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They estimated the probability that each person had acquired HIV during the previous year from any sexual partner and divided these into infections acquired prom the primary partner and extra-marital partners. Find out more in our About HIV pages As in all mathematical models, the results obtained depend on the assumptions fed in.

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In this model, the authors did not attempt to reflect real-world scenarios exactly. They asked themselves: if you take a sample of serodiscordant couples, both cohabiting and non-cohabiting, casual and regular, what are the chances that over the course of the year, the positive person passes on their HIV to the negative one? Importantly, they assumed for the sake of simplicity that couples where both partners were HIV-negative stayed that way during the year, and so excluded the effect of new incident infections in one partner.

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And finally, they assumed that the positive partner was undiagnosed. These differences may reflect different cultural patterns or just the way researchers asked the question. The vast majority had only one partner during the year, whether cohabiting or non-cohabiting, and the proportion who reported one cohabiting partner closely tracked the proportion of people who reported that they were married or living together.

The way the surveys were conducted could not rule out that a proportion of these people had one martial partner and one regular non-marital one. The DHS surveys only asked about condom use at last sex, so these figures may overestimate consistent condom use. Therefore, in somewhat more relationships it was the woman who was positive, which reflects demographics, and serodiscordance was somewhat more common in non-marital or quasi-marital relationships.

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