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9870 thousand people develop tuberculosis (TB) in 2020. Despite being a preventable as well as curable communicable disease, tuberculosis still is the leading communicable disease killer globally. The WHO's End TB Strategy envisions a world free of TB, zero deaths, disease, and suffering due to tuberculosis by 2035. China ranks second for TB cases globally. Over the past 20 years, China has made remarkable achievements in tuberculosis control, with the prevalence and mortality rate of tuberculosis reduced by half compared with 1990. China has achieved the United Nations Millennium Development Goals on tuberculosis control 5 years ahead of schedule. However, in spite of concerted international, regional, and national efforts to address tuberculosis in China, the tuberculosis burden in China is still high. At the same time, China also faces problems such as the high burden of latent TB infection, rifampicin-resistant/ multidrug-resistant tuberculosis, and low detection rate of tuberculosis. China needs to further improve the quality of tuberculosis control work to reduce the incidence of tuberculosis and ultimately achieve the goal of ending tuberculosis. © People's Medical Publishing House, PR of China 2022.
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Objective Based on text mining technology and biomedical database, data mining and analysis of coronavirus disease 2019 (COVID-19) were carried out, and COVID-19 and its main symptoms related to fever, cough and respiratory disorders were explored. Methods The common targets of COVID-19 and its main symptoms cough, fever and respiratory disorder were obtained by GenCLiP 3 website, Gene ontology in metascape database (GO) and pathway enrichment analysis, then STRING database and Cytoscape software were used to construct the protein interaction network of common targets, the core genes were screened and obtained. DGIdb database and Symmap database were used to predict the therapeutic drugs of traditional Chinese and Western medicine for the core genes. Results A total of 28 gene targets of COVID-19 and its main symptoms were obtained, including 16 core genes such as IL2, IL1B and CCL2. Through the screening of DGIdb database, 28 chemicals interacting with 16 key targets were obtained, including thalidomide, leflunomide and cyclosporine et al. And 70 kinds of Chinese meteria medica including Polygonum cuspidatum, Astragalus membranaceus and aloe. Conclusion The pathological mechanism of COVID-19 and its main symptoms may be related to 28 common genes such as CD4, KNG1 and VEGFA, which may participate in the pathological process of COVID-19 by mediating TNF, IL-17 and other signal pathways. Potentially effective drugs may play a role in the treatment of COVID-19 through action related target pathway.Copyright © 2022 Tianjin Press of Chinese Herbal Medicines. All Rights Reserved.
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Rainbow trout (Oncorhynchus mykiss) are currently consumed as live fish, primarily for catering or consumers, as an alternative to salmon in sashimi or dishes. However, Covid-19 has hampered store and restaurant operations. Therefore, developing suitable processing conditions to extend its shelf life, such as online distribution specifications while enhancing the filets' commercial value, would raise its production value. In this study, we investigated the fish filets salted in a 5% salt solution for 2 days and then smoked at 65 degrees C for 4 h under different storage conditions. As result, the higher rate of salt penetration and water loss in the resolved rigor mortis group was associated with tenderization of the meat compared to the rigor mortis group. Thermal-shrinkage and thermal-induced tissue destruction of the smoked fish filets during processing which affects the appearance, flavor, chewiness and overall acceptability. Nevertheless, according to the results of a consumer-type evaluation, the product characteristics of the fish filets from the resolution of rigor mortis group were consistent with those of the rigor mortis group, except for a weaker aroma. Thus, these results explain the relationship between frozen stored fish and the quality of processed products. The economic concept of regulating and distributing scheduling production between raw materials and finished products in the food industry conveys promising findings that will contribute to developing sustainable food processing systems.
