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Behavioural Surveillance Surveys - The Wisdom of Whores

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Floating Sex workers<br />

For sex workers who do not work from<br />

fixed establishments, two alternative sampling<br />

schemes are proposed. <strong>The</strong> preferred approach<br />

would be to access sex workers at locations<br />

that they frequent, and use a two-stage timelocation<br />

sampling approach, as in Chapter 4.<br />

This approach is illustrated below. <strong>The</strong> second<br />

approach, recommended for use only if the<br />

preferred approach is not feasible in a given<br />

setting, entails the use <strong>of</strong> target snowball<br />

sampling, described in Chapter 4.<br />

Time-location cluster sampling<br />

As already mentioned, in some places<br />

it is typical for sex workers to work on a<br />

“freelance” basis, where they are not attached<br />

to any fixed location, but rather come and go<br />

freely from different sites. In this situation,<br />

there is no way to list people at a site, or get<br />

a fixed measure <strong>of</strong> size for the site. One way<br />

to get around this situation, and still get a<br />

probability sample, is to use the time-location<br />

cluster method introduced in Chapter 4.<br />

In that chapter, the principles used for<br />

developing the sampling frame are described<br />

in detail. A mapping exercise is needed<br />

before a list <strong>of</strong> time-location clusters can be<br />

developed. <strong>The</strong> two options for selecting<br />

respondents from PSUs, “take-all” or fixed<br />

number per site are also described in Chapter 4.<br />

<strong>The</strong> following example illustrates the process<br />

for conducting time-location sampling for<br />

freelance sex workers.<br />

Sampling frame development<br />

In this example, let us suppose that a<br />

mapping exercise has been conducted, using<br />

key informants including sex workers, NGOs<br />

working with sex workers, taxi drivers who<br />

tend to lead men to locations where sex is<br />

sold and some clients <strong>of</strong> sex workers. Through<br />

the mapping, the team deduces a set <strong>of</strong><br />

information about floating sex workers that<br />

they will use to develop the sampling frame.<br />

From the information they have gathered and<br />

the situations they have observed, they will<br />

assume that floating sex workers can be found<br />

in certain bars and hotels, as well as on particular<br />

streets. In addition, they conclude that :<br />

• Friday and Saturday nights are the busiest<br />

nights <strong>of</strong> the week for floating sex workers,<br />

but some floating sex workers can also be<br />

found during the day.<br />

• <strong>The</strong>re are more floating sex workers at<br />

night than during the day, but those found<br />

during the day on weekdays include<br />

slightly older women, some <strong>of</strong> whom are<br />

married, but who sell sex during the day<br />

while their husbands are at work.<br />

• If a site is visited twice, on average 20-30%<br />

<strong>of</strong> the floating sex workers found will be<br />

the same as those who were there on other<br />

days <strong>of</strong> the week.<br />

• Floating sex workers do not stay in one<br />

place, but tend to circulate among different<br />

sites looking for clients.<br />

• If a site is visited for two hours, on average,<br />

the number <strong>of</strong> floating sex workers found<br />

will be between 7 and 13, however, some<br />

sites are very large, with as many as 30-40<br />

women, especially on Friday and Saturday<br />

nights after paydays.<br />

B EHAV I OR A L S U R V EI L L A NC E SURV EY S APPEN DI X 3<br />

315

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