ABSTRACT
The outbreak of COVID-19 at the end of 2019 spreads over the world extensively and rapidly. The daily lives are affected by lockdowns, work-from-home, and travel bans. The economic growth is stagnated. Many industries are severely affected by this pandemic. There are, however, also industries that are unexpectedly benefited from the pandemic. The objective of this paper is to investigate the industries in Taiwan that are affected by the pandemic. Samples of the top 1,000 manufacturing and the top 500 service companies in Taiwan are collected to calculate their productivities before the pandemic, in the period of 2016–2019, and during the pandemic, in the year of 2020. The results show that three industries: automobile, tourism, and electronic products distribution, have their productivities significantly decreased by 3.98%, 4.92%, and 1.27%, respectively. There are also four industries: electronic components, optoelectronic, electrical and cable, and oil, gas and electricity, whose productivities are unexpectedly increased significantly by 1.37%, 1.98%, 3.32%, and 4.31%, respectively. The impact of COVID-19 to large companies in Taiwan seems to be not severe. In 2021, approximately five sixths of the industries have their productivities increased. There are only five industries whose productivities become lower;however, the decreases are not significant, indicating that the economy in Taiwan is recovering from the pandemic. © 2023 The Authors
ABSTRACT
Xhaul, a mobile transport network, is a critical lifeline in imminent global crises: the combination of the COVID-19 pandemic and geopolitical conflict. Not only did the Russia-Ukraine war cause a global energy crisis, but it also put more energy stress on the 5G Xhaul. It also shows that the sustainability of a country depends on the unbroken Xhaul. Meanwhile, the COVID-19 outbreak has triggered the largest human-virus war of this century. It needs the ubiquitous 5G Xhaul to monitor the spread of COVID-19. Once crises occur, turning them into opportunities often requires new ways of seeing, considering, and responding to the 5G Xhaul provisioning. Facing more unpredictable situations, Chunghwa Telecom (CHT), the largest service provider in Taiwan, embraces the challenges and proposes practical solutions. This study aims to discuss the new 5G Xhaul provisioning strategies to achieve sustainable development goals in this turbulent era. © 2022 IEEE.
ABSTRACT
Purpose: Describe outcomes of patients (pt) with pre-tx COVID-19. Method(s): Multicenter study of SOT/HCT candidates who had a positive (pos) SARS-CoV-2 PCR pre-tx. Result(s): Pre-tx: Of 208 pt, median age was 56 (range 3-76). 87.8% were SOT candidates (40.5% kidney, 40.5% liver, 9.8% lung, 6.9% heart, 2.3% pancreas) and 13.9% were HCT candidates (54.2% allo, 45.8% auto). Pt underwent a median of 2 tests (range 1 - 14). In 41% of pt, > 1 neg PCR was required by the tx center before reactivation. Neg PCR was documented in 67.4% of pt at a median of 41 days (18-68) after pos PCR. Waitlist mortality was 11.0%;deaths were due to COVID-19 in 60% (12/20). Post-tx (all pt): 78 pt underwent tx at a median of 65.5 days (range 17-324) from COVID-19;71/78 have completed 4-weeks of follow-up. 24/78 (30.7%) pt were still PCR pos at time of tx (details below). 54/78 (69.2%) pt underwent routine PCR testing post-tx;62% were tested regularly for 8 weeks. Only 1 pt, who remained asymptomatic, developed recurrent pos PCR on surveillance testing 18 days post-tx. 1 pt had graft loss. There were no deaths at 4 weeks post-tx. Pt transplanted without a negative PCR: 24 pt with COVID-19 did not have neg PCR at time of tx: 9 (37.5%) kidney, 9 (37.5%) liver, 2 (8.3%) SLK, 1 (4.2%) lung, 1 heart (4.2%), 2 auto-HSCT (8.3%), 2 allo-HSCT (8.3%). Of 24 pt who were reactivated at a median of 21 days (range 8 - 38) from COVID-19 diagnosis, 7 underwent tx emergently (5 liver, 1 lung, 1 heart). 20/24 completed 4-weeks of follow-up;all were alive. PCR Cycle thresholds (Ct) increased over time, suggesting a reduction in SARS-CoV-2 viral loads with time elapsed since COVID-19 diagnosis. Conclusion(s): Short-term outcomes of transplantation in SOT/HCT candidates with prior COVID-19 were promising in this small cohort, even with a positive PCR going into transplant. Whether documentation of a negative PCR should be required for all tx candidates with a history of COVID-19 prior to transplantation should be investigated further, particularly among lung tx candidates. For certain tx candidates with COVID-19, relying time-based strategy instead of a test-based strategy may be safe.
