期刊
JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES
卷 47, 期 -, 页码 S34-S39出版社
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/QAI.0b013e3181605da3
关键词
AIDS; microsimulation; prevention
资金
- NIAID NIH HHS [P30 AI27757, P30 AI027757] Funding Source: Medline
- NICHD NIH HHS [R24 HD042828, K99 HD057553, K01 HD057246, R24 HD042828-10, R01 HD041877] Funding Source: Medline
- NIDA NIH HHS [R01 DA012831] Funding Source: Medline
HIV researchers have long appreciated the need to understand the social and behavioral determinants of HIV-related risk behavior, but the cumulative impact of individual behaviors on population-level HIV outcomes can be subtle and counterintuitive, and the methods for studying this are rarely part of a traditional social science or epidemiology training program. Mathematical models provide a way to examine the potential effects of the proximate biologic and behavioral determinants of HIV transmission dynamics, alone and in combination. The purpose of this article is to show how mathematical modeling studies have contributed to our understanding of the dynamics and disparities in the global spread of HIV Our aims are to demonstrate the value that these analytic tools have for social and behavioral sciences in HIV prevention research, to identify gaps in the current literature, and to suggest directions for future research.
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