ecoepi – dept. ecological modellinginstitute for epidemiology thomas selhorst & thomas müller...
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EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
Thomas Selhorst & Thomas MüllerFLI Friedrich-Löffler-Institut :: Institute for Epidemiology
Wusterhausen/Germany
Scenario-analysis evaluating emergency strategies after rabies
re-introduction
Hans-Hermann Thulke & Dirk Eisinger Helmholtz Centre for Environmental Research UFZ :: Dept. of Ecological Modelling
Leipzig/Germany
Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
ScopeScope: Rabies-free region + naïve population
X
Large scale countrywide vaccination successful in past
here economically useless
StrategyStrategy: Limited control area
Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
TargetTarget: Eradication + Avoiding breakout from control area
Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
X
Compact circle with 20 baits per km2
Vaccinated area
Unvaccinated area
Rabiesdetection
XX
X
X
X
X
X
X
X
XX
XX
X
StrategyStrategy: Limited control area
Increase control area…
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
Alternative: Alternative: RingRing(Vaccinated area constant + number of baits equal + distance differs)
X
XX
XX
XX
XXX
X
X
X
X
X
COMBAT CONTAIN
CIRCLE RING
XXX
X
X
X
X
X
XX
XX
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X
3Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
CIRCLE
RING
Time [campaigns]
Simulation resultsSimulation results: Circle vs. Ring ?Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
(10.000 repetitions)R
isk
of B
reak
out
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
Strategy
Risk of breakout higherRing designRing design:
Public Health
0%
20%
40%
60%
80%
100%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Time [# baitings]
Era
dic
ati
on
R - tim e lag 5
R - tim e lag 3
R - tim e lag 1
C - tim e lag 1
0
100
200
300
400
500
600
700
800
900
1000
1 2 3 4 5 6 7 8
Time [# baitings]
Ca
se
s o
f ra
bie
s [
#]
C - time lag 1
R - time lag 5
R - time lag 3
R - time lag 1
Economy More cases of rabies(inner part epidemic starts)
Prolongation of measure(inner part vaccinated later)
Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
Eisinger et al. (2005) BMC Inf Dis 5:10Emergency vaccination of rabies under limited resources – combating or containing?
Compact control area Compact control area
around detection around detection
is mandatory!is mandatory!
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
COMBAT COVER
DOUGH
X
XX
XXXX
XXX
X
X
X
X
X XXX
X
X
X
X
X
XX
XX
XX
X
CIRCLE
XXX
X
X
X
X
X
XX
XXXX
X
Focused COMBAT
20 baits per km2 10 baits per km2 40 baits per km2
Alternative: Alternative: Bait density(Immediate combat + Number of baits equal + vaccinated area differs)
Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
0
2
4
6
8
10
12
14
16
18
0 10 20 30 40
Baits per km2
Fa
ilure
rate
[%
]
Simulation resultsSimulation results: Area vs. density
__+
?
Dough thinner … Dough thicker
Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
(10.000 repetitions)
Ris
k o
f B
reak
ou
t [%
]
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
0
2
4
6
8
10
12
0 5 10 15 20
Failurerate
Tim
e t
ill 8
0%
su
cc
es
sra
te
[ca
mp
aig
ns
]
5
40
1020
30
7
Dough design by: Dough design by: Strategy slightly thinner advantageous
Public HealthEconomy
The thicker the quicker is eradication
The thicker the fewer rabies cases
0
500
1000
1500
2000
2500
3000
0 5 10 15 20
Failurerate
Ca
se
s o
f ra
bie
s
5
40
1020 30
7
Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
ConclusionConclusion
Model-based pre-testing helpful
• Development and evaluation of alternatives
Ring not applicable
• Immediate combat of the outbreak is mandatory
Lower bait density and larger area beneficial
• Trading-off between success and control costs or rabies occurrence
Need for further research!
• Mixed application according to situation
X
x
?
Conceptual frame – Alternative Ring – Alternative Dough – Conclusion
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
Scenario deduction – Model description – Scenario evaluation – Conclusion & outlook
Model DescriptionModel Description
Evaluation of relative performance of alternative scenarios
Simulation experiment
5
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
Scenario deduction – Model description – Scenario evaluation – Conclusion & outlook
•Fox families in grid cellsSpatial organization
•Reproduction in spring
•Dispersal in autumn
Seasonality
•Individual foxes
(Position & age, sex & disease state)
Population
Model realisation
Simulation model – Rule basedSimulation model – Rule based
suscept. infected infectious empty
i.e. Sayers et al. 1985
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
Scenario deduction – Model description – Scenario evaluation – Conclusion & outlook
Individuals:
Mortality
Reproduction
Bait uptake
Subadults:
Dispersal
Model rules :: BiologyModel rules :: Biology
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
Scenario deduction – Model description – Scenario evaluation – Conclusion & outlook
Neighborhood contacts
Model rules :: Rabies transmissionModel rules :: Rabies transmission
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
Scenario deduction – Model description – Scenario evaluation – Conclusion & outlook
Neighborhood contacts
Mating activity
Model rules :: Rabies transmissionModel rules :: Rabies transmission
Dispersal
EcoEpi – Dept. Ecological Modelling Institute for Epidemiology
Scenario deduction – Model description – Scenario evaluation – Conclusion & outlook
Model rules :: Bait distributionModel rules :: Bait distribution
• 1 - 40 baits/km2 (Spring & Atumn campaigns)
• Spatial assignment to fox families
• Bait competition
• Individual bait uptake