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MALARIA ELIMINATION IN ZANZIBAR - Soper Strategies

MALARIA ELIMINATION IN ZANZIBAR - Soper Strategies

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most secondary cases but would occasionally lead to a small<br />

outbreak. We calculated the operational requirements for 100<br />

households to be screened as any number lower than 100 can then<br />

be considered to be within an operationally feasible range. The<br />

operational requirements can be calculated as illustrated in Table 2.<br />

TABLE 2: OPERATIONAL REQUIREMENTS FOR RACD FOR DIFFERENT<br />

LEVELS OF IMPORTATION RISK ONCE <strong>ELIM<strong>IN</strong>ATION</strong> IS ACHIEVED<br />

(ESTIMATES BASED ON 2020 POPULATION EXTRAPOLATIONS)<br />

# Cases detected (PCD<br />

+ ACD)<br />

# Households to be<br />

screened (100/detected<br />

case)<br />

# HH/district/month<br />

(# to be screened / 01<br />

districts/ 12 months)<br />

Estimated number of<br />

teams per district<br />

2/1000/year (prevention<br />

at >75% effective<br />

coverage)<br />

1.6 per 1000 people per<br />

year 2,781 cases<br />

278,089 1,275,879<br />

2,317 10,632<br />

5 teams (24 working<br />

days per month doing<br />

20 HH per day per<br />

team)<br />

8/1000/year (prevention<br />

at >75% effective<br />

coverage)<br />

7.35 per 1000 people<br />

12,759 cases<br />

22 teams (24 working<br />

days per month doing<br />

20 HH per day per<br />

team)<br />

The estimates from Table 2 assume that only 50% of infections<br />

are detected by the PCD system and the rest through RACD. It<br />

is safe to assume that by 2020 PCD should be able to pick up<br />

a higher proportion of infections thus reducing the proportion<br />

RACD needs to pick up, making the estimates in the table very<br />

conservative. Nevertheless, at lower ends of importation risk,<br />

RACD will be challenging but seems operationally feasible even<br />

if PCD only detects 50% of all infections.<br />

If preventive measures would be scaled back completely, PCD<br />

complemented by RACD alone cannot avoid outbreaks unless<br />

the importation risk is significantly reduced. This can only be<br />

achieved through pro-active case detection methods such as<br />

border screening or screening of high-risk groups (see below).<br />

Given the encouraging results from the simulations, we<br />

recommend that Zanzibar begin developing and implementing<br />

RACD early in their elimination program. As discussed below<br />

and in the section “From ZMCP to ZMEP,” this will require<br />

additional human resources both at the central and the district<br />

level, the necessary diagnostics tests for screening (RDTs), and<br />

standardized reporting tools and systems. As discussed in detail<br />

below, the area to be screening will depend on whether the initial<br />

investigation suggests that the identified case is most likely a<br />

locally acquired infection (no travel history) or an imported case<br />

(recent travel to a malaria endemic country/region).<br />

Pro-Active Case Detection (PACD)<br />

Pro-active case detection is the screening of an area or group of<br />

people considered to be at high risk for malaria transmission,<br />

even if no cases have been identified recently. This screening can<br />

be done either continuously or during certain high-risk seasons<br />

(defined by the malaria transmission and/or human migration<br />

patterns). Potential groups/areas targeted by this approach might<br />

include:<br />

2 | Operational Feasibility<br />

�� Areas with a high entomological inoculation rate (EIR) and a<br />

high population density;<br />

�� Seasonal migrant workers;<br />

�� Travelers from (high) endemic areas (border screening).<br />

The surveillance simulation indicates that prevention can<br />

be scaled back if PCD detects 77% of all infections, RACD<br />

screens around 100 households around every case detected, and<br />

a combination of malaria control on the mainland and PACD<br />

lowers the importation risk dramatically (see Table 3).<br />

TABLE 3: REQUIREMENTS FOR PCD, RACD AND PACD TO AVOID RESUR-<br />

GENCE WHEN PREVENTION (IRS/LL<strong>IN</strong>) IS SCALED-BACK<br />

Passive Case Detection Pro-Active Case<br />

Detection<br />

!" 90% of infections<br />

become symptomatic<br />

!" 90% of all febrile<br />

cases seek medical<br />

care<br />

!" The diagnostic test<br />

used has sensitivity<br />

of 95%<br />

!" Testing and<br />

treatment rates at<br />

100%<br />

77% of all infections<br />

detected and treated<br />

Although the estimates for RACD might seem operationally<br />

feasible, achieving 77% passive case detection rates and<br />

importation risk of 0.4/1000/year will be extremely challenging<br />

and will depend on what will/can be achieved on the mainland. We<br />

are therefore not in a position to make concrete recommendation<br />

on PACD. Operational research needed to define high-risk areas/<br />

groups is discussed in the Technical Feasibility Chapter. In the<br />

short-term, PACD is therefore not yet recommended.<br />

ANALYSIS AND RESPONSE<br />

!" Importation risk<br />

reduced from 2/1000/<br />

year to 1/1000 per<br />

year through control<br />

measures on the<br />

mainland<br />

!" Border screening<br />

and screening of high<br />

risk groups detects<br />

and treats 60% of<br />

imported cases<br />

Importation risk at<br />

0.4/1000/year<br />

Re-Active Case<br />

Detection<br />

!" PCD will detect<br />

0.53/1000/ year<br />

or 739 cases each<br />

year (using 2020<br />

population figures)<br />

!" Detecting these<br />

cases requires 73,900<br />

House Holds to be<br />

screened or 665 per<br />

district per month<br />

With a maximum<br />

capacity of 20 HH/<br />

day for 24 days/<br />

month; 2 teams per<br />

district are sufficient<br />

The surveillance system is only as useful as the response it elicits.<br />

As described above, strong surveillance enables the program to<br />

identify and target its interventions at residual and potential foci.<br />

To do so, the program must first understand and interpret the<br />

often complex data gathered by the system. This is done through:<br />

�� Epidemiological analysis of the data gathered by the MEEDS,<br />

from case investigations and re-active case detection<br />

(screening) around the index case;<br />

�� Analysis of entomological data collected from targeted areas<br />

(see below); and<br />

�� Geo-statistical analysis using geo-referenced data on malaria<br />

cases, vector breeding sites, remotely sensed data and climate/<br />

meteorological data.<br />

The results of the analysis not only define the required response,<br />

but also allow for the identification of high-risk areas. Such<br />

identification can permit preemptive action directed at potential<br />

37

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