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By the beginning of 2020, the illness had been named as COVID-19, which had spread due to its extreme severity affecting multiple industries and sectors throughout the world. To protect the public's health and safety, the Philippine government has established a number of quarantine regulations and travel restrictions in reaction to the current COVID-19 outbreak. Nonetheless, the ILO predicted that the pandemic would initially disrupt the economy and labor markets, affecting 11 million employees, or around 25% of the workforce in the Philippines. Therefore, the government continues to urge employers of local companies and enterprises to use alternative work plans, such as a WFH - work-from-home operation in accordance with the established policies. In line with the concept of telework, several studies have already been carried out, though some were declared inconclusive and require additional study. Hence, in this research, a mobile application was created to evaluate the employee's telework capability assessment using a Fuzzy-based model which utilizes Google AppSheet, Apps Script, and Sheets. The developed mobile application is able to provide capacity evaluation utilizing the four key input variables, which are also reasonably characterized for potential telecommuting cost evaluation. © 2022 IEEE.
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Introduction: InS:PIRE (Intensive Care Syndrome: Promoting Independence and REcovery) is a multidisciplinary programme whose role is to assist patients in the identification of, and subsequent rehabilitation from the sequelae of an admission to the Intensive Care Unit (ICU). In NHS Aryshire and Arran (NHSAA) InS:PIRE has traditionally consisted of in-person rehabilitation and support meetings to help manage common post-ICU issues. COVID-19 forced all InS:PIRE activities online, and has required services to redesign their delivery of supporting resources to be readily accessible remotely. Thus, the 'Life after ICU' app was created. Objective(s): The role of this application was to help better-provide accessible information to former ICU patients and their relatives, as well as, improve connectivity between medical professionals and patients. Method(s): The app platform was developed by Piota. Resources were chosen for inclusion through surveying InS:PIRE attendees, who identified their main areas of concern. These areas included: physical problems, emotional issues, social issues, family support, COVID specific support, and physiotherapy. The multidisciplinary InS:PIRE team co-ordinated the identification and collation of the appropriate resources. Additionally, the app serves as a platform for InS:PIRE to disseminate information about the on-going programmes as well as allowing attendees to contact the InS:PIRE team. Result(s): A trial version of the 'Life After ICU' app has now been launched. This app will allow patients and their families to readily access the resources they require. Following a trial period, feedback from app users will be collected and further adaptations made. Conclusion(s): Launching the app recognises the wider view of the importance of eHealth, and its role in modernising service-delivery. Indeed, the Scottish National Clinical Strategy recognises this as an area for future development. The efficacy of eHealth interventions for rehabilitation have been acknowledged,1-2 and thus translating them to the ICU context can be considered as a means of improving the holistic rehabilitation of this complex patient group. Furthermore, through providing services easily accessible by patients, this app allows InS:PIRE to realise NHSAA's 'Caring for Ayshire' strategy, whose aim is to provide care closer to home.
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MNLTour is a virtual tour system for selected tourist spots situated within the city of Manila. It utilizes 360-degree images, 2D images, voice recordings, and virtual reality technology to offer an immersive user experience of the virtual environment. The virtual tour system was developed using the Unity3D software and was then integrated into web and mobile applications accessible through web browsers and android smartphones, respectively. MNLTour aims to promote the wonders of Manila city by showcasing some of its historical tourist spots that have been severely affected by the outbreak of the COVID-19 pandemic. The developed web and mobile applications were tested and later evaluated to assess the overall quality of the software in accordance with ISO 9126 standard. The evaluation statements primarily focus on the aspects of functionality, efficiency, usability, effectiveness, and user satisfaction in using the application. Descriptive statistics was used to analyze and summarize the data gathered from the evaluation respondents. The evaluation of the application in both platforms turned out to have admirable evaluation results;hence, it's safe to say that the developed software has an acceptable overall quality. © 2022 IEEE.
