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Figure 1

From: Application of Bayesian networks to identify factors influencing acceptability of HIV pre-exposure prophylaxis in Guilin, China

Figure 1

Marginal probability distribution for the Bayesian network association of acceptability of PrEP. The figure was plotted by GeNIe (3.0). PI2 perceived image of user as public-minded, PP perceived privacy problem, PR2 perceived risk of side-effects, PR1 perceived risk of PrEP in increasing risk behavior, PU2 perceived utility of PrEP in reminding health awareness, PI1 perceived image of user as having sexual risky behavior, PEOU perceived ease of use, PU1 perceived utility of facilitating prevention of HIV, PCA2 perceived comparative advantage of having sex when the urge arises, PCA1 perceived comparative advantage over condom use, PI3 perceived image of user as health-conscious, PrEP Pre-exposure prophylaxis.

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