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国际数学建模竞赛优秀论文英文模板
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2015MathematicalContestinModeling(MCM)SummarySheet
EradicatingEbola
Abstract
ThispaperaimattheproblemwhichistoeradicateorinhibitthespreadofEbola,westartfromthreesubproblem,thatis:
thedemandfordrugs,drugsdeliveryrouteandthecarallocation.AndestablishthespreadingmodelofEbola,optimizationmodelofdrugstransportsystemandcarallocationmodelrespectivelybyusingthedifferentialequationmethodandsimulatedannealingalgorithm.Finally,dothemodelextensionandsensitivelyanalysis.
Thefirstissue,figureoutthedemandfordrugsindifferentregions.First,establishEbolaspreadSIRmodel.Andinthetimeoft,usingdifferentialequationtofindtheproportionofinfectedi(t)=1/Qln(s/s0),thengetthedemandfordrugsinthisregionH=kNi(t).
Thesecondissue,howtofindtheshortestroutetodeliverdrugs.UseGuinea,LiberiaandSierraLeonewhoseinfectionisrelativelyseriousastheinvestigationobject.AccordingtotheBinaryclassificationtofindtherulesofiteration,whichisusefultofindoutthenearestcitytoanyothercities,andtheresultisBombali.Soweputitasthecenterofdistribution.Thenusesimulatedannealingalgorithmandputforwardtwokindsofschemesforshortestpathbythedifferentwaysindrugsdelivery.
Schemesone,asynchronousmode:
putthreecountriesasaregionalcountries.UsingtheTSPmethodtosolvetheshortestrouteis54.8486,whichisstartfromBombalitodifferentregions.
Schemestwo,synchronizationmethod:
dividingthewholeareaintotwoareasaroundAandBbyusethelongitudecoordinatesofBombaliasastandard.Respectivelysolvetheshortestrouteis10.1739and29.8075,whichisstartfromBombaliandpassallcitiesinAandB,andsolvethesumofthetworouteis39.9814.
Accordingtothedifferentdrugdeliveryrequirements(suchastheshortestdistanceortransmissionsynchronization),canchoosetheasynchronousorsynchronousway.
Thethirdissue,howtoallocatethenumberofcarsreasonable,andobtainthesuitablespeedofdrugproduction.Accordingtothepredictnumberwhichobtainedinmodelone,getthevehiclesanddrugdistributiontable(theresultsareshownTable4.6andTable4.7).andobtainthespeedVofdrugsproductionis:
Atlast,theminimumspeedofdrugsproductionis56.14agent/daytomeettheneedinthreecountriesbycalculating.
Finally,usetheSIRmodelwhichwasoptimizedbyusingvaccinationcyclecontrol.Bydoingthiswecanknowthenumberofsusceptibleandinfectionsincrowdundertheconditionofthepulsevaccinationsignificantlylowerfasterthanwithoutpulsevaccination.Thus,usingpulsevaccinationcaneffectivelycontrolthespreadofEbola.
Keywords:
SIRmodel;SimulatedAnnealingAlgorithm;Pulsevaccination;Ebola
EradicatingEbola
Content
1RestatementoftheProblem
1.1Introduction
Ebolavirusisaveryrarekindofvirus.ItcancausehumansandprimatesproduceEbolahemorrhagicfevervirus,andhasahighmortalityrate.ThelargestandmostcomplexEbolaoutbreakappearedintheWestAfricancountryin2014.Thisoutbreakoccurredinguineafirst,thenthroughvariouswaystocountriessuchasSierraLeone,Liberia,NigeriaandSenegal.Thenumberofcasesanddeaths,whichoccurredinthisoutbreak,ismorethanthesumofalltheotherepidemic.Andoutbreakcontinuedtospreadbetweencountries.OnAugust8,2014,thegeneral-directoroftheworldhealthorganizationannouncedtheoutbreakofpublichealthemergencyofinternationalconcern.
Inthispaper,arealisticandreasonablemathematicmodel,whichconsidersseveralaspectssuchasvaccinemanufacturinganddrugdelivery,hasbeenbuilt.ThenoptimizingthemodeltoeliminateorsuppresstheharmdonebytheEbolavirus.
1.2TheProblem
Establishingamodeltosolvethespreadofthedisease,amountofdrugsneeded,possiblefeasibletransportationsystem,transportingposition,thespeedofavaccineordrugmanufacturingandanyotherkeyfactor.Thus,wedecomposetheproblemintothreesub-problem,modelingandfindingtheoptimizationmethodtofacetheEbolavirus.
♦Buildingamodel,whichcansolvethespreadofthediseaseandthedemandfordrugs.
♦Buildingamodeltofindthebestsolution.
♦Usingthegoalprogrammingtosolvetheproblemsofproductionanddistributionandoptimizationofotherfactors.
.
2GeneralAssumptions
Tosimplifytheproblem,wemakethefollowingbasicassumptions,eachofwhichisproperlyjustified.
♦Ourassumptionsisreasonableandeffective.
♦Vehiclesonlyruninthepathwhichwehavesimulated
♦Thisassumptiongreatlysimplifyourmodelandallowustofocusontheshortestpath.
♦Weconsiderthemodelthatareenclosed.
♦Peoplewhorecovered,willnotinfectedagain,andexitthetransmissionsystem
3VariablesandAbbreviations
ThevariablesandabbreviationsusedinthispaperarelistedinTable3.1.