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Over the past 3 years, the global construction sector has been severely affected by the noxious coronavirus (COVID-19) pandemic. Visionary construction stakeholders, including governments, practitioners, and academia, all have been actively devising strategies to deal with the crisis caused by the pandemic. Despite the rich contributions by academia, an in-depth review of their research works to understand how the pandemic has been handled to position the construction industry for post-pandemic actions and future pandemics is hitherto lacking. Hence, an up-to-date literature review is conducted in this study to better understand this terra incognita. It does so by adopting a six-step thematic analysis of 159 empirical peer-reviewed research articles in relation to COVID-19 on construction. The review discovered a growing research interest from different countries from 2020 to 2022. The existing studies can be put under four major topics, namely the COVID-19 impacts, challenges and opportunities, responding strategies, and post-COVID-19 interventions. A framework consisting of four categories of responding strategies, namely vaccination, personal responsibility of workers, government-instructional practices, and organisation-based approaches, is proposed through the lens of the socio-technical system theory to handle the pandemic crisis in construction. Limitations of the existing studies were further identified. Four pertinent research directions were finally proposed: building upon and testing the proposed COVID-19 response framework, adoption of more advanced innovative strategies to increase productivity amid pandemics and survive the risk of future pandemics, beyond the technological response to COVID-19 in construction, and post-pandemic view of the construction industry. This study contributes to the knowledge body by providing a candid evaluation of the knowledge contributed by academia to deal with the risks of future pandemics in the global construction industry. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
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Objective: To predict the protection probability of different clinical outcomes after reinfection with Omicron variant in symptomatic and unvaccinated COVID-19 patients who infected with prototype strain. Methods: The data used in this study were derived from a systematic review and meta-analysis which systematically searched PubMed, Embase, Web of Science, and Europe PMC databases, included published and uploaded studies of dynamic changes of neutralizing antibodies in symptomatic COVID-19 patients from 1 January 2020 to 2 October 2022 and extracted the literature information, study design, serological experiment information and antibody results. According to the scatter distribution characteristics of antibody titer data, a generalized additive model based on Gaussian distribution was used to fit the titer value of neutralizing antibody based on logarithmic conversion and the dynamic change pattern of neutralizing antibody in symptomatic and unvaccinated COVID-19 patients infected with prototype strain over time was obtained. In this study, the fitted antibody titers of patients on the 28th, 51st, and 261st day after symptom onset was selected to predict the protection probability. Results: Neutralizing antibodies produced in symptomatic and unvaccinated patients infected with prototype strain could provide protection against Omicron reinfection, and the probability of protection gradually decreased with time. Neutralizing antibody level on day 28 after symptom onset provided protection probability of 30.3% (95%CI: 20.0%-45.5%) against reinfection, 51.5% (95%CI: 33.4%-75.9%) against symptomatic reinfection, and 91.2% (95%CI: 77.1%-97.7%) against severe reinfection caused by Omicron BA.5. The protection probability against Omicron BA.1, BA.4 and BA.5 reinfections decreased significantly 261 days after symptom onset, showing 9.6%-12.9%, 18.4%-23.9% and 63.1%-70.3% against three clinical outcomes, respectively. At the same time point and against the same clinical outcome, the protection probability of BA.1 was the highest, followed by BA.4 and BA.5. Conclusions: Neutralizing antibodies induced in symptomatic and unvaccinated COVID-19 patients previously infected with the prototype strain have limited protection probability against Omicron BA.5 reinfections and symptomatic reinfections. The protection probability against Omicron BA.5 reinfections is 30.3% 28 days after symptom onset and decreases to about 10% after 261 days. However, the protection probability against severe reinfections is considerable, with over 90% 28 days after symptom onset and still exceeding 60% after 261 days.