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Aims: Accessibility and engagement to high quality non pharmacological interventions for First-Episode Psychosis individuals (FEP) is hindered by different factors such as patients motivation, clinical time, lack of adaptation to patient needs. Taking into account patients' preference in the design in an individualized treatment plan as well as challenges faced by this particular patient, and his specific context/ environment can possibly enhance patient satisfaction and engagement. Technology can help to both standardized and individualize intervention to maximize the proposed services impacts. Method(s): This symposium explore how different technological tools can assist both clinicians and patients in enhancing patient experience of care First, the technokinpep, an innovative telekinesiology project offered by a peer support worker in multiple early psychosis services simultaneously, maximized accessibility of physical activity during the COVID-19 pandemic, social distanciation requirements. Second, Ocean empire, a mobile app aimed at improving physical activity motivation and affect in early psychosis. With this study, this presentation will shed light on the development and implementation of this mobile app. Third, exercise your wau used a mobile app to tailor the physical activity intervention program to the patients preferences and needs. Finally, the Freedom app gives the duo patient-clinicians a tool to facilitate shared decision making to enhance the therapeutic relation. Result(s): These different technologies can enhance patient and clinicians experience of collaborative and tailored adapted treatment. Conclusion(s): The development of new technology can help improving care by adapting it to better individual's needs.
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Integration of mobile health (mHealth) applications (apps) into chronic lung disease management is becoming increasingly popular. MHealth apps may support adoption of self-management behaviors to assist people in symptoms control and quality of life enhancement. However, mHealth apps' designs, features, and content are inconsistently reported, making it difficult to determine which were the effective components. Therefore, this review aims to summarize the characteristics and features of published mHealth apps for chronic lung diseases. A structured search strategy across five databases (CINAHL, Medline, Embase, Scopus and Cochrane) was performed. Randomized controlled trials investigating interactive mHealth apps in adults with chronic lung disease were included. Screening and full-text reviews were completed by three reviewers using Research Screener and Covidence. Data extraction followed the mHealth Index and Navigation Database (MIND) Evaluation Framework (https://mindapps.org/), a tool designed to help clinicians determine the best mHealth apps to address patients' needs. Over 90,000 articles were screened, with 16 papers included. Fifteen distinct apps were identified, 8 for chronic obstructive pulmonary disease (53%) and 7 for asthma (46%) self-management. Different resources informed app design approaches, accompanied with varying qualities and features across studies. Common reported features included symptom tracking, medication reminders, education, and clinical support. There was insufficient information to answer MIND questions regarding security and privacy, and only five apps had additional publications to support their clinical foundation. Current studies reported designs and features of self-management apps differently. These app design variations create challenges in determining their effectiveness and suitability for chronic lung disease self-management. Registration: PROSPERO (CRD42021260205). Supplementary Information: The online version contains supplementary material available at 10.1007/s13721-023-00419-0.
