ABSTRACT
Post COVID-19 pandemic, sports events and sports activities have been severely affected. The mega sports events were either postponed or held in the absence of live audience. Through this study we investigate the progressive use of social media by fans and other stakeholders to express their support to favorite sports teams, athletes, coaches, sports organizations, sponsors and more during COVID-19. UEFA Euro 2020 was conducted across 12 countries with an intent to show unity and bring normalcy in sports business during the third wave of COVID-19. Hashtag analysis and mention analysis have been performed to find sports teams, athletes or other stakeholders that were directly being discussed about by the fans. We also focused on tweet context annotations that provide entities as pairs of domain and entity collected from tweets’ text. Our results indicated that hashtags and mentions alone cannot substantially justify the popularity of any entity. Thus, from the point of view of identifying any athlete, team, organization or any sponsor as a brand, tweet context annotations can be valuable from the perspective of E-Branding, E-Marketing and E-Commerce. © 2022, IFIP International Federation for Information Processing.
ABSTRACT
With the outbreak of the COVID-19 and its various mutations making the infections faster and severe, it is becoming extremely important to determine the presence of COVID-19 infection in one's body at a faster pace. Tests of Molecular, Antigen and Chest Scans are conducted to determine the presence of infection in the body, however, the molecular and antigen tests like RT-PCR require some time ranging from 1-5 days depending upon the availability of lab in the locality and how they run their tests with equipment. On the other hand, Chest scans like X-Ray and CT scans require lesser time of 10-15 minutes for detection by MDs. But due to the rise in cases and increase in demand for tests, radiologists and MDs find it harder to respond in time. Chest X-Rays are preferred for their less intensity and effective cost compared to CT scans. The model presented in this paper has operated on a total of 317 images containing COVID-19, Viral Pneumonia and Normal Chest X-Ray images. The model achieves an accuracy of 99.5% in the testing phase for classification of a COVID-19 infected Chest X-Ray. The aim is to help reduce the time taken for identifying infected X-Rays thus helping conduct tests at a faster pace. © 2021 IEEE.
ABSTRACT
Sports watching both through offline as well as online mode has always been fancied by the sports lovers. We investigate the explicit use of social media by sports enthusiasts to show their support and solidarity for their favorite sports team or a particular sportsperson virtually i.e., via e-participation. For experimentation, we have considered the fourth Test match played between India versus Australia from 15–19 January, 2021 during Border-Gavaskar Trophy 2020–2021. During these five days period, a total of 69,965 tweets on Twitter were collected by us favoring both teams. Various statistical techniques coupled with social media analytics such as polarity and emotion analysis have been applied on the collected data to get valuable insights for our results. Our experimental results unambiguously indicate that sports enthusiast globally is using social media as important alternate media to show their support towards their favorite sports team virtually, via e-participation. The emergence and amalgamation of social media and marketing has provided newer horizons to various stakeholders i.e., both viewers and broadcasters to maximize e-participation. © 2021, IFIP International Federation for Information Processing.
ABSTRACT
Background and Aim: Regional and rural populations with chronic hepatitis C virus (HCV) infection remain undertreated due to low primary care uptake, combined with limited access to specialist care and follow-up. Telehealth (TH) addresses many barriers to treatment access, has previously proven successful for HCV management in rural and prison settings, and has been proposed as an alternative for patients who remain geographically and socioeconomically disadvantaged, particularly in the coronavirus 2019 era. We aimed to report the clinical outcomes and the cascade of care of a novel nurse-led HCV TH clinic set in regional Victoria. Methods: We performed a retrospective cohort analysis of all patients referred to a regional HCV TH service between 1 April 2017 and 10 June 2020. Data were collated from outpatient and electronic medical records, as well as prospectively collected qualitative patient surveys. Results: A total of 55 patients were booked into the HCV TH clinic, and the outcomes are shown in Figure 1. Twenty-five patients (54%) had a history of alcohol use disorder, 24 (52%) had psychiatric comorbidity, and five (11%) had obesity. Thirteen of the 14 (93%) who received treatment achieved sustained virological response. We additionally demonstrated successful TH-driven hepatocellular carcinoma surveillance among the subgroup of patients with cirrhosis. An average of 46.48 km of travel, 54.64 min, and A$30.67 was saved per patient for each visit. Overall patient satisfaction gathered via Likert scale surveys was positive, with observed benefits including increased medical engagement, adherence to treatment, and improvement in long-term health outcomes at a personal and cohort level. Conclusion: Nurse-led HCV management via TH has allowed access for a marginalized regional population with high levels of substance misuse and psychiatric comorbidity. Clinical outcomes were comparable to those previously reported from tertiary and community-based cohorts, with additional cost benefit, efficiency gains, and carbon footprint reduction among a previously unreported regional Victorian population with HCV.