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COVID-19 , Reinfection , Humans , SARS-CoV-2 , Antibodies, Neutralizing , Probability , Antibodies, ViralABSTRACT
Objective To estimate the protection probability against SARS-CoV-2 variant Omicron strains BA.1, BA.2 and BA.5 infection, symptomatic infection and severe disease outcomes in asymptomatic individuals infected with SARS-CoV-2 prototype strain previously. Methods Our previous study had shown that the dynamic change of neutralizing antibodies in asymptomatic individuals infected with the SARS-CoV-2 prototype strain. Based on our previous study, a peer–reviewed predictive model on the basis of logistic model was used to estimate the protection probability of asymptomatic individuals against Omicron strains BA.1, BA.2 and BA.5. We estimate the protection probability against infection, symptomatic infection and severe disease outcomes on 28, 51 and 261 days after confirmation. Results The protection probability against reinfection of Omicron variant strains BA.1, BA.2, and BA.5 on 28 days after confirmation were 30% (95% CI: 16%–52%) , 23% (95% CI: 15%–36%) and 8% (95% CI: 4%–16%) respectively, while decreased to 9% (95% CI: 3%–21%) , 6% (95% CI: 3%–12%) and 2% (95% CI: 1%–4%) on 261 days after confirmation. The protection probability against symptomatic infection of Omicron strains BA.1, BA.2, and BA.5 were 51% (95% CI: 28%–80%) , 42% (95% CI: 26%–67%) and 16% (95% CI: 7% – 40%) respectively on 28 days after confirmation, while decreased to 16% (95% CI: 7%–35%) , 12% (95% CI: 7% – 22%) and 3% (95% CI: 1% – 8%) on 261 days after confirmation. The protection probability against severe disease of Omicron strains BA.1, BA.2, and BA.5 were 91% (95% CI: 72%–98%) , 88% (95% CI: 70%–97%) and 66% (95% CI: 35%–90%) respectively on 28 days after confirmation, while decreased to 60% (95% CI: 35%–86%) , 51% (95% CI: 32%–75%) and 22% (95% CI: 10%–50%) on 261 days after confirmation. Conclusions Neutralizing antibodies induced in asymptomatic individuals infected with prototype strain could provide higher protection against Omicron strain BA.5 than Omicron strains BA.1 and BA.2. Among the three clinical outcomes, the protective probability against severe disease outcome was better, followed by symptomatic infection, and the protective probability against infection was poor. © 2023, Publication Centre of Anhui Medical University. All rights reserved.
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The novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is causing coronavirus disease 2019 (COVID-19) pandemic. Ancient Chinese herbal formulas are effective for diseases caused by viral infection, and their effects on COVID-19 are currently being examined. To directly evaluate the role of Chinese herbs in inhibiting replication of SARS-CoV-2, we investigated how the phytochemicals from Chinese herbs interact with the viral RNA-dependent RNA polymerase (RdRP). Total 1025 compounds were screened, and then 181compounds were selected for molecular docking analysis. Four phytochemicals licorice glycoside E, diisooctyl phthalate, (-)-medicocarpin, and glycyroside showed good binding affinity with RdRp. The best complex licorice glycoside E/RdRp forms 3 hydrogen bonds, 4 hydrophobic interactions, 1 pair of Pi-cation/stacking, and 4 salt bridges. Furthermore, docking complexes licorice glycoside E/RdRp and diisooctyl phthalate/RdRp were optimized by molecular dynamics simulation to obtain the stable conformation. These studies indicate that they are promising as antivirals against SARS-CoV-2.Copyright © The Author(s) 2022.
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Densely occupied spaces (e.g., classrooms) are generally over-crowded and pose a high risk of cross-infection during the pandemic of COVID-19. Among various ventilation systems, impinging jet ventilation (IJV) system might be promising for such spaces. However, the exhaust location of the IJV system used for densely occupied classrooms is unclear. This study aims to investigate the effects of exhaust location on the removal of exhaled contaminants in a classroom (15 × 7 × 5 m3) occupied by 50 students. Exhaled contaminants are modeled by a tracer gas released at the top of each manikin. The reference case has three exhausts evenly distributed in the ceiling. The results indicate that: a) a recirculation airflow entraining exhaled contaminants exists above the occupied zone;b) this recirculation air flow entrains contaminants and accumulates them at the upper part of the room near the diffuser;c) locating merely one exhaust on the same side of the supply diffuser leads to the best indoor air quality, i.e., it reduces the mean age of air from 278 s to 243 s, the mass fraction of CO2 from 753 ppm to 726 ppm, and the concentration of tracer gas from 305 ppm to 266 ppm;d) this layout still performs the best when the supply velocity drops to 0.5 m/s. It is worth noting that the proposed layout has fewer exhausts than the reference case but performs better. These results conclude that the exhaust for large spaces is not evenly distributed but depends on the indoor airflow pattern: the key is locating the exhaust near the region with high contaminant concentration. Factors determining the recirculation airflow are suggested to be further studied. © 2023 Elsevier Ltd