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Globally, the COVID-19 pandemic has affected all sectors, including the food and beverage industry. The pandemic has changed customers' behavior from dine-in services to online food ordering systems. Technology advancements make ordering food easier with Online Food Delivery (OFD) service. However, before buying food online, consumers require a physical assessment to decide to buy the food or beverage. Augmented Reality (AR) is a popular technology to show 3D virtual elements. Meanwhile, the stimulus organism response (SOR) framework can be used to analyze consumers' behavior. More specifically, the SOR model has been used to evaluate the user's behavior intention to accept online shopping apps. However, in the OFD context, there is a lack of research investigating the customer's intention to use the AR app based on the SOR perspective. This study aims to assess the factors influencing consumers' intention to adopt augmented reality apps. 52 AR OFD app customers participate in this study. Partial Least Square-Structural Equation Modeling (PLS-SEM) and SMARTPLS 3 was used to analyze the research model. This study evaluated from measurement and structural model. The measurement model using factor loading, Composite Reliability (CR), Average Variance Extracted (AVE), and heterotrait-monotrait (HTMT) ratio. The structural model assessed the variance inflation factor (VIF), R2, path coefficient (β), f2, and p-value. The results showed the significance of food image on hedonic, utilitarianism, and perceived informativeness. Furthermore, hedonism was the only determinant that positively influenced the customers' intention to use the AR OFD apps. © IJASEIT is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
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While thousands of new mobile applications (i.e., apps) are being added to the major app markets daily, only a small portion of them attain their financial goals and survive in these competitive marketplaces. A key to the quick growth and success of relatively less popular apps is that they should make their way to the limited list of apps recommended to users of already popular apps;however, the focus of the current literature on consumers has created a void of design principles for app developers. In this study, employing a predictive network analytics approach combined with deep learning-based natural language processing and explainable artificial intelligence techniques, we shift the focus from consumers and propose a developer-oriented recommender model. We employ a set of app-specific and network-driven variables to present a novel approach for predicting potential recommendation relationships among apps, which enables app developers and marketers to characterize and target appropriate consumers. We validate the proposed model using a large (>23,000), longitudinal dataset of medical apps collected from the iOS App Store at two time points. From a total of 10,234 network links (rec-ommendations) formed between the two data collection points, the proposed approach was able to correctly predict 8,780 links (i.e., 85.8 %). We perform Shapley Additive exPlanation (SHAP) analysis to identify the most important determinants of link formations and provide insights for the app developers about the factors and design principles they can incorporate into their development process to maximize the chances of success for their apps.
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During the COVID-19 pandemic, distance learning has become one of the leading trends in education. This technology imple-ments the principle of lifelong learning and is capable of mee-ting the ever-growing demand for knowledge in the information society. The purpose of this study is to determine the potential of online tools in the provision of distance learning. Given the de-velopment of distance education, modern methodological sup-port should be developed based on a combination of promising methods, approaches, and appropriate digital tools so that hig-her education institutions could successfully achieve their goals in terms of fostering a certain level of student professionalism, even under quarantine restrictions. For this reason, the need for the predominance of modern learning tools over traditional ones and their complete dominance during distance learning is espe-cially emphasized. Based on the results of surveys, the paper defines and characterizes contemporary online tools for holding lectures and seminars, testing and controlling knowledge, and holding online classes in real time through videoconferencing, as well as the potential of these instruments in distance learning. The article provides a list of the most popular and promising on-line services in the conditions of distance learning.
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The global COVID-19 crisis has led to the international isolation of educational institutions, which have had to adapt to changing ways of presenting the information. Mobile applications are the future of the education sector, leading toward its development. The study aims to develop a mobile application to support learning the peculiarities of leather and fur garment manufacturing sewing techniques. The mobile app "TechLab" was developed by using MIT App Inventor. The article proves the effectiveness of its use in the educational space based on social surveys among teachers and students at different levels of education.
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There is considerable interest worldwide in developing safe and effective vaccines against COVID-19. Pharmacovigilance of adverse events following immunisation (AEFIs) is a key to making informed decisions regarding the global COVID-19 vaccination campaign. In the Kyrgyz Republic, there have been developed a national immunisation information system (IIS) for automated recording of vaccines, vaccinated persons, and AEFIs and a mobile application for AEFI reporting, called Den Sooluk. The aim of the study was to analyse the pattern of AEFIs against COVID-19 in the Kyrgyz Republic. Material(s) and Method(s): the study analysed the spontaneous safety reports submitted to the national IIS database through the Den Sooluk mobile application from 29.03.2021 to 25.09.2022. Result(s): according to the data available by 25.09.2022, the total number of vaccinated people in the country amounted to 2,940,082. At the time, the IIS database included 2111 AEFIs: 1 fatal (and coincidental), 3 severe and 2108 minor ones. AEFIs were more frequent in the young and middle-aged population (81.5%), than in the elderly (18.5%). The following AEFIs were reported: injection site pain (21.25%), fatigue (20.7%), headache (19.8%), body temperature above 38 C (10.10%), miscellaneous symptoms (5.12%), chills (4.41%), dizziness (4.32%), sore throat (3.36%), myalgia (2.9%), and nausea (2.2%). Conclusion(s): all COVID-19 vaccines used in the Kyrgyz Republic can be considered adequately safe. Pharmacovigilance of AEFIs is an integral part of the requirements to ensure the safe use of vaccines, and collecting of spontaneous reports on AEFIs supports adequate functioning of the post-marketing surveillance system. It is essential to provide access to electronic information platforms to health professionals and patients in order to ensure vaccination transparency and coordination and enable quick and safe reporting of AEFIs associated with the use of COVID-19 vaccines.Copyright © NEICON ISP LLC. All rights reserved.
