Digital Innovations for Occupational Safety: Empowering Workers in Hazardous Environments.

Background: The quest to increase safety awareness, make job sites safer, and promote decent work for all has led to the utilization of digital technologies in hazardous occupations. This study investigated the use of digital innovations for safety and health management in hazardous industries. The key challenges and recommendations associated with such use were also explored.

Early-stage pregnancy recognition on microblogs: Machine learning and lexicon-based approaches.

Pregnancy carries high medical and psychosocial risks that could lead pregnant women to experience serious health consequences. Providing protective measures for pregnant women is one of the critical tasks during the pregnancy period. This study proposes an emotion-based mechanism to detect the early stage of pregnancy using real-time data from Twitter.

Digital technology adaptation and initiatives: a systematic review of teaching and learning during COVID-19.

Unlabelled: COVID-19 dramatically influenced students' and staff's learning and teaching experiences and approaches to learning. While many papers examined individual experiences in the context of higher education, synthesising these papers to determine enabling and hindering influences of digital adaptation was needed to guide the next phase of online learning reforms. This study explored the main dimensions of digital technology adaptation in higher education during the COVID-19 pandemic.

A non-invasive machine learning mechanism for early disease recognition on Twitter: The case of anemia.

Social media sites, such as Twitter, provide the means for users to share their stories, feelings, and health conditions during the disease course. Anemia, the most common type of blood disorder, is recognized as a major public health problem all over the world. Yet very few studies have explored the potential of recognizing anemia from online posts.

Users' intention to continue using mHealth services: A DEMATEL approach during the COVID-19 pandemic.

The coronavirus disease 2019 (COVID-19) has changed the way we use and perceive online services. This study examined the influence of service quality factors during COVID-19 on individuals' intention to continue use mHealth services. A decision-making trial and evaluation laboratory (DEMATEL) approach was used to identify and analyse the relationships between service quality and individuals' intention to continue use mHealth during the COVID-19 pandemic.

The development of telemedicine programs in Sub-Saharan Africa: Progress and associated challenges.

Monitoring the progress of telemedicine use in Sub-Saharan Africa (SSA) countries has received a considerable attention from many health organizations and governmental agencies. This study reviewed the current progress and challenges in relation to the development of telemedicine programs in SSA. The results from reviewing 66 empirical studies revealed an unbalanced progress across SSA countries.

Telemedicine use in Sub-Saharan Africa: Barriers and policy recommendations for Covid-19 and beyond.

Background: Telemedicine has been a useful healthcare alternative in the fight to contain the recent Covid-19 global pandemic. Yet the extent of its application and efficacy as an alternative route for healthcare provision remains a major concern for clinicians and patients.

Objective: This study sought to identify barriers to the successful implementation of telemedicine in Sub-Saharan African (SSA) countries.

Telemedicine in Middle Eastern countries: Progress, barriers, and policy recommendations.

Background: Despite attempts to reform the healthcare delivery system in the Middle East, expectations for its progress have been-and for some still are-somewhat slow.

Objective: This study reviewed progress in the use and adoption of telemedicine in Middle Eastern countries. The key dimensions affecting the progress of telemedicine in these countries were identified.

A comparative review of mobile health and electronic health utilization in sub-Saharan African countries.

This study distinguished between the application of e-health and m-health technologies in sub-Saharan African (SSA) countries based on the dimensions of use, targeted diseases or health conditions, locations of use, and beneficiaries (types of patients or health workers) in a country specific context. It further characterized the main opportunities and challenges associated with these dimensions across the sub-region. A systematic review of the literature was conducted on 66 published peer reviewed articles.