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2.
13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022 ; : 154-157, 2022.
Article in English | Scopus | ID: covidwho-2078167

ABSTRACT

for every enterprise, material procurement is a very important link. It is not only related to cost control and production and management quality, but also determines the final economic benefits of the enterprise. Novel coronavirus pneumonia is a key issue for the enterprises. The overall management of material procurement is carried out throughout the whole business process. Especially in the current market economy environment, the new crown pneumonia epidemic continues to affect the enterprises and face more severe competition environment. If we want to gain more market share in the industry, we must innovate and adjust the original material procurement management mode and benchmark the international and domestic advanced standards. Nowadays, the shadow of Internet technology has penetrated into all walks of life, and new Internet technology has also been applied to the management of enterprise supply chain, which makes the relationship between enterprises closer and plays an important role in the process of enterprise development. Therefore, based on the supply chain environment, this paper gives some targeted measures and suggestions to strengthen the procurement management of electrostatic protection materials in state-owned enterprises for reference. © 2022 IEEE.

4.
Energy ; 256, 2022.
Article in English | Web of Science | ID: covidwho-2041726

ABSTRACT

The achievement of China's carbon dioxide (CO2) emission reduction target is of great significance in the face of global climate change. Accurate identification of key factors that affect CO2 emissions can provide theoretical support to policymakers when designing related policies. Compared to the traditional method, the generalized Divisia index method (GDIM) can capture the influence of multiple scale factors on carbon emissions, providing new tools for studying the decomposition of carbon emissions. The article proposed a GDIM-based decomposition method to analyze the drivers that influence CO2 emissions in China from 2000 to 2017. The results indicate that investment activity is the primary element in promoting China's carbon emissions, followed by energy use and economic activities. On the contrary, investment carbon intensity is the vital inhibitory factor, followed by GDP carbon intensity. Specifically, the positive driving force of investment and energy use is gradually weakening, while the contribution of economic activities is continuously strengthening. The effectiveness of carbon emission reduction in the Northeast, East, and Southwest is actively promoting China's carbon emission reduction, while the effectiveness of CO2 emission reduction in the Northwest is not performing well. The findings provide support and reference for carbon emission control in China. (C) 2022 Elsevier Ltd. All rights reserved.

5.
Nature Machine Intelligence ; 2022.
Article in English | Scopus | ID: covidwho-2016856

ABSTRACT

Single-cell datasets continue to grow in size, posing computational challenges for dealing with expanded scale, extended modality and inevitable batch effects. Deep learning-based approaches have recently emerged to address these points by deriving nonlinear cell embeddings. Here we present contrastive learning of cell representations, Concerto, which leverages a self-supervised distillation framework to model multimodal single-cell atlases. Simply by discriminating each cell from the others, Concerto can be adapted to various downstream tasks such as automatic cell type classification, data integration and especially reference mapping. Unlike current mainstream packages, Concerto’s contrastive setting well supports operating on all genes to preserve biological variations. Concerto can flexibly generalize to multiomics to obtain unified cell representations. Benchmarking on both simulated and real datasets, Concerto substantially outperforms competing methods. By mapping to a comprehensive reference, Concerto recapitulates differential immune responses and discovers disease-specific cell states in patients with COVID-19. Concerto is easily parallelizable and efficiently scalable to build a 10-million-cell reference within 1.5 h and query 10,000 cells within 8 s. Overall, Concerto will facilitate biomedical research by enabling iteratively constructing single-cell reference atlases and rapidly mapping novel dataset against them to transfer relevant cell annotations. © 2022, The Author(s), under exclusive licence to Springer Nature Limited.

6.
Advances in Artificial Intelligence and Applied Cognitive Computing ; : 263-276, 2021.
Article in English | Web of Science | ID: covidwho-2013836
8.
Journal of Clinical Oncology ; 40(16), 2022.
Article in English | EMBASE | ID: covidwho-2009576