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With the growth and development of COVID-19 and its variants, reaching a level of herd immunity is critically important for national security in public health. To deal with COVID-19, the United States has implemented phased plans to distribute COVID-19 vaccines. As of November 2022, over 80% of Americans had received their first shot to guard against COVID-19, and 68.6% were considered fully vaccinated, according to the dataset provided by CDC. However, a significant number of American people still hesitate to receive a shot of the COVID-19 vaccine. This paper aims to demystify COVID-19 vaccine hesitancy by analyzing various socioeconomic characteristics among individuals and communities, including unemployment rate, age groups, median household income, and education level. A multiple regression modeling and data visualization analysis show patterns with an increasing trend of vaccine hesitancy associated with a lower median household income, a younger age group, and a lower education level, which would help policymakers to make policies accordingly to target vaccine support information and remove this hurdle to end the COVID-19 pandemic effectively. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The assessment of the health risks of volatile organic compounds (VOCs) emitted from landfills via dispersion model is crucial but also challenging because of remarkable variations in their emissions and meteorological conditions. This study used a probabilistic approach for the assessment of the health risks of typical VOCs by combining artificial neural network models for emission rates and a numerical dispersion model enhanced by probability analysis. A total of 8753 rounds of simulation were performed with distributions of waste compositions and the valid hourly meteorological conditions for 1 year. The concentration distributions and ranges of the typical health-risky VOCs after dispersion were analyzed with 95% probability. The individual and cumulative non-carcinogenic risks of the typical VOCs were acceptable with all values less than 1 in the whole study domain. For individual carcinogenic risks, only ethylbenzene, benzene, chloroform, and 1, 2-dichloroethane at extreme concentrations showed minor or moderate risks with a probability of 0.1%-1% and an impact distance of 650-3000 m at specific directions. The cumulative carcinogenic risks were also acceptable at 95% probability in the whole study domain, but exceeded 1 x 10-6 or even 1 x 10-4 at some extreme conditions, especially within the landfill area. The vertical patterns of the health risks with height initially increased, and then decreased rapidly, and the peak values were observed around the height of the emission source. The dispersion simulation and health risk assessment of the typical health-risky VOCs enhanced by Monte Carlo can accurately reflect their probabilistic dispersion patterns and health risks to surrounding residents from both spatial and temporal dimensions. With this approach, this study can provide important scientific basis and technical support for the health risk assessment and management of landfills.Copyright © 2022 Elsevier Ltd
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Objective To estimate the protection probability against SARS-CoV-2 variant Omicron strains BA.1, BA.2 and BA.5 infection, symptomatic infection and severe disease outcomes in asymptomatic individuals infected with SARS-CoV-2 prototype strain previously. Methods Our previous study had shown that the dynamic change of neutralizing antibodies in asymptomatic individuals infected with the SARS-CoV-2 prototype strain. Based on our previous study, a peer-reviewed predictive model on the basis of logistic model was used to estimate the protection probability of asymptomatic individuals against Omicron strains BA.1, BA.2 and BA.5. We estimate the protection probability against infection, symptomatic infection and severe disease outcomes on 28, 51 and 261 days after confirmation. Results The protection probability against reinfection of Omicron variant strains BA.1, BA.2, and BA.5 on 28 days after confirmation were 30% (95% CI: 16%-52%) , 23% (95% CI: 15%-36%) and 8% (95% CI: 4%-16%) respectively, while decreased to 9% (95% CI: 3%-21%) , 6% (95% CI: 3%-12%) and 2% (95% CI: 1%-4%) on 261 days after confirmation. The protection probability against symptomatic infection of Omicron strains BA.1, BA.2, and BA.5 were 51% (95% CI: 28%-80%) , 42% (95% CI: 26%-67%) and 16% (95% CI: 7% - 40%) respectively on 28 days after confirmation, while decreased to 16% (95% CI: 7%-35%) , 12% (95% CI: 7% - 22%) and 3% (95% CI: 1% - 8%) on 261 days after confirmation. The protection probability against severe disease of Omicron strains BA.1, BA.2, and BA.5 were 91% (95% CI: 72%-98%) , 88% (95% CI: 70%-97%) and 66% (95% CI: 35%-90%) respectively on 28 days after confirmation, while decreased to 60% (95% CI: 35%-86%) , 51% (95% CI: 32%-75%) and 22% (95% CI: 10%-50%) on 261 days after confirmation. Conclusions Neutralizing antibodies induced in asymptomatic individuals infected with prototype strain could provide higher protection against Omicron strain BA.5 than Omicron strains BA.1 and BA.2. Among the three clinical outcomes, the protective probability against severe disease outcome was better, followed by symptomatic infection, and the protective probability against infection was poor.Copyright © 2023, Publication Centre of Anhui Medical University. All rights reserved.
