Introduction

High-quality infectious disease modelling is essential for designing effective public health strategies. The Infectious Disease Modelling for Health Policy collection highlights research that improves our understanding of transmission dynamics and provides evidence to guide policy decisions.

This is a cross-journal collection, bringing together expertise from Nature Communications and Communications Health. Together, these journals showcase innovative modelling approaches that help inform public health and policy strategies across diverse settings

Why this topic matters

• Evidence-based policy relies on robust modelling frameworks that can assess risks, evaluate interventions, and guide resource allocation.
• Modelling helps policymakers prepare for emerging infections, evaluate vaccination strategies, and understand the impact of prevention measures.
• Transparent and reproducible models are increasingly important in building trust in public health recommendations.

What this Collection covers 

This cross-journal collection supports SDG 3: Good Health and WellBeing by strengthening the evidence base for infectious disease prevention and control through policy-relevant modelling. Closely aligned with SDG 3.3, the collection features studies that model transmission dynamics, estimate disease burden, and evaluate the impact of interventions such as vaccination, screening, and nonpharmaceutical measures, helping to inform strategies to reduce infectious disease spread. It also contributes to SDG 3.d by highlighting modelling frameworks that support early warning, preparedness planning, and resource allocation, including approaches that integrate epidemiological, behavioural, mobility, and environmental data. By improving transparency, interpretability, and policy relevance, the collection demonstrates how modelling can guide timely, effective, and equitable public health decisionmaking.

Explore More

This interdisciplinary collection brings together epidemiologists, modellers, data scientists, and policy experts who are working to transform infectious disease modelling into actionable public health insights. Please click here to explore the full collection in detail.