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1.
Nature Geoscience ; : 12, 2022.
Article in English | Web of Science | ID: covidwho-1927088

ABSTRACT

Observed daily changes in CO2 emissions from across the globe reveal the sectors and countries where pandemic-related emissions declines were most pronounced in 2020. Day-to-day changes in CO2 emissions from human activities, in particular fossil-fuel combustion and cement production, reflect a complex balance of influences from seasonality, working days, weather and, most recently, the COVID-19 pandemic. Here, we provide a daily CO2 emissions dataset for the whole year of 2020, calculated from inventory and near-real-time activity data. We find a global reduction of 6.3% (2,232 MtCO(2)) in CO2 emissions compared with 2019. The drop in daily emissions during the first part of the year resulted from reduced global economic activity due to the pandemic lockdowns, including a large decrease in emissions from the transportation sector. However, daily CO2 emissions gradually recovered towards 2019 levels from late April with the partial reopening of economic activity. Subsequent waves of lockdowns in late 2020 continued to cause smaller CO2 reductions, primarily in western countries. The extraordinary fall in emissions during 2020 is similar in magnitude to the sustained annual emissions reductions necessary to limit global warming at 1.5 degrees C. This underscores the magnitude and speed at which the energy transition needs to advance.

2.
International KES Conference on Human Centred Intelligent Systems, KES HCIS 2022 ; 310:3-12, 2022.
Article in English | Scopus | ID: covidwho-1919749

ABSTRACT

The rapid outbreak of COVID-19 has heightened interest in news about the pandemic. In addition to obtaining real-time developments about COVID-19, people have learned about prevention methods through the news media. Ironically, false COVID-19 news has spread faster than the virus, posing an additional health threat with advice being as dangerous as infection. In this study, we developed a Chinese news article dataset on COVID-19 misinformation, which contained 1266 verified articles from 118 Chinese digital newspaper platforms from January 2020 to January 2021. This dataset uses machine learning methods to detect false news in the Chinese language. Because automated classification methods, combined with human computation-based approaches, are effective for combating digital misinformation, we applied and evaluated a collaborative intelligence approach that leverages human fact-checking skills with feedback on news stories using four criteria: source, author, message, and spelling. The results show that reliable human feedback can help detect false news with high accuracy. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

4.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research ; 25(7):S484-S484, 2022.
Article in English | EuropePMC | ID: covidwho-1904940
5.
2021 International Conference on Statistics, Applied Mathematics, and Computing Science, CSAMCS 2021 ; 12163, 2022.
Article in English | Scopus | ID: covidwho-1901896

ABSTRACT

Output gap is an important index to analyze the macroeconomic operation situation. In the macroeconomic policy framework, the formulation of many policies depends on evaluating the output gap. According to the impact of COVID-19 on China's economic growth in 2020, this paper aims to explore the future change law of China's output gap. Firstly, China's real GDP growth rate data is calculated according to the original GDP data. Secondly, the potential output and output gap are estimated by H-P filtering method. Finally, the output gap series is brought into the ARMA model for fitting and prediction. To sum up, under the influence of COVID-19, China's actual economic growth level was significantly lower than the potential economic growth in 2020, forming a higher negative output gap. The epidemic's impact on China's actual economic growth will last for four years, and China's output gap will return to a stable state slightly less than zero in 2025. © COPYRIGHT SPIE.

6.
11th International Conference on Frontier Computing, FC 2021 ; 827 LNEE:1812-1817, 2022.
Article in English | Scopus | ID: covidwho-1899034

ABSTRACT

New coronary pneumonia has attracted attention to telemedicine technology. It is a scientific research trend to develop an instrument that allows people to test their health. With the advent of the 5G era, the information rate is getting faster and faster, prompting the rise of some telemedicine industries. Because of the non-contact diagnosis, it provides people with a lot of convenience and protects people from the impact of new coronary pneumonia, it is safe and reliable. The technical field of the Telemedicine System relates to a telemedicine system, and particularly to a system with improved operability, suitable for home health monitoring. With the rapid development of science and technology, it is very important to study a set of equipment that can objectively detect pulse. The new coronary pneumonia has made the society aware of the vacancies in telemedicine technology, and the introduction of digital pulse diagnosis technology is non-contact, convenient and fast. The pulse measuring instrument is composed of a main control chip, a collection module, a signal module, an alarm module, and a display module;Compared with other types of designs, it has a simple, efficient, real-time display, and practical pulse test system, and has its own characteristics in terms of practicability and ease of operation. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

