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Mathematical and Stochastic Modeling...

Lee, Tae Jin.

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Mathematical and Stochastic Modeling of HIV Immunology and Epidemiology.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical and Stochastic Modeling of HIV Immunology and Epidemiology./
作者:	Lee, Tae Jin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	139 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Contained By:	Dissertation Abstracts International79-01B(E).
標題:	Applied mathematics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10617327
ISBN:	9780355159844

Mathematical and Stochastic Modeling of HIV Immunology and Epidemiology.
Lee, Tae Jin.

Mathematical and Stochastic Modeling of HIV Immunology and Epidemiology. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 139 p.

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.

Thesis (Ph.D.)--Augusta University, 2017.

In HIV virus dynamics, controlling of viral load and maintaining of CD4 value at a higher level are always primary goals for the providers. In recent years, a new molecule was discovered, namely, eCD4-Ig, which mimics CD4 if introduced into the human body and has potential to change existing HIV virus dynamics. Thus, to understand dynamics of viral load, eCD4-Ig, CD4 cells, we have developed mathematical models by incorporating interactions between this new molecule and other known immunological, virological information. We further investigated model based speculations for management, and obtained the level of eCD4-Ig required for elimination of virus. Next, we built epidemiological model for HIV spread and control among discordant couple through dynamics of PrEP (Pre-exposure prophylaxis). For this, an actuarial assumptions based stochastic model is used to obtain the mean remaining time of couple to stay as discordant. We generalized single hook-up/marriage stochastic model to multiple hook-up/marriage model.

ISBN: 9780355159844Subjects--Topical Terms:

2122814
Applied mathematics.

Mathematical and Stochastic Modeling of HIV Immunology and Epidemiology.
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