Modeling Interventions and Logistics

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    S C H O O L O F P U B L I C H E A LT H

    LI KA SHING FACULTY OF MEDICINE

    THE UNIVERSITY OF HONG KONG

    Modelinginterventionsandlogistics

    JosephTWu

    September8,2010

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    Twocasestudies

    Firstcase:

    Secondcase:

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    Case1:Asmallpoxmodelingstudy

    Thegoalofthistutorialistobuildthemodelonestepatatime.

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    Naturalcourseofinfectionandtransmissibility

    Transmissionroutesofsmallpox: Primaryrouteoftransmissionisthroughdirectface-to-facecontactwith

    aninfectedindividual

    Historicallymostcaseswereinchildren-longdurationofimmunityfollowingexposure(estimatesupto20yearsormore)althoughopinions

    divided

    Naturalhistoryofsmallpox:Incubation period

    Fever (2-3 days)

    Recovery

    Death (20-30%)

    Scab lesionsPustules (7 days)

    Rash (7 days)

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    SEIRmodel

    =forceofinfection=I(t) =rateatwhichinfectiouscontactsoccur =probabilitythattheinfectiouscontactsresultininfection =rateoflatent(E)becominginfectious=1/(meanlatent

    period)

    =rateofinfectious(I)becomingrecoveredordead(U)=1/(meaninfectiousperiod)

    S E I U

    SusceptibleExposedInfectiousRemoved

    State:theboxesRate:thearrows

    RateofoutBlowfromastate=1/Averagedurationspentinthatstate

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    Flowdiagramvsequations

    Themodelcanbespeciiedusinglowdiagramsorequations.

    EachequationrepresentsastateintheBlowdiagram EachtermontherighthandsideofanequationrepresentsanarrowintheBlowdiagram

    Eachtermis(rate)(numberofindividualsinthestate)

    S E I U

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    Parameterizethemodel

    ParametervaluesinGanietal: Meanlatentperiod=14.5days(12to14daysofincubationplus2

    to3daysoffever),so=1/14.5=0.07days-1.

    Meaninfectiousperiod=8.5days(rashismostinfectiousforjustoveraweek),so=1/8.5=0.12days-1.

    andobtainedfromtheirrelationshipwiththereproductivenumberR0:

    AssumeR0=5.

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    (1)

    Modelingquarantine

    Quarantineindividualsastheybecomeinfectious How?MovesomeproportionofexposedindividualsintoanewstateQ

    astheybecomeinfectious

    =proportionofnewlyinfectiousindividualswhoarequarantined Q(t)=thenumberofinfectiousindividualsquarantined(attimet) 2=rateofquarantinerelease=1/(meanquarantineperiod) Quarantinedindividualsrecoveratratewhichdependsbothonrecoveryfromdiseaseanddurationofquarantine Hereweassume25daysinquarantine(i.e.aroundthreetimesthe

    meaninfectiousperiodof1/=8.5days),so2=0.04days-1

    S E I U

    S E I U

    Q2

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    Modelingquarantine

    (1)S E I U

    S E I U

    Q2

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    Eficacyofquarantine

    Usingthemodeltoassesshowincreasingquarantineratesreducesthenumberofdeaths

    Modelcouldbeusedtolookatresourceconstraints,cost-effectiveness(numberquarantinedpercaseaverted)etc.

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    CostandbeneitofquarantinePerson-dayquarantined:IfXtpeoplearequarantinedondayt,then

    theperson-dayquarantinedondaytisXt

    .Thetotalperson-day

    quarantinedfromday1anddaynisthenX1+X2+Xn-1+Xn.

