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Call for papers - Artificial intelligence and public health

Guest Editors 

Rebecca Charow, MSc, University Health Network, Canada
Lena Petersson, PhD, Halmstad University, Sweden

Submission Status: Open   |   Submission Deadline: 5 December 2024

BMC Public Health is calling for submissions to our Collection on AI and public health, recognizing the pivotal role of artificial intelligence (AI) in healthcare transformation. This call invites researchers to explore the intersection of AI and public health, covering diverse topics such as data-driven disease surveillance, predictive modeling, ethical considerations, and personalized interventions. The Collection envisions a future where AI enables enhanced early detection, optimized resource allocation, and targeted healthcare strategies, promising significant improvements in global public health outcomes. Researchers are encouraged to contribute their expertise to propel advancements in utilizing AI for the betterment of healthcare systems and outcomes worldwide.

New Content ItemThis Collection supports and amplifies research related to SDG 3: Good Health and Well-being.

Meet the Guest Editors

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Rebecca Charow, MSc, University Health Network; University of Toronto, Canada

Rebecca Charow is a Research Associate at the University Health Network and a PhD student in Health Services Research at the Institute of Health Policy, Management, and Evaluation (IHPME) at the University of Toronto. Rebecca’s research interests lie at the intersection between digital health technologies, culture and patient experience. She is now working on a series of projects that explores what it means to provide compassionate care in this digital age, that is, ‘digital compassion’.

Lena Petersson, PhD, Halmstad University, Sweden

Lena Petersson is an Assistant Professor in pedagogy at Halmstad University, Sweden, and she has a PhD in Working Environment Technology from Lund University. Her research interest concerns how knowledge and information practices change in a digital society, information transparency, and digitalization in the healthcare sector. Her current research is focused on understanding the challenges and needs that arise in the implementation of AI in healthcare, specifically focusing on how existing knowledge from implementation and improvement research can be mobilized to increase the success of AI implementation initiatives in healthcare.

About the Collection

BMC Public Health invites submissions to our new Collection, Artificial intelligence and public health.

In the age of technological progress, incorporating artificial intelligence (AI) into public health is crucial for transformative advancements. AI's swift analysis of vast datasets has already led to breakthroughs in disease prediction and personalized interventions. Embracing AI allows us to imagine a future with enhanced early detection, optimized resource allocation, and targeted healthcare strategies. This shift towards data-driven insights holds the promise of significantly improving global public health outcomes. 

We invite researchers and experts in the field to contribute to this innovative collection, exploring the intersection of AI and public health and its potential impact on healthcare systems and outcomes. Potential areas of interest include, but are not limited to:

  • Data-driven approaches for disease surveillance and monitoring
  • Predictive modeling and machine learning in public health outcomes
  • Ethical considerations and societal implications of AI in public health
  • Integration of AI in public health informatics for enhanced data analysis
  • Precision public health and personalized interventions
  • AI applications in epidemiology and outbreak response
  • Optimization of healthcare access and delivery through AI


By exploring the integration of artificial intelligence in public health, the collection directly contributes to the goal of ensuring healthy lives and promoting well-being for all, and aligns  with the UN' SDG 3, Good Health and Well-being.


Image credit: imaginima / Getty Images / iStock

  1. Burnout is usually defined as a state of emotional, physical, and mental exhaustion that affects people in various professions (e.g. physicians, nurses, teachers). The consequences of burnout involve decreased...

    Authors: Gergely Feher, Krisztian Kapus, Antal Tibold, Zoltan Banko, Gyula Berke, Boroka Gacs, Imre Varadi, Rita Nyulas and Andras Matuz
    Citation: BMC Public Health 2024 24:2322
    Content type: Research Published on:

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp . During the submission process you will be asked whether you are submitting to a Collection, please select "Artificial intelligence and public health" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.