International Law and Digital Disease Surveillance in Pandemics: On the Margins of Regulation

The COVID-19 pandemic elicited a surge in the use of digital tools to replace "classic” manual disease tracking and contact tracing across individuals. The main technical reason is based on the disease surveillance needs imposed by the magnitude of the spread of the SARS-CoV-2 virus since 2020, particularly how these needs overwhelmed governments around the world. Such developments led to stark variations across countries in terms of legal approaches towards the use of digital tools, including self-reporting software and mobile phone apps, for both disease tracking and contact tracing. Against this backdrop, in this article I highlight some of the normative challenges posed by the digitalization of disease surveillance, underscoring its almost non-existent regulation under international law. I look back at the historical emergence of the epidemiological principles underlying this procedure, by referring to John Snow's trailblazing work in cholera control. I emphasize how the COVID-19 pandemic prompted both technical and normative shifts related to the digitalization of these procedures. Furthermore, I refer to some of the overarching obstacles for deploying international law to tackle future tensions between the public health rationale for digitalized disease tracking and contact tracing, on the one hand, and normative concerns directly related to their legality, on the other hand. Lastly, I put forward conclusions in light of the current juncture of international health law reforms, and how they so far display limited potential to herald structural changes concerning the legality of the use of digital tools in disease surveillance.

Design and Development of Accessible Video Chat Application for People with Disabilities

Communication has been a struggle for everyone since the covid outbreak and in the aftermath, people have had to get accustomed to video conferencing applications. However people with physical or mental limitations are still unable to use video conferencing apps and their interfaces. This necessitates the development of web-based video chat applications. These applications can aid those who are unable to communicate verbally and/or operate using standard mouse and keyboard inputs, but yet need to feel close to others when they are apart. The proposed application incorporates various accessibility features such as speech-to-text and text-to-speech, gaze tracking and pictorial speech interfaces. It enables individuals with disabilities to participate in virtual meetings on an equal footing with their peers. The goal is to remove barriers and promote inclusiveness in remote work and collaboration for all users, regardless of their abilities using this application.

Investigation of Learning Attraction towards Digital Board Game by Using Eye Tracking Technology

In recent years, science teaching and learning has been changed from onsite to online activity since the beginning of the COVID-19 pandemic. This situation affects students familiar with the online classroom. Regarding this situation, science teachers design their lessons with a combination of onscreen learning activities. In addition, digital boardgame has been recognized as an educational tool for motivating and engaging students in learning science concepts. In this study, we explored students' attraction toward digital boardgame while they participated in the board game. To examine students' experiences with the digital board game for learning the energy conversion concept, we used eye tracking software and hardware of the Tobii eye tracker to collect their eye behavior while they were playing the digital board game. The data collected from eye tracking was analyzed to reveal students' attraction. Data collection was carried out with 6 K-12 education students. The result of student attraction toward digital board game is discussed in this article. © 2023 IEEE.

Edutainment Content Production Platform Based on Activity Control Using Skeleton Tracking

During the COVID-19 pandemic, the activities required for child physical development were reduced because classes were conducted remotely. Thus, an interactive edutainment content that can assist the physical and cognitive development of children in indoor environments is required. In this study, we designed an edutainment content production platform (ECPP) that allows teachers to design and produce an educational content using students' movements. Teachers can develop an educational content by analyzing and modifying the children's response to the designed edutainment content. The skeleton tracking of the human body using a depth sensor was used for the user interface and activity analysis. The proposed platform allows teachers to set images and movements for educational icons, as well as visual and sound effects that occur when a child touches the icons. The ECPP includes an activity control function that allows teachers to analyze the amounts of activity and movement, and then adjust the movement level in the edutainment content. In addition, a content management module allows teachers to store and share an interactive content.

Views and Needs of Students, Parents, and Teachers on Closed-Circuit Television, Proximity Trackers, and Access Cards to Facilitate COVID-19 Contact Tracing in Schools: Thematic Analysis of Focus Groups and Interviews.

