TY - JOUR
T1 - Pattern transitions in spatial epidemics
T2 - Mechanisms and emergent properties
AU - Sun, Gui Quan
AU - Jusup, Marko
AU - Jin, Zhen
AU - Wang, Yi
AU - Wang, Zhen
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Infectious diseases are a threat to human health and a hindrance to societal development. Consequently, the spread of diseases in both time and space has been widely studied, revealing the different types of spatial patterns. Transitions between patterns are an emergent property in spatial epidemics that can serve as a potential trend indicator of disease spread. Despite the usefulness of such an indicator, attempts to systematize the topic of pattern transitions have been few and far between. We present a mini-review on pattern transitions in spatial epidemics, describing the types of transitions and their underlying mechanisms. We show that pattern transitions relate to the complexity of spatial epidemics by, for example, being accompanied with phenomena such as coherence resonance and cyclic evolution. The results presented herein provide valuable insights into disease prevention and control, and may even be applicable outside epidemiology, including other branches of medical science, ecology, quantitative finance, and elsewhere.
AB - Infectious diseases are a threat to human health and a hindrance to societal development. Consequently, the spread of diseases in both time and space has been widely studied, revealing the different types of spatial patterns. Transitions between patterns are an emergent property in spatial epidemics that can serve as a potential trend indicator of disease spread. Despite the usefulness of such an indicator, attempts to systematize the topic of pattern transitions have been few and far between. We present a mini-review on pattern transitions in spatial epidemics, describing the types of transitions and their underlying mechanisms. We show that pattern transitions relate to the complexity of spatial epidemics by, for example, being accompanied with phenomena such as coherence resonance and cyclic evolution. The results presented herein provide valuable insights into disease prevention and control, and may even be applicable outside epidemiology, including other branches of medical science, ecology, quantitative finance, and elsewhere.
KW - Cellular automata
KW - Coherence resonance
KW - Cyclic evolution
KW - Reaction–diffusion equation
KW - Seasonality and noise
KW - Spatial heterogeneity
UR - http://www.scopus.com/inward/record.url?scp=84994099913&partnerID=8YFLogxK
U2 - 10.1016/j.plrev.2016.08.002
DO - 10.1016/j.plrev.2016.08.002
M3 - 文献综述
C2 - 27567502
AN - SCOPUS:84994099913
SN - 1571-0645
VL - 19
SP - 43
EP - 73
JO - Physics of Life Reviews
JF - Physics of Life Reviews
ER -