MFS Design in Appstore-enabled Smart Featurephones for Low-literate, Marginalized Communities

Mobile Financial Services (MFS) has gained significant popularity during the COVID-19 pandemic, especially among marginalized and low-income, low-literate communities around the world. Such communities have not been traditionally considered while designing MFS services via smartphone apps or USSD services in featurephones. Financial constraints limit such end-users towards basic featurephones, where recent appstore support has made it possible to deploy app-based MFS solutions beyond USSD. This new featurephone platform is a relatively underexplored area in terms of addressing design issues related to aforementioned end-users while developing MFS solutions. Our work addresses this gap by presenting qualitative findings on barriers to technology access focused on MFS solutions in marginal communities. We present a prototype non-USSD, app-based solution on an appstore-supported featurephone platform designed via a human-centered approach. This work has the potential to increase the financial inclusivity of marginalized communities in cashless MFS transactions via low-cost, appstore-enabled featurephones. © 2023 ACM.

Store-and-Forward Teledermatology for Assessing Skin Cancer in 2023: Literature Review

Background: The role of teledermatology for skin lesion assessment has been a recent development, particularly, since the COVID-19 pandemic has impacted the ability to assess patients in person. The growing number of studies relating to this area reflects the evolving interest. Objective: This literature review aims to analyze the available research on store-and-forward teledermatology for skin lesion assessment. Methods: MEDLINE was searched for papers from January 2010 to November 2021. Papers were searched for assessment of time management, effectiveness, and image quality. Results: The reported effectiveness of store-and-forward teledermatology for skin lesion assessment produces heterogeneous results likely due to significant procedure variations. Most studies show high accuracy and diagnostic concordance of teledermatology compared to in-person dermatologist assessment and histopathology. This is improved through the use of teledermoscopy. Most literature shows that teledermatology reduces time to advice and definitive treatment compared to outpatient clinic assessment. Conclusions: Overall, teledermatology offers a comparable standard of effectiveness to in-person assessment. It can save significant time in expediting advice and management. Image quality and inclusion of dermoscopy have a considerable bearing on the overall effectiveness. © Leah Kirsten Jones, Amanda Oakley.

Association of health behaviors with mental health problems in adolescents during COVID-19

Aim: Adolescents have experienced disruption in their daily routines, including changes in health behaviors such as an increased sedentary behavior and increased smartphone usage. The aim of this study was to assess the association of health behaviors with mental health problems. Method(s): Five cross-sectional surveys (February 2021 to May 2022) were performed during the pandemic assessing physical activity, smartphone usage, depressive symptoms (Patient Health Questionaire-9 (PHQ-9)), anxiety symptoms (Generalized Anxiety Disorder Scale 7 (GAD-7)), sleep quality (Insomnia Severity Index 7 (ISI-7)), and stress (Perceived Stress Scale 10 (PSS-10)). In total, N = 7201 adolescents (age: 14-20 years ((MW +/- SD): 16.63 +/- 1.49 years);70.2% female, 18.8% migration background) participated. Result(s): A strong increase in mobile phone usage as well as a decrease in physical activity as compared to pre-pandemic data were observed (p < 0.001). Compared to the lowest smartphone user group (<1 h/d), the adjusted odds ratios (aOR) for depressive symptoms increased with increasing smartphone usage to 1.98 (3-4 h/d), 3.30 (5-6 h/d), 4.96 (7-8 h/d), and 6.79 (>8 h/d). High utilizers (>8 h/d) were also more likely to experience clinically relevant anxiety, insomnia, or stress symptoms (aORs 3.23-5.75) compared to those using the smartphone less than 1 h/d. Conclusion(s): Results highlight the need for measures to promote responsible smartphone usage as well as to increase physical activity, so as to promote mental health in adolescence.Copyright © 2023

Mapping of functional areas in Spain based on mobile phone data during different phases of the COVID-19 pandemic

Mobility functional areas are tools based on human mobility that can be useful for spatial and transport planning in delicate situations such as the COVID-19 pandemic. In this work, we aim to map functional areas in Spain from four days corresponding to different phases of the disease. For that goal, mobile phone data provided by Spanish Statistical National Institute (INE) has been used due to its value and potential to provide constantly updated information of mobility at almost-real time. The methodology consists of a network analysis over an origin-destination matrix to obtain modularity values for 3214 population cells provided by the INE. These values were then used to cluster the cells into functional areas. The results show how different confinement and mobility restriction policies influence the amount, size and shape of the functional areas, and therefore, they affect access to services or jobs.

