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.

BMC Global and Public Health is calling for submissions to our Collection on the intersection of climate change and global and public health. This Collection seeks to unpack the profound impacts of climate change on population health, health equity, and health systems – and the solutions needed to protect health, reduce inequities, and enhance health system resilience.

We welcome papers covering diverse geographies and populations (especially marginalized groups), climate hazards and risks (both direct and indirect), diseases and health outcomes (including physical and mental health), and health system areas. Submitted papers may fall under the following sub-themes:

1. Climate and Health Pathways and Mechanisms

How climate change affects population health, health equity, and health systems – with a focus on the pathways and mechanisms, the wide range of upstream drivers (ex. ecosystem change) and downstream determinants (ex. social conditions) involved, and existing and emerging solutions to address them

2. Climate Justice and Health Equity

How climate change worsens existing health inequities and impacts marginalized communities – and the range of solutions – from the community to the policy level – required to achieve climate justice and health equity

3. Data for Climate and Health: Challenges and Innovations

What data gaps and challenges are faced in climate and health research and action – and the emerging methodological, technological, and governance innovations for overcoming them to inform policies and societal responses

4. Interventions for Climate Change and Health

What are the emerging interventions – ex. clinical, technological, community-based, institutional – for climate-health problems – at micro, meso, and macro levels – and evidence of effectiveness, lessons learned from their implementation, and prospects for sustainability and scale up

This Collection supports and amplifies research related to SDG 3: Good Health and Well-Being and SDG 13: Climate Action.

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.