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MALARIA ELIMINATION IN ZANZIBAR - Soper Strategies

MALARIA ELIMINATION IN ZANZIBAR - Soper Strategies

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COST<strong>IN</strong>G <strong>ELIM<strong>IN</strong>ATION</strong><br />

As described above, the costs of a potential elimination program<br />

were calculated by modeling the financial implications of the<br />

technical and operational recommendations using two scenarios:<br />

one which includes the core recommendations of this report and<br />

one which includes the lowest possible level of intervention that<br />

could feasibly sustain elimination (assuming dramatic reductions<br />

in importation risk).<br />

TABLE 16: ASSUMPTIONS OF 2 <strong>ELIM<strong>IN</strong>ATION</strong> SCENARIOS USED FOR<br />

COST<strong>IN</strong>G<br />

Prevention<br />

(LL<strong>IN</strong>s)<br />

Scenario 1 Scenario 2<br />

2020 2030 2020 2030<br />

75%<br />

coverage<br />

75%<br />

coverage<br />

75%<br />

coverage<br />

but start of<br />

progressive<br />

scale down<br />

The assumptions and calculation related to LL<strong>IN</strong> coverage and<br />

surveillance are explained below. Assumptions on the risk of<br />

importation are based on estimates from the technical feasibility<br />

chapter and assume that control on the mainland will reduce<br />

importation by 50% by 2030. In addition, scenario 2 assumes a<br />

further 60% reduction through further control on the mainland<br />

and implementation of border screening on Zanzibar (see below).<br />

LONG-LAST<strong>IN</strong>G <strong>IN</strong>SECTICIDE-TREATED NETS<br />

No LL<strong>IN</strong>s<br />

Importation 2/1000/year 1/1000/year 2/1000/year 0.4/1000/<br />

year<br />

Surveillance:<br />

Passive Case<br />

Detection<br />

Surveillance:<br />

Reactive<br />

Active Case<br />

Detection<br />

Surveillance:<br />

Proactive<br />

Active Case<br />

Detection<br />

50% of all<br />

infections<br />

detected<br />

100<br />

households<br />

screened/<br />

detected<br />

case<br />

77% of all<br />

infections<br />

detected<br />

100<br />

households<br />

screened/<br />

detected<br />

case<br />

50% of all<br />

infections<br />

detected<br />

100<br />

households<br />

screened/<br />

detected<br />

case<br />

77% of all<br />

infections<br />

detected<br />

100<br />

households<br />

screened/<br />

detected<br />

case<br />

None None None Border<br />

screening at<br />

ports<br />

The need to sustain universal coverage with LL<strong>IN</strong>s and/or IRS<br />

was one of the central recommendations of the technical feasibility<br />

assessment. As it is expected that IRS will be reduced to focus<br />

on just “hot spots,” it will thus be important to maintain LL<strong>IN</strong><br />

coverage at a substantial level throughout the program, including<br />

after interruption of transmission has been achieved (scenario 1).<br />

However, if vulnerability is reduced and the surveillance system<br />

is strong enough to detect the majority of cases that do emerge<br />

on the islands, it is possible that LL<strong>IN</strong> coverage could be scaled<br />

back over time and eventually abandoned altogether (scenario 2).<br />

The specific timelines and assumptions used in the costing are<br />

detailed in the table below.<br />

US $<br />

3 | Financial Feasibility<br />

TABLE 17: PROGRESSIVE SCALE DOWN OF LL<strong>IN</strong>S FOR SCENARIO 2:<br />

COVERAGE OVER TIME BY LEVEL OF <strong>MALARIA</strong> TRANSMISSION RISK<br />

ITN Coverage 2011-2020 2021-2023 2024-2026 2027-2029 2030-…<br />

High Risk<br />

(3 districts)<br />

Medium Risk<br />

(5 districts)<br />

No/Low Risk<br />

(2 districts)<br />

Overall<br />

(Population-<br />

adjusted)<br />

100% 100% 100% 100% 0%<br />

100% 100% 50% 0% 0%<br />

100% 0% 0% 0% 0%<br />

100% 62% 40% 18% 0%<br />

Both scenarios keep 100% coverage until 2020 to ensure that the<br />

75% usage (effective coverage) that is needed to reach elimination<br />

is sustained. Under scenario 2, LL<strong>IN</strong>s will then be progressively<br />

scaled down, first in districts that are estimated to be at no/low<br />

risk, followed by districts at medium and high risk, with all areas<br />

having abandoned LL<strong>IN</strong>s beginning in 2030. Risk was estimated<br />

at a district level from the ZMCP 2007 Malaria Indicator Survey,<br />

assuming districts with 0% prevalence were at no/low risk, those<br />

with prevalence between 0% and 1% were at medium risk, and<br />

those with prevalence >1% were at high risk.<br />

It is assumed that, as with sustained control, LL<strong>IN</strong>s under each<br />

scenario will be distributed through mass campaigns every three<br />

years. To facilitate interpretation, the costs associated with these<br />

campaigns are smoothed over the full three-year period.<br />

As illustrated in Figure 26, scaling back LL<strong>IN</strong>s will reduce cost<br />

considerably. As coverage in scenario 1 is equal to sustained<br />

control, this reduction represents cost savings compared to both<br />

the elimination and sustained control phases.<br />

FIGURE 26: COST OF LL<strong>IN</strong> DISTRIBUTION FOR <strong>ELIM<strong>IN</strong>ATION</strong> SCENARIOS:<br />

EXPECTED REQUIRED COVERAGE AND LOWEST FEASIBLE COVERAGE<br />

2,000,000<br />

1,800,000<br />

1,600,000<br />

1,400,000<br />

1,200,000<br />

1,000,000<br />

800,000<br />

600,000<br />

400,000<br />

200,000<br />

0<br />

2009<br />

2011<br />

2013<br />

2015<br />

2017<br />

2019<br />

2021<br />

2023<br />

2025<br />

2027<br />

2029<br />

2031<br />

2033<br />

“UNIVERSAL COVERAGE SCENARIO” PROGRESSIVE SCALE BACK AND NO NETS<br />

AFTER 2030<br />

69

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