opisthorchis viverrini transmission models *-5mm
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Opisthorchis viverrini Transmission Models
Christine Burli1,2, Helmut Harbrecht2, Peter Odermatt1,2, Somphou Sayasone1,2,3,Nakul Chitnis1,2
1Swiss Tropical and Public Health Institute, Basel, Switzerland2Universitat Basel, Basel, Switzerland3National Institute of Public Health, Vientiane, Lao People’s Democratic Republic
Swiss TPH Winter Symposium 2017Helminth Infection – from Transmission to ControlBasel, Switzerland, 8 December 2017
Department of Epidemiology and Public Health
Infectious Disease Modelling Unit
Opisthorchis viverrini
DogsCats
Humans
Eggs
SnailsCercariaeFish
2017-12-08 2
O. viverrini in South East Asia
Forrer et al. (2012)
2017-12-08 3
Modelling Framework
Basic Model
if
wh
is
Reservoir Host Model
if
wh
wc
wd
is
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Reproductive Numbers
The basic reproduction number R0 is the average number of new cases of an infection(or number of parasite offspring) caused by one typical infected individual (or oneparasite), from one generation to the next, in a population with no pre-existinginfections.
Type-reproduction numbers provide a threshold for whether certain host types canmaintain transmission on their own.
Ui is the host-specific type reproduction number.
Qi is the host-excluded type reproduction number.
2017-12-08 5
Data from Southern Champasack Province
Species Tested Positive Prevalence
Humans: 994 603 61%Dogs: 68 17 25%Cats: 64 34 53%Fish: 628 129 21%
Snails: 3102 9 0.29%Vonghachack et al. (Submitted)
2017-12-08 6
Data on Intensity of Infection in Humans
0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000Eggs per gram
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Dens
ity
#10-3
OV eggs per gramNegative Binomial
2017-12-08 7
Numerical Simulations
Basic Model
0 50 100 150 200Time (years)
0
5
10
15
20
25
30
35
Num
ber
of p
aras
its33.289w
h
0 50 100 150 200Time (years)
0
0.05
0.1
0.15
0.2
0.25
0.3
Pre
vale
nce
0.003
0.269is
if
Reservoir Host Model
0 50 100 150 200Time (years)
0
5
10
15
20
25
30
35
Num
ber
of p
aras
its
33.289
1.292
13.875
wh
wd
wc
0 50 100 150 200Time (years)
0
0.05
0.1
0.15
0.2
0.25
0.3
Pre
vale
nce
0.003
0.269is
if
2017-12-08 8
The Basic Reproductive Number R0
Basic Model
0 2 4 6 8 10 12R
0
0
50
100
150
200
Fre
quen
cy
2.2715
R0
R0=1
median
Reservoir Host Model
0 2 4 6 8 10 12R
0
0
50
100
150
200
250
300
Fre
quen
cy
1.7965
R0
R0=1
median
2017-12-08 9
Sensitivity Analysis of R0
Basic Model
-1 -0.5 0 0.5 1
-fs
-sh
Ns
Nh
-hf
Nf
7f
7ph
7s
Parameter Descriptions
Reservoir Host Model
-1 -0.5 0 0.5 1
7pd
-sd
Nd
-df
Nc
-cf
-sc
7pc
Nh
-sh
-hf
Ns
-fs
Nf
7ph
7f
7s
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Sensitivity Analysis of Endemic Mean Worm Burden in Humans
Basic Model
-1 -0.5 0 0.5 1
-sh
-fs
Nh
Ns
7f
7s
Nf
-hf
7ph
Reservoir Host Model
-1 -0.5 0 0.5 1
-fs
7f
Ns
Nd
Nf
-df
7pd
-sd
Nc
-sc
-cf
-hf
7pc
7ph
Nh
-sh
7s
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Human Reproductive Numbers
Only Human Transmission
0 2 4 6 8 10 12U
h
0
5
10
15
20
25
30
Fre
quen
cy
1.6886
Uh
Uh=1
median