ABSTRACT
Background. Patient and treatment-related factors have been used to stratify COVID-19 outcomes;however, studies in the general population and specifically veterans have yielded variable results. This study was designed to assess how baseline characteristics and interventions correlate with clinical outcomes in patients admitted with COVID-19 at a large academic Veterans Affairs hospital. Methods. Retrospective chart review was conducted on veterans admitted to the hospital with COVID-19 between March 1 to December 31, 2020. Veterans without respiratory symptoms attributed to COVID-19 or enrolled in a COVID-19 clinical trial were excluded. Primary outcome was in-hospital mortality up to 28 days. Secondary outcomes were 90-day mortality, discharge to higher level of care or remained in the hospital within 28 days, and discharge with new oxygen requirement within 28 days. Patient characteristics and therapeutic interventions were assessed for correlation with primary and secondary outcomes. Results. Of 497 hospitalized patients reviewed, 293 were included for analysis;94% were male;average age was 68 years with 64.9% of veterans greater than 65 years of age;43.7% were Black;17.4% were Hispanic. In-hospital mortality at 28-days and 90-day mortality were 18.1% and 21.5%, respectively. At discharge, 34.1% had a new oxygen requirement and 17.5% went to a higher level of care. Patients that died in-hospital were more likely to be greater than 65 years of age (p< 0.001), Hispanic (p=0.007), have chronic kidney disease (CKD) (p=0.005), be admitted to ICU (p< 0.001);receive dexamethasone (p< 0.001), convalescent plasma (p< 0.001), or antibiotics (p< 0.001);require mechanical ventilation (p< 0.001);or have new onset atrial fibrillation (p< 0.001). Veterans also had higher levels of inflammatory markers within 48 hours of hospital admission (see Table 2) and longer length of hospital stay (< 0.001). There was a trend for patients that died in the hospital within 28-days to be less likely to be Black (p=0.06). Conclusion. Patients were more likely to die in-hospital within 28-days if they were greater than 65 years of age, Hispanic and had CKD. Veterans that died in-hospital within 28-days had higher inflammatory marker levels and were more likely to receive COVID-19 treatments.
ABSTRACT
Since schools cannot use face-to-face tests to evaluate students’ learning effectiveness during the COVID-19 pandemic, many schools implement computer-based tests (CBT) for this evalua-tion. From the perspective of Sustainable Development Goal 4, whether this type of test conversion affects students’ performance in answering questions is an issue worthy of attention. However, studies have not yielded consistent findings on the equivalence of the scores of examinees’ answering performance on computer-based tests (CBT) and paper-and-pencil tests (PPT) when taking the same multiple-choice tests. Some studies have revealed no significant differences, whereas others have exhibited significant differences between the two formats. This study adopted a counterbal-anced experimental design to investigate the effects of test format, computerised presentation type, difficulty of item group, and administration order of item groups of different difficulty levels on examinees’ answering performance. In this study, 381 primary school fifth graders in northern Taiwan completed an achievement test on the topic of Structure and Functions of Plants, which is part of the primary school Natural Science course. The achievement test included 16 multiple-choice items. After data collection and analysis, no significant differences in the answering performance of examinees were identified among the PPT, CBT with single-item presentation, and CBT with mul-tiple-item presentation. However, after further analysis, the results indicated that the difficulty of item group and the administration order of item groups of different difficulty levels had significant influences on answering performance. The findings suggest that compared with a PPT, examinees exhibit better answering performance when taking multiple-choice tests in a CBT with multiple-item presentation. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
ABSTRACT
COVID-19, which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), first broke out at the end of 2019. Despite rapidly spreading around the world during the first half of 2020, it remained well controlled in Taiwan without the implementation of a nationwide lockdown. This study aimed to evaluate the PM2.5 concentrations in this country during the 2020 COVID-19 pandemic and compare them with those during the corresponding period from 2019. We obtained measurements (taken every minute or every 3 minutes) from approximately 1,500 PM2.5 sensors deployed in industrial areas of northern and southern Taiwan for the first quarters (January-March) of both years. Our big data analysis revealed that the median hourly PM2.5 levels decreased by 3.70% (from 16.3 to 15.7 mu g m(-3)) and 10.6% (from 32.4 to 29.3 mu g m(-3)) in the north and south, respectively, between these periods owing to lower domestic emissions of PM2.5 precursors (viz., nitrogen dioxide and sulfur dioxide) and, to a lesser degree, smaller transported emissions of PM2.5, e.g., from China. Additionally, the spatial patterns of the PM2.5 in both northern and southern Taiwan during 2020 resembled those from the previous year. Finally, controlling local PM2.5 emission sources critically contributes to reducing the number of COVID-19 cases.