Mathematical models of subpopulation-specific interactions for HIV transmission and control

Li, Yuruo (2016) Mathematical models of subpopulation-specific interactions for HIV transmission and control. Master Essay, University of Pittsburgh.

	Microsoft Word Submitted Version Available under License : See the attached license file. Download (559kB)
	Plain Text (licence) Available under License : See the attached license file. Download (1kB)

Abstract

Background: The HIV epidemic has become the most serious health burden in the world. The primary mode of HIV transmission is unprotected sexual intercourse. It has been pointed out that human sexual behavior is one of the main drivers of the HIV epidemic. Modified compartmental models are mathematical models that divide the population into two or more subgroups according to various sexual behaviors. Modified compartmental models have been proven to be useful in describing the heterogeneity of the HIV-related sexual behaviors. Therefore, a review of current modified compartmental models of HIV behavior is necessary and important for public health research in further understanding and controlling the HIV epidemic. Method: I searched PubMed and EMBASE for modified compartmental models published from 2000 to 2015. Eighteen articles that contained fourteen unique models were included in the final review. These models described the heterogeneity of HIV-related sexual behaviors and assessed the potential intervention strategies based on the behavioral assumptions. I summarized and analyzed the distribution of study populations, subpopulation composition, key methodologies used in the models and the predicted impact of selected intervention strategies that were examined by the models. Conclusion: My results showed that high-risk individuals and steady sexual partnerships are more likely to transmit the infection compared to individuals in the general population and casual sexual partnerships. Intervention strategies focusing on the general population prevent more people from getting HIV, but more costly compared to the intervention strategies focusing on the high-risk individuals.

---

Share

Citation/Export:	Select format... Citation - Text Citation - HTML Endnote BibTex Dublin Core OpenURL MARC (ISO 2709) METS MODS EP3 XML Reference Manager Refer
Social Networking:	Share |

---

Details

Item Type:	Other Thesis, Dissertation, or Long Paper (Master Essay)
Status:	Unpublished
Creators/Authors:	Creators Email Pitt Username ORCID Li, Yuruo
Contributors:	Contribution Contributors Name Email Pitt Username ORCID Committee Chair Bodnar, Lisa bodnar@edc.pitt.edu BODNAR UNSPECIFIED Committee Member Haggerty, Catherine haggerty@pitt.edu HAGGERTY UNSPECIFIED Committee Member Mair, Christina cmair@pitt.edu CMAIR UNSPECIFIED
Date:	10 May 2016
Date Type:	Submission
Access Restriction:	No restriction; Release the ETD for access worldwide immediately.
Publisher:	University of Pittsburgh
Institution:	University of Pittsburgh
Schools and Programs:	School of Public Health > Epidemiology
Degree:	MPH - Master of Public Health
Thesis Type:	Master Essay
Refereed:	Yes
Date Deposited:	07 Sep 2016 19:53
Last Modified:	31 Jul 2024 10:55
URI:	http://d-scholarship.pitt.edu/id/eprint/27527

---

Metrics

Monthly Views for the past 3 years

Plum Analytics

---

Actions (login required)

View Item