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MALARIA ELIMINATION IN ZANZIBAR - Soper Strategies

MALARIA ELIMINATION IN ZANZIBAR - Soper Strategies

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Standardized data collection forms will need to be put in place to<br />

allow for a robust evaluation of the data management. In addition,<br />

we also suggest, in line with the WHO recommendations, to<br />

set up of a malaria elimination database with the following<br />

components:<br />

�� National Malaria Case Register<br />

�� Malaria Patient Register (records)<br />

�� Laboratory Register<br />

�� Parasite Strain Bank<br />

Surveys<br />

National representative surveys to monitor service coverage<br />

indicators will remain an important tool even when elimination<br />

has been achieved. The classic RBM indicators for preventive and<br />

curative services will need to be gradually adapted as activities<br />

change from control to elimination. In terms of methodology,<br />

the standard DHS and MIS methodology will remain a valid<br />

approach. However, for the monitoring of malaria transmission<br />

in an elimination setting the parasite prevalence surveys will<br />

require a very large sample size (>25,000). When transmission<br />

is interrupted, the current methodologies will no longer be<br />

useful, and new prevalence survey methods should be introduced<br />

(including serological and molecular biology investigations).<br />

TABLE 8: METHODOLOGICAL DIFFERENCES BETWEEN CONTROL AND<br />

<strong>ELIM<strong>IN</strong>ATION</strong> FOR SURVEYS<br />

The table below gives an overview of all the surveys planned<br />

for Zanzibar and provides suggestions for elimination-relevant<br />

indicators (and their targets) to be considered for inclusion. The<br />

table provides some initial thinking on how surveys, regularly<br />

done on Zanzibar, can be best used.<br />

44<br />

Variables/Indicators Control Elimination<br />

Service Coverage<br />

(LL<strong>IN</strong>s, IRS, …)<br />

Classic DHS, MICS<br />

or MIS sampling<br />

methods<br />

Prevalence MIS Methodology<br />

(RBM MERG et al.,<br />

2005)<br />

Microscopy and/or<br />

RDTs<br />

Transmission Estimated based<br />

on PfPR, using<br />

mathematical<br />

modeling (Ro,<br />

Rc) (Smith et al.,<br />

2007).<br />

Classic DHS, MICS or MIS<br />

sampling methods<br />

Too low to measure with classic<br />

sampling methods and diagnostic<br />

tools.<br />

Alternative sampling methods<br />

such as Lot Quality Assurance<br />

Sampling (Rabarijoana et al.,<br />

2001; Brooker et al., 2005)<br />

or other sequential sampling<br />

methods to be explored.<br />

Serology (in specific age groups)<br />

to demonstrate absence of<br />

transmission<br />

TABLE 9: ROUT<strong>IN</strong>ELY PLANNED SURVEYS <strong>IN</strong> AN <strong>ELIM<strong>IN</strong>ATION</strong> CONTEXT<br />

Survey Sample Period Elimination Indicators<br />

RBM Household<br />

Survey<br />

RBM Health<br />

Facility Surveys<br />

2,500<br />

households<br />

DHS Tanzania<br />

National<br />

Level<br />

2009/2011<br />

(Biannually)<br />

40 facilities 2009/2011<br />

(Biannually)<br />

2010<br />

THIS/MIS 2007<br />

Prevalence<br />

Surveys<br />

2,500<br />

households<br />

on Zanzibar<br />

10 sentinel<br />

districts<br />

(ZAMRUKI)<br />

(Every 4-5 years)<br />

(Every 4-5 years)<br />

Access to malaria<br />

treatment (100%)<br />

Health seeking behavior<br />

(all fevers tested)<br />

Intervention coverage/<br />

usage (100% and >80%<br />

respectively)<br />

Records review<br />

(including individual<br />

case records)<br />

(Might want to<br />

include a sample of<br />

private facilities that<br />

are providing malaria<br />

treatment and care)<br />

Intervention coverage/<br />

usage (100%) and >80%<br />

respectively)<br />

Intervention coverage/<br />

usage (100% and >80%<br />

respectively)<br />

(?) Need to rethink both<br />

sample size and testing<br />

methods<br />

2008-2010<br />

(Annually)<br />

Use of serology testing<br />

(either in specific<br />

groups, such as

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