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Pattern transitions in spatial epidemics: Mechanisms and emergent properties.
Gui-Quan Sun1, Marko Jusup2, Zhen Jin3
1Complex Systems Research Center, Shanxi University, Taiyuan, Shanxi 030006, PR China; School of Mathematical Sciences, Fudan University, Shanghai 200433, PR China.
Physics of Life Reviews
|August 29, 2016
Summary
Understanding pattern transitions in spatial epidemics is key for disease control. These transitions indicate disease spread trends and offer insights applicable beyond epidemiology.
Area of Science:
- Epidemiology
- Mathematical Biology
- Complex Systems
Background:
- Infectious diseases pose significant threats to global health and societal progress.
- The study of disease spread in space and time has identified various spatial patterns.
- Transitions between these spatial patterns are emergent properties of epidemics.
Purpose of the Study:
- To systematically review pattern transitions in spatial epidemics.
- To describe the types and underlying mechanisms of these pattern transitions.
- To highlight the significance of pattern transitions as potential trend indicators.
Main Methods:
- Mini-review of existing literature on spatial epidemics.
- Analysis of pattern transitions and their relationship to epidemic complexity.
- Exploration of associated phenomena like coherence resonance and cyclic evolution.
Main Results:
- Pattern transitions are identified as crucial emergent properties in spatial epidemics.
- These transitions are linked to increased epidemic complexity, evidenced by phenomena such as coherence resonance and cyclic evolution.
- The study systematizes the understanding of pattern transitions, a topic previously underexplored.
Conclusions:
- Pattern transitions in spatial epidemics serve as valuable indicators of disease spread dynamics.
- Insights from studying these transitions can enhance disease prevention and control strategies.
- The principles governing pattern transitions may extend to other scientific fields, including medical science, ecology, and quantitative finance.
Keywords:
Cellular automataCoherence resonanceCyclic evolutionReaction–diffusion equationSeasonality and noiseSpatial heterogeneityMore Related Videos
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