Spatial agent-based simulation modeling in public health: design, implementation, and applications for malaria epidemiology

323 Pages·2016·8.03 MB·English

by  Arifin

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SPATIAL AGENT-BASED
SIMULATION MODELING
IN PUBLIC HEALTH
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SPATIAL AGENT-BASED
SIMULATION MODELING
IN PUBLIC HEALTH
Design, Implementation, and Applications
for Malaria Epidemiology
S.M.NIAZARIFIN
DepartmentofComputerScienceandEngineering
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UniversityofNotreDame
IN,USA
GREGORYR.MADEY
DepartmentofComputerScienceandEngineering
UniversityofNotreDame
IN,USA
FRANKH.COLLINS
DepartmentofBiologicalSciences
UniversityofNotreDame
IN,USA
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LibraryofCongressCataloging-in-PublicationData:
Arifin S.M.Niaz,author.
Spatialagent-basedsimulationmodelinginpublichealth:design,implementation,andapplicationsfor
malariaepidemiology/S.M.NiazArifin GregoryR.Madey,FrankH.Collins.
p.;cm.
Includesbibliographicalreferencesandindex.
ISBN978-1-118-96435-4(hardback)
I.Madey,GregoryRichard,author.II.Collins,FrankH.,author.III.Title.
[DNLM:1.Malaria–epidemiology.2.ComputerSimulation.3.GeographicInformationSystems.4.Models,
Theoretical.5.SpatialAnalysis.WC755.1]
RA644.M2
614.5′32090285–dc23
2015033121
PrintedintheUnitedStatesofAmerica
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Tomyparents:
EngineerS.M.GolamMostofa
B.Sc.Engg.(Civil),FIE(B),PGD(CS)
MyFatherandGuide
ProfessorParvinAkhterJahan
M.A.(Economics),B.A.(Honors)
MyMotherandBestFriend
andmywife:
RumanaReazArifin
B.S.,M.S.
MySoulmate
andmysister:
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Ph.D.,M.S.,B.S.
WeGrewupTogether
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— S.M.NiazArifin
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CONTENTS
ListofContributors xv
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ListofFigures xvii
ListofTables xxi
Preface xxiii
Acknowledgments xxix
ListofAbbreviations xxxi
1 Introduction 1
1.1 Overview, 1
1.2 Malaria, 3
1.3 Agent-BasedModelingofMalaria, 4
1.4 Contributions, 4
1.5 Organization, 5
2 Malaria:ABriefHistory 7
2.1 Overview, 7
2.2 MalariainHumanHistory, 7
2.2.1 TheMalarialPath:AncientOrigins, 8
2.2.2 NamingandKeyDiscoveries, 9
2.2.3 AntimalarialDrugs, 9
2.2.4 PreventionMeasures, 10
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viii Contents
2.3 MalariaEpidemiology:AGlobalView, 10
2.3.1 TheMalariaParasite, 11
2.3.2 GeographicDistribution, 12
2.3.3 TypesofTransmission, 12
2.3.4 RiskMappingandForecasting, 13
2.4 MalariaControl, 13
3 Agent-BasedModelingandMalaria 17
3.1 Overview, 17
3.2 Agent-BasedModels(ABMs), 17
3.2.1 Agents, 18
3.2.2 Environment, 19
3.2.3 Rules, 20
3.2.4 SoftwareforABMs, 20
3.3 HistoryandApplications, 21
3.3.1 M&SOrganizations, 21
3.4 AdvantagesofABMs, 23
3.4.1 Emergence,Aggregation,andComplexity, 23
3.4.2 Heterogeneity, 24
3.4.3 LearningandAdaptation, 24
(cid:2) 3.4.4 FlexibilityinSystemDescription, 24 (cid:2)
3.4.5 InclusionofMultipleSpaces, 25
3.4.6 LimitationsofABMs, 25
3.4.7 ABMsvsMathematicalModels, 27
3.4.8 ApplicabilityofABMsforMalariaModeling, 28
3.5 MalariaModels:AReview, 29
3.5.1 MathematicalModelsofMalaria, 30
3.5.2 Agent-BasedModels(ABMs)ofMalaria, 33
3.5.3 TheSpatialDimensionofMalariaModels, 35
3.6 Summary, 36
4 TheBiologicalCoreModel 39
4.1 Overview, 39
4.1.1 RelevantTermsofInterest, 40
4.2 TheAquaticPhase, 41
4.2.1 Egg(E), 42
4.2.2 Larva(L), 43
4.2.3 Pupa(P), 45
4.3 TheAdultPhase, 46
4.3.1 ImmatureAdult(IA), 46
4.3.2 MateSeeking(MS), 47
4.3.3 BloodMealSeeking(BMS), 47
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