Control and elimination of onchocerciasis: thresholds, breakpoints & strategies 34 th session of the APOC Technical Consultative Committee (TCC), Ouagadougou, 12-16 March 2012 Hans-Peter Duerr Institute for Medical Biometry University of Tübingen, Germany http://www.uni-tuebingen.de/modeling/Mod_Oncho_Intro_en.html
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Control and elimination of onchocerciasis:
thresholds, breakpoints & strategies
34th session of the APOC Technical Consultative Committee (TCC), Ouagadougou, 12-16 March 2012
• Blackflies: A strategy which has led to elimination in a certain village not necessarily will be successful at higher ABRs.
• Expectations: A strategy which works 'on average' does not work for the 'worse 50%' of cases.
• Thresholds: A critical CMFL, MF-prevalence, etc. is not independent of the ABR. Most probably only adult worms allow for formulating threshold criteria independent of the ABR.
• Time: Time cannot compensate for an insufficient strategy (insufficient coverage over 100 years will still be insufficient)
• Population size: A strategy which has been successful for a village with 100 citizens not necessarily works for a country with 100,000 citizens.
Duerr HP, University of Tübingen 3
Topics • Some theory ………………………………………… • Questions & answers on CDTI:
- Which coverage? - Annual or semi-annual
treatment? - For how long? - Thresholds or criteria for successful
strategies: critical CMFL, critical ATP? • A crude classification of elimination:
ABR is in the order of thousands:
ABR is in the order of ten thousands:
ABR is in the order of hundred thousands:
Elimination by means of CDTI is possible.
Elimination by means of CDTI is difficult and
requires extra efforts.
Elimination by means of CDTI seems impossible without additional vector control.
Duerr HP, University of Tübingen 4
Model & data basis of this talk
H.P. Duerr, M. Eichner / International Journal for Parasitology 40 (2010) 641–650
A: ATP dependent on ABR B: MF/mg skin snip
dependent on ATP C: MF prevalence
dependent on ATP D: MF prevalence dependent
on MF/mg skin snip E: MF ingested per fly depen-
dent on MF/mg skin snip F: L3 per fly dependent on
MF ingested per fly
The model has been cali-brated with data from various African countries, predominantly savannah areas, considering the following relationships:
Duerr HP, University of Tübingen 5
Precision of predictions & Variability
H.P. Duerr, M. Eichner / International Journal for Parasitology 40 (2010) 641–650
Data often show variability of one
order of magnitude.
An 'average' ABR of 10,000
originates from ABRs observed between 3,000 and 30,000
.
Duerr HP, University of Tübingen 6
The early definitions of endemicity levels
Applied on: Duerr HP et al, 2010, Int J Parasitol 40: 641–650
Garms 1983 Renz 1987 Pedersen 1985 Dietz 1982 Model
1985: OCP/GVA/85.1B 'Ten years of onchocerciasis control in West Africa', p. 12: • Hypoendemicity: ... the prevalence rate is below 40% ... the blindness rate …is generally below 1%. • Hyperendemicity: ... over 60% Onchocerca volvulus carriers in the population and an
average of more than 10-15 filariae in skin snips • Mesoendemicity: … over 40% or less than 60%, .... The definition of mesoendemicity is mainly negative:
… the disease is socially recognizable but has not yet reached a level intolerable to the community.
… CDTI will be stopped after 10 years, and we simulate 5 years more what will happen.
Duerr HP, University of Tübingen 23
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Years
CDTI No control
A
B
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
… onset of control
Duerr HP, University of Tübingen 24
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… CDTI shifts the persistence graph to the right, towards higher ABRs.
Duerr HP, University of Tübingen 25
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… CDTI shifts the persistence graph to the right, towards higher ABRs.
Duerr HP, University of Tübingen 26
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… CDTI shifts the persistence graph to the right, towards higher ABRs.
Duerr HP, University of Tübingen 27
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… CDTI shifts the persistence graph to the right, towards higher ABRs.
Duerr HP, University of Tübingen 28
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… CDTI shifts the persistence graph to the right, towards higher ABRs.
Duerr HP, University of Tübingen 29
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… CDTI shifts the persistence graph to the right, towards higher ABRs.
Duerr HP, University of Tübingen 30
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… CDTI shifts the persistence graph to the right, towards higher ABRs.