    Day365

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    =proportionofcontactsthataretraced 1=rateofreleasefromquarantineforuninfectedcontacts=1/(mean

    durationofquarantineforcontacts)

    En=numberofcontactswhoareuntracedbutlatent Ei=numberofcontactswhoaretracedandlatent Ci=numberofcontactswhotracedbutuninfected

    (1)

    (1)I

    Quarantinecontactsofinfectiouspersons

    (1)

    S E I U

    S En I U

    Q2

    Ci

    1

    Ei

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    (1)

    (1)I

    Quarantinecontactsofinfectiouspersons

    (1)

    S E I U

    S En I U

    Q2

    Ci

    1

    Ei

    dS

    dt=

    1C

    i

    release of those tracedbut uninfected

    (1 )IS

    infected but not traced

    IS

    infected and traced

    (1)IS

    uninfected but traced

    , dI

    dt= (1)E

    n

    1 of those becominginfectious are not quarantined

    I

    dEn

    dt= (1 )IS

    infected but not traced

    (1)E

    n

    1 of those becominginfectious are not quarantined

    En

    of those becominginfectious are quarantined

    ,dU

    dt= I+

    2Q

    quarantine release

    ,

    dEidt

    = IS

    infected and traced

    Ei

    traced contacts becominginfectious and quarantined

    , dQdt

    = Eitraced contacts becominginfectious and quarantined

    + En of those becominginfectious are quarantined

    2Q

    quarantine release

    .

    dCi

    dt= (1)IS

    uninfected but traced

    1C

    i

    release of those tracedbut uninfected

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    Impactofcontacttracingandquarantine

    =0.4(=0.95inthearticle)

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    1(11) (12)

    (1)

    (1)I

    Vaccinatecontactsofinfectiouspersons

    (1)

    S E I U

    S En I U

    Q2

    Ci Ei 12

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    1=vaccineeficacyinuninfected(probabilityofcompleteprotection)

    2=vaccineeficacyininfected(probabilityofcompleteprotection)

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    1(11)

    dS

    dt=

    1(1

    1)C

    i

    release of those uninfectedbut traced withunsuccessful vacccination

    (1 )IS

    infected but not traced

    IS

    infected and traced

    (1)IS

    uninfected but traced

    ,

    dEn

    dt= (1 )IS

    infected but not traced

    (1)En

    1 of those becominginfectious are not quarantined

    En

    of those becominginfectious are quarantined

    ,

    dEi

    dt= IS

    infected and traced

    (1

    2)E

    i

    infected and traced withunsuccessful vaccination

    becoming infectious andquarantined

    1

    2E

    i

    release of those infectedand traced withsuccessful vaccination

    ,

    dI

    dt= (1)En

    1 of those becominginfectious are not quarantined

    I,

    dU

    dt = I+ 2Qquarantine release

    ,

    dQ

    dt = (1 2 )Ei

    infected and traced withunsuccessful vaccination

    becoming infectious andquarantined

    + En

    of those becominginfectious are quarantined

    2Qquarantine release

    ,

    dCi

    dt= (1)IS

    uninfected but traced

    1(1

    1)C

    i

    release of those uninfectedbut traced withunsuccessful vacccination

    1

    1C

    i

    release of thoseuninfected but traced withsuccessful vaccination

    ,dV

    dt=

    1

    2E

    i

    release of those infectedand traced withsuccessful vaccination

    + 1

    1C

    i

    release of thoseuninfected but traced withsuccessful vaccination

    (12)

    (1)

    (1)I

    Vaccinatecontactsofinfectiouspersons

    (1)

    S E I U

    S En I U

    Q2

    Ci Ei 12

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    Case2:Modelinglogisticsofepidemicresponse

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    Passiveimmunotherapyforpandemiclu

    Treatingseverecaseswithserumantibodiesextractedfromrecoveredindividuals:(i)Directplasmatransfusionor(ii)hyperimmuneIVIG

    Treatmentstrategiesforseverecasesofpandemicinluenzahavefocusedonantiviralsandanti-inlammatoryagents.Incontrast,passiveimmunotherapyhasreceivedlimitedattention.

    Arecentmeta-analysisstudysuggestedthatduringthe1918inluenzapandemic,transfusionofconvalescentbloodproductsreducedthemortalityrateofseverecasesbymorethan50%.

