Eight challenges in modelling disease ecology in multi-host, multi-agent systems.

Area of Science:

• Ecology
• Epidemiology
• Mathematical Biology

Background:

• Current disease models often simplify complex systems, focusing on single hosts and agents.
• This simplification limits understanding of real-world infectious disease dynamics across diverse ecosystems.

Purpose of the Study:

• To identify critical challenges in studying multi-host, multi-agent infectious disease systems.
• To propose a framework for advancing theoretical and empirical research in this area.

Main Methods:

• Literature review and synthesis of existing research gaps.
• Identification and articulation of eight key research challenges.

Main Results:

• Eight distinct challenges were outlined for multi-host, multi-agent disease systems.
• These challenges span theoretical, empirical, and data-driven aspects of disease ecology.

Conclusions:

• Novel methodologies are essential for understanding complex infectious diseases.
• Addressing these challenges will significantly enhance knowledge of disease drivers and ecosystem effects.