Experience with a mobile CT scanner as part of an airmobile hospital of the Ministry of Emergencies of Russia in the field conditions of the Far North to combat the outbreak of a new coronavirus infection.

Background. Large-scale construction of industrial and transport facilities is underway in the Far North of Russia. The process involves more than 10,000 shift workers, and there was a Covid19 outbreak in this population. In order to contain the outbreak and prevent the spread of infection in this area the Russian Emergencies Ministry deployed an airmobile hospital. Purpose. The purpose is to present an experience of work with the mobile CT scanner as part of an airmobile field hospital deployed in the Far North of Russia to combat the Covid-19 outbreak. Materials and methods. On April 6, 2020, the construction site reported a "zero patient" who sought medical aid;the PCR test showed positive results of coronavirus. In the first half of April, over 300 rotation employees applied for medical care, most of them had a positive PCR test. On April 11, a state of emergency was declared in the construction site and, on April 17, 2020, airmobile hospital started operations. Its mission lasted 54 days. The mobile CT scanner (Brightspeed Elite Mobile, GE) was transported by land. The field hospital closely cooperated with the nearest medical institutions and the regional clinical hospital. Results. During its work the airmobile hospital examined 1,678 rotational workers and 408 employees of the Ministry of Emergency Situations of the Murmansk region, with 2,086 CT scans performed. The average age of the patients was 37.8 years, men predominated. In 91.2% of patients, fever was the first symptom of the disease. Blood saturation results ranged from 92% to 99%. The degree of lung involvement ranged from CT 0 to CT 4. During the work of the airmobile hospital, COVID-19 was diagnosed in 500 people, including 328 cases of mild form, 98 - moderate, 74 - severe, no mortalities. Conclusion. A positive experience of application of the mobile CT scanner as part of the AMH field hospital in unfavorable epidemiological conditions of the Far North of the Russian Federation was obtained. CT plays a key role in early detection of infection, differential diagnosis, and identification of complications. Determination of the severity of the disease based on CT data is crucial for patient routing.Copyright © 2021 Medical Visualization. All rights reserved.

Survey of fertility counselling provision in UK licensed treatment centres during the first phase of the COVID-19 pandemic.

A survey of UK fertility counsellors' experiences of the impact on their service, including its availability, during the first phase of the COVID-19 pandemic in the spring of 2020 received 64 responses. Fifty three respondents had continued to provide a service. Forty now worked from a wholly/substantially different location to normal but many clinics provided no practical support for this (n = 17), or remote access to relevant clinic (n = 17) or client information (n = 12) and twenty five respondents reported reduced multi-disciplinary involvement. Few received regular information updates. Some whose service was stopped (n = 11) abruptly lost income and/or were unsure whether they could or would resume working. Increased remote counselling proved crucial for accessibility and could be effective. Concerns included fatigue, technical and practical challenges, confidentiality, lowered therapeutic effectiveness. Respondents supported patients having choice over how to receive counselling in the future but a third (n = 21) had not been included in such planning. These findings suggest the need for increased involvement and support of fertility counsellors in the event of a future waves, other pandemic or healthcare crisis. More needs to be understood about why clinic responses varied; how to improve the safety and efficacy of remote counselling; and how to accommodate future needs for face-to-face contact.

The Implications of Using Digital Technologies in the Management of COVID-19: Comparative Study of Japan and South Korea.

BACKGROUND: Technology can assist in providing effective infectious disease management, but it can also become a source of social injustice and inequality. To control the rapidly increasing SARS-CoV-2 infections and promote effective vaccine administration, both South Korea and Japan have been using several technology-based systems and mobile apps. However, their different approaches to technology use have yielded contrasting social implications. OBJECTIVE: Through comparative studies of the use of digital technologies for pandemic management and its social implications in Japan and South Korea, this study aimed to discuss whether the active and optimal use of technology for pandemic management can occur without subverting or compromising important social values, such as privacy and equality. METHODS: This study compared the social implications of Japan's and South Korea's contrasting approaches to technology implementation for COVID-19 pandemic management in early 2022. RESULTS: Digital technologies have been actively and comprehensively used in South Korea, enabling effective COVID-19 management, but have raised serious concerns about privacy and social equality. In Japan, technologies have been more carefully implemented, thereby not causing similar social concerns, but their effectiveness in supporting COVID-19 regulations has been criticized. CONCLUSIONS: Potential social implications such as equality concerns, the balance between public interest and individual rights, and legal implications must be carefully assessed in conjunction with effective and optimal infectious disease control to achieve sustainable use of digital health technologies for infectious disease management in the future.

