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Mathematical modeling of HIV prevention measures including pre-exposure prophylaxis on HIV incidence in South Korea.


ABSTRACT:

Background

Multiple prevention measures have the possibility of impacting HIV incidence in South Korea, including early diagnosis, early treatment, and pre-exposure prophylaxis (PrEP). We investigated how each of these interventions could impact the local HIV epidemic, especially among men who have sex with men (MSM), who have become the major risk group in South Korea. A mathematical model was used to estimate the effects of each these interventions on the HIV epidemic in South Korea over the next 40 years, as compared to the current situation.

Methods

We constructed a mathematical model of HIV infection among MSM in South Korea, dividing the MSM population into seven groups, and simulated the effects of early antiretroviral therapy (ART), early diagnosis, PrEP, and combination interventions on the incidence and prevalence of HIV infection, as compared to the current situation that would be expected without any new prevention measures.

Results

Overall, the model suggested that the most effective prevention measure would be PrEP. Even though PrEP effectiveness could be lessened by increased unsafe sex behavior, PrEP use was still more beneficial than the current situation. In the model, early diagnosis of HIV infection was also effectively decreased HIV incidence. However, early ART did not show considerable effectiveness. As expected, it would be most effective if all interventions (PrEP, early diagnosis and early treatment) were implemented together.

Conclusions

This model suggests that PrEP and early diagnosis could be a very effective way to reduce HIV incidence in South Korea among MSM.

SUBMITTER: Kim SB 

PROVIDER: S-EPMC3963840 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Mathematical modeling of HIV prevention measures including pre-exposure prophylaxis on HIV incidence in South Korea.

Kim Sun Bean SB   Yoon Myoungho M   Ku Nam Su NS   Kim Min Hyung MH   Song Je Eun JE   Ahn Jin Young JY   Jeong Su Jin SJ   Kim Changsoo C   Kwon Hee-Dae HD   Lee Jeehyun J   Smith Davey M DM   Choi Jun Yong JY  

PloS one 20140324 3


<h4>Background</h4>Multiple prevention measures have the possibility of impacting HIV incidence in South Korea, including early diagnosis, early treatment, and pre-exposure prophylaxis (PrEP). We investigated how each of these interventions could impact the local HIV epidemic, especially among men who have sex with men (MSM), who have become the major risk group in South Korea. A mathematical model was used to estimate the effects of each these interventions on the HIV epidemic in South Korea ov  ...[more]

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