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Over 600,000 new lymphoma cases and around 280,000 lymphoma-related deaths were reported in 2020. The delayed diagnosis of lymphoma has long been a problem. However, the advent of the COVID-19 pandemic, which disrupted healthcare services worldwide, may have caused more significant delays in lymphoma diagnoses. Since lymphomas can sometimes present with symptoms like COVID-19 and can affect the lungs, there is also a risk of misdiagnosis. We collected 505 lymphoma and 180 COVID-19 case reports from ScienceDirect and applied boosting methods to classify each patient as having COVID-19 or lymphoma based on the patient's age, gender and reported symptoms. LightGBM had the highest ROC AUC (0.89), meaning it best differentiates between the two diseases. Therefore, this model can be used as a screening tool to reduce the delay in lymphoma diagnosis and improve the patients' chances of survival. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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This study explored the effect of perceived social isolation on the mental health of college students during the high-risk period of COVID-19 transmission in Hubei, China and the role of social support from online friends in alleviating this effect. The questionnaire responses of 213 college students from four universities in Hubei were included. Measurement and structural models were constructed using structural equation modeling. The findings revealed that perceived social isolation while under home quarantine was a negative predictor of the mental health of college students in Hubei. Low social support from online friends may lead to a relatively strong relationship between perceived social isolation and mental health in these college students, whereas high social support from online friends may lead to a relatively weak relationship between perceived social isolation and mental health. © 2023, Tech Science Press. All rights reserved.
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With the prevalence of COVID-19, the phenomenon of viruses spreading through aerosols has become a focus of attention. Diners in university dining halls have a high risk of exposure to respiratory droplets from others without the protection of face masks, which greatly increases the risk of COVID-19 transmis-sion. Therefore, the transmission mechanism of respiratory droplets in extremely crowded dining envi-ronments should be investigated. In this study, a numerical simulation of coughing at dining tables under two conditions was performed, namely the presence and absence of protective partitions, and the evaporation and condensation of aerosol droplets in the air were examined. By using the numerical method, we analyzed and verified the isolation effect of dining table partitions in the propagation of aero-sol droplets. The effect of changes in room temperature on the diffusion of coughed aerosols when par-titions were present was analyzed. We demonstrated how respiratory droplets spread through coughing and how these droplets affect others. Finally, we proposed a design for a dining table partition that min-imizes the transmission of COVID-19.(c) 2021 China University of Geosciences (Beijing) and Peking University. Production and hosting by
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Background: The outbreak of SARS-CoV-2 lead to a worldwide pandemic which poses substantial challenges to public health. Methods: We enrolled 102 consecutive recovered patients with laboratory-confirmed SARS-CoV-2 infection. Epidemiological and demographic characteristics, temporal dynamic profiles of laboratory tests and findings on chest CT radiography, and clinical outcomes were collected and analyzed. Results: Independent risk factors for prolonged fever, viral RNA shedding or radiologic recovery included age of more than 44 years, female gender, having symptoms of cough and fever, a delay from the symptom onset to hospitalization of more than 3 days, a lower CD4 count of less than 500/mu L on admission, and severe or critical illness in hospitalization. The estimated median time from symptom onset was 6.4 (5.5 -7.4) days to peak viral load, 9.1 (7.9 -10.4) days to afebrile, 8 (6.7 -9.4) days to worst radiologic finding, 12.7 (11.2 -14.3) days to viral RNA negativity, and 26.7 (23.8 -29.9) days to radiologic resolution. This study included the entire cross-section of patients seen in our clinical practice and reflected the real-world situation. Conclusions: These findings provide the rationale for strategies of active symptom monitoring, timing of quarantine and antiviral interventions, and duration of radiologic follow-up in patients with COVID-19.
ABSTRACT
Graphical With the prevalence of COVID-19, the phenomenon of viruses spreading through aerosols has become a focus of attention. Diners in university dining halls have a high risk of exposure to respiratory droplets from others without the protection of face masks, which greatly increases the risk of COVID-19 transmission. Therefore, the transmission mechanism of respiratory droplets in extremely crowded dining environments should be investigated. In this study, a numerical simulation of coughing at dining tables under two conditions was performed, namely the presence and absence of protective partitions, and the evaporation and condensation of aerosol droplets in the air were examined. By using the numerical method, we analyzed and verified the isolation effect of dining table partitions in the propagation of aerosol droplets. The effect of changes in room temperature on the diffusion of coughed aerosols when partitions were present was analyzed. We demonstrated how respiratory droplets spread through coughing and how these droplets affect others. Finally, we proposed a design for a dining table partition that minimizes the transmission of COVID-19.
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Purpose One of the major negative effects of the Coronavirus outbreak worldwide has been reduced investment in green energy projects and energy efficiency. The main purpose of this paper is to study the role of green bond proposed by the World Bank in 2008, as a reliable instrument to enhance the capital flow in energy efficiency financing and to develop green energy resources during and post the current challenging global time. Design/methodology/approach We model energy efficiency for 37 members of OECD through a panel data framework and quarterly data over 2007Q1-2020Q4. Findings The major results reveal the positive impacts of issued green bonds and regulatory quality index on energy efficiency, while any increase in inflation rate and urbanization decelerates the progress of raising energy efficiency. Practical implications As highlighted concluding remarks and policy implications, it can be expressed that the tool of green bond is a potential policy to drive-up energy efficiency financing and enhancing environmental quality during and post-COVID period. It is recommended to follow green bond policy with an efficient regulation framework and urbanization saving energy planning. Originality/value To the best of the authors' knowledge, although a few scholars have investigated the impacts of COVID-19 on green financing or examined the energy efficiency financing, the matter of modeling energy efficiency-green bond relationship has not been addressed by any academic study. The contributions of this paper to the existing literature are: (1) it is the first academic study to discover the relationship between energy efficiency and green bond in OECD countries, (2) since our empirical part provides estimation results based on quarterly data covering the year of 2019 and 2020, it may offer some new policy implications to enhance energy efficiency financing in and post-COVID period, (3) furthermore, we consider energy efficiency indicator (mix of industrial, residential, services and transport energy efficiency) as the dependent variable instead of using the simple energy intensity variable as a proxy for energy efficiency.