution transcriptome libraries. This high-resolution cross-species dataset serves as a crucial resource for comprehending the embryonic developmental properties of plant-parasitic nematodes and for identifying functional regulatory genes during embryogenesis. [ABSTRACT FROM AUTHOR]

With the continuous emergence of coronavirus disease 2019 (COVID-19) waves, the scientific community has developed a vaccine that offers broad-spectrum protection at virus-targeted organs for inhibiting the transmission and protection of disease development. In the present study, a bivalent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine containing receptor-binding domain (RBD) protein of spike from Wuhan-1 and omicron BA.1 loaded in nanoparticles, bivalent RBD NPs, was developed. The immunogenicity and protective efficacy of this vaccine candidate were evaluated using an in vivo model. Results showed that mice that received intranasal cGAMP-adjuvanted bivalent RBD-NPs vaccine elicited robust and durable antibody responses. The stimulated antibody broadly neutralized the ancestral strain and variants of concerns (delta and omicron BA.1) in the upper and lower respiratory tracts. Furthermore, the immunized mice developed T-cell response in their lung tissue. Importantly, intranasal immunization with this vaccine candidate efficiently protected mice from nasal infection caused by both Wuhan-1 and BA.1 viruses. Immunized mice that remained susceptible to nasal infection did not develop any symptoms. This is because activated responses in the nasal cavity significantly suppressed virus production. Another word is this nasal vaccine completely protected the mice from disease development and mortality. Therefore, the bivalent RBD vaccine platform has potential to be developed into an anti-SARS-CoV-2 universal vaccine. [ABSTRACT FROM AUTHOR]

Background: COVID-19 is a pandemic caused by nCoV-2019, a new beta-coronavirus from Wuhan, China, that mainly affects the respiratory system and can be modulated by nutrition. Methods: This review aims to summarize the current literature on the association between dietary intake and serum levels of micronutrients, malnutrition, and dietary patterns and respiratory infections, including flu, pneumonia, and acute respiratory syndrome, with a focus on COVID-19. We searched for relevant articles in various databases and selected those that met our inclusion criteria. Results: Some studies suggest that dietary patterns, malnutrition, and certain nutrients such as vitamins D, E, A, iron, zinc, selenium, magnesium, omega-3 fatty acids, and fiber may have a significant role in preventing respiratory diseases, alleviating symptoms, and lowering mortality rates. However, the evidence is not consistent and conclusive, and more research is needed to clarify the mechanisms and the optimal doses of these dietary components. The impact of omega-3 and fiber on respiratory diseases has been mainly studied in children and adults, respectively, and few studies have examined the effect of dietary components on COVID-19 prevention, with a greater focus on vitamin D. Conclusion: This review highlights the potential of nutrition as a modifiable factor in the prevention and management of respiratory infections and suggests some directions for future research. However, it also acknowledges the limitations of the existing literature, such as the heterogeneity of the study designs, populations, interventions, and outcomes, and the difficulty of isolating the effects of single nutrients from the complex interactions of the whole diet. [ABSTRACT FROM AUTHOR]

Objectives: The rising of antibiotic resistance has sparked a renewed interest in mycobacteriophage as alternative therapeutic strategies against mycobacterial infections. So far, the vast majority of mycobacteriophages have been isolated using the model species Mycobacterium smegmatis, implying an overwhelming majority of mycobacteriophages in the environment remain uncultured, unclassified, and their specific hosts and infection strategies are still unknown. This study was undertaken to isolate and characterize novel mycobacteriophages targeting Mycobacterium septicum. Data description: Here a novel mycobacteriophage WXIN against M. septicum was isolated from soil samples in Wuhan, China. Whole genome analysis indicates that the phage genome consists of 115,158 bp with a GC content of 61.9%. Of the 260 putative open reading frames, 46 may be associated with phage packaging, structure, lysis, lysogeny, genome modification/replication, and other functional roles. The limited genome-wide similarity, along with phylogenetic trees constructed based on viral proteome and orthologous genes show that phage WXIN represents a novel cluster distantly related to cluster J mycobacteriophages (genus Omegavirus). Overall, these results provide novel insights into the genomic properties of mycobacteriophages, highlighting the great genetic diversity of mycobacteriophages in relation to their hosts. [ABSTRACT FROM AUTHOR]

Human infection with the coronavirus disease 2019 (COVID-19) is mediated by the binding of the spike protein of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to the human angiotensin-converting enzyme 2 (ACE2). The frequent mutations in the receptor-binding domain (RBD) of the spike protein induced the emergence of variants with increased contagion and can hinder vaccine efficiency. Hence, it is crucial to better understand the binding mechanisms of variant RBDs to human ACE2 and develop efficient methods to characterize this interaction. In this work, we present an approach that uses machine learning to analyze the molecular dynamics simulations of RBD variant trajectories bound to ACE2. Along with the binding free energy calculation, this method was used to characterize the major differences in ACE2-binding capacity of three SARS-CoV-2 RBD variants—namely the original Wuhan strain, Omicron BA.1, and the more recent Omicron BA.5 sublineages. Our analyses assessed the differences in binding free energy and shed light on how it affects the infectious rates of different variants. Furthermore, this approach successfully characterized key binding interactions and could be deployed as an efficient tool to predict different binding inhibitors to pave the way for new preventive and therapeutic strategies. [ABSTRACT FROM AUTHOR]

Background: In early infected or severe coronavirus disease 2019 (COVID-19) patients, circulating NK cells are consistently reduced, despite being highly activated or exhausted. The aim of this paper was to establish whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike glycoprotein (SP) may directly trigger NK cells and through which receptor(s). Methods: SP-stimulated human NK cells have been evaluated for the expression of activation markers, cytokine release, and cytotoxic activity, as well as for gene expression profiles and NF-κB phosphorylation, and they have been silenced with specific small interfering RNAs. Results: SPs from the Wuhan strain and other variants of concern (VOCs) directly bind and stimulate purified NK cells by increasing activation marker expression, cytokine release, and cytolytic activity, prevalently in the CD56brightNK cell subset. VOC-SPs differ in their ability to activate NK cells, G614, and Delta-Plus strains providing the strongest activity in the majority of donors. While VOC-SPs do not trigger ACE2, which is not expressed on NK cells, or other activating receptors, they directly and variably bind to both Toll-like receptor 2 (TLR2) and TLR4. Moreover, SP-driven NK cell functions are inhibited upon masking such receptors or silencing the relative genes. Lastly, VOC-SPs upregulate CD56dimNK cell functions in COVID-19 recovered, but not in non-infected, individuals. Conclusions: TLR2 and TLR4 are novel activating receptors for SP in NK cells, suggesting a new role of these cells in orchestrating the pathophysiology of SARS-CoV-2 infection. The pathogenic relevance of this finding is highlighted by the fact that free SP providing NK cell activation is frequently detected in a SARS-CoV-2 inflamed environment and in plasma of infected and long-COVID-19 subjects. [ABSTRACT FROM AUTHOR]