Table3.1Assumingvariable
Symbol
Definition
S
thenumberofsusceptiblepeople
I
thenumberofinfectedpersons
R
thenumberofrecovered
T
avaccineordrugproductioncycle
H
theamountofdrugsneededbyRegion
A
acycleofavaccineordrugproduction
L
drugreserveareatotheshortestpathtoallaffectedareas
V
speedofvaccineorpharmaceuticalproduction
V’
vehiclespeed
λ
rateofpatientcontactperday
μ
daycurerateperday
αn
rightsofthoseinfectedregionsweight
4ModelingandSolving
4.1ModelI
4.1.1AnalysisoftheProblem
Accordingtotheliteraturethatdifferenttypesofvirushasitsowndifferentpropagationprocesscharacteristics,wedonotanalyzethespreadofvirusesfromamedicalpointofview,butfromthegeneraltoanalyzethepropagationmechanism.SowehavetoanalyzethespreadoftheEbolavirusandtherequirementsofdrugsthroughtheSIR[1]model.
4.1.2ModelDesign
Inthedynamicsofinfectiousdiseases,themainfollowKermackandMcKendrickSIRepidemicmodelwhichthedynamicsoftheestablishedmethodin1927.SIRmodeluntilnowisstillwidelyusedandcontinuetodevelop.SIRmodelofthetotalpopulationisdividedintothefollowingthreecategories:
susceptibles,theratioofthenumberdenotedbys(t),attimetisnotlikelytobeinfected,butthenumberofinfectiousdiseasessuchproportionofthetotal;infectives,theratioofthenumberdenotedbyi(t),attimetbecomeapatienthasbeeninfectedandhastheproportionofthetotalnumberofcontagious;recovered,theratioofthenumberdenotedbyr(t),expressedthenumberofthoseinfectedattimetremovedfromthetotalproportion(ie,ithasquitinfectedsystems).AssumingatotalpopulationofN(t),thenthereareN(t)=s(t)+i(t)+r(t).
SIRmodelisestablishedbasedonthefollowingtwoassumptions:
♦Intheinvestigatedregion-widespreadofthediseaseisnotconsideredduringthebirths,deaths,populationmobilityandotherdynamicfactors.TotalpopulationN(t)remainunchanged,thepopulationremainsaconstantN.
♦Thepatients’contactrate(theaveragenumberofeffectivecontactsperpatientperday)isconstantλ,thecurerate(patientsbecuredproportionofthetotalnumberofpatientsaday)isaconstantμ,clearlytheaverageinfectiousperiodof1/μ,infectiousperiodcontactnumberforQ=λ/μ.
Inthemodelbasedontheassumptionthatwedevelopasusceptiblepersontorecoverfromthesickpersonintheprocess,suchasFigure4.1:
Figure4.1SIRthemodelflowchart
SIRbasisdifferentialequationmodelcanbeexpressedas:
Butitcanseethats(t),i(t)ismoredifficulttosolve,soweusethenumericalcalculationstoestimategeneralvariation.Assumingλ=1,μ=0.3,i(0)=0.02,s(0)=0.98(attheinitialtime),thenweborrowMATLABsoftwareprogrammingtogetresults.AndaccordingtoTable4.1analyzedi(t),s(t)ofthegeneralvariation.
Table4.1Assumingvariable
t
i(t)
s(t)
t
i(t)
s(t)
0
0.02
0.98
9
0.2863
0.1493
1
0.039
0.9525
10
0.2418
0.1145
2
0.0732
0.9019
15
0.0787
0.0543
3
0.1285
0.8169
20
0.0223
0.0434
4
0.2033
0.6927
25
0.0061
0.0408
5
0.2795
0.5438
30
0.0017
0.0401
6
0.3312
0.3995
35
0.0005
0.0399
7
0.3444
0.2839
40
0.0001
0.0399
8
0.3247
0.2027
45
0
0.0398
Figure4.2s(t),i(t)Thepatientscalemap
Figure4.3i~sPhasetrackdiagram
FromTable4.1andFigure4.2,wecanseethati(t)increasedfromtheinitialvaluetoaboutt=7(maximum),andthenbegantodecrease.
Basedonthecalculatingthenumericalandgraphicalobservation,useofphasetrajectoriesdiscussedi(t),s(t)innature.Herei~splaneisphaseplane,thedomain(s,i)∈Dinphaseplanefor:
AccordingtoequationandcontactnumberoftheinfectiousperiodQ=λ/μ,wecaneliminatedt,get:
Calculatedusingintegralcharacteristics:
Curveinthedomainofdefinition,equationisaphasetrajectory.
Accordingtoequationandequation,havetoanalyzethechanges.Ifandonlyifthepatienti(t)forsomeperiodofgrowth,itthinkthatinthespreadofinfectiousdiseases,then1/Qisathreshold.Ifs0>1/Q,infectiousdiseaseswillspread,andreduceinfectiousperiodthenumberofcontactswithQ,namelyraisingthethreshold1/Qandwillmakes0≤1/Q,thenitwillnotspreaddiseases.
AndwenotethatQ=λ/μintheformula,thehigherthelevelofpeople'shealth,thesmallerpatients’contactrate;thehigherthelevelofmedical,thecurerateislargerandthesmallerQ.Therefore,toimprovethelevelofhygieneandmedicalhelptocontrolthespreadofinfectiousdiseases.Ofcourse,