Submit a Manuscript to the Journal
Critical Public Health
For an Article Collection on
AI Driven Proactive Health Care Education and Disease Prevention
Manuscript deadline
Article Collection Guest Advisor(s)
Adjunct Research Professor Dr. Supaprawat Siripipatthanakul ,
Faculty of Public Health, Bangkokthonburi University, Thailand
supaprawat.sir@bkkthon.ac.th
Associate Professor Dr. Astri Dwi Andriani ,
Strategic Research Institute, Asia Pacific University, Malaysia
astridwiandriyani@unpi-cianjur.ac.id
Associate Professor Dr. Syamsul Hadi ,
Universitas Sarjanawiyata Tamansiswa, Indonesia
syamsul.hadi@ustjogja.ac.id
Benefits of Publishing in an Article Collection
An Article Collection is an opportunity for your research to reach the right audience. Bringing together the work of the global research community, Collections provide readers with a central place to find the latest research on emerging and important topics. They have been found to increase the discoverability and visibility of each article, as well as article-level citations.
AI Driven Proactive Health Care Education and Disease Prevention
Learning proactively about health care and disease prevention through AI technology is a revolution in how people and societies interact with their health. AI technologies allow people to maintain their health, detect problems, and reduce the risk of developing diseases. Using large volumes of data gathered from electronic health records, wearable devices, genetics, and behaviour, AI technologies could be used to detect risk factors and predict future health issues, providing proactive educational information.
Individuals can receive personalized materials about nutrition, physical exercise, vaccination, and
maintaining good health and staying motivated through adaptive learning. AI could also contribute to public health issues by monitoring disease outbreaks, focusing health education programs on specified groups, and providing timely information. Predictive analytics and machine learning could help make educational material clear, sensitive, and up to date, considering recent developments in medicine and society's needs. The use of AI can address inequality in healthcare education by translating complicated material into easy-to-read content, educating multicultural communities, and ensuring equitable healthcare services. By shifting the focus from treatment to education and prevention, it becomes possible to benefit both individuals and our health care system. Implementing AI can lead to longevity and increased quality of life, as well as improved society's ability to face new health issues.
The use of AI in the field of health care education and disease prevention is an important application being explored within public health. This collection welcomes scholarly submissions, including research, reviews, and case studies, on the use of AI-enabled technology to contribute to the future of disease prevention through education, early detection, risk assessment, and community engagement. Relevant subtopics include disease surveillance using machine learning; ethical considerations around AI applications in public health; behaviour change communications enabled by AI; and digital health equity.
Please see our AI policy when submitting your manuscript here.
Keywords: AI-driven, Healthcare Promotion, Disease Prevention, Healthcare Education, Chatbots
Dr. Supaprawat Siripipatthanakul is an Adjunct Professor in the DBA program at GlobalNxt University in Malaysia. He is also a senior member of the Faculty of Public Health and the Faculty of Education at Bangkokthonburi University in Thailand. His research area is Healthcare Promotion and Prevention.
Dr. Astri Dwi Andriani is an Associate Professor at Universitas Putra Cianjur, Indonesia, and a Postdoctoral Fellow at the Strategic Research Institute, Asia Pacific University of Technology and Innovation (APU), Malaysia. Her research area is communication research.
Dr. Syamsul Hadi is an associate professor at Universitas Sarjanawiyata Tamansiswa, Indonesia. His research area is management in HR and organization.
All manuscripts submitted to this Article Collection will undergo desk assessment and peer review if they can pass the desk assessments as part of our standard editorial process; the Guest Advisor for this Collection will not be handling the manuscripts (unless they are an Editorial Board member).
The deadline for submitting manuscripts is 13th August 2027.
Please contact Saniya Qureshi at saniya.qureshi@taylorandfrancis.com with any queries and discount codes regarding this Article Collection.
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All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Guest Advisors for this Collection will not be involved in peer-reviewing manuscripts unless they are an existing member of the Editorial Board. Please review the journal Aims and Scope and author submission instructions prior to submitting a manuscript.