Acceptability of an mHealth App for Monitoring Perinatal and Postpartum Mental Health: Qualitative Study With Women and Providers.

BACKGROUND: Up to 15% of pregnant and postpartum women commonly experience undiagnosed and untreated mental health conditions, such as depression and anxiety, which may result in serious health complications. Mobile health (mHealth) apps related to mental health have been previously used for early diagnosis and intervention but not among pregnant and postpartum women. OBJECTIVE: This study aims to assess the acceptability of using mHealth to monitor and assess perinatal and postpartum depression and anxiety. METHODS: Focus group discussions with pregnant and postpartum women (n=20) and individual interviews with health care providers (n=8) were conducted to inform the acceptability of mHealth and determine its utility for assessing perinatal and postpartum mood symptoms. Participants were recruited via purposive sampling from obstetric clinics and the surrounding community. A semistructured interview guide was developed by an epidemiologist with qualitative research training in consultation with an obstetrician. The first author conducted all focus group discussions and provider interviews either in person or via Zoom (Zoom Video Communications, Inc) depending on the COVID-19 protocol that was in place during the study period. All interviews were audio recorded with consent; transcribed; and uploaded for coding to ATLAS.ti 8 (ATLAS.ti Scientific Software Development Gmb H), a qualitative data analysis and retrieval software. Data were analyzed using the deductive content analysis method using a set of a priori codes developed based on the interview guide. Methodological rigor and quality were ensured by adopting a systematic approach during the implementation, data collection, data analysis, and reporting of the data. RESULTS: Almost all women and providers had downloaded and used at least 1 health app. The respondents suggested offering short questions in layperson language that could be understood by women of all educational levels and offering no more than 2 to 3 assessments per day at preferred timings decided by the women themselves. They also suggested that the women themselves receive the alerts first, with other options being family members, spouses, or friends if the women themselves did not respond within 24 to 72 hours. Customization and snooze features were strongly endorsed by women and providers to improve acceptability and utility. Women mentioned competing demands on their time during the postpartum period, fatigue, privacy, and the security of mental health data as concerns. Health care professionals highlighted the long-term sustainability of app-based mood assessment and monitoring as an important challenge. CONCLUSIONS: The findings from this study show that mHealth would be acceptable to pregnant and postpartum women for monitoring mood symptoms. This could inform the development of clinically meaningful and inexpensive tools for facilitating the continuous monitoring of, the early diagnosis of, and an early intervention for mood disorders in this vulnerable population.

Triage and Diagnostic Accuracy of Online Symptom Checkers: Systematic Review.

