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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Programmes may need to be updated based on new in<strong>for</strong>mation about the epidemic. As you process<br />
feedback (findings/data) from the last round of <strong>surveillance</strong> activities, your data priorities may need to shift.<br />
An example can be provided by data analysis of the Honduras <strong>HIV</strong> epidemic (Figure 4.8). The <strong>HIV</strong> notification<br />
rates per 100 000 population are higher in the coastal regions compared with the rest of the country. At the<br />
same time, the male-to-female (M:F) ratio of people infected with <strong>HIV</strong> in the north is close to 1, whereas in<br />
the rest of the country the M:F ratio is 3:1. This characteristic has been constant over time, which implies<br />
that two different epidemics are evolving in the country.<br />
4.3.3. Indentify where new infections are occurring<br />
Epidemiological in<strong>for</strong>mation can contribute to indentifying where new infections are coming from. For<br />
instance, this in<strong>for</strong>mation is key to using the UNAIDS Modes of Transmission model (MOT). It uses national<br />
prevalence and behavioural data to model the distribution of incidence in key populations at increased risk. It<br />
is there<strong>for</strong>e an important tool in supporting country programmes to “Know the <strong>HIV</strong> Epidemic” and there<strong>for</strong>e<br />
modify programmes. The epidemiological synthesis preceding the modelling exercise is a key requirement<br />
<strong>for</strong> developing a clear explanation of the dynamics of <strong>HIV</strong> infection, assessing the degree of alignment<br />
between programme and resource ef<strong>for</strong>ts, and the priority areas identified through the modelling exercise.<br />
By developing an understanding of the national epidemic and context (gaps, risks, service coverage and<br />
resources), the country is able to make better decisions on prioritization and definition of goals and targets<br />
<strong>for</strong> effective scale up of the national response.<br />
As an example, Figure 4.9 presents the results of the Modes of Transmission study in selected African<br />
countries and where it was evident that key populations at higher risk played a major role in transmission<br />
of new <strong>HIV</strong> infections.<br />
Figure 4.8. Taux de cas d’infection à VIH notifiés pour 100 000 habitants, stratifiés par situation<br />
géographique et par sexe, Honduras, 1997–2009<br />
Tasa por 100,000 habitantes<br />
70.0<br />
60.0<br />
50.0<br />
40.0<br />
30.0<br />
20.0<br />
10.0<br />
CN (1,2,5,11) - Mujer<br />
Resto - Mujer<br />
CN(1,2,5,11) - Hombre<br />
Resto - Hombre<br />
0.0<br />
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009<br />
Año<br />
CN: North Coast H: men and M: women<br />
Resto: rest of the country, mujer: women, hombre: men<br />
Source : Honduras National AIDS Programme: triangulation of national data, 2011.<br />
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