At BMC Global and Public Health, we are committed to advancing high quality infectious disease research and accelerating progress toward Sustainable Development Goal 3 (SDG 3): Good Health and Wellbeing. As one of BMC’s latest flagship, open access journals, we aim to provide a dynamic and trusted platform for rigorous science, informed debate, and meaningful global impact.
The journal’s mission to advance evidence that strengthens preparedness, informs policy, and improves public health practice is evident across our exciting publications exploring infectious disease topics. We are delighted to highlight some of the following examples, including an article that examines why excess mortality varied across 13 Western European countries during the COVID-19 pandemic, showing that early nonpharmaceutical interventions, rapid vaccine rollout, and structural factors such as government trust and poverty levels played key roles in affecting mortality (Patterns and drivers of excess mortality during the COVID-19 pandemic in 13 Western European countries).
In another study, researchers mapped two decades of shifting geographic and demographic patterns in leprosy across Pakistan, underscoring persistent disease burden and the need for targeted interventions (Tracing leprosy trends in Pakistan: a two-decade analysis of geographic and demographic shifts (2001–2023)).
Finally, we have also published research demonstrating that faster vaccination response times in low and middle-income countries could substantially lessen the impact of vaccine preventable disease outbreaks and improve public health outcomes (Estimating the impact of decreasing vaccination response times for outbreaks of vaccine-preventable diseases in low- and middle-income countries).
BMC Global and Public Health is always eager to work with researchers contributing to infectious disease priorities—including infectious disease modelling, for which we currently have a guest-edited Collection open for submissions (Infectious disease modeling: Impact on public health practices).
Ben holds a Master’s degree in Molecular Exercise Physiology and a PhD in Epidemiology and Healthcare from University College London. His PhD focused on the implementation of primary care blood tests for early cancer diagnosis. Ben previously worked as a clinical trial manager at the Nuffield Department of Primary Care Health Sciences at the University of Oxford. Ben joins BMC Global and Public Health to handle content in the fields of cancer, epidemiology, health sciences and technology, health equity, and more. He is based in the London office.
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BMC Global and Public Health
An open access, transparent peer review journal publishing outstanding and influential research and opinion of broad interest to all professional communities involved in global and public health research, policy-making, implementation and delivery worldwide.
Related Collections
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Advanced data-driven analytical frameworks to support and improve policy decisions
BMC Global and Public Health is calling for submissions to our Collection on how the integration of advanced data-driven methods in public health policy is rapidly transforming how we understand and respond to global health challenges. This Collection focuses on the application of innovative statistical modelling, machine learning, and geographic information systems (GIS) to inform health policy decisions. By integrating data from surveys and health records with information on social and environmental determinants, researchers can uncover actionable insights that enhance the effectiveness and efficiency of health interventions across diverse populations.
The relevance of these advanced methodologies is underscored by recent advancements in methods for data collection and analysis, which have enabled researchers to create more precise models for predicting disease outbreaks, evaluating health interventions, and addressing health disparities. As public health continues to confront complex issues such as pandemics and non-communicable diseases, the ability to leverage data-driven strategies becomes increasingly vital for crafting evidence-based policies that are responsive to real-world challenges.
Continued research in this area could lead to groundbreaking methodologies that enhance our understanding of health dynamics and improve public health responses. Future advancements may include the development of real-time data analytics for tracking disease spread, enhanced spatial epidemiological models that account for environmental variables, and improved collaboration between data scientists and public health professionals. By further integrating data science with public health, we can pave the way for more effective interventions and ultimately improve health outcomes globally.
We encourage submissions in the following areas, with a particular interest in studies relevant to low- and middle-income countries (LMICs); however, contributions from all settings are welcome, including:
- Applications of Machine Learning in Public Health
- Spatial Epidemiology and Disease Mapping
- Statistical Modeling for Health Policy Decisions
- GIS in Public Health Decision Making
- Evidence-Based Approaches to Infectious and Non-communicable Diseases
This Collection supports and amplifies research related to SDG 3: Good Health and Well-being.
All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer-review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.
Publishing Model: Open Access
Deadline: Aug 14, 2026
Food security, nutrition, and dietary trends
BMC Global and Public Health is calling for submissions to our Collection on food security, nutrition, and dietary trends. These are interconnected elements that profoundly impact global health and well-being. As the world grapples with rapid population growth, climate change, and economic disparities, the challenges surrounding food access, quality, and sustainability have intensified. This Collection aims to gather diverse research that examines these complex relationships, focusing on how dietary patterns, food availability, and nutritional status influence overall health outcomes. By exploring the multifaceted nature of food systems, this Collection seeks to showcase pathways to achieve improved food security and nutritional health worldwide.
The goal of this Collection is to build a comprehensive body of knowledge that informs policy and practice. We encourage submissions that investigate:
Impact of dietary patterns on health outcomes
Addressing food insecurity through policy
Role of ultra-processed foods in nutrition
Personalized nutrition and dietary therapy
Nutritional supplements for malnutrition
This Collection supports and amplifies research related to SDG 2: Zero Hunger and SDG 3: Good Health and Well-Being.
We encourage work from local, regional, national, and global partnerships and collaboration among multidisciplinary scientists using multiple methodologies. We ask that authors be careful to use non-stigmatizing/preferred language in their manuscripts as outlined in relevant language guidelines for their respective fields.
All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer-review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.
Publishing Model: Open Access
Deadline: Aug 28, 2026
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