Divide and conquer? Persistence of infectious agents in spatial metapopulations of hosts

Area of Science:

• Epidemiology
• Mathematical Biology
• Ecology

Background:

• Infectious agent persistence in host populations is a key epidemiological concern.
• Spatial fragmentation is often assumed to increase agent persistence, with host movement being crucial.
• Mean-field models often overlook the impact of actual movement distances on dynamics.

Purpose of the Study:

• To investigate the influence of explicit movement distance on infectious agent persistence within fragmented host metapopulations.
• To challenge the assumption that spatial fragmentation universally enhances agent persistence.

Main Methods:

• Development and analysis of a stochastic model coupling within- and between-patch dynamics.
• Explicit modeling of host movement distances and their effect on disease spread.
• Simulation of metapopulation dynamics under varying spatial structures and movement parameters.

Main Results:

• The relationship between metapopulation structure and infectious agent persistence is more complex than previously modeled.
• Optimal infectious agent persistence occurs at intermediate host movement distances.
• Spatially fragmenting host populations is not consistently beneficial for infectious agent persistence.

Conclusions:

• Explicitly modeling host movement distance alters the understanding of infectious agent persistence in metapopulations.
• Intermediate movement distances can be critical for maintaining infectious agents.
• Conservation strategies and epidemiological control should consider movement dynamics beyond simple fragmentation.