    TheproofofprincipleforthistherapeuticapproachwasrecentlydemonstratedwhenapatientinShenzhencriticallyillwithavianinluenzaA/H5N1virusinfectionin2006wasadministeredconvalescentplasmafromawomanwhohadsurvivedinfection.Thepatient,whoseconditionwasworsening

    despitetreatmentwithoseltamivir,recoveredafterreceivingseveralinfusionsofconvalescentplasma(CP).

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    Motivations

    Intheory,thepolyclonalnatureofneutralizingantibodiesinCPwouldlowertheprobabilityofanescapemutantemergingintreatedpatients.

    Besidesprovidingneutralizingantibodiesagainstthepandemicvirus,CPalsomightcarryantibodiestootherbacterialpathogens,

    whichmightdecreasetheseverityofcoexistingbacterialinfections.

    CPmightnotonlyreducethecasefatalityratebutalsoincreasetherecoveryrateandthereforeshortenthehospitalizationdurationofseverecases.

    Theproposedpassiveimmunotherapyprogramcanthussigniicantlyreducetheburdenonthehealthcaresystem,especially

    theintensivecareunit,whichwilllikelybestressed,ifnot

    overloaded,atthepeakofaninluenzapandemicwave,hence

    beneitingthegeneralpublicandnotonlythosereceivingpassive

    immunotherapy.

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    Studyobjectives

    Outcome Treatmentcoverage,deinedasthepercentageofseverecasesthat

    canbeofferedpassiveimmunotherapybytheproposedprogram

    (i.e.%demandmet)

    Researchquestions: Whatistheminimaldonorpercentageneededtomaximizethe

    plasmaproductioncapacityoftheprogram?

    WhatisthelikelytreatmentcoveragewiththecurrentproductioncapacityinHongKong?

    Howsensitiveistheoutcometo(i)theparametersofsupplyanddemand,and(ii)thenaturalhistoryandtransmissiondynamicsof

    thedisease?

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    TheproposedprogramCollectconvalescentplasmafrom20-55yoadultsfortreatingseverecases

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    Themathematicalmodel

    Deterministicage-structuredSIRmodelfordiseasetransmission DeterministicqueueingmodelforCPharvesting Thepopulationisstratiiedintoagegroupsof5years(0-4,5-9,10-14,

    15-19,20-24,25-29,30-34,35-39,40-44,etc).

    TheWAIFWmatrixisconstructedusingsocialcontactdata.

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    CPproductionconstraints

    Screening

    FiveBSL3-trainedtechniciansto

    runtheserologicaltests,each

    running150testsevery3days.

    i.e.5x150serverswithmean

    servicetimeof3days

    Plasmapheresis

    9machines.12-hrdailyoperation.

    Eachplasmadonationtakesabout40min.

    i.e.9serverswithmeanservicetimeof1/16day.

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    Patternsofdemandandsupply

    Basic reproductive numberR0 = 1.4Mean latent duration = 1.2 days

    Mean symptomatic/asymptomatic duration = 4.1 days

    Proportion of infections symptomatic = 2/3

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    Donorpercentageneeded

    rTpHis the lumped demand parameter:

    rTis the number donors needed for treating one patient on average (range: 2 to 10)pHis the proportion of symptomatic cases that become severe cases (range: 0.1% to 1%)

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    DonorpercentageneededTreatment coverage increases rapidly as donor percentage increases fro 0%.

    The average blood donation percentage is around 5%.15% to 20% donor percentage is sufficient to treat over 80% of cases

    for a moderately severe pandemicIncreasing donor percentage beyond this level has small marginal benefit

    Treatment coverage

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    Conclusions

    WithplasmapheresiscapacitysimilartothatinHongKong,theproposedpassiveimmunotherapyprogramcansupplyCPtransfusiontotreatmorethan82%ofseverecasesinamoderatepandemic(R0

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    THEEND

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