BACKGROUND: Contact tracing is considered a key measure in preventing the spread of infectious diseases. Governments around the world adopted contact tracing to limit the spread of COVID-19 in schools. Contact tracing tools utilizing digital technology (eg, GPS chips, Bluetooth radios) can increase efficiency compared to manual methods. However, these technologies can introduce certain privacy challenges in relation to retention, tracking, and the using and sharing of personal data, and little is known about their applicability in schools. OBJECTIVE: This is the second of two studies exploring the potential of digital tools and systems to help schools deal with the practical challenges of preventing and coping with an outbreak of COVID-19. The aim was to explore the views, needs, and concerns among secondary school stakeholders (parents, teachers, pupils) regarding the implementation of three digital tools for contact tracing: access cards, proximity tracking, and closed-circuit television (CCTV). METHODS: Focus groups and interviews were conducted with secondary school students, parents, and teachers. The topic guide was informed by the Unified Theory of Technology and Acceptance. Data-driven and theory-driven approaches were combined to identify themes and subthemes. RESULTS: We recruited 22 participants. Findings showed that there is no single solution that is suitable for all schools, with each technology option having advantages and limitations. Existing school infrastructure (eg, CCTV and smart/access cards technology) and the geography of each school would determine which tools would be optimal for a particular school. Concerns regarding the cost of installing and maintaining equipment were prominent among all groups. Parents and teachers worried about how the application of these solutions will affect students' right to privacy. Parents also appeared not to have adequate knowledge of the surveillance technologies already available in schools (eg, CCTV). Students, who were mostly aware of the presence of surveillance technologies, were less concerned about any potential threats to their privacy, while they wanted reassurances that any solutions would be used for their intended purposes. CONCLUSIONS: Findings revealed that there is not one tool that would be suitable for every school and the context will determine which tool would be appropriate. This study highlights important ethical issues such as privacy concerns, balancing invasions of privacy against potential benefits, transparency of communication around surveillance technology and data use, and processes of consent. These issues need to be carefully considered when implementing contact tracing technologies in school settings. Communication, transparency, and consent within the school community could lead to acceptance and engagement with the new tools.

Feature tracking cardiac magnetic resonance imaging to assess cardiac manifestations of systemic diseases.

Feature-tracking cardiac magnetic resonance (FT-CMR), with the ability to quantify myocardial deformation, has a unique role in the evaluation of subclinical myocardial abnormalities. This review aimed to evaluate the clinical use of cardiac FT-CMR-based myocardial strain in patients with various systemic diseases with cardiac involvement, such as hypertension, diabetes, cancer-therapy-related toxicities, amyloidosis, systemic scleroderma, myopathies, rheumatoid arthritis, thalassemia major, and coronavirus disease 2019 (COVID-19). We concluded that FT-CMR-derived strain can improve the accuracy of risk stratification and predict cardiac outcomes in patients with systemic diseases prior to symptomatic cardiac dysfunction. Furthermore, FT-CMR is particularly useful for patients with diseases or conditions which are associated with subtle myocardial dysfunction that may not be accurately detected with traditional methods. Compared to patients with cardiovascular diseases, patients with systemic diseases are less likely to undergo regular cardiovascular imaging to detect cardiac defects, whereas cardiac involvement in these patients can lead to major adverse outcomes; hence, the importance of cardiac imaging modalities might be underestimated in this group of patients. In this review, we gathered currently available data on the newly introduced role of FT-CMR in the diagnosis and prognosis of various systemic conditions. Further research is needed to define reference values and establish the role of this sensitive imaging modality, as a robust marker in predicting outcomes across a wide spectrum of patients.

A Real-Time Portable IoT System for Telework Tracking.

Telework has become a universal working style under the background of COVID-19. With the increased time of working at home, problems, such as lack of physical activities and prolonged sedentary behavior become more prominent. In this situation, a self-managing working pattern regulation may be the most practical way to maintain worker's well-being. To this end, this paper validated the idea of using an Internet of Things (IoT) system (a smartphone and the accompanying smartwatch) to monitor the working status in real-time so as to record the working pattern and nudge the user to have a behavior change. By using the accelerometer and gyroscope enclosed in the smartwatch worn on the right wrist, nine-channel data streams of the two sensors were sent to the paired smartphone for data preprocessing, and action recognition in real time. By considering the cooperativity and orthogonality of the data streams, a shallow convolutional neural network (CNN) model was constructed to recognize the working status from a common working routine. As preliminary research, the results of the CNN model show accurate performance [5-fold cross-validation: 0.97 recall and 0.98 precision; leave-one-out validation: 0.95 recall and 0.94 precision; (support vector machine (SVM): 0.89 recall and 0.90 precision; random forest: 0.95 recall and 0.93 precision)] for the recognition of working status, suggesting the feasibility of this fully online method. Although further validation in a more realistic working scenario should be conducted for this method, this proof-of-concept study clarifies the prospect of a user-friendly online working tracking system. With a tailored working pattern guidance, this method is expected to contribute to the workers' wellness not only during the COVID-19 pandemic but also take effect in the post-COVID-19 era.