Guidelines for second generation HIV surveillance - World Health ...
Guidelines for second generation HIV surveillance - World Health ...
Guidelines for second generation HIV surveillance - World Health ...
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• Data from interventions or programmatic data<br />
• Secondary data sources (from non-health sector).<br />
No one source of <strong>surveillance</strong> data will answer all questions. One must pull data together, then triangulate<br />
(or synthesize) the data and interpret the results (7).<br />
2.1.2. Know your epidemic<br />
As recent national and regional/local in<strong>for</strong>mation is reviewed, the in<strong>for</strong>mation needed to know your epidemic<br />
will begin to emerge (1). Knowing a country’s epidemic consists of identifying the important epidemiological<br />
regions where new infections are coming from and understanding how the epidemic is changing, either due<br />
to natural causes or as a result of interventions.<br />
Evaluating a National Surveillance System<br />
To provide in<strong>for</strong>mation <strong>for</strong> data-driven planning <strong>for</strong> <strong>HIV</strong> programmes, one needs:<br />
• to identify parts of the country where the epidemic appears to be the most severe;<br />
• to describe the different factors that seem to be promoting new infections in different parts of the country;<br />
• to list areas where there are few infections and possibly little transmission;<br />
• to distinguish between areas with few infections and areas where there is no in<strong>for</strong>mation;<br />
• to describe which systems are already in place to detect areas with emerging epidemics and assess how<br />
sensitive these systems are.<br />
2.1.3. Learn where most new infections come from in your country<br />
There are two dimensions one must know in order to understand where most new infections are occurring.<br />
These are the geography of the country and the various behaviours that put people at increased risk <strong>for</strong> <strong>HIV</strong><br />
infection. It is important to know the context in which <strong>HIV</strong> transmission occurs.<br />
The geography → First dimension: the geography<br />
Most countries have diverse regions with varying socioeconomic conditions and populations. An effective<br />
<strong>surveillance</strong> system must describe what is happening in every geographical region across the country or<br />
at least where the majority of the people live. In this way, one can provide in<strong>for</strong>mation to planners of<br />
intervention programmes.<br />
Behaviours at increased risk → Second dimension: behaviours at increased risk<br />
Some behaviours are likely to result in more infections in some parts of a country and among some<br />
people. A country must identify the key populations with behaviours that increase their risk <strong>for</strong> acquiring or<br />
transmitting <strong>HIV</strong>. Some behaviours that increase a person’s risk to <strong>HIV</strong> are:<br />
• heterosexual sex with multiple and overlapping partners<br />
• selling of sex<br />
• injection drug use<br />
• anal sex.<br />
Identify data sources that provide in<strong>for</strong>mation on these risk behaviours from surveys or programme records,<br />
from police records or other possible data sources. Alternatively, identify sources of data on populations<br />
that often engage in these behaviours such as truck drivers or prisoners. Risk behaviours and their context<br />
are discussed further in section 2.2.<br />
2.1.4. Develop a <strong>surveillance</strong> inventory<br />
A <strong>surveillance</strong> inventory is a summary of the data sources that are available <strong>for</strong> the key populations in each<br />
geographical unit of a country. A <strong>surveillance</strong> inventory provides <strong>surveillance</strong> managers with an overview<br />
of where data may be insufficient to “know your epidemic”.<br />
Choose geographical units<br />
The units should reflect how data are collected and how the response is organized. At this early stage, one<br />
can use administrative divisions like districts, <strong>for</strong> example, aligned with the boundaries used <strong>for</strong> routine<br />
health in<strong>for</strong>mation data collection, programme budgets or management structures. One way to organize the<br />
in<strong>for</strong>mation currently available <strong>for</strong> each geographical unit is to create an inventory of <strong>surveillance</strong> activities.<br />
Begin the inventory by listing each geographical unit as, <strong>for</strong> instance, in Table 2.1, left column. Later, one can<br />
add what data sources are available <strong>for</strong> each key population at higher risk, as given in section 2.2.<br />
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