8.
American Journal of Respiratory and Critical Care Medicine ; 205:2, 2022.
Article in English | English Web of Science | ID: covidwho-1880261
9.
Journal of Safety Science and Resilience ; 3(2):93-104, 2022.
Article in English | Scopus | ID: covidwho-1873165

ABSTRACT

In the context of frequent occurrences of disasters worldwide, disaster-coping capability is imperative for risk reduction and contemporary emergency management. The global COVID-19 pandemic since 2020 has further highlighted the significance of resilience construction at different geographical scales. Overall, the conceptual cognition of resilience in disaster management covers multiple elements and has diverse yielding on regional assessment. This study assesses the local resilience to the public health disaster at the prefecture-level cities, focusing on two dimensions consisting of vulnerability and capability in the targeted provincial region of Jiangsu in China. To this end, based on the vulnerability-capability framework, the Rough Analytic Hierarchy Process (RAHP) method was applied to the resilience assessment. Drawing upon the criteria derived from literature, the criteria weights were determined with the RAHP method and we assessed urban resilience with census data. In addition, the hierarchical factors contributing to urban resilience were determined using robustness analysis. This research provides constructive ideas for regional disaster reduction and contributes to the government's capability to improve urban resilience. © 2022

10.
European Journal of Inflammation ; 17, 2022.
Article in English | EMBASE | ID: covidwho-1868842

ABSTRACT

Background: Coronavirus disease 2019 (COVID-19) became pandemic in 2020 and recently, mutated coronaviruses have emerged in many countries. The aim of this study was to identify the clinical characteristics and risk factors for critical illness in hospitalized COVID-19 patients in Zhengzhou for clinical prevention and management. Materials and methods: A total of 70 patients hospitalized with COVID-19 were enrolled between 21 January and 29 February 2020, in Zhengzhou, China. Clinical characteristics, hematological findings, neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and inflammatory index on admission were obtained from medical records, COVID-19 patients with different outcomes were compared. Results: The median age was 55 years. Forty-three (61.0%) patients were classified as having severe or critical cases. Eighteen (25.7%) patients died in hospital and the remaining 52 were discharged. Patients who died tend to be old with expectoration and chronic obstructive pulmonary disease. Compared to survivor, non-survivor had significantly higher numbers of leucocytes and neutrophils, NLR, aspartate aminotransferase (AST), γ-glutamyl transpeptidase, total bilirubin, direct bilirubin, lactate dehydrogenase (LDH), prothrombin time, D-dimer, C-reactive protein, and decreased platelets, lymphocytes, uric acid, and albumin (ALB). Logistic regression analysis identified leucocytes, platelets, PLR, NLR, AST, and ALB as independent predictive factors for poor outcomes. The area under curve of the combination of leucocytes, PLR, NLR, and AST was 0.87, with a sensitivity of 0.83 and specificity of 0.81. Conclusion: Our results identified risk factors among COVID-19 patients for in-hospital mortality. Leucocytes, PLR, NLR, and AST could have important reference value for predicting prognosis, especially in low-resource countries.

11.
2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; : 5692-5695, 2021.
Article in English | Scopus | ID: covidwho-1861116

ABSTRACT

Affected by the Coronavirus Disease (COVID-19) pandemic, almost all students in China have to study online at home from February to June, 2020. In this paper, we discussed the forms of online courses and took Jiangsu Normal University as an example to introduce the online courses of remote sensing in China. The results of the satisfaction survey show that more than 90% of the respondents agree with online courses and believe that online courses can at least meet basic learning needs in the age of COVID-19, and more than 60% of respondents claimed that they had met or exceeded their learning expectations. The major advantages of online course include reducing the gathering of people and thus the risk of infection. However, there are still some problems with online courses, and we hope that these problems can be solved well in the future. © 2021 IEEE