BACKGROUND: In the context of a deepening global shortage of health workers and, in particular, the COVID-19 pandemic, there is growing international interest in, and use of, online symptom checkers (OSCs). However, the evidence surrounding the triage and diagnostic accuracy of these tools remains inconclusive. OBJECTIVE: This systematic review aimed to summarize the existing peer-reviewed literature evaluating the triage accuracy (directing users to appropriate services based on their presenting symptoms) and diagnostic accuracy of OSCs aimed at lay users for general health concerns. METHODS: Searches were conducted in MEDLINE, Embase, CINAHL, Health Management Information Consortium (HMIC), and Web of Science, as well as the citations of the studies selected for full-text screening. We included peer-reviewed studies published in English between January 1, 2010, and February 16, 2022, with a controlled and quantitative assessment of either or both triage and diagnostic accuracy of OSCs directed at lay users. We excluded tools supporting health care professionals, as well as disease- or specialty-specific OSCs. Screening and data extraction were carried out independently by 2 reviewers for each study. We performed a descriptive narrative synthesis. RESULTS: A total of 21,296 studies were identified, of which 14 (0.07%) were included. The included studies used clinical vignettes, medical records, or direct input by patients. Of the 14 studies, 6 (43%) reported on triage and diagnostic accuracy, 7 (50%) focused on triage accuracy, and 1 (7%) focused on diagnostic accuracy. These outcomes were assessed based on the diagnostic and triage recommendations attached to the vignette in the case of vignette studies or on those provided by nurses or general practitioners, including through face-to-face and telephone consultations. Both diagnostic accuracy and triage accuracy varied greatly among OSCs. Overall diagnostic accuracy was deemed to be low and was almost always lower than that of the comparator. Similarly, most of the studies (9/13, 69 %) showed suboptimal triage accuracy overall, with a few exceptions (4/13, 31%). The main variables affecting the levels of diagnostic and triage accuracy were the severity and urgency of the condition, the use of artificial intelligence algorithms, and demographic questions. However, the impact of each variable differed across tools and studies, making it difficult to draw any solid conclusions. All included studies had at least one area with unclear risk of bias according to the revised Quality Assessment of Diagnostic Accuracy Studies-2 tool. CONCLUSIONS: Although OSCs have potential to provide accessible and accurate health advice and triage recommendations to users, more research is needed to validate their triage and diagnostic accuracy before widescale adoption in community and health care settings. Future studies should aim to use a common methodology and agreed standard for evaluation to facilitate objective benchmarking and validation. TRIAL REGISTRATION: PROSPERO CRD42020215210; https://tinyurl.com/3949zw83.

The Use of Telehealth Among People Living With Dementia-Caregiver Dyads During the COVID-19 Pandemic: Scoping Review.

BACKGROUND: Telehealth has gained substantial attention during the COVID-19 pandemic, and reimbursement policies in health care settings have increased access to remote modes of care delivery. Telehealth has the potential to mitigate care concerns for people living with dementia and their family caregivers. There is a paucity of knowledge on the performance of telehealth services and user experiences, especially among caregiving dyads during the pandemic. OBJECTIVE: This study aims to describe the implementation, effectiveness, user experience, and barriers to accessing and using telehealth services for people living with dementia and their caregivers during the COVID-19 pandemic. METHODS: Following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist, we searched 7 databases (PubMed, PsycINFO, AgeLine, CINAHL, Social Services Abstracts, Web of Science, and Scopus) and a web-based search engine (Google Scholar). The inclusion criteria for peer-reviewed English publications from March 2020 to August 2022 consisted of studies related to telehealth services for people living with dementia and their family caregivers and studies conducted during the COVID-19 pandemic. RESULTS: A total of 24 articles (10 quantitative and 14 qualitative studies) from 10 different countries were included. The major findings of the reviewed articles were extracted and organized into the following 4 themes: study design characteristics-strategies were adopted to improve the accessibility and experience of people living with dementia-caregiver dyads; efficacy outcomes of telehealth services-robust evidence is lacking on the comparative effectiveness of in-person services; perceived experiences of people living with dementia and caregivers-most reviewed studies reported positive experiences of using telehealth services and perceived personal and social benefits from their participants; and barriers to accessing and using telehealth services-several barriers related to individuals, infrastructure, and telehealth environments were identified. CONCLUSIONS: Although evidence of its effectiveness is still limited, telehealth is widely accepted as a viable alternative to in-person care for high-risk groups, such as people living with dementia and their caregivers. Future research should include expanding digital access for those with limited resources and low technology literacy, adopting randomized controlled trial designs to establish the comparative effectiveness of different modes of service delivery, and increasing the sample diversity.

Evaluation of the Health and Nutritional Status of Discharged Children From Malnutrition Treatment Centres Using Mobile Phone Calls During the COVID-19 Lockdown in Jharkhand, India.