ABSTRACT

Background: We provide care for the rural, low-income, and underserved population of Oroville. The community has a vaccination rate of 50% and booster rate of over 20% in the 3rd year of the ongoing global SARS-CoV-2 pandemic in 2022. During this period, a subset of our cancer patients benefited from the use of immune checkpoint inhibitors. Methods: This is a cross-sectional observational study of the effectiveness of a mRNA-based vaccine in medical care workers compared to patients with systemic malignancies treated with immunomodulation of PD-1 and CTLA-4 inhibitors. The study was approved by the hospital IRB. We evaluated the total anti-Spike protein antibody titer using a commercial semi-quantitative assay, Labcorp Test #164090. All subjects received 3 doses of the mRNA vaccine. We excluded anyone who was administered therapeutic monoclonal antibodies (mAb) or had a recent infection within 120 days. Results: Subjects with systemic malignancies were significantly older, p = 0.0001 by t-test: median age: 76, range: 64-82, compared to health care workers: median age: 52, range: 21-75. Accrual had to be prematurely stopped upon the arrival of Omicron wave in the community. Out of the seven subjects treated with immunomodulation, six received nivolumab, including two in combination with ipilimumab. One subject received pembrolizumab. Six of the subjects had metastatic disease: one was treated adjuvantly for locally advanced esophageal adenocarcinoma. The rest had NSCLC and one case of urothelioma. We divided the groups to those who had the highest titer of antibody versus everybody else and found a similar distribution in both groups using the Chi2 test. The vast majority of the healthcare workers, 24/27 or 89%, had above the upper limit antibody titer. Patients with systemic malignancy, 5/7 or 71%, had above the upper limit antibody titer p = N.S. Conclusions: Three doses of the mRNA vaccine provided high titers irrespective of frailty or age. We hypothesize that immunomodulation could favorably affect vaccination response.

9.
Frontiers in Bioengineering & Biotechnology ; 10:952510, 2022.
Article in English | MEDLINE | ID: covidwho-1974640

ABSTRACT

Coronavirus disease 19 (COVID-19) is still a major public health concern in many nations today. COVID-19 transmission is now controlled mostly through early discovery, isolation, and therapy. Because of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the contributing factor to COVID-19, establishing timely, sensitive, accurate, simple, and budget detection technologies for the SARS-CoV-2 is urgent for epidemic prevention. Recently, several electrochemical DNA biosensors have been developed for the rapid monitoring and detection of SARS-CoV-2. This mini-review examines the latest improvements in the detection of SARS-COV-2 utilizing electrochemical DNA biosensors. Meanwhile, this mini-review summarizes the problems faced by the existing assays and puts an outlook on future trends in the development of new assays for SARS-CoV-2, to provide researchers with a borrowing role in the generation of different assays.

10.
Transbound Emerg Dis ; 69(4): e1005-e1014, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1968197

ABSTRACT

Porcine reproductive and respiratory syndrome virus (PRRSV) has been one of the major health-related concerns in the swine production industry. Through its rapid transmission and mutation, the simultaneous circulation of multiple PRRSV strains can be a challenge in PRRSV diagnostic, control and surveillance. The objective of this longitudinal study was to describe the temporal detection of PRRSV in swine farms with different production types and PRRS management strategies. Tonsil scraping (n = 344) samples were collected from three breeding and two growing herds for approximately one year. In addition, processing fluids (n = 216) were obtained from piglet processing batches within the three breeding farms while pen-based oral fluids (n = 125) were collected in the two growing pig farms. Viral RNA extraction and reverse-transcription quantitative PCR (RT-qPCR) were conducted for all samples. The sample positivity threshold was set at quantification cycle (Cq) of ≤ 37. Statistical analyses were performed using generalized linear modelling and post hoc pairwise comparisons with Bonferroni adjustments using R statistical software. The results suggested a higher probability of detection in processing fluids compared to tonsil scraping specimens [odds ratio (OR) = 3.86; p = .096] in breeding farms whereas oral fluids were outperformed by tonsil scrapings (OR = 0.26; p < .01) in growing pig farms. The results described herein may lead to an improvement in PRRSV diagnostic and surveillance by selecting proper specimens.


