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Call for papers - Infectious disease modeling: Impact on public health practices

Guest Editor

Trystan Leng, PhD, Imperial College London, UK

Submission Status: Open   |   Submission Deadline: 23 October 2025
 

BMC Global and Public Health is calling for submissions to our Collection on innovative research addressing pressing global health challenges. We aim to highlight studies that improve prevention, response strategies, and risk assessment, contributing to better health 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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Trystan Leng, PhD, Imperial College London, UK

Trystan is an Infectious Disease Modeler at the School of Public Health, Imperial College London, UK. In his research, he uses models to evaluate the effectiveness of public health interventions and to understand how the structure of models impacts their predictions. His research has assessed interventions aimed at reducing the transmission of gonorrhea, HIV, and SARS-CoV-2. Recently, he has become interested in understanding the broader societal impact of infectious disease control and how to integrate these impacts into epidemiological frameworks.

About the Collection

BMC Global and Public Health is calling for submissions to our Collection on innovative approaches that advance our understanding of health issues impacting communities worldwide. This Collection will serve as a forum for sharing research that improves our ability to respond to critical challenges in disease control and prevention, fostering resilience in health systems and enhancing public health preparedness.

The aim of this Collection is to explore the dynamic field of infectious disease research and the critical insights it provides for effective public health interventions. We seek original studies, reviews, and case reports that shed light on how predictive methods and analyses can inform decision-making and improve health outcomes. Potential topics include, but are not limited to:

  • Use of mathematical and statistical approaches to simulate disease transmission
  • Novel methods for forecasting and early warning systems for disease outbreaks
  • Evaluating the impact of vaccination and other preventive measures on disease dynamics
  • Analysis of vector-borne disease spread and control strategies under changing environmental conditions
  • Integration of socioeconomic and demographic factors in risk assessment models
  • Machine learning and AI applications in infectious disease prediction
  • Incorporating One Health perspectives to understand zoonotic transmission risks

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.

Contributions to this Collection will provide valuable insights to guide policy-making and practical solutions in public health. We invite researchers, practitioners, and policymakers to share evidence that advances our understanding of how to better predict and mitigate the impact of infectious diseases on populations, especially those disproportionately affected by health inequities.

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

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.

Image credit: © imagedepotpro / Getty Images / iStock

Submission Guidelines

This Collection welcomes submissions 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 "Infectious disease modeling" from the dropdown menu.

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.