Phase transitions in cellular automata models of spatial susceptible-infected-resistant-susceptible epidemics

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摘要 Spatiallyexplicitmodelshavebecomewidelyusedintoday'smathematicalecologyandepidemiologytostudythepersistenceofpopulations.Forsimplicity,populationdynamicsisoftenanalysedbyusingordinarydifferentialequations(ODEs)orpartialdifferentialequations(PDEs)intheone-dimensional(1D)space.Animportantquestionistopredictspeciesextinctionorpersistenceratebymeanofcomputersimulationbasedonthespatialmodel.Recently,ithasbeenreportedthatstableturbulentandregularwavesarepersistentbasedonthespatialsusceptible-infected-resistant-susceptible(SIRS)modelbyusingthecellularautomata(CA)methodinthetwo-dimensional(2D)space[Proc.Natl.Acad.Sci.USA101,18246(2004)].Inthispaper,weaddressotherimportantissuesrelevanttophasetransitionsofepidemicpersistence.Weareinterestedinassessingthesignificanceoftheriskofextinctionin1Dspace.Ourresultsshowthatthe2Dspacecanconsiderablyincreasethepossibilityofpersistenceofspreadofepidemicswhenthedegreedistributionoftheindividualsisuniform,i.e.thepatternof2Dspatialpersistencecorrespondingtoextinctionina1Dsystemwiththesameparameters.Thetrade-offsofextinctionandpersistencebetweentheinfectionperiodandinfectionrateareobservedinthe1Dcase.Moreover,nearthetrade-off(phasetransition)line,anindependentestimationofthedynamicexponentcanbeperformed,anditisinexcellentagreementwiththeresultobtainedbyusingtheconjecturedrelationshipofdirectedpercolation.Wefindthattheintroductionofashort-rangediffusionandalong-rangediffusionamongtheneighbourhoodscanenhancethepersistenceandglobaldiseasespreadinthespace.
机构地区 不详
出处 《中国物理B:英文版》 2009年2期
出版日期 2009年02月12日(中国期刊网平台首次上网日期,不代表论文的发表时间)