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Otolaryngology - Head and Neck Surgery ; 167(1 Supplement):P293, 2022.
Article in English | EMBASE | ID: covidwho-2064424

ABSTRACT

Introduction: Telemedicine has been a useful tool in the virtual management of patients with sleep disorders during the COVID-19 pandemic. Given the detrimental effects of chronic, untreated obstructive sleep apnea (OSA) on patient health, it is important that patients receive timely care. This study investigates whether the use of telemedicine is associated with delays in care or different rates of patient follow-up after drug-induced sleep endoscopy (DISE). Method(s): We performed a retrospective review of 166 patients who underwent DISE during 4-month periods of March-June 2019 and March-June 2021. The efficiency of telemedicine vs inpatient appointments following DISE was assessed using the time from DISE to the patient's first postop visit and the time from that postop visit to surgical intervention, referral to another specialty, or clinic follow-up. Additional variables of interest included patient demographics, characteristics of their OSA (sleep study results, Epworth score, positive airway pressure use), and the type of further care received (clinic follow-up, referral to another specialty, or surgery). Result(s): There was a significant increase in the rate of initial post-DISE telemedicine visits during the COVID-19 pandemic, with 39.7% of visits being telemedicine (P<.001) compared with 13.0% of visits pre-pandemic. The use of telemedicine was not associated with significant delays in obtaining initial post-DISE appointments, further surgical interventions, specialist referrals, or clinic follow-ups. There were no significant differences in follow-up rates between inperson or telemedicine appointments. In addition, there were no significant differences in telemedicine usage among patients of various demographics or with different severities of OSA compared with in-person appointments. Conclusion(s): Telemedicine appointments are an efficient alternative to in-person appointments following DISE for the management of OSA. In this setting, telemedicine was not associated with any significant delays in patient care or decreased follow-up rates, even among various patient demographics.

2.
Journal of Environmental Sciences (China) ; 125:603-615, 2023.
Article in English | Scopus | ID: covidwho-1783484

ABSTRACT

Wuhan Tianhe International Airport (WUH) was suspended to contain the spread of COVID-19, while Shanghai Hongqiao International Airport (SHA) saw a tremendous flight reduction. Closure of a major international airport is extremely rare and thus represents a unique opportunity to straightforwardly observe the impact of airport emissions on local air quality. In this study, a series of statistical tools were applied to analyze the variations in air pollutant levels in the vicinity of WUH and SHA. The results of bivariate polar plots show that airport SHA and WUH are a major source of nitrogen oxides. NOx, NO2 and NO diminished by 55.8%, 44.1%, 76.9%, and 40.4%, 33.3% and 59.4% during the COVID-19 lockdown compared to those in the same period of 2018 and 2019, under a reduction in aircraft activities by 58.6% and 61.4%. The concentration of NO2, SO2 and PM2.5 decreased by 77.3%, 8.2%, 29.5%, right after the closure of airport WUH on 23 January 2020. The average concentrations of NO, NO2 and NOx scatter plots at downwind of SHA after the lockdown were 78.0%, 47.9%, 57.4% and 62.3%, 34.8%, 41.8% lower than those during the same period in 2018 and 2019. However, a significant increase in O3 levels by 50.0% and 25.9% at WUH and SHA was observed, respectively. These results evidently show decreased nitrogen oxides concentrations in the airport vicinity due to reduced aircraft activities, while amplified O3 pollution due to a lower titration by NO under strong reduction in NOx emissions. © 2022

3.
ACM Transactions on Intelligent Systems and Technology ; 12(6), 2021.
Article in English | Scopus | ID: covidwho-1685720

ABSTRACT

Vehicle mobility optimization in urban areas is a long-standing problem in smart city and spatial data analysis. Given the complex urban scenario and unpredictable social events, our work focuses on developing a mobile sequential recommendation system to maximize the profitability of vehicle service providers (e.g., taxi drivers). In particular, we treat the dynamic route optimization problem as a long-term sequential decision-making task. A reinforcement-learning framework is proposed to tackle this problem, by integrating a self-check mechanism and a deep neural network for customer pick-up point monitoring. To account for unexpected situations (e.g., the COVID-19 outbreak), our method is designed to be capable of handling related environment changes with a self-adaptive parameter determination mechanism. Based on the yellow taxi data in New York City and vicinity before and after the COVID-19 outbreak, we have conducted comprehensive experiments to evaluate the effectiveness of our method. The results show consistently excellent performance, from hourly to weekly measures, to support the superiority of our method over the state-of-the-art methods (i.e., with more than 98% improvement in terms of the profitability for taxi drivers). © 2021 Association for Computing Machinery.

4.
33rd International Conference on Software Engineering and Knowledge Engineering, SEKE 2021 ; 2021-July:375-380, 2021.
Article in English | Scopus | ID: covidwho-1404150

ABSTRACT

Affected by the COVID-19 pandemic, teaching tasks have gradually shifted from offline to online, which expanded online education resources unprecedentedly. “Concept” is a professional vocabulary in the curriculum. Exploring the prerequisite relations among concepts is of great significance to educational planning. This research extracts concepts from online course introduction and proposes a mixed method for extracting concept prerequisite relations. Experiments on public data set show that this method outperforms existing ones. Tests were also carried out on the datasets of eleven schools, which proves that this model has good scalability. © 2021 Knowledge Systems Institute Graduate School. All rights reserved.

5.
Impact Of Covid-19 On Asian Economies And Policy Responses ; : 19-24, 2020.
Article in English | Scopus | ID: covidwho-1307950

ABSTRACT

Pandemics such as COVID-19 present an difficult choice to policymakers between saving lives and saving livelihoods. On the one hand, economic lockdown is deemed necessary to contain the rapid spread of the disease. On the other hand, a lockdown inflicts steep economic costs as normal activities are disrupted. The painful tradeoff between human toll and economic costs has led to heated and sometimes divisive debate in the policy domain…. © 2020 by World Scientific Publishing Co. Pte. Ltd.

6.
Iranian Red Crescent Medical Journal ; 22(10), 2020.
Article in English | EMBASE | ID: covidwho-958619

ABSTRACT

Introduction: In December 2019, a new type of pneumonia named coronavirus disease 2019 (COVID-19) was reported in Wuhan, Hubei province, China. The present study aimed to report the case of a patient with COVID-19 and comorbid pulmonary tuberculosis, on which there have been no relevant reports hitherto. Case Presentation: The case was a 47-year-old female patient with COVID-19 positive pharyngeal swabs. She did not suffer from fever, coughs, or difficulties in breathing. The patient was diagnosed with COVID-19 and pulmonary tuberculosis based on her epidemiological history, routine blood test, imaging findings, and COVID-19 nucleic acid test results. It should be noted that contact and droplet precautions were implemented for this patient. The administrated treatments for her included antiviral, anti-tuberculosis, and liver protection treatments. The patient did not complain about discomfort and her condition was stable. Conclusion: The COVID-19 and comorbid tuberculosis were suspected;however, epidemiological history, clinical presentation, laboratory tests, and imaging examinations must be combined to make a comprehensive diagnosis. Moreover, prompt quarantine and treatment measures should be implemented as well.

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