Subject(s)
Porcine Reproductive and Respiratory Syndrome , Porcine respiratory and reproductive syndrome virus , Swine Diseases , Animals , Antibodies, Viral/analysis , Demography , Longitudinal Studies , Porcine Reproductive and Respiratory Syndrome/diagnosis , Porcine Reproductive and Respiratory Syndrome/epidemiology , Porcine respiratory and reproductive syndrome virus/genetics , Saliva , Swine
11.
Gastroenterology ; 162(7):S-592, 2022.
Article in English | EMBASE | ID: covidwho-1967333

ABSTRACT

Background: Waning levels of anti-SARS-CoV-2 Spike (S) antibodies, particularly neutralizing, are associated with the risk of breakthrough infections. The impact of immunosuppression on antibody decay kinetics is unclear. We have previously reported a strong correlation between total anti-S antibodies and neutralization titers. Here, we report the decay kinetics in anti-S IgG antibodies across various immunosuppressive medications used in patients with CID. Methods: We recruited a volunteer sample of adults with confirmed CID eligible for SARS-CoV-2 vaccination in a prospective observational cohort study at two United States CID referral centers. All study participants received two doses of mRNA vaccine to SARSCoV- 2. To assess the durability of immunogenicity, anti-S IgG were measured at 7 (visit 3), 90 (visit 5), and 120 (visit 6) days after the 2nd dose of mRNA vaccine. The impact of various medications was assessed in repeated measures mixed model with the patient as a random effect, adjusting for gender and age, and using the group of patients on sulfasalazine, NSAIDs, or on no medications as a reference, using STATA. The half-life of anti-S IgG for a 50 percent reduction in titers at visit 3 was calculated for each medication class. Results: A total of 316 CID patients were recruited of which 148 (46.8%) had inflammatory bowel disease (IBD). Durability was assessed in 495 samples obtained in 293 patients. The arithmetic mean of anti-S IgG antibodies for each medication class at visits 3, 5, and 6 is shown in Figure 1. Overall, a 2-fold reduction in titers was observed from 7 to 90 days and 90 to 120 days (Table 1). The strongest decline was observed among patients on B cell depleting/ modulating therapies followed by those on combinations of biologics and/or small molecules and antimetabolites (methotrexate, leflunomide, thiopurines, mycophenolate mofetil, and teriflunomide). There was modest decline seen with TNFi (half-life 430.5 days, -2.15, 95% CI - 4.31 to - 1.07, p = 0.03). There was also a modest, but not significant, decline seen with Janus Kinase inhibitor (JAKi). No decline was seen with anti-IL-23 or anti-integrin medication classes. Conclusions: Antibody decay in patients with CID is not observed in patients on anti-integrins or anti-IL-23 while it is seen among patients on TNFi, JAKi, antimetabolites, and combinations of biologics and/or small molecules. Our data and those from other cohorts may be used to prioritize medication classes for boosting immunogenicity with additional doses of vaccination against SARS-CoV-2. Collection of antibody titers after booster doses is currently ongoing.(Table Presented) (Figure Presented) Figure 1: Durability of anti-spike IgG antibodies after vaccination against SARS-CoV-2 in patients with Chronic Inflammatory Disease

12.
Acs Es&T Water ; : 10, 2022.
Article in English | Web of Science | ID: covidwho-1927050

ABSTRACT

This study aimed to provide a low-cost technique for virus detection in wastewater by improving an aluminum hydroxide adsorption-precipitation method. The releasing efficiency of viruses trapped by the aluminum hydroxide precipitates was improved by adding ethylenediaminetetraacetic acid disodium salt (EDTA-2Na) to dissolve the precipitates at a Na(2)EDTA center dot 2H(2)O:AlCl3 molar ratio of 1.8-3.6. The recovery rates of the improved method for seven viruses, including SARS-CoV-2-abEN pseudovirus and six animal viruses, were 5.9-22.3% in tap water and 4.9-35.1% in wastewater. Rotavirus A (9.0-4.5 X 10(3) copies/mL), porcine circovirus type 2 (5.8-6.4 X 10(5) copies/mL), and porcine parvovirus (5.6-2.7 X 10(4) copies/mL) were detected in China's pig farm wastewater, while rotavirus A (2.0 X 10(3) copies/mL) was detected in hospital wastewater. SARS-CoV-2 was detected in hospital wastewater (8.4 X 10(2) to 1.4 X 10(4) copies/mL), sewage (6.4 X 10 to 2.3 X 10(3) copies/mL), and river water (6.6 X 10 to 9.3 X 10 copies/mL) in Nepal. The method was automized, with a rate of recovery of 4.8 +/- 1.4% at a virus concentration of 10(2) copies/mL. Thus, the established method could be used for wastewater-based epidemiology with sufficient sensitivity in coping with the COVID-19 epidemic and other virus epidemics.