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The aim of this paper was to prepare specific monoclonal antibody (mAb) against African swine fever virus (ASFV) p54 protein. The p54 protein was expressed in Escherichia coli expression system and used as the antigen in mAb production. The spleen cells from the immunized BALB/c mice were fused with myeloma cells SP2/0. To screen the positive hybridoma cells, the purified p54 protein was used as envelope antigen for indirect ELISA. After four times' subcloning, the supernatant of hybridoma cells were used to identify mAb subtype, ascites were prepared via in vivo induction method in mice and then the mAb was purified. The titer of the mAb was detected by indirect ELISA, and the specificity of the mAb was identified by cross reactivity assay, IFA and Western blot. According to the predicted secondary structure of p54 protein, using the stepwise truncation method identified the epitope region of mAbs, and labeled the region in tertiary structure of p54 protein. Results were as follows: six hybridoma cells secreting p54 monoclonal antibody were successfully screened and named 28G12-1, 31G7-1, 31G7-2, 35F10-1, 35F10-2, 38D3-1, respectively. The heavy chains of 28G12-1, 31G7-1, and 31G7-2 were IgG2a type, the heavy chains of 35F10-1, 35F10-2, 38D3-1 were IgG1 type, light chains were all kappa chains. The lowest titer of mAb was 1:25 600, and having no cross reaction with PRRSV, PRV, PEDV, PPV, SADS-CoV, PCV2, the specificity was strong. All six monoclonal antibodies could recognize the 127-146 aa on carboxyl end. In this study, ASFV p54 protein and p54 monoclonal antibody were successfully obtained, and the epitopes of six mAbs were identified, these experimental data laid a foundation for the functional research of p54 protein and the study of ASFV epitope vaccine. Copyright © 2023 Editorial Board, Institute of Animal Science of the Chinese Academy of Agricultural Sciences. All rights reserved.
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Radiators play an important role in providing a comfortable and safe indoor environment while maintaining high-energy efficiency. In the perspective of future climate change with expected larger temperature fluctuations and the rapidly changing heat supply and demand, it is required that the current radiator technology is adaptable. The heat supply is changing towards a lower supply temperature to enable an increase in energy efficiency and an increase in the share of renewable energy. Simultaneously, both the heat supply and demand are expected to have more variations in the future. An additional concern that has come into more focus after the experience with the COVID 19 pandemic is the prevention of the spread of infection in indoor environments. Researchers have extensively studied several innovations in radiator technologies and their deployment that addresses these challenges. Some of the solutions available in the literature include floor heating, ceiling heating, ventilation radiator, stratum ventilation. Researchers have used advanced modeling and experimental techniques to understand how to deploy different types of radiator technologies. This review summarizes solutions in the literature that address these challenges and identifies knowledge gaps that need to be addressed. In particular, this study explores the gaps in knowledge of practical issues, such as the position of furniture and the position of people, which have received less attention in the literature. Research that addresses the effect of radiators on ventilation and a healthy indoor environment is also of particular interest in this review. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/)
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Work-related soft skills (e.g. requesting help and problem solving) are critical for employment success. This pilot study evaluated the feasibility of a Direct Skills Teaching (DST) group intervention to teach work-related help-seeking skills to persons with disabilities. The four-session group intervention ("Asking for Help”) was delivered in person or via telehealth to 74 participants with disabilities during COVID-19. Participants reported increased confidence with asking employers for help and reported high intervention satisfaction. In-person and telehealth soft skills groups achieved similar positive outcomes, and findings support their use to teach groups help-seeking skills with a preplanned curriculum. © 2023 ASGW.
