Cddep modelingscenarios 20120915 0

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Modeling)Future) AMFm)Scenarios)


AMFm)Scenarios)Moving)Forward) •  Model&Structure& •  Inputs& •  Scenarios& •  Child4Targe7ng& •  Par7al&Subsidy&

•  Summary&

2&


Model)Structure) Transmission&

Rx&

Infec7on& Fever& Hospitaliza7on&

Rx&

Death&

An7malarial&Drugs&Avert&Bad&Outcomes,& &&the&Timing&of&Treatment&MaKers&

Rx& 3&


Model)Structure)

Introduction of a New Drug

Doses per 100,000, per year

Deaths Averted

0

Deaths per 100,000, per year

Baseline

T0 Time (in Years)

4&


0

â—?

Frequency of Resistance

Deaths Averted

Emergence 0

Introduction of a New Drug

Deaths per 100,000, per year

Doses per 100,000, per year

1

Model)Structure) Baseline

T0 Time (in Years)

5&


â—?

Frequency of Resistance

Deaths Averted

0

Introduction of ACTs

Deaths per 100,000, per year

Doses per 100,000, per year

1

Model)Structure)

Time (in Years)

6&


10

1

●●●

●● ● ● ●● ● ●

1/100

annual FOI

Model)Structure)

a

Malaria&Transmission&by&Mosquitoes&

0.01

0.1

1

10

100

1000

3/5 1/10

b ●● ●

● ●

●● ● ● ● ●

● ●

● ●

1/500

Transmission Efficiency

annual EIR

0.01

0.1

1

10

100

1000

annual EIR

7&


Model)Structure) S&

I&

P&

Children&

S&

I&

P&

Adults&

•  Two4stage&model&of&malaria&transmission& •  Children&are&more&likely&to&become&clinically&ill&when&infected& •  Treated&individuals&remain&uninfected&un7l&drug&clears&system&

8&


Model)Structure) IW

Drug&sensi7ve&

IS&

Drug&Resistant&(Single)& NAD,&AMT,&PMT&

ID&

Drug&Resistant&(Double)& NAD4PMT,&NAD4AMT,&ACT&

IT&

Drug&Resistant&(All)& NAD4ACT&

&

S&

Individuals&(both&children&and& adults)&can&be&infected&by&drug& sensi7ve&or&drug&resistant& parasites&

9& NAD&4&Non4Artemisinin&Drugs& AMT&4&Artemisinin&Monotherapy& PMT&4&Partner&Drug&Monotherapy&


Inputs) Death&Rates&

10& Source:&Murray,&C.&J.&L.,&L.&C.&Rosenfeld,&et& al.&(2012).&"Global&malaria&mortality& between&1980&and&2010:&a&systema7c& analysis."&The$Lancet&379(9814):&4134431

&


Inputs) Fever&Rates&

Treatment&Rates&

Ini7al&Market&Share&

Price&

Source:&CHAI&evalua7on&of&DHS&Household& Surveys

&

11&


Inputs:)Demand)Functions) Ghana

Ghana

0.015

Non-ART AMT

ACT-q ACT-n

all

100 CQ AMT

0.010

ACT-q ACT-n

0.005

0.000 0

1

2

3

4

Drug Percentages

Drug Demand

80

60

40

Price Difference of Subsidy

20

Increasing&the&subsidy& increases&the&demand&for& ACTs&as&well&as&overall& drug&demand&

0 0

1

2

3

Price Difference of Subsidy

4

12&


0.4

0.6

0.8

1.0

1

100

3

4

5

6

0.0

1.0

Price Difference of Subsidy

Tanzania

Uganda

CQ AMT

1.5

ACT-q ACT-n

80

80

ACT-q ACT-n

2 Price Difference of Subsidy

3

4

60 20 0

1

2

3

Price Difference of Subsidy 1

40

Drug Percentages

60

Drug Percentages

20 0

40

100 80 60 40 20

0

0

0.5

Price Difference of Subsidy

ACT-q ACT-n

0

Drug Percentages

100

2

CQ AMT

Nigeria

CQ AMT

60 20 0

0

Price Difference of Subsidy

100

0.2

ACT-q ACT-n

40

Drug Percentages

60 20 0

0.0

CQ AMT

80

ACT-q ACT-n

40

Drug Percentages

60 40 0

20

Drug Percentages

CQ AMT

Niger

80

ACT-q ACT-n

80

CQ AMT

Madagascar 100

100

Kenya

4

0.0

0.2

0.4 Price Difference of Subsidy

0.6

0.8

13&


Scenarios) •  Child4Targe7ng& •  Subsidize&child&packets&only& •  Assume&different&levels&of&leakage&to&adults& •  Adults&that&take&child&packs&either&“stack”&or&underdose&