13.
Acs Es&T Water ; : 14, 2022.
Article in English | Web of Science | ID: covidwho-1927047

ABSTRACT

We demonstrate a new methodology for quantitative trend analysis (QTA) to analyze and interpret SARS-CoV-2 RNA wastewater surveillance results concurrently with clinical case data. This demonstration is based on the work completed under the Ontario (Canada) Wastewater Surveillance Initiative (WSI) by two laboratories in four wastewater treatment plants (WWTPs) at each of four large sewersheds, which were sampled over a 9-month period, along with sewershed-specific clinical case counts. The data from the last 5-months, representing a range of high and low case counts, was used for this demonstration. The QTA integrated clinical and wastewater virus signals, while combining recommendations from the United States Centers for Disease Control and Prevention (US CDC) and the Public Health Agency of Canada (PHAC). The key steps in the QTA consisted of signal normalization with pepper mild mottle virus (PMMoV), as a fecal biomarker, statistical linear break-point trend analysis and integration of both wastewater virus signal and clinical cases trend results. Using this approach, the wastewater virus and clinical cases trends, direction, and magnitude were clearly identified and provided a unified complementary tool to support public health decisions on a targeted, sewershed-specific basis.

14.
Complexity ; 2022:12, 2022.
Article in English | Web of Science | ID: covidwho-1916476

ABSTRACT

The integration of the global economy has led to an increasingly strong connection between the futures and spot markets of commodities. First, based on one-minute high-frequency prices, this paper applies the thermal optimal path (TOP) method to examine the lead-lag relationship between Chinese crude oil futures and spot from March 2018 to December 2021. Second, we apply the Mixed Frequency Data Sampling Regression (MIDAS) model and indicators such as deviation degree to test the degree of prediction of high-frequency prices in the futures market to the spot market. The experimental results show that the futures markets lead the spot market most of the time, but the lead effect reverses when major events occur;60-minute futures high-frequency prices are the most predictive of daily spot data;crude oil futures' predictive power declined after the Covid-19 outbreak and is more predictive when night trading is available. This study has important implications, not only to guide investors but also to provide empirical evidence and valid information for policy makers.

15.
Journal of Mental Health Policy and Economics ; 25(SUPPL 1):S36-S37, 2022.
Article in English | EMBASE | ID: covidwho-1913292

ABSTRACT

Background: Mental health problems are increasingly prevalent among children and adolescents. Children from low income families are likely to have worse mental health than their wealthier peers. Understanding the association between economic deprivation and poor child mental health, how it varies across ages from early childhood to teen years, and the mechanisms underlying the association is of paramount importance to tackle this increasing public health problem which has been further exacerbated by the COVID-19 pandemic. Aim: This study aims to investigate the relationship between family income and child mental health problems from childhood to adolescence in the UK, its potential variation with age, and the potential mechanisms that may explain the relationship. Methods: Using data from the UK Millennium Cohort Study, child mental health was measured by the Total Difficulties Score (TDS), Internalising and Externalising subscales, all derived from the Strengths and Difficulties Questionnaire (SDQ) at ages 3, 5, 7, 11 and 14 years. Family income was operationalised as permanent income, with lagged transitory income used as robustness check. A secondary exposure was frequency of poverty. Cross-sectional analysis using multivariable logistic regression was conducted at each survey age, based on the Grossman health production function. Results: Results were available for 8,096 children, the prevalence of mental health problems (TDS) ranged from 4.6% to 11.1% across all ages. Unadjusted results indicated significant protective effects of higher family income on the likelihood of the child having poorer mental health in all age groups. The relationship weakened after adjustment for confounding and potential mediating factors, and marginal effects of income on TDS were -0.024(SE=0.009), -0.014(SE=0.004), -0.009(SE=0.006), -0.048(SE=0.010) and -0.041(SE=0.011) at age 3, 5, 7, 11, and 14 years, respectively (p<0.001 in all age groups except age 7 where p=0.163). Adjust- ment for poor maternal mental health and low mother-to-infant attachment reduced the strength of the association between income and child mental health. Fully adjusted model suggested an increased independent effect of poor maternal mental health on children's mental health as children grew older. Discussion: While family income is strongly associated with a child's mental health, much of this effect is explained by other risk factors such as maternal depression, and therefore the direct effects are relatively small. This may suggest that policies targeting income redistribution may reduce child mental health inequalities, and also be beneficial to the wider family, reducing the prevalence of other associated risk factors. This is even more important as the ongoing COVID-19 pandemic pushes more families into poverty.