Background The Indian state of Jharkhand has the highest rate of wasting (29%) among young children. Mobile audio call follow-up can be used to assess such children with severe acute malnutrition (SAM). Aim This study evaluated SAM children during the COVID-19 outbreak and learn more about the status of their home/community care, and caregivers' awareness of integrated child development services (ICDS) and COVID-19 prevention. Methods Contact numbers of caregivers for discharged children were obtained from 54 malnutrition treatment centers (MTCs). In April and June 2020, mentors conducted follow-up interviews using mobile phone calls. Results Seven children (1.72%) were reported dead and 400 were alive, mostly girls (59.5%). Only a few caregivers observed post-discharge ailments (15.4%) and weight loss (7.7%) in their children. Children aged six to 24 months were characterized by continued breastfeeding (88.0%) at most five to six times a day (45.8%). Most of the children were not fed as per maternal infant and young child feeding protocols. Age in months with an adjusted odds ratio (OR) of 0.55 (1.00-1.11) as a 95% confidence interval (CI), age category, with an adjusted OR of 4.32 (1.71- 10.94) as 95% CI, and breastfeeding with adjusted OR 1.85 (1.07- 3.21) as 95% CI were three major predictors for a well-fed child. Conclusion Community involvement is crucial in the follow-up of children with SAM for effective rehabilitation. Mobile phone audio call follow-up is a relatively cost-effective approach to tackle geographic barriers and COVID-19 lockdown-induced situations. There are major gaps mainly in informing caregivers on how to manage COVID-19 with breastfeeding.

COVID-19 vaccine hesitancy and attitudes in Pakistan: a cross-sectional phone survey of major urban cities.

BACKGROUND: COVID-19 mass vaccination is the only hopeful savior to curb the pandemic. Vaccine distribution to achieve herd immunity is hindered by hesitance and negative attitude of the public against COVID-19 vaccination. This study aims to evaluate the vaccine hesitancy and attitudes in major cities in Pakistan as well as their determinants. METHODS: A cross-sectional telephonic survey was conducted in June 2021 in major cities of Pakistan including Karachi, Lahore, Islamabad, Peshawar, and Gilgit, from unvaccinated urban population aged 18 years or older. Random Digit Dialing through multi-stage stratified random sampling was used to ensure representation of each target city and socio-economic classes. Questionnaire collected information on socio-demographics, COVID-19-related experiences, risk perception of infection, and receptivity of COVID-19 vaccination. Multivariate logistic regression analyses were performed to identify key determinants of vaccine hesitancy and acceptance. RESULTS: The prevalence of vaccinated population in this survey was 15%. Of the 2270 respondents, 65% respondents were willing to vaccinate, while only 19% were registered for vaccination. Factors significantly associated with vaccine willingness were older age (aOR: 6.48, 95% CI: 1.94-21.58), tertiary education (aOR: 2.02, 95% CI: 1.36, 3.01), being employed (aOR: 1.34, 95% CI: 1.01, 1.78), perceived risk of COVID-19 (aOR: 4.38, 95% CI: 2.70, 7.12), and higher compliance with standard operating procedures (aOR: 1.72, 95% CI: 1.26, 2.35). The most common vaccine hesitancy reasons were 'no need' (n = 284, 36%) and concerns with 'vaccine safety and side effects' (n = 251, 31%), while most reported vaccine motivation reasons were 'health safety' (n = 1029, 70%) and 'to end the pandemic' (n = 357, 24%). CONCLUSIONS: Although our study found 35% hesitancy rate of COVID-19 vaccine, there were noticeable demographic differences that suggest tailored communication strategy to address concerns held by most hesitant subpopulation. Use of mobile vaccination facilities particularly for less mobile and disadvantaged, and implementation and evaluation of social mobilization strategy should be considered to increase overall COVID-19 vaccination acceptance and coverage.

Prediction of Contaminated Areas Using Ultraviolet Fluorescence Markers for Medical Simulation: A Mobile Phone Application Approach.

The use of ultraviolet fluorescence markers in medical simulations has become popular in recent years, especially during the COVID-19 pandemic. Healthcare workers use ultraviolet fluorescence markers to replace pathogens or secretions, and then calculate the regions of contamination. Health providers can use bioimage processing software to calculate the area and quantity of fluorescent dyes. However, traditional image processing software has its limitations and lacks real-time capabilities, making it more suitable for laboratory use than for clinical settings. In this study, mobile phones were used to measure areas contaminated during medical treatment. During the research process, a mobile phone camera was used to photograph the contaminated regions at an orthogonal angle. The fluorescence marker-contaminated area and photographed image area were proportionally related. The areas of contaminated regions can be calculated using this relationship. We used Android Studio software to write a mobile application to convert photos and recreate the true contaminated area. In this application, color photographs are converted into grayscale, and then into black and white binary photographs using binarization. After this process, the fluorescence-contaminated area is calculated easily. The results of our study showed that within a limited distance (50-100 cm) and with controlled ambient light, the error in the calculated contamination area was 6%. This study provides a low-cost, easy, and ready-to-use tool for healthcare workers to estimate the area of fluorescent dye regions during medical simulations. This tool can promote medical education and training on infectious disease preparation.

