Suchergebnisse

Digital Bioinformatics Innovation Initiative (DBII) is a branch of science that used Information and Communication Technologies (ICTs), government electronic services such as electronic government (e-government), electronic health (e-health), and mobile technologies (mobile health) to examine knowledge and information. DBII can also use Internet services or Fourth Generation (4G), and Fifth Generation (5G) services for its deployment and implementation opportunities in developing nations health and healthcare system and other domains. Some of the current digital bioinformatics processes are geometadata profiling, use of mobile technologies (mobile phones) and Artificial Intelligence (AI) in various 5G readiness deployment fields. Despite the benefits of this novel digital innovation, its deployment and implementation have been affected by poverty, lack of enough routine anticipation and determination, initial understanding of mobile phone, inadequate of research funding, personal innovativeness, lack of stable and dependable research methodologies. At present, there is limited number of research that highlighted these aspects to fill in research gaps and find alternative solution to DBII research problems. Therefore, a pilot survey was conducted among professionals in various fields who are knowledgeable about DBII from February 20th, 2020, to January 1st, 2022. Eight academic research professionals, and fifteen health and healthcare workers validated 6 behavior intention factors. Similarly, six hundred postgraduate and undergraduate students, health and healthcare specialists and other professionals across six Nigerian geographical zones participated in pilot survey using the proposed Precaution Adoption Model Process (PAMP) Mobile health questionnaire. Under this situation Principal Component Analysis (PCA) pre-processed online geometadata profiles, experts confirmed behavior intention items towards hypothesis generation, hypothesis testing, and development of digital bioinformatics framework of to use mobile ...

Digital-Health Tourism Innovation (DTI) worldwide is in its infancy due to the emergent of coronavirus (COVID-19) disease. With the growth of open geometa data, use of government electronic services including electronic health (e-health), electronic commerce (e-commerce) and mobile health (m-health), Artificial Intelligence (AI) and machine learning strategies. Health and primary healthcare sectors are currently adopting these innovations for socio-economic wellbeing. Digital-health (also termed as e-health) is part of digital tourism innovation. Adapting geometa data profiling to develop a digital-health tourism framework for Primary Healthcare Workers (PHWs) to use mobile health technologies in COVID-19 vaccination trials are the key challenges of this study. Nevertheless, digital health tourism skills have been launched in developing Nations that created thousands of jobs to protect digital tourism businesses from potential vulnerabilities. Despite the benefits of this novel innovation, its deployment and implementation have been treated by inadequate of ICT facilities, lack of geometa data pre-processing to remove noise, data integrity, insufficient of academic research fundings, and reliable research methodology beyond COVID-19 vaccination trials to highlight these aspects. Therefore, qualitative, and quantitative research methods using Precaution Adoption Model Process (PAMP) questionnaire are employed to enable new ways of pre-processing behavior intention factors items. Eight academic researchers who were conversant with digital health technology validated 28 behavior intention factors with average factor loading values of 50% to 75%. Pilot survey conducted among 700 respondents from March 18, 2020, to September 10, 2021, among them are undergraduate students that may use this technology for research purposes. Pre-processed geometa data have shown percentage frequency counts of internet access and other online services 8% to 95%, adapted training factors 49% to 92% and factor items 34% to 78.3% for hypothesis generation towards development of digital health tourism framework in finding explanation to COVID-19 economic challenges. Except behavior intention factors and factor items insights are known and mapped, mobile health technology design process may result in poor conclusions. Thus, patients recovered from COVID-19 infection can still be infected again.