16.
Asia-Pacific Education Researcher ; : 1, 2022.
Article in English | Web of Science | ID: covidwho-1914057
18.
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi ; 34(2): 172-178, 2022 Apr 13.
Article in Chinese | MEDLINE | ID: covidwho-1893445

ABSTRACT

OBJECTIVE: To investigate the health-seeking behaviors of imported malaria cases after returning to China, and to investigate the factors affecting the time to initial diagnosis, so as to provide the scientific evidence for early identification of imported malaria cases and prevention of severe cases development and secondary transmission. METHODS: The individual demographic features, and the disease onset and the time to initial diagnosis of imported malaria cases in Jiangsu Province in 2019 were captured from the National Notifiable Disease Report System and the Information Management System for Parasitic Disease Control in China. The characteristics of health-seeking behaviors and epidemiological features of imported malaria cases were descriptively analyzed, and the factors affecting the time to initial diagnosis of imported malaria cases after returning to China were identified using multivariate logistic regression analysis. RESULTS: A total of 244 imported malaria cases were reported in Jiangsu Province in 2019, and the time to initial diagnosis of the cases were 1-12 days, with mean time of (1.53 ± 1.65) days, with median time of one day. The highest number of malaria cases seeking healthcare services were found on the day of developing primary symptoms (76 cases, 31.1%), followed by on the second day (68 cases, 27.9%), on the third day (46 cases, 18.9%), and 54 cases (22.1%) received initial diagnosis 3 days following presence of primary symptoms, including 3 cases with initial diagnosis at more than one week. High proportions of imported malaria cases with a delay in the time to initial diagnosis were seen in migrant workers who returned to China in January (14 cases, 5.7%) and December (13 cases, 5.3%) and those aged between 41 and 50 years (32 cases, 13.1%). Multivariate logistic regression analysis showed relative short time to initial diagnosis among imported malaria cases returning to China on March [odds ratio (OR) = 0.16, P = 0.03, 95% confidence interval (CI): (0.03, 0.85)] and those with a history of overseas malaria parasite infections [OR = 0.36, P = 0.001, 95% CI: (0.19, 0.67)]. CONCLUSIONS: Timely health-seeking behaviors should be improved among imported malaria cases in Jiangsu Province, patients with a history of overseas malaria infections require faster health-seeking activities.


Subject(s)
Malaria , Transients and Migrants , Adult , China/epidemiology , Humans , Malaria/diagnosis , Malaria/epidemiology , Malaria/parasitology , Middle Aged
19.
International Journal of Digital Earth ; 15(1):868-889, 2022.
Article in English | Web of Science | ID: covidwho-1852806

ABSTRACT

The Covid-19 has presented an unprecedented challenge to public health worldwide. However, residents in different countries showed diverse levels of Covid-19 awareness during the outbreak and suffered from uneven health impacts. This study analyzed the global Twitter data from January 1st to June 30(th), 2020, to answer two research questions. What are the linguistic and geographical disparities of public awareness in the Covid-19 outbreak period reflected on social media? Does significant association exist between the changing Covid-19 awareness and the pandemic outbreak? We established a Twitter data mining framework calculating the Ratio index to quantify and track awareness. The lag correlations between awareness and health impacts were examined at global and country levels. Results show that users presenting the highest Covid-19 awareness were mainly those tweeting in the official languages of India and Bangladesh. Asian countries showed more disparities in awareness than European countries, and awareness in Eastern Europe was higher than in central Europe. Finally, the Ratio index had high correlations with global mortality rate, global case fatality ratio, and country-level mortality rate, with 21-31, 35-42, and 13-18 leading days, respectively. This study yields timely insights into social media use in understanding human behaviors for public health research.

20.
Annals of Behavioral Medicine ; 56(SUPP 1):S683-S683, 2022.
Article in English | Web of Science | ID: covidwho-1849189
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