12.
Frontiers in Surgery ; 9:9, 2022.
Article in English | Web of Science | ID: covidwho-1855482

ABSTRACT

Background:& nbsp;The Visual Prostate Symptom Score (VPSS) is used for the assessment of lower urinary tract symptoms (LUTS). It is usually administered by general practitioners (GPs), but in these cases, outcomes do not seem to be reflecting the real conditions of a patient well, with consequent risks of misestimations and misinterpretations. We developed an electronic audiovisual version of VPSS (EPSS), a new symptom scale based on a telemedicine mobile light-based app. The aim of this study is to test and evaluate its reliability.& nbsp;Methods:& nbsp;We enrolled male patients aged between 50 and 80 years across 24 community-based healthcare facilities in Guangzhou, China. Patients were asked to complete the Chinese version of VPSS and EPSS before consultation with the urology specialists. Patients were divided into two groups based on age. First, we analyzed the rate of full understanding of EPSS using a chi-square test. Then, we analyzed the difference between each score of EPSS, VPSS, and outcomes measured by specialists, used as the reference score (RS). Finally, the outcomes were analyzed with the Spearman test and Bartlett test separately.& nbsp;Results:& nbsp;Seventy-nine male patients were included (mean age 70.42 years). Patients were divided into two groups: group 1 (> 70 years, n = 40) and group 2 (< 70 years, n = 39). The full-understanding rates in groups 1 and 2 were 50% and 64.1%, respectively. No significant differences were noted between groups (p = 0.206). A t-test was presented between each question of VPSS, EPSS, and RS. All questions did not display significant differences (p > 0.05);total scores from the three scales had no significant differences in the evaluation of LUTS. We further explored the variations of choices made by patients in different scales. Spearman's test among VPSS, EPSS, and RS showed positive correlations, and coefficients of the total score were 0.92, 0.91, and 0.93 (p < 0.05).& nbsp;Conclusion:& nbsp;EPSS can be easily used in a significant number of patients and showed correlation with the VPSS and RS. Moreover, certain items resulted in better performance than VPSS. The results showed that EPSS could be a valuable option for both patients and GPs monitoring LUTS and particularly helpful when teleconsultations are considered, especially during the COVID-19 pandemic.

14.
Chinese Journal of Disease Control and Prevention ; 26(2):238-243, 2022.
Article in Chinese | Scopus | ID: covidwho-1847861

ABSTRACT

Objective This study is conducted against a case of positive nucleic acid detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) of environmental samples in a medical institution in Chengdu. Epidemiological investigation methods and laboratory tests are used to investigate the source and analyze the cause of the case, to explore the nucleic acid monitoring mode and the disposal scheme of abnormal conditions of SARS-CoV-2 in the medical institution environment. Methods Chengdu and Shuangliu district CDC jointly investigate A Medical Institution (A refers to a specific anonymous medical institute). Epidemiological surveys were conducted though related influencing factors of the medical institution. SARS-CoV-2 nucleic acid detection kits were used for detection. Sequencing was carried out on a second-generation sequencing platform. Results From Jan.18th 2021 to Jan.20th 2021, a total of 62 smear samples of environment and articles were collected, among which 30 samples were positive for SARS-CoV-2 nucleic acid. 30 positive samples were divided into Gongwei building (9) and Zhonghe building (21) according to the sampling location. The samples' Ct values of ORF1ab gene in Gongwei building were lower than that in Zhonghe building, and the difference was statistically significant (t=2.452, P=0.036). According to the nature of the specimens, they were divided into external environment smear samples (24 samples) and cleaning tool smear samples (6 samples). The N gene Ct values of external environment smear samples were lower than that of cleaning tools, and the difference was statistically significant (Z=-2.204, P=0.028). Through gene sequencing analysis, the sequence of SARS-CoV-2 nucleic acid positive environmental samples detected this time is highly homologous with SARS-CoV-2 vaccine (> 99.9%). Conclusions The positive environmental samples of SARS-CoV-2 nucleic acid in the medical institution are caused by the damage and leakage of COVID-19 vaccine ampoules in the process of vaccination, which led to the contamination of the vaccination room of public health building, and then transmit to the hospital environment of fever clinic and complex building through cleaning tools by cleaning workers. With the progress of COVID-19 vaccine vaccination, there is a high probability of environmental pollution of vaccine liquid in the vaccination area of medical institutions. Therefore, it is necessary in combination with the current normalization monitoring requirements of domestic COVID-19 epidemic situation to refine the specific implementation plan, conduct vaccination in a scientific and orderly manner, and reduce the social impact. © 2022, Publication Centre of Anhui Medical University. All rights reserved.

