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Guidelines for second generation HIV surveillance - World Health ...

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Weaknesses: Spectrum requires at least five data points over time to produce reasonably reliable prevalence<br />

curves and related incidence curves. The Estimations and Projections Package (EPP) can only fit curves <strong>for</strong><br />

populations <strong>for</strong> whom there are trend data. Data requirements can be considerable. Most countries with<br />

generalized epidemics tend to have good time-series data <strong>for</strong> ANC attendees but time-series data <strong>for</strong> other<br />

populations that are important <strong>for</strong> the epidemic are generally not available.<br />

Other incidence models<br />

Modelling requires multiple time points of <strong>HIV</strong> prevalence and behavioural data <strong>for</strong> the different groups<br />

present in a geographical unit. Some countries or areas have more data that can be used as inputs, <strong>for</strong><br />

example:<br />

• <strong>HIV</strong> risk behaviour trends<br />

• estimated sizes of populations at risk <strong>for</strong> <strong>HIV</strong><br />

• <strong>HIV</strong> prevalence trends<br />

• data on the burden of STIs.<br />

For some countries, more advanced modelling can be done, which not only provides incidence estimates<br />

but also allows countries to project the expected trajectory of <strong>HIV</strong> incidence in different populations. These<br />

are powerful planning tools. First, the UNAIDS Modes of Transmission tool is used to estimate the number<br />

of new infections currently occurring among different populations. It does not project trends or trajectory<br />

of incidence (28). In Kenya, <strong>for</strong> instance, heterosexual transmission was found to be the most prominent<br />

mode of transmission in all geographical areas from both the epidemiological analysis and modelling<br />

approach (29). Second, the Asian Epidemic Model (30) is a tool that can be used to predict trends <strong>for</strong> the<br />

types of concentrated epidemics that occur in Asia. See the example that follows, which illustrates the Asian<br />

Epidemic Model in Indonesia.<br />

Strengths: These powerful planning tools allow countries to project <strong>for</strong>ward on:<br />

• the expected trajectory of <strong>HIV</strong> incidence<br />

• the source of new <strong>HIV</strong> infections in different populations.<br />

Weaknesses: Such tools require considerable amounts of data on the different populations and in<strong>for</strong>mation<br />

about their roles in the epidemic. Models have been developed, tested and validated only <strong>for</strong> specific<br />

epidemic patterns. Also, trained staff is required to use the software.<br />

Using the Asian Epidemic Model in Indonesia (Figure 4.6) (30)<br />

Recall the Indonesia epidemiological zone map in Section 2 (Figure 2.3).<br />

• The Asian Epidemic Model predicts that infections among clients of sex workers in Papua will grow<br />

steadily and result in more infections among regular partners.<br />

• Without saturation of prevention programmes, the number of new infections per year may double by<br />

2020.<br />

• Outside of Papua, the dynamics of the epidemic are more complex because of the interactions among<br />

persons who inject drugs, men who have sex with men and female sex workers.<br />

• New infections will increase sharply as the epidemic spreads beyond injection drug use and shifts<br />

towards sexual transmission.<br />

Ideally, models should not be used <strong>for</strong> monitoring trends as they are based on assumptions and are only<br />

as good as the data that are used in the model. However, most countries do not have the data to measure<br />

incidence and models are the only viable option.<br />

<strong>HIV</strong> incidence assays<br />

Assays and laboratory protocols <strong>for</strong> measuring <strong>HIV</strong> incidence rates directly at the population level have<br />

been under development <strong>for</strong> a number of years. They are now beginning to be used by some countries<br />

as a component of the <strong>HIV</strong> <strong>surveillance</strong> system. At present, these assays are not entirely accurate. They<br />

require correction factors and further validation <strong>for</strong> use in different settings be<strong>for</strong>e they can be considered<br />

as reliable <strong>surveillance</strong> tools (31,32). In the meantime, countries continue to rely heavily on tools that are well<br />

tested and known to be both sensitive and specific <strong>for</strong> measuring prevalent infections.<br />

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