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Introduction: Infections by viruses including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could cause viral myocarditis. Innate immunity to viral nucleic acids mediates antiviral immunity as well as inflammatory organ injury. However, the innate immune mechanisms that control the pathogenesis of viral myocarditis are unclear. Method(s): To understand the role of the E3 ligase Midline1 in controlling viral myocarditis, wild-type and Midline1 knockout mice were infected with coxsackievirus B3 (CVB3) or encephalomyocarditis (EMCV) for inducing viral myocarditis. Mice survivals and heart functions were monitored by transthoracic echocardiography, and hearts were harvested for histology analysis. Real-time PCR, western blotting, co-immunoprecipitation, enzyme-linked immunoassay, luciferase assay, flow cytometry, over-expression and knockdown techniques were used to understand the molecular mechanisms of Midline1 in regulating type I interferon production after virus infection in this study. Result(s): We find that Midline1 is induced by RNA viruses with heart tropisms CVB3 and EMCV. Knockdown or deletion of Midline1 in human or mouse macrophages enhances production of type I interferon (IFN) in response to double strand (ds) RNA, RNA viruses CVB3 or EMCV. Importantly, deletion of Midline1 protects mice from viral myocarditis induced by CVB3 or EMCV due to enhanced type I IFN production in vivo. Mechanistically, we show that Midline1 recruits protein phosphatase 1A (PPM1A) to dephosphorylate TANK binding kinase 1 (TBK1), which inactivates TBK1 to block TBK1 from interacting with its upstream adaptor mitochondrial antiviral signaling (MAVS), thereby dampening antiviral signaling during viral infections. Moreover, Midline1 stabilizes PPM1A by inducing K63-linked ubiquitination of PPM1A. Conclusion(s): Our results indicate that Midline1 serves as a negative regulator of viral myocarditis by downregulating innate immune activation induced by RNA viruses CVB3 and EMCV. Our data reveal that Midline1 is a critical regulator of innate immunity in viral myocarditis, thereby identifying a potential therapeutic target for treating viral induced cardiovascular diseases.
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Objective: To investigate the distribution characteristics of respiratory non-bacterial pathogens in children in Ningbo from 2019 to 2021. Methods: A retrospective analysis was performed on 23 733 children with respiratory tract infection who visited the department of pediatrics of Ningbo Women and Children's Hospital from July 2019 to December 2021. There were 13 509 males (56.92%) and 10 224 females (43.08%), with an age range of 1 day to 18 years old. There were 981 cases in the neonatal group (younger than 1 month old), 5 880 cases in the infant group (1 month to younger than 1 year old), 6 552 cases in the toddler group (1 to younger than 3 years old), 7 638 cases in the preschool group (3 to younger than 7 years old), and 2 682 cases in the school-age group (7 to 18 years old). Thirteen respiratory pathogens were detected by multiple polymerase chain reaction (PCR) based on capillary electrophoresis, and SPSS 23.0 software was used for statistical analysis of the results, the count data were expressed as percentages, and the χ2 test was used for comparison between groups. Results: Of the 23 733 specimens, 13 330 were positive for respiratory pathogens, with a total positive rate of 56.17%. The positive rates of human rhinovirus (HRV) 24.05% (5 707/23 733), human respiratory syncytial virus (HRSV) 10.45% (2 480/2 3733) and mycoplasma pneumoniae (Mp) 7.03% (1 668/23 733) were in the first three. The positive rates of pathogens in the male and female children were 57.47% (7 763/13 509) and 54.45% (5 567/10 224), respectively, and the difference was statistically significant (χ2=21.488, P<0.001). The positive rates in the neonatal group, infant group, toddler group, preschool group, and school-age group were 31.80% (312/981), 54.71% (3 217/5 880), 63.23% (4 143/6 552), 59.83% (4 570/7 638), 40.57% (1 088/2 682), respectively, and the difference among the groups was statistically significant (χ2=681.225, P<0.001). The single infection rate was 47.43% (11 256/23 733), the mixed infection rate of two or more pathogens was 8.74% (2 074/23 733), most of which were mixed infections of two pathogens. HRV, HADV, HCOV, Ch disseminated in the whole year. HRSV, HMPV, Boca, HPIV occurred mostly in fall and winter. The positive rates of FluA, FluB, Mp were at a low level after the corona virus disease 2019 (COVID-19) epidemic (2020 and 2021). The positive rates of FluA, H1N1, H3N2, FluB, HADV, Mp in 2020 were significantly lower than in 2019 (P<0.05). The positive rates of HPIV, HRV, HCOV, Ch in 2020 were significantly higher than in 2019 (P<0.05). The positive rates of FluA, H1N1, H3N2, HPIV, HCOV, Mp, Ch in 2021 were significantly lower than in 2020 (P<0.05). The positive rates of Boca, HMPV, HRSV in 2021 were significantly higher than in 2020 (P<0.05). Conclusion: From 2019 to 2021, the main non-bacterial respiratory pathogens of children in Ningbo City were Mp and HRV, and the detection rates of respiratory pathogens varied among different ages, seasons and genders.