15.
International Eye Science ; 22(5):870-874, 2022.
Article in Chinese | Scopus | ID: covidwho-1847437

ABSTRACT

AIM: To analyze the epidemiological characteristics of patients hospitalized for ocular trauma during the novel coronavirus (COVID-19) epidemic. METHODS: A retrospective case analysis. Totally 876 cases (905 eyes) of ocular trauma were analyzed in this study, including 545 cases (565 eyes) from January to June 2019 were enrolled ascontrol group, and 331 cases (340 eyes) from January to June 2020 were enrolled in the research group. Information regarding age, sex, location of injury, cause of injury, place of residence, and type of injury were collected and analyzed. RESULTS: The number of hospitalisation for ocular trauma in the research group decreased by 39.3% compared with the control group. The age distribution of patients showed a double peak, at 0-10 years (20.55%, 21.45%) and 41-50 years (17.98%, 19.03%) in the control group and research group, respectively. There was no statistically significant difference in the age distribution between the two groups (P=0.907). Men were predominantly injured in both the control and the research groups, accounting for 80.37% and 83.69%, respectively (P=0.219). The proportion of home injuries in the research group (28.40%) was higher than the control group (11.38%) (P<0.001). The proportion of mechanical eye injuries in the research group (98.19%) was higher than the control group (95.60%) (P=0.041), and the proportion of open globe injuries (85.54%) was also higher than the control group (76.58%) (P=0.001). The proportion of patients with no light perception in the research group (18.86%) was higher than that of the control group (9.53%) (P<0.001). CONCLUSION: During the COVID-19 epidemic period, the total number of ocular trauma cases was significantly reduced. Mechanical eye injuries are still the main type for hospitalisation of patients with eye injuries. The awareness of eye injury prevention should be strengthened during the period of epidemic. Copyright 2022 by the IJO Press.

16.
Asia Pacific Journal of Information Systems ; 32(1):51-69, 2022.
Article in English | Scopus | ID: covidwho-1835983

ABSTRACT

This study examines how consumers’ intention to use a curbside pickup responds to the COVID-19 vaccination rates. With our first survey conducted in March 2021, we find that a low (high) vaccination rate is associated with consumers’ high (low) intention to maintain contact avoidance and their high (low) anticipation for shipping delays. Heightened contact avoidance and anticipation for shipping delays may encourage consumers to use a curbside pickup. Our results also show that when a product is needed immediately, and a consumer expects shipping delays, s/he is more likely to use a curbside pickup. However, with our second survey conducted in November 2021, we find heterogeneous consumer responses to the vaccination rates. Specifically, consumers’ political affiliation moderates the relationship between the vaccination rates and their intention to maintain contact avoidance. The association between the vaccination rates and the anticipation for shipping delays is also weakened compared to March 2021. Our empirical results illustrate how consumers’ intention to use a curbside pickup emerges and changes amid the COVID-19 pandemic. © 2022, Asia Pacific Journal of Information Systems. All Rights Reserved.

17.
International Journal of Services, Economics and Management ; 13(1):78-91, 2022.
Article in English | Scopus | ID: covidwho-1833695

ABSTRACT

The disruptions of various supply chains due to the outbreak of COVID-19 have been incurring researchers and practitioners to re-evaluating the benefits and risks involved in global sourcing and find ways to increase supply chain resilience. Building on the dynamic capabilities perspective, this project proposes a conceptual model to identify the underlying mechanisms and factors that improve the resilience of supply chains and increase the company's performance accordingly. The theoretical model is empirically tested by analysing a dataset including 276 companies in China. The results in this study contribute to the literature by theoretically proposing and empirically testing a new theoretical model in identifying the intra-organisational antecedents of management capabilities and analyse the outcomes of supply chain resilience in improving performance. It also contributes to business practitioners by providing useful information and guidelines to enhance supply chain resilience. Copyright © 2022 Inderscience Enterprises Ltd.

