The Open Public Health Journal

Aims and Scope:
The Open Public Health Journal is an Open Access journal which publishes original research articles, reviews/mini-reviews, short articles and guest edited single topic issues in the field of public health. Topics covered in this interdisciplinary journal include: public health policy and practice; theory and methods; occupational health and education; epidemiology; social medicine; health services research; ethics; environmental health; adolescent health; AIDS care; and mental health care.

The Open Public Health Journal, a peer reviewed journal, is an important and reliable source of current information on developments in the field. Emphasis is placed on publishing quality papers, making them freely available to researchers worldwide.
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ISSN: 1874-9445

Special Issues With Active Call for Papers

Submission closes on: Dec 28, 2025
Global Health Equity in the Digital Age: Leveraging Technology for Inclusive Public Health

The digital transformation of healthcare presents unprecedented opportunities to address global health inequities while simultaneously raising concerns about technological accessibility and implementation. This special issue explores how digital health technologies can be leveraged to promote health equity across diverse populations and resource settings. By examining innovative approaches to digital health interventions, ethical considerations, and practical implementation strategies, this issue aims to contribute to the development of more inclusive and effective public health systems. Recent research... see more

Guest Editor(s): Dr. Nohman Khan
Co-Guest Editor(s): Dr. Nguyen Thuy Van,Dr. Gan Kia Hui
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Submission closes on: Dec 22, 2025
Advanced Data Science and Computer Vision Techniques for Early Detection and Treatment of Brain Cancer

This call for papers invites researchers, clinicians, and technologists to submit original contributions on the application of data science and computer vision in the early detection, diagnosis, and treatment of brain cancer. The aim is to explore novel approaches leveraging machine learning, deep learning, and AI-driven imaging techniques to enhance accuracy in identifying brain tumors, predict patient outcomes, and improve treatment efficacy. As brain cancer presents unique challenges due to its complexity and variability, the... see more

Guest Editor(s): Dr. Sandeep Kumar Mathivanan
Co-Guest Editor(s): Dr. Saurav Mallik,Dr. Sangeetha S.K.B
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