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COVID-19 , Coinfection , Influenza A Virus, H1N1 Subtype , Respiratory Syncytial Virus, Human , Respiratory Tract Infections , Infant , Infant, Newborn , Child , Child, Preschool , Humans , Male , Female , Adolescent , Influenza A Virus, H3N2 Subtype , Retrospective Studies , Respiratory Tract Infections/epidemiology , Mycoplasma pneumoniaeABSTRACT
COVID-19 has become a worldwide epidemic. Prediction of COVID-19 is an effective way to control its spread. Recently, some research efforts have made great progress on this task. However, these works rarely combine both the temporal and spatial domains for case number prediction. Moreover, most of them are only suitable for short-term prediction tasks, which cannot achieve good long-term predicting effects. Therefore, we use a method that combines human-mobility factors and time-series factors - the Spatio-temporal convolutional network (G-TCN) to deal with these problems. Firstly, we use data on the mobility of people between regions to generate graphs of regional relationships. Secondly, to process the spatial information at each moment, we apply multi-layer graph convolutional neural networks (GCNs) to aggregate multi-layer neighborhood information. And we input the information obtained by GCNs at different moments into temporal convolutional networks (TCNs), which are used to process the time-series information. Finally, we tested the proposed G-TCN method using datasets from four countries. The experimental results show that G-TCN has lower prediction errors than other comparison methods and can better fit the trend of COVID-19 development. © 2022 IEEE.
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We consider a novel partially linear additive functional regression model in which both a functional predictor and some scalar predictors appear. The functional part has a semiparametric continuously additive form, while the scalar predictors appear in the linear part. The functional part has the optimal convergence rate, and the asymptotic normality of the nonfunctional part is also shown. Simulations and an empirical analysis of a Covid-19 data set demonstrate the performance of the proposed estimator.
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Economic globalisation, trade liberalisation, advanced technology, and fast transportation all have catalysed the globalisation of construction. This chapter aims to provide a picture of the global construction market. It starts by clarifying some of the concepts and terms, and then empirically describes the historical development and status quo of the market from a global perspective. Global construction has developed into a massive market, a considerable portion of which is undertaken by contractors who 'follow the money' to new continents for growth or to minimise the risk of individual markets. The chapter concludes by considering the future of the global construction market, which is now facing great uncertainty triggered by the rising populism, increasing xenophobia, and distrust of globalisation, which are further exacerbated by the COVID-19 pandemic. There must be a 'new normal', but no one knows what it will look like, and how it will affect the global construction market. © George Ofori 2022.
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Objectives: The novel coronavirus (COVID-19) is still recurring so far. Considering that a great number of patients do examination in the same room and thus are exposed to high risks of cross infection, we should promote the epidemic prevention in the radiology department to prevent cross infection and another outbreak. Therefore, this article aims to share the experience and protocols of the radiology department of our hospital so as to help more hospitals and their radiology medical staff in epidemic prevention. Methods: We firstly collected three major epidemic prevention policies formulated by the radiology department since the outbreak, and then drew the schematic diagrams of patients' treatment routes under each measure, including the infection control team, the reconfiguration of the radiology department and the Examination procedures for patients with COVID-19. After three stages, we finally provide a specific machine for patients with COVID-19 to examine. Results: From January 18, 2020, our hospital has received 113 patients with COVID-19, among which 112 patients were discharged and 1 were dead. The total number of outpatients with fever-CT examinations was 2870, that of inpatients were 477. The number of DR exposures was 87, that of US examinations were 207, and that of MRI examinations was 148. No medical workers in the radiology department were diagnosed with COVID-19. Conclusions: Imaging examination has been an indispensable diagnostic method for COVID-19 since the outbreak. As the global epidemic situation is still unstable at present, radiology departments need to constantly improve the corresponding epidemic prevention and control measures, and formulate effective inspection plans for the patients with COVID-19, which can help patients and staff protect themselves against a high risk of COVID-19.