18.
Embase; 2021.
Preprint in English | EMBASE | ID: ppcovidwho-334677

ABSTRACT

We conducted preclinical studies in mice using a yeast-produced SARS-CoV-2 RBD subunit vaccine candidate formulated with aluminum hydroxide (alum) and CpG deoxynucleotides. This formulation is equivalent to the CorbevaxTM vaccine that recently received emergency use authorization by the Drugs Controller General of India. We compared the immune response of mice vaccinated with RBD/alum to mice vaccinated with RBD/alum+CpG. We also evaluated mice immunized with RBD/alum+CpG and boosted with RBD/alum. Mice were immunized twice intramuscularly at a 21-day interval. Compared to two doses of the/alum formulation, the RBD/alum+CpG vaccine induced a stronger and more balanced Th1/Th2 cellular immune response, with high levels of neutralizing antibodies against the original Wuhan isolate of SARS-CoV-2 as well as the B.1.1.7 (Alpha), B.1.351 (Beta), B.1.617.2 and (Delta) variants. Neutralizing antibody titers against the B.1.1.529 (BA.1, Omicron) variant exceeded those in human convalescent plasma after Wuhan infection but were lower than against the other variants. Interestingly, the second dose did not benefit from the addition of CpG, possibly allowing dose-sparing of the adjuvant in the future. The data reported here reinforces that the RBD/alum+CpG vaccine formulation is suitable for inducing broadly neutralizing antibodies against SARS-CoV-2 including variants of concern.

19.
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica ; 51(3):401-412, 2022.
Article in Chinese | Scopus | ID: covidwho-1811332

ABSTRACT

On-orbit geometric calibration without field site is a key problem for future multi-beam laser altimetry satellites. In view of the linear system full waveform laser altimeter loaded on the GF-7 satellite, a non-field step by step calibration method based on terrain and waveform matching is proposed. Based on the analysis of the characteristics of the GF-7 satellite laser altimeter, a rigorous geometric positioning model is constructed. The field-free on orbit geometric calibration test is carried out by using the open topographic reference data and the basic geographic information of DOM and LiDAR DSM in a certain area, which has greatly improved the accuracy of the laser altimetry data. With this method, during the first half of 2020, the calibration parameter configuration and data processing of GF-7 satellite laser altimeter was not affected, even the field calibration can't be implemented due to the negative impact of the COVID-19. The accuracy is compared with the field calibration results after the COVID-19, and the results show that the plane error of the non-field calibration is 11.597±3.693 m and the minimum value is 7.115 m. The elevation accuracy of flat area is better than 0.3 m, although it is slightly lower than the results of field calibration, it can basically meet the requirements of 1: 10 000 elevation control points. © 2022, Surveying and Mapping Press. All right reserved.

20.
2021 China Automation Congress, CAC 2021 ; : 1543-1548, 2021.
Article in English | Scopus | ID: covidwho-1806891

ABSTRACT

Tendency forecasting of infectious diseases, such as COVID-19, is urgently required to evaluate outbreak risk and control decisions. Although transmission models based on natural factors like virus propagation, temperature, and human modality are studied carefully, social factors cause high flexibility on dynamic propagation change under actual virus spreading conditions. We propose a time-variant relevance-based infected recovered extreme learning machine to generate a quantitative forecasting model with social factors. Also, embedded distance is used to measure the similarity and realize flexible forecasting based on social impactors. We investigated the age structure and the medical supply under the COVID-19 pandemic with nonidentical open-source data We found that embedded distance with the proposed model is highly consistent with projection accuracy, and the proposed method can achieve higher accuracy than existed methods. Based on the forecasting model, age distribution and medical supply make a difference in COVID-19 transmission. Areas with the middle proportion of the aged population face higher outbreaking risks, and sufficient medical supply control the infection speed efficiently within three weeks. This study provides an efficient projection of dynamic transmission under the social impact on infectious diseases pandemics. © 2021 IEEE

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