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Urinary incontinence, affecting over 300 million women worldwide, regardless of race and age, is considered one of the most important health issues in the 21st century. owing to the scale of the problem, the priority should be to provide therapy to as many patients as possible. Although effective conservative treatment measures for urinary incontinence are available, they may not cater for all individuals who seek help. Sometimes, a sense of embarrassment or a fear of stigmatization causes patients' reluctance to report urinary incontinence symptoms to their health care provider and to join therapy. That forces therapists to search for a new approach. in this field, the use of mHealth technologies seems very promising. They have become even more valuable during the CoVid-19 pandemic, when the interest in telemedicine, as a means of providing care while not being exposed to the risk of virus infection, further increased. The purpose of this work was a narrative review showing possibilities of employing conservative measures to manage stress urinary incontinence in women, with a particular emphasis on the use of mHealth technologies, as recent studies have shown that mobile applications seem to be an effective tool in terms of improving stress urinary incontinence symptoms, satisfaction, and adherence to therapy.Copyright © Wroclaw University of Health and Sport Sciences.
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Healthcare monitoring frameworks emerged as one of the most essential frameworks and innovations established over the last decade. As a result of failing to provide adequate clinical attention to patients at the appropriate time, many people are facing the possibility of an untimely death. Ultimately, the goal was to develop an IoT-based integrated healthcare monitoring framework that could be relied upon by healthcare professionals to screen their patients, whether they were in the hospital or at home, to ensure that they were being well-cared for. A mobile phone-based remote healthcare monitoring framework has been constructed with the help of sensors, an information acquisition unit, a microcontroller (such as Arduino), and a product modification. This framework has the potential to provide continuous web-based data regarding a patient's physiological states (i.e., JAVA). Before transmitting it to the specialist's portable device along with the application, the framework examines the patient's temperature, heart rate, and EEG data. It then displays and saves this information. An Internet of Things-based patient monitoring framework may monitor a patient's health condition in an efficient manner and save the patient's life at the appropriate moment. © 2023 IEEE.
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Background: The outbreak of coronavirus disease 2019 (COVID-19) has caused Indonesia to take several actions and strategies in controlling the spread of infection. Padang is one of the cities in West Sumatera, Indonesia that has the highest number of COVID-19 cases. The usage of technology as a tool to minimize contact with infection in dental health care has been proven effective. However, teledentistry as an implementation of this technology is often hampered by legal issues, especially in data security. Aim(s): The purpose of this study is to determine dental practitioners' understanding of legal elements of teledentistry in Padang, West Sumatera, Indonesia. Methodology: An electronic questionnaire survey with 10 questions was developed by Google Forms, validated, and distributed electronically by zoom to 168 dental practitioners before and after the intervention. Statistical Analysis: Collected data were analyzed for statistical significance by using SPSS software (Version 16.0).. Result(s): There is a lack of prior knowledge of teledentistry in legal aspects among dental practitioners. A significant level of percentage of participants' knowledge regarding the teledentistry legal aspects has increased after the intervention. Conclusion(s): The majority of the respondents in this survey lacked adequate information and understanding of the legal aspects of teledentistry. Seminars and training are needed to increase dental practitioners' knowledge of the legal issue in teledentistry.Copyright © 2023 Kasuma et al.
