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Biological Attack Model (BAM) Progress Report March 8

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Title: Biological Attack Model (BAM) Progress Report March 8


1
Biological Attack Model(BAM)Progress
ReportMarch 8
  • Sponsor Dr. Yifan Liu
  • Richard Bornhorst
  • Robert Grillo
  • Deepak Janardhanan
  • Shubh Krishna
  • Kathryn Poole

2
Agenda
  • Project Plan
  • Work Breakdown
  • Biological Agent Parameters
  • Assumptions Revisited
  • Preliminary Model Overview
  • Current Modeling Issues

3
Project Plan
4
Work Breakdown
  • 320 of 875 man-hours completed.
  • Ahead of schedule on modeling
  • End modeling phase by next brief to give an extra
    week to testing, evaluation, analysis, and
    recommendations (4 weeks)
  • Develop early skeleton for final report

5
Biological Agent Parameters
  • Smallpox (ß 3) (d 30)
  • Incubation Period 7-17 days
  • Prodrome Period 2-4 days
  • Symptomatic Period 20 days
  • Ebola (ß 1-2) (d 40-90)
  • Incubation Period 2-20 days
  • Prodrome Period 2-4 days
  • Symptomatic Period 6-9 days
  • Viral Encephalitis (ß 3-4) (d 3-60)
  • Incubation Period 5-15 days
  • Prodrome Period 2-4 days
  • Symptomatic Period 7-14 days

6
Assumptions Revisited
  • Attack Assumptions
  • Single source where a certain number of people
    are initially exposed
  • Diseases will be transmitted person to person
    rather than airborne or food borne
  • Detected 24 hours after incident (may adjust for
    future analysis)
  • Population Assumptions
  • Constant population with no immigration/emigration
    , births, or deaths that arent related to the
    disease
  • People in the incubation stage (non-contagious)
    are considered susceptible in terms of quarantine
    and treatment since they are not yet known to be
    infected

7
Assumptions Revisited
  • Quarantine Assumptions
  • Various percentages of the population are
    quarantined to analyze effectiveness
  • Isolation of confirmed and suspected cases with
    vaccination and quarantine of contacts traced to
    these cases
  • All other quarantine is voluntary confinement
  • A percentage of the population cannot be
    quarantined
  • Vaccination and Treatment Assumptions
  • A percentage of population is already vaccinated
    (when applicable)
  • Emergency response and medical staff already
    vaccinated (if available)
  • Treatments are available for recovering those
    that receive it
  • Vaccination and treatment have no significant
    side effects
  • Those in quarantine without symptoms receive
    available vaccination
  • Those showing symptoms do not receive vaccination
    (treatment only)

8
Two Phases
  • First Phase
  • The spread of the pathogen before detection
  • Initial assumption is detection occurs after 24
    hours, but this will be adjusted to analyze the
    importance of early detection
  • Only three states during this phase Susceptible,
    Infected, Infectious
  • Second Phase
  • Occurs after outbreak has been identified
  • The status of states at end of first phase
    provide initial conditions for second phase
  • Containment strategies employed

9
Preliminary Model Diagram
Track 10 different populations
SQi1Qi2QsI1I2RNRTRDD N
Recovered With Treatment RT
Quarantined Infected Qi1
Susceptible S
Infected I1
Quarantined Infectious Qi2
Dead D
Quarantined Susceptible QS
Infectious I2
Disabled RD
Recovered Without Treatment RN
10
Preliminary Model Parameters
  • Transmission Rate (b)
  • Average Incubation Length (m1)
  • Average Infectious Length (m2)
  • Disease Mortality Rate (d)
  • Quarantine Rate (q)
  • Tracing Close Contacts of Infectious (a)
  • Number of Treated Per Day (f)
  • Treatment Efficacy Period (b)
  • Disability Ratio (g)
  • Total Population (N)

11
Preliminary Model Parameters (Excel snapshot)
12
Example Plot10,000 treated per day, 30
Quarantine Rate
13
Example Plot10,000 treated per day, No
Quarantine
14
Example Plot20,000 treated per day, 30
Quarantine Rate
15
Current Modeling Issues
  • Modeling a Coherent Detection Scheme
  • Disease incubation periods vs. appearance of
    symptoms
  • Arriving at a Balance between Number of States
    Reality
  • Risk of Inaccuracy vs. simplification
  • Recovery without treatment, Side effects.
  • Integrity checks to be built in
  • Containment as a combination of Reducing Contacts
    and Treatment Resource Allocation
  • Effective Treatment allocation issue
  • Availability of Emergency Responders
  • Effect of varying ß due to Intervention efforts
  • Diverse Containment strategies emerging for
    different diseases
  • More data available on Smallpox than the others
  • Translating results into Information for a
    Decision Maker
  • Use of percentages of population vs. absolute
    numbers

16
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