Duerr HP, University of Tübingen 31
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… for a given ABR, we can observe that the average parasite burden decreases.
Duerr HP, University of Tübingen 32
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… for a given ABR, we can observe that the average parasite burden decreases.
Duerr HP, University of Tübingen 33
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… for a given ABR, we can observe that the average parasite burden decreases.
Duerr HP, University of Tübingen 34
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… for a given ABR, we can observe that the average parasite burden decreases.
Duerr HP, University of Tübingen 35
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… for a given ABR, we can observe that the average parasite burden decreases.
Duerr HP, University of Tübingen 36
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… for a given ABR, we can observe that the average parasite burden decreases.
Duerr HP, University of Tübingen 37
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… for a given ABR, we can observe that the average parasite burden decreases.
Duerr HP, University of Tübingen 38
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… the TBR will soon exceed the local ABR of village A
Duerr HP, University of Tübingen 39
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… the TBR will soon exceed the local ABR of village A
Duerr HP, University of Tübingen 40
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… the TBR will soon exceed the local ABR of village A
Duerr HP, University of Tübingen 41
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
… the TBR will soon exceed the local ABR of village A
Duerr HP, University of Tübingen 42
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… the TBR will soon exceed the local ABR of village A
Duerr HP, University of Tübingen 43
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… the TBR will soon exceed the local ABR of village A
Duerr HP, University of Tübingen 44
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… under continuation of this strategy village A is straight on the way towards elimination.
Duerr HP, University of Tübingen 45
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… under continuation of this strategy village A is straight on the way towards elimination.
Duerr HP, University of Tübingen 46
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… under continuation of this strategy village A is straight on the way towards elimination.
Duerr HP, University of Tübingen 47
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… under continuation of this strategy village A is straight on the way towards elimination.
Duerr HP, University of Tübingen 48
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… under continuation of this strategy village A is straight on the way towards elimination.
Duerr HP, University of Tübingen 49
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… under continuation of this strategy village A is straight on the way towards elimination.
Duerr HP, University of Tübingen 50
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
The only thing what happens in village A is extinction of 'old' residual parasites.
Duerr HP, University of Tübingen 51
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
The only thing what happens in village A is extinction of 'old' residual parasites.
Duerr HP, University of Tübingen 52
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
The only thing what happens in village A is extinction of 'old' residual parasites.
Duerr HP, University of Tübingen 53
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
The only thing what happens in village A is extinction of 'old' residual parasites.
Duerr HP, University of Tübingen 54
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
B
A
Termination of CDTI
Duerr HP, University of Tübingen 55
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
Duerr HP, University of Tübingen 56
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
The persistence graph moves back towards the former location.
Duerr HP, University of Tübingen 57
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
The persistence graph moves back towards the former location.
Duerr HP, University of Tübingen 58
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
The persistence graph moves back towards the former location.
Duerr HP, University of Tübingen 59
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
The persistence graph moves back towards the former location.
Duerr HP, University of Tübingen 60
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
Critical for village A: the TBR comes back.
Duerr HP, University of Tübingen 61
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
Critical for village A: the TBR comes back.
Duerr HP, University of Tübingen 62
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… but re-infection in village A does not occur because its parasite burden has been reduced below the breakpoint curve.
Duerr HP, University of Tübingen 63
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… but re-infection in village A does not occur because its parasite burden has been reduced below the breakpoint curve.
Duerr HP, University of Tübingen 64
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… but re-infection in village A does not occur because its parasite burden has been reduced below the breakpoint curve.
Duerr HP, University of Tübingen 65
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… but re-infection in village A does not occur because its parasite burden has been reduced below the breakpoint curve.
Duerr HP, University of Tübingen 66
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… but re-infection in village A does not occur because its parasite burden has been reduced below the breakpoint curve.
Duerr HP, University of Tübingen 67
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… but re-infection in village A does not occur because its parasite burden has been reduced below the breakpoint curve.
Duerr HP, University of Tübingen 68
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… but re-infection in village A does not occur because its parasite burden has been reduced below the breakpoint curve.
Duerr HP, University of Tübingen 69
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A
… but re-infection in village A does not occur because its parasite burden has been reduced below the breakpoint curve.