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Due to the fact that the health information of pregnant women is extremely complex and delicate because of COVID-19. If adequate measures are not taken, it has to be mentioned that the exposure increases the chances of contagion, making the simple fact of having to receive one of the consultations for the control of gestation becomes very dangerous. The objective of the research is to design a mobile application for the control of pregnant women in times of pandemic in an effective and efficient way and thus decrease the contagion of COVID-19. The methodology used is the incremental model that allowed us to obtain the percentages of the application made. The result obtained is the design of the application for the control of pregnant women to show all the ailments and problems that can occur during pregnancy, from a headache to malfunction of the internal organs. Thanks to the application is already a great help for people's daily routines as these range from simple games to various applications to manage and control in making decisions from home. © 2023 Seventh Sense Research Group®
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Service providers from the informal sectors in the Philippines are left unemployed or want to look for part-time jobs due to the sudden COVID-19 pandemic. With the country on lockdown and as strict restrictions are implemented, people started adopting the e-commerce and m-commerce market. The rise in the Filipino masses using smartphones and participating in mobile commerce to purchase products and services over the Internet has given researchers a potential solution for the arising problem. Thus, the primary objective of the research is to design and develop a user-friendly mobile application that will give a platform where potential home service providers can offer their services to potential clients. HanAPP Buhay, a mobile application that is created in Android Studio with Java as a programming language, is a platform where service providers can offer a variety of home services including laundry, plumbing, cleaning, and electrical works to potential clients. As for the Application Programming Interface (API), Stripe and Firebase are the tools utilized for databases and transaction purposes. The researchers conducted a series of surveys and experiments and have determined that in the 38 trials, the HanAPP Buhay mobile application is functioning 100% accurately as expected, 99.995382330563% and 99.994941213182% working at real-time booking of appointments in the 16 trials for clients and 22 trials for workers respectively, have a reliable user's interface and secured data of both users through the Scrypt algorithm, and effective in its overall specifications in terms of customer's satisfaction. © 2022 IEEE.
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Background: Viral infections such as influenza and COVID-19 pose a serious threat to human health, which increases the demand for a new approach to enhance the host immunity. Previous studies showed that exercise activities could enhance the anti-viral neutralizing antibody titers after vaccination. We developed a novel digital device, SAT-008, as a mobile application based on an algorithm to regulate physical activity which are related to boosting innate and adaptive immune systems against virus. SAT-008 aimed to improve the activity of immune cells and the immune response in the body, which can be induced by software -designed -intensity levels of daily physical activities. Method(s): A randomized, open-label, and controlled study was conducted for 13 weeks (Oct 20 to Jan 21). A total of 42 healthy adults aged 24 to 46 years were recruited for this study and 32 among them served for analysis. Subjects were administered a single-dose quadrivalent influenza vaccine. The control group maintained daily life without using SAT-008, while the experimental group used SAT-008 during the study. Result(s): Compared to the control group, the experimental group showed a significant increase in neutralizing antibody titers of antigen subtype B Yamagata lineage after 4 weeks of vaccination and antigen subtype B Victoria lineage after 12 weeks of vaccination (P < 0.05), whereas the controls did not reach a significant level in any antibody titer. In the case of type 'A' influenza, there was no significant difference in neutralizing antibody titers between control and experimental groups. Stimulated NK cells of subjects in the control group decreased significantly between 4 weeks and 12 weeks after the vaccination (P < 0.05) while the subjects in the experimental group slightly increase the NK activity between 4 weeks and 12 weeks after the vaccination, however, there was no significance. The interaction effect was observed between control and experimental groups at weeks 4 and 12 by subsequent analysis (P < 0.05). Conclusion(s): We conclude that a novel approach using the digital device may play an important role to enhance the host immune system to act as a vaccine adjuvant against viral diseases such as influenza.
