ABSTRACT
PurposeBased on text content analysis using big data, this study aims to explore differences in guest perceptions of peer-to-peer accommodations before and after COVID-19 to provide suggestions for the development of these properties in China postpandemic. Design/methodology/approachA guest perception dictionary was established by collecting Ctrip customer reviews of peer-to-peer accommodations. After data cleaning, thematic word analysis and semantic association network analysis were used to explore perceptions and thematic differences before and after COVID-19. FindingsThis research constructed a multidimensional framework of guest-perceived values for peer-to-peer accommodation in the context of COVID-19. The findings showed that the emphasis on functionality in peer-to-peer accommodation changed;perceived emotional values associated with peer-to-peer stays were more complex;perceived social values decreased, host-guest interactions were reduced and online communication became a stronger trend;tourist preferences for types of experiences changed, and people changed their destination selections;perceived conditional value was reflected in perceived risks, and the perceptions of environmental health, service and physical risks increased. Research limitations/implicationsThis research has constructed a multidimensional framework of tourist perceived value on the basis of peer-to-peer accommodation context and epidemic background and has thus shown the changes in tourist perceived value of peer-to-peer accommodation before and after COVID-19. Originality/valueTo the best of authors' knowledge, this research constitutes the first attempt to explore the perceptual differences for peer-to-peer accommodations before and after COVID-19 based on an extensive data set of online reviews from multiple provinces of China.
ABSTRACT
SpO2, also known as blood oxygen saturation, is a vital physiological indicator in clinical care. Since the outbreak of COVID-19, silent hypoxia has been one of the most serious symptoms. This symptom makes the patient's SpO2 drop to an extremely low level without discomfort and causes medical care delay for many patients. Therefore, regularly checking our SpO2 has become a very important matter. Recent work has been looking for convenient and contact-free ways to measure SpO2 with cameras. However, most previous studies were not robust enough and didn't evaluate their algorithms on the data with a wide SpO2 range. In this paper, we proposed a novel non-contact method to measure SpO2 by using the weighted K-nearest neighbors (KNN) algorithm. Five features extracted from the RGB traces, POS, and CHROM signals were used in the KNN model. Two datasets using different ways to lower the SpO2 were constructed for evaluating the performance. The first one was collected through the breath-holding experiment, which induces more motion noise and confuses the actual blood oxygen features. The second dataset was collected at Song Syue Lodge, which locates at an elevation of 3150 meters and has lower oxygen concentration in the atmosphere making the SpO2 drop between the range of 80% to 90% without the need of holding breath. The proposed method outperforms the benchmark algorithms on the leave-one-subject-out and cross-dataset validation. © 2022 IEEE.
ABSTRACT
Objective To report a case of severe Coronavirus disease 2019 (COVID-19) that had been successfully treated with glucocorticoid and intravenous immunoglobulin therapy. Methods and results The patient was a healthcare provider in Wuhan City who was taking care of COVID-19 patients before the onset of the disease. He started to cough with a little white sticky sputum on January 16, 2020 and had a fever on January 22 (up to 38.5 ℃) before admission. CT results showed mild exudation in both lungs. Oral oseltamivir and intravenous moxifloxacin, cefoperazone and sulbactam sodium were given in addition to nutritional support. On January 26, the patient had chest tightness and shortness of breath. A swab test was positive for severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) nucleic acid, and chest CT results showed moderate exudation in both lungs. On January 28, shortness of breath worsened and intravenous methylprednisolone (40 mg, qd) and immunoglobulin (10 g, qd) were given. On January 30, shortness of breath further worsened;he had a body temperature of 40.7 ℃, pulse oxygen saturation (SpO2) of 83% with oxygen inhalation at 10 L/min, and lymphocyte count of 0.5×109/L. The dose of methylprednisolone and immunoglobulin were adjusted to 40 mg, q12h and 20 g, qd, respectively. Subcutaneous injection of thymalfasin (1.6 mg, qd) was added. Then the body temperature returned to normal, and symptoms such as chest tightness and shortness of breath were gradually improved. On January 31, SpO2 was 88% with oxygen inhalation at 10 L/min and a chest CT results revealed large amount of exudation in both lungs. On February 2, SpO2 was 95% with oxygen inhalation at 5 L/min and the dose of methylprednisolone was then gradually reduced. A chest CT results on February 3 revealed improved lung inflammation, and a throat swab on February 4 and 9 was negative for SARS-CoV-2 nucleic acid. Conclusion Glucocorticoid should be used with caution in patients with early and mild COVID-19. However, appropriate dosage of glucocorticoid can be used to modulate lung inflammation in patients with decompensated respiratory failure. Additionally, large dose of immunoglobulin can be given if necessary.