Duerr HP, University of Tübingen 70
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
A
B
Elimination
After all: • Elimination
in village A
Duerr HP, University of Tübingen 71
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Annual biting rate
0.1
1
0.5
0.2
10
5
3
1,000 10,000 3,000
Adu
lt fe
mal
e O
. vol
vulu
s pe
r per
son
Years
CDTI No control
B
A Elimination
Relapse
After all: • Elimination
in village A • Relapse in
village B
Duerr HP, University of Tübingen 72
What is this good for?
• Elimination requires reaching a breakpoint, but…
• reaching a breakpoint is actually only a consequence of having performed CDTI to such an extent that the shifted TBR exceeds the local ABR
"Hans-Peter, this theory on adult worm stuff is nice but useless. Tell us something useful:" • Which coverage? • Annual or 6-monthly treatment? • For how long? • Thresholds or criteria for successful strategies? • Critical CMFL, critical ATP?
Duerr HP, University of Tübingen 73
0 10 20 30 40 50 60 70 80 90
100
1000 10000 5000 3000 20000 40000
Coverage of CDTI required for elimination
Annual biting rate (ABR)
Min
imum
eff
icac
y of
CDT
I on
the
popu
latio
n M
F de
nsity
[%]
requ
ired
for e
limin
atio
n
Elimination
Persistence
‘Efficacy of CDTI’ depends on • number of treatment rounds per year • intra-host efficacy of ivermectin • macrofilaricidal effect of ivermectin • ABR
Macrofilaricidal effect: Under CDTI, female O. v. live on average for another…
10 years 9 years 8 years 7 years 6 years 5 years 4 years 3 years
No macro-filaricidal effect
Strong macro-filaricidal effect
HP Duerr et al. International Journal for Parasitology 41 (2011) 581–589
Note: The graph holds for very large populations; curves become more optimistic if a small popula-tion or a small transition zone is simulated.
Quantitatively relevant is the average reduction of the microfilaria density in the population which CDTI can achieve, called ‘efficacy of CDTI’ in the following.
3
4
5
6 7 8 9
10
Duerr HP, University of Tübingen 74 Time (months)
Perc
enta
ge o
f pre
trea
tmen
t M
F lo
ad (g
eom
. mea
ns)
CDTI: Annual or 6-monthly treatment? Answer: 6-monthly in most regions, for 4 reasons:
1. to reach more non-compliers improves coverage 2. to maximize the macrofilaricidal side-effect of IVM 3. to reduce the risk of resistance against IVM
(habituation of the parassite against IVM under inefficient IVM-usage) 4. to oppose the
MF-repopulation rate:
MF-repopulation starts already after 4 months
Basanez MG et al., 2008. Effect of single-dose ivermec-tin on Onchocerca volvulus: a systematic review and meta-analysis. Lancet Infectious Diseases 8: 310-322.
Duerr HP, University of Tübingen 75
Annual biting rate (ABR)
Infe
ctio
n ra
te u
nder
CDT
I (%
of p
re-c
ontr
ol)
0
25
50
75
100
1000 10000 100000
MF-reduction through CDTI
60% 80% 90% 95%
With
resp
ect t
o th
e in
fect
ion
rate
CDT
I is
efficient
not efficient
CDTI: For how long? (1) TRIVIAL: at minimum over a period which covers the life-expectancy of adult O. v.
(10-14 ys, possibly less if ivermectin reduces the life-expectancy) BUT: Re-infections during control reset the clock to time zero RISKS: - Re-infection occuring under annual treatment
(see before: MF repopulation starts 4-6 months after ivermectin receipt) - Re-infections resulting from residual infection:
E. g. under annual treat-ment & an ABR of 10,000 bites per person and year: infection rate under CDTI can still be greater than 40% of the pre-control infection rate, even under very high efficay of CDTI.
HP D
uerr
et a
l. In
tern
atio
nal J
ourn
al
for P
aras
itolo
gy 4
1 (2
011)
581
–589
Note: curves become more optimistic if a small population or transition zone is simulated
Duerr HP, University of Tübingen 76
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
1
500 1000 10000 4000 2000 100000 ABR
Prev
alen
ce o
f MF
+ve
skin
snip
s
Thresholds or criteria for successful strategies? e. g. critical CMFL, critical ATP
A single value cannot be given; thresholds depend on ABR:
HP Duerr et al. International Journal for Parasitology 41 (2011) 581–589
• A critical MF prevalence can only be expressed for ABRs up to 10000 bites per person and year.