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The spread of the COVID-19 virus is challenging society to provide medical care to a growing number of patients in the hospital. It is important to determine the patient from whom an urgent appeal was received earlier and to automate the creation of the calls' queue. Determining the direction of the sound source, which is the patient's voice, can be realized using the passive acoustic location method. In this case, it is necessary to place sound sensors in the wards with patients. In such a case, these sensors it is expedient to build in the lighting equipment executed in the shape of Platonic polyhedra. The microcontroller system, located inside such a spatial structure, ensures the transmission of sound to a server computer system. The above system alternately records the receipt of urgent appeals, analyzes the location of the sound source, and sends the relevant data to the doctor's smartphone. The mobile application visualizes information about the location of the patients who need consultation or help. The proposed solution for intelligent analysis of voice appeals by inpatients may also be useful for post-stroke, post-infarction, and other bedridden patients who are unable to call medical staff otherwise than a voice. © 2023 River Publishers.
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Deep Convolution Neural Network (DCNN) based facial recognition has made significant progress in recent years. Currently, facial recognition technology has emerged as an important authentication tool on mobile devices. Hence, a fast and lightweight DCNN model is required to work accurately in limited computing resources. Meanwhile, the outbreak of the COVID-19 pandemic has led to new challenges in face recognition due to the use of facemasks. Therefore, in this study, we develop a masked face recognition application using a lightweight and efficient DCNN, which is applicable to mobile devices. Two networks for face verification tasks, named MobileFaceNet and SeesawFaceNet are explored for this purpose. We train these models on the augmented version of CelebA dataset, which originally is a set of celebrity images. We put synthetic mask on the face images in CelebA to provide a training dataset contain mix of face images with and without mask. The trained models, which are able to recognize people either wearing or not wearing masks, are then retrained on the face dataset commonly used for verification purposes, i.e. LFW (face images without mask) and MFR2 (face images wearing masks). Transfer learning is utilized to improve the network learning ability, and cosine similarity is adopted to quantify the similarity for pairs of examples. In experiment, the SeesawFaceNet model obtains better performance, with 98.8% accuracy on LFW dataset, 96% accuracy on MFR2 masked dataset. In contrast, the experiment after deployment the models on a smartphone application, the MobileFaceNet model is more superior than the SeesawFaceNet with an accuracy of 85%, an average speed of 44 milliseconds, and model size of 4.9 MB. © 2023 AIP Publishing LLC.
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The high prevalence of mental health problems among university students poses a challenge when developing effective interventions, with digital technologies emerging as a potential resource to address this problem. The inclusion of student input in the design and development of such interventions is critical to improving their impact. This study contributed to the initial phase of a research project that aims to adapt and evaluate the feasibility and acceptability of an early intervention for anxiety and depression based on digital technologies for university students. Three participatory workshops were conducted with 13 university students in Chile to inquire about the features and content that a mental health mobile app should include to meet their needs and preferences. The workshop transcripts were analysed using inductive thematic analysis. The results of this study highlight the value of modifications such as the personalisation of some features of the app. The students recommended incorporating topics related to university life and the possibility of contacting a mental health professional, as well as the inclusion of peer interaction or other forms of support.Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists.
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This paper discusses an IoT -based smart wheelchair through which the elderly and those who are physically challenged i.e., those who cannot do the basic movement without the help of others, will be able to do their basic movement. This wheelchair will also allow COVID-19 patients to move from one place to another in a relatively contactless condition at the hospital or airport. This wheelchair comes with a smart band through which the basic physical condition of the body, such as body temperature, pulse rate, blood oxygen, etc. parameters can be known. If the level of any of these parameters is abnormal, the system will immediately send a notification to the user's family member or access person. Additionally, the system has location tracking through which family members can track the user's location whenever they want. NodeMCU, temperature sensors, pulse sensors, etc., have been used as hardware to build the system and a mobile application designed for remote monitoring. © 2023 IEEE.