Li, Yuruo
(2016)
Mathematical models of subpopulation-specific interactions for HIV transmission and control.
Master Essay, University of Pittsburgh.
![[img]](http://d-scholarship.pitt.edu/style/images/fileicons/application_msword.png) |
Microsoft Word
Submitted Version
Available under License : See the attached license file.
Download (559kB)
|
![[img]](http://d-scholarship.pitt.edu/style/images/fileicons/text_plain.png) |
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: |
|
Social Networking: |
|
Details
Item Type: |
Other Thesis, Dissertation, or Long Paper
(Master Essay)
|
Status: |
Unpublished |
Creators/Authors: |
Creators | Email | Pitt Username | ORCID ![](/images/orcid_id_24x24.png) |
---|
Li, Yuruo | | | |
|
Contributors: |
Contribution | Contributors Name | Email | Pitt Username | ORCID ![](/images/orcid_id_24x24.png) |
---|
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 View Item](/style/images/action_view.png) |
View Item |