Behavioural Surveillance Surveys - The Wisdom of Whores
Behavioural Surveillance Surveys - The Wisdom of Whores
Behavioural Surveillance Surveys - The Wisdom of Whores
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Maps derived from program planning exercises<br />
Mapping can also be an important part<br />
<strong>of</strong> planning interventions. For example,<br />
ethnographic mapping in the early stages<br />
<strong>of</strong> a program in Nepal illustrated that long<br />
distance drivers did not tend to congregate in<br />
truck stops along major roads. <strong>The</strong> mapping<br />
process included interviews with transport<br />
workers where each respondent was asked to<br />
draw the preferred locations for commercial<br />
sex, on a road map <strong>of</strong> Nepal. <strong>The</strong> maps<br />
identified small rest stops along the major<br />
east-west and north-south transport routes<br />
leading from India into Nepal. Transport<br />
workers preferred remote, highway-based tea<br />
shops, restaurants, and lodges as rest and<br />
entertainment sites, over similar establishments<br />
in large urban locations. In Nepal, truck<br />
drivers and their assistants said they would<br />
rather rest and relax at small roadside<br />
locations where there is plenty <strong>of</strong> space to<br />
park and maintain their trucks, and where<br />
they are not bothered by police and others.<br />
Given men’s preferences for remote,<br />
out-<strong>of</strong>-the-way locations and sex workers’<br />
identification with transient lifestyles, it was<br />
determined that the Nepal program’s<br />
geographical focus should expand beyond<br />
Nepal’s major urban centers to include smaller<br />
commercial centers, transport bazaars, and<br />
small rest stops adjacent to Nepal’s major<br />
highways. This mapping exercise ultimately<br />
allowed the project to reach the target<br />
population more effectively. <strong>The</strong> same type<br />
<strong>of</strong> procedure may be used to create an<br />
appropriate sampling frame.<br />
In some cases, it may not be financially or<br />
logistically feasible to create a sampling frame<br />
for the entire population universe for a given<br />
sub-population. In this case, the only option<br />
that still meets the criteria for probability<br />
sampling is to restrict the universe to one<br />
part <strong>of</strong> the larger population, and to create a<br />
sampling frame for that part alone.<br />
For example, in a large country it might not be<br />
feasible to develop a sampling frame for all<br />
major cities, and thus a decision might be<br />
made to limit a behavioral survey effort to<br />
only the largest cities. In this event, it should<br />
be made absolutely clear that the results<br />
cannot be extrapolated to smaller cities or<br />
rural areas.<br />
Regardless <strong>of</strong> the process that is used to<br />
help learn about where members <strong>of</strong> a<br />
sub-population are located, the mapping <strong>of</strong><br />
groups in a particular geographic area is likely<br />
to be an ongoing process in which maps are<br />
continually refined as new information<br />
becomes available. In addition, triangulation<br />
<strong>of</strong> data from several sources is necessary to<br />
obtain comprehensive and accurate information.<br />
Basic two-stage sample design<br />
Most sub-population surveys will use a<br />
two-stage sample design. Primary sampling<br />
units (PSUs) or clusters are chosen at the first<br />
stage <strong>of</strong> sample selection, and individual<br />
respondents are chosen from within each<br />
<strong>of</strong> the selected PSUs at the second stage.<br />
This sampling scheme, adapted to meet the<br />
needs <strong>of</strong> the different sub-populations and<br />
local conditions, will likely satisfy the needs<br />
<strong>of</strong> most BSS efforts. <strong>The</strong> basic two-stage<br />
cluster sample design and some <strong>of</strong> the major<br />
design options are described in this chapter.<br />
Examples <strong>of</strong> how these designs can practically<br />
be adapted and applied to different respondent<br />
groups appear in Appendix 2.<br />
36<br />
C H A PTER 4 B EHAV I OR A L S U R V EI L L A NC E S U R V EY S