•  Par7al&Subsidy& •  Pricing&Op7ons& •  No4subsidy •  Par7al&Subsidy& •  Full&Subsidy&

&&

•  Tiering&Op7ons& 14&


Scenarios:)Baseline) Annual&ACT&Treatments&(high&and&low&elas7city)&

Number&of&es7mated&annual&ACT&treatments&demanded& •  Universal&Subsidy& •  Assumes&a&propor7on& with&no&malaria& infec7ons& •  Individuals&treat& •  Child&doses&cost&50%& of&adults&(~$1)&

15&


Scenarios:)Baseline)

Number&of&Deaths&Averted&(high&and&low&elas7city)&

16&


Scenarios:)Baseline)

Number&of&Deaths&Averted&(high&and&low&elas7city)&

17& &

Same&as&prior&slide&–&dierent&scale


Scenarios:)Child=Targeted) Number&of&Deaths&Averted&(low&elas7city)&

18&


Scenarios:)Child=Targeted) Number&of&Deaths&Averted&(low&elas7city)&

19& &

Same&as&prior&slide&–&dierent&scale


Scenarios:)Child=Targeted) Number&of&ACT&Treatments&Demanded&(low&elas7city)&

20&


Scenarios:)Child=Targeted) Cost4Eec7veness&(low&elas7city)&

21&


Partial)Subsidy) •  No&Subsidy& •  Countries&have&access&to&AMFm&mechanism&to&purchase&qa4ACTs& at&nego7ated&price&(but&no&subsidy)& •  Reduces&end4user&price&

•  Par7al&Subsidy& •  Subsidy&covers&a&por7on&(50%)&of&the&cost&of&quality4assured& ACTs,&but&not&the&full&price.&& •  Results&in&larger&reduc7on&in&end4user&price&

•  Full&Subsidy& •  Subsidy&covers&95%&of&the&cost&of&quality4assured&ACTs& •  Results&in&significant&reduc7on&in&end4user&price& 22&


Annual&Subsidy&Cost&($millions)&

Partial)Subsidy)Cost)by)Country) Low&Elas7city4Low&Ini7al&ACT&Use&

23&


Partial)Subsidy)Cost) Annual&Subsidy&Cost&($millions)&

Total&Subsidy&Cost&across&all&countries&

Low&Ini7al& ACT&Use&

Higher&Ini7al& ACT&Use&

Low&Elas7city&

Low&Ini7al& ACT&Use&

Higher&Ini7al& ACT&Use&

High&Elas7city&

24&


Cost=Effectiveness) Cost4Eec7veness&($/Death&Averted)&

Cost4Eec7veness&across&all&countries&(low&elas7city)&

Excludes:&Senegal,&Somalia,&Kenya,&Rwanda,&Zimbabwe,&Sudan,&Ethiopia,&Mauritania,&Namibia,&Swaziland,&Djibou7&

25&


Partial)Subsidy:)No)Subsidy) Deaths&Averted&(thousands)&

Deaths&Averted&over&Five&Years&(low&elas7city)&

26&


Summary) •  Saving&lives&usually&comes&at&a&(diminishing&marginal)&cost:& •  A&universal&subsidy&saves&the&most&lives&and&costs&the&most& •  A&par7al&subsidy&or&a&child&targeted&subsidy&with&low&leakage&to& adults&tends&to&be&more&cost4effec7ve&To&maximize&the&number& of&lives&saved&

•  To&maximize&the&number&of&lives&saved:& •  Expand&access&to&drugs&purchased&at&the&AMFm&nego7ated&price.&& Reduces&risk&of&leakage&across&borders,&lower&nego7ated&prices& and&improve&access&to&QA4ACTs.& •  Tailor&AMFm&to&county&needs:&Spend&$$&on&countries&that&give& the&biggest&bang&for&buck&–&whether&on&child&targeted&subsidy&or& par7al&subsidy&depending&on&local&context.& 27&


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