• The critical MF prevalence underruns detection limits for ABRs greater than 10000 bites per person and year
Note: curves become more optimistic if a small population or a small transition zone is simulated
60% 80% 90% 95% efficacy of CDTI
Duerr HP, University of Tübingen 77
CDTI: For how long? (2)
Not a number of years matters, but reaching the critical prevalence of carriers of adult female O. v.:
HP Duerr et al. International Journal for Parasitology 41 (2011) 581–589
• A critical prevalence of carriers of adult female O. v. seems to be only treshold which can be expressed independent of the ABR.
• Recipe: perform CDTI until only 50% of the population still harbour adult female O.v.: then, continuing this strategy is likely to lead into elimination.
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
1
1000 500 10000 4000 2000 100000
Prev
alen
ce o
f adu
lt O
.v. +
ve
ABR
60 80 90 95% efficacy of CDTI
n o n - e n d e m i c
Duerr HP, University of Tübingen 78
Hans-Peter Duerr Institute for Medical Biometry, University of Tübingen, Germany
Fig. 3. Qualitative illustration of the role of breakpoints and the longitudinal changes in the average densities of adult female Onchocerca volvulus (A) and microfilariae (MF per mg skin snip, (B)) in the human population. The graph is specific for a certain annual biting rate (ABR), and proportions in time and parasite burdens will change as the ABR changes. In circles: W, endemic equilibrium density of adult female parasites per host; M, endemic equilibrium MF density; BP, breakpoint; E, Elimination. Time 0–1: endemic state as found under pre-control conditions. Time = 1: onset of control: treating the population with a microfilaricide will quickly reduce the average MF density in the population (‘primary effect’ of approximately 80% in (B)), but not so the adult female parasite population (A). Time = 2: the further reduction in MF densities follows the reductions in the adult female parasite population under a control-reduced infection rate (‘secondary effect’). Ongoing infection is possible because the parasite is not eliminated. Time = 3: if long-term control by a microfilaricide is capable of bringing the adult female parasite burden below its ABR-specific breakpoint, elimination will follow (dashed line). If the breakpoint cannot be reached, parasite burdens will remain endemic at a new, control-specific equilibrium (solid line). Time 4–5: if control is stopped when the breakpoint has not been reached, parasite burdens in the population will return to their pre-control equilibrium values. H.P. Duerr et al. / International Journal for Parasitology 41 (2011) 581–589
Duerr HP, University of Tübingen 83
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
1
1000 500 10000 4000 2000 100000 ABR
0.1 0.05
1 0.5
0.2
10 5
2
20 40
1000 500 10000 4000 2000 100000 ABR
1 0.6 0.4
10 6 4
2
20
1000 500 10000 4000 2000 100000 ABR
Adul
t fem
ale
O. v
. per
per
son
MF
per m
g sk
in sn
ip
Prev
alen
ce o
f MF
+ve
skin
snip
s
C
A
D
60 80 90 95
60 80
90 95
60 80 90 95
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
1
1000 500 10000 4000 2000 100000 ABR
Prev
alen
ce o
f adu
lt O
.v. +
ve
B
60 80 90 95
Fig. 4. Density and prevalence (solid curves) of adult female Onchocerca volvulus (O. v.) and microfilariae (MF) predicted for different efficacies of community-directed treatment with ivermectin (CDTI) on the population MF density (MF per mg skin snip). The highest, black curve in each graph represents the pre-control endemicity dependent on the annual biting rate (ABR). The other four curves assume that CDTI reduces the average MF density in the population by 60%, 80%, 90% and 95%. Breakpoints are predicted for adult female O. volvulus only (dotted curves in A and B). Grey shaded areas in each graph represent the zone of non-endemic transmission. The pre-control threshold biting rate (TBR) lies at 730 bites per person per year (vertical dashed line). For MF densities in C and D, the borderline between the zone of endemic and nonendemic transmission (dashed line) decreases with both the ABR and the efficacy of control, leading to very low values for MF endemicity that are difficult to detect. In contrast, for the adult parasite burden shown in A and B the borderline between the zone of endemic and non-endemic transmission are located at higher endemicity and proceed horizontally, indicating that the status of the elimination program may be monitored independently of the ABR or the efficacy of control. The two filled circles (1 and 2) in C represent two villages to illustrate non-endemic versus endemic transmission. Breakpoints for the density and prevalence of MF are not shown because they can be misleading.