Monintoring Student Depression by Mobile Devices with Autoencoder Networks

The timely assessment of mental health is difficult since we lack the objective measurements of symptoms, especially for the Covid-19 pandemic quarantined students. Fortunately, smart phones can capture the real-world data such as the GPS traces and the phone active time et.al that link the behavioral patterns to the mental health. However, recent studies are based on a very small size of participants and only collect fewer phone features, which means that the effective predicting models which require various features are hardly adopted. In this paper, we develop an android application to record multidimensional data of users as well as a PHQ-9 and a SAS questionary, and we distribute it to 176 college students to collect larger scale data when in quarantine period. To address the unprecise problem of handcrafted feature extraction, we design an autoencoder machine learning model to monitor the student mental health. Extensive experiments indicate that the performance of the proposed method improves its F-1 score for PHQ-9 and SAS by 5% and 6% to the state of the current studies, respectively. © 2023 IEEE.

Immunosuppression Doubles the Risk of Covid-19 Infection in a Large Vaccinated Cohort of 898 Patients with Rheumatic Diseases: Implications for Future Practice

Background/Aims It is recognised that immunosuppressive medications, often relied upon in the management of autoimmune rheumatic disease, inhibit vaccine-induced immunity against the SARS-CoV-2 virus. A key challenge for rheumatologists is maximising immunity provided by the vaccine in their patients. Recent data has implicated methotrexate (MXT), a commonly used disease modifying anti-rheumatic drug (DMARD), in reducing patients' vaccine-induced immunity against the virus and studies have demonstrated the effectiveness of pausing MXT medication for 2-weeks after receiving the vaccine in boosting patients' immunity. There is a lack of data exploring the impact of concurrent biologic-DMARD (b-DMARD) use with MXT on COVID-19 infection rates in vaccinated individuals. This analysis forms part of a larger programme of research (clinicaltrials.gov NCT04542031) exploring COVID-19 in patients with rheumatic disease. Here we provide a comparative analysis of COVID-19 infection rates between patients taking MXT either with or without b-DMARD therapy and those on no immunosuppression. Methods We distributed two web-based questionnaires via SMS-messaging in April 2020 and December 2021 and two interim monitoring questionnaires in December 2020 and June 2021. All rheumatology patients with a valid mobile telephone number under follow up at the Royal Wolverhampton Trust were invited to participate in the study;those that consented received follow up questionnaires. We collected information on demographics, rheumatology diagnosis and treatment, vaccination status, and COVID-19 infection rates. Data were collected 7-days following questionnaire distribution. Results Initial questionnaires were sent to 7911 active follow up patients, 1636/ 7911 (21%) responded and consented to further follow up;906/1636 (55.4%) provided a complete response to the final survey which was subsequently linked to survey one enabling analysis. Responders were female (622/906, 68.7%), white (865, 95.5%), 60 years or above (519, 57.3%), and vaccinated (898/906;99.1%). Of those vaccinated significantly more patients that were on any immunosuppressive therapy compared to those on no immunosuppression (92/530 (17.4%) vs. 26/368 (7.1%);p<0.001), and more in the MXT monotherapy group compared to no immunosuppression (33/222 (14.9%) vs. 26/368 (7.1%);p=0.001) contracted COVID-19. Similar numbers in the MTX and b-DMARD and b-DMARD without MXT groups (23/140 (16.4%) vs. 36/168 (21.4%);p=0.23) contracted COVID-19. Conclusion Recent trial data from the VROOM study has demonstrated that omitting a patients MXT therapy for a 2-week period following administration of the COVID-19 vaccine doubles their antibody response. This data highlights that the risk of COVID-19 infection in vaccinated rheumatology patients is doubled in patients on any immunosuppressive medication compared to those on no immunosuppression, while there is no significant difference in infection rates between patients on MXT and a b-DMARD and b-DMARD therapy without MXT. Further work exploring the impact of different types of immunosuppression on COVID-19 vaccine-induced immunity and simple interventions to maximise this immunity in immunosuppressed individuals is required.