P (Uh > 1) = 0.92
No Human Transmission
0 1 2 3 4 5Q
h
0
5
10
15
20
25
30
Fre
quen
cy
0.87307
Qh
Qh=1
median
P (Qh > 1) = 0.38
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Cat Reproductive Numbers
Only Cat Transmission
0 1 2 3 4 5U
c
0
5
10
15
20
25
30
Fre
quen
cy
0.81406
Uc
Uc=1
median
P (Uc > 1) = 0.33
No Cat Transmission
0 2 4 6 8 10 12Q
c
0
5
10
15
20
25
30
Fre
quen
cy
1.7015
Qc
Qc=1
median
P (Qc > 1) = 0.94
2017-12-08 13
Dog Reproductive Numbers
Only Dog Transmission
0 0.5 1 1.5 2 2.5U
d
0
5
10
15
20
25
30
Fre
quen
cy
0.41912
Ud
Ud=1
median
P (Ud > 1) = 0.03
No Dog Transmission
0 2 4 6 8 10 12Q
d
0
5
10
15
20
25
30
Fre
quen
cy
1.7879
Qd
Qd=1
median
P (Qd > 1) = 0.99
2017-12-08 14
Control Interventions
DogsCats
Humans
Eggs
SnailsCercariaeFish
ImprovedSanitation
(Id)
Mass DrugAdministration
(Im)
EducationCampaigns
(Ie)
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Effects of Interventions on Reproductive Number
0 0.2 0.4 0.6 0.8 1
Intervention coverage
0.2
0.4
0.6
0.8
1
Rep
rodu
ctio
n nu
mbe
rR
c(I
e)
Rc(I
d)
Rc(I
m)
Rc = 1
R0
2017-12-08 16
Effects of Interventions on Worm Burden in Humans
Education Campaigns
0 5 10 15 20Time (years)
0
10
20
30
40
Num
ber
of p
aras
ites
no interventionIe= 0.2
Ie= 0.4
Ie= 0.6
Improved Sanitation
0 5 10 15 20Time (years)
0
10
20
30
40
Num
ber
of p
aras
ites
no interventionId= 0.4
Id= 0.6
Id= 0.8
Annual Treatment
0 5 10 15 20Time (years)
0
10
20
30
40
Num
ber
of p
aras
ites no intervention
Im
= 0.4
Im
= 0.6
Im
= 0.8
2017-12-08 17
Elimination Dynamics
0 0.18 0.36 0.54 0.72 0.9Intervention coverage
0
10
20
30
40
50
Tim
e to
elim
inat
ion
(yea
rs)
0 0.18 0.36 0.54 0.72 0.9Intervention coverage
0
0.2
0.4
0.6
0.8
1
Pro
babi
lity
of e
limin
atio
n
Ie
Id
Im
twice a year
Im
once a year
Im
every 2 years
Im
every 3 years
Im
every 4 years
2017-12-08 18
Conclusions and Outlook
Conclusions
Transmission is unlikely to persist without humans.
Humans can maintain transmission on their own.
Education and improved sanitation require a very high coverage to eliminate.
Best strategy is a medium coverage of humans with treatment and as high aspossible with education campaigns and improved sanitation.
Outlook
Calibrate model with age-dependence in humans.
Model seasonality in fish and snail population dynamics.
Model heterogeneity and morbidity in humans.
Model intensity of infection in fish.
2017-12-08 19
Conclusions and Outlook
Conclusions
Transmission is unlikely to persist without humans.
Humans can maintain transmission on their own.
Education and improved sanitation require a very high coverage to eliminate.
Best strategy is a medium coverage of humans with treatment and as high aspossible with education campaigns and improved sanitation.
Outlook
Calibrate model with age-dependence in humans.
Model seasonality in fish and snail population dynamics.
Model heterogeneity and morbidity in humans.
Model intensity of infection in fish.
2017-12-08 19
Acknowledgements
NIOPH
Somphou Sayasone
Youth Vonghachack
Swiss TPH
Christine Burli
Nakul Chitnis
Peter Odermatt
Thomas Smith
University of Basel
Helmut Harbrecht
Funding
Swiss National Science Foundation
2017-12-08 20