Opportunities And Threats In Digital Education

COVID-19 pandemic has caused havoc worldwide. India is also facing challenging circumstances as the figure of infected/positive cases is rising day by day. This study deals with the development of education: Post COVID-19. This paper will help to understand "Digital Education: Opportunities and Threats". The Corona virus has exposed emerging vulnerabilities in learning systems all over the world. A lot of relevant literature was explored to confine the essence of continued learning during these exceptional times. Educational organizations all over the world are moving towards online/Digital learning. This paper also proposes digital education as an urgent need in this lock downs times and social distancing due to COVID-19 pandemic. It also provides a powerful stage for further research. The use of digital technology in education is experiencing a tremendous boom in education sector with cost effectiveness. Although it is unclear whether technology will plug all of the holes in the Indian Education system but it seems that technology is playing a major role in education interventions. Due to advancements in technology, accessibility of low-priced laptops/mobiles, wireless equipments, and related communications setups signs both opportunities and challenges for learning organizations and their faculty and students. Digital Education has potential that can produce knowledge workers. The government has analyzed that ICT sector has important role in education due to that many programmes such as NEOR, NMEICT, NKN, Eklavya, NPTEL, and NROER has been launched. Digital Education has bring success in the field of education but still there area number of challenges in most of Indian institutes like shortage of quality teachers, deprived quality of research, and deprived quality of training etc. Digital Education is overall very beneficial for the students of country like India.Copyright © 2020 Ubiquity Press. All rights reserved.

Psychological Impact of E-Learning among Students: A Survey

Aim: This study is conducted to know the psychological impact of e learning among the students. Background(s): From the time of very first beginning of civilization to modern days before corona pandemic situation, most of the students of India are very much used to with the offline mode of learning. But now the situation is changed totally. They are getting themselves adapted to the online mode of learning as per need of time. In this changed scenario they are totally disconnected from their usual life with frames schools teachers and society. This situation wreaks havoc to their psychology. Methodology: This study is conducted with primary data in form of online survey. It was conducted with a pre formed questionnaire. 428 responses were collected for the present study. With advanced Excel software statistical analysis done. Outcome(s): Results show that students have shown negative impression on online learning and still they are not ready totally psychologically. Still positive answers show neck to neck result, which signifies increasing interest towards e learning. More practices and awareness required before further implementation.Copyright © 2020 Ubiquity Press. All rights reserved.

Design of illumination system using characterized illuminances for smartphone-based fundus camera.

Recently, smartphone-based fundus camera (SBFC) research has been actively conducted in response to the need to expand medical infrastructure in underdeveloped countries and the increased telemedicine since the COVID-19 pandemic. Compared to the conventional table-top system, SBFCs have technical challenges that make it difficult to guarantee uniform illumination and avoid back-reflection because of the design constraints of minimizing the form factor and cost. This paper proposes a novel illumination design methodology using characterized illuminance to obtain high-quality fundus images for SBFCs. Key performance indicators (KPIs), such as retinal uniformity, back-reflection suppression, and optical efficiency, were defined to evaluate the performance of the illumination system. Each KPI was calculated using optical simulation software based on Monte-Carlo ray tracing and mapped into a normalized three-dimensional coordinate, the retinal illumination performance space (RIPS). In RIPS, the KPIs are combined into a single parameter ΔRIPS, which is the quantitative difference evaluated as the Euclidean distance between the ideal and actual design point. A compact SBFC illumination system with five design variables was presented to verify the proposed methodology. The final design values at the minimum ΔRIPS were determined using the Taguchi method and response surface methodology. Finally, a working prototype was built, and fundus images were acquired by clinical testing under institutional review board approval. The fundus image had sufficient brightness and resolution to diagnose the lesion with a viewing angle of approximately 50° in one shot.

Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges.

Emergency medicine and its services have reached a breaking point during the COVID-19 pandemic. This pandemic has highlighted the failures of a system that needs to be reconsidered, and novel approaches need to be considered. Artificial intelligence (AI) has matured to the point where it is poised to fundamentally transform health care, and applications within the emergency field are particularly promising. In this viewpoint, we first attempt to depict the landscape of AI-based applications currently in use in the daily emergency field. We review the existing AI systems; their algorithms; and their derivation, validation, and impact studies. We also propose future directions and perspectives. Second, we examine the ethics and risk specificities of the use of AI in the emergency field.