Network modeling of sexually transmitted diseases

Chen, Yao-Hsuan

Title:

Network modeling of sexually transmitted diseases

dc.contributor.advisor	Sokol, Joel S.
dc.contributor.advisor	Tovey, Craig A.
dc.contributor.advisor	Goldsman, David
dc.contributor.advisor	Griffin, Paul
dc.contributor.advisor	Gift, Thomas L.
dc.contributor.author	Chen, Yao-Hsuan
dc.contributor.department	Industrial and Systems Engineering
dc.date.accessioned	2014-05-22T15:33:15Z
dc.date.available	2014-05-22T15:33:15Z
dc.date.created	2014-05
dc.date.issued	2014-04-04
dc.date.submitted	May 2014
dc.date.updated	2014-05-22T15:33:15Z
dc.description.abstract	We create a dynamic network model to replicate more closely the population network structures of interest. Network, Norms and HIV/STI Risk Among Youth (NNAHRAY) is a community relationship survey data set, which provides a rare sample of a human risky-behavior contact network. Combining disease compartmental models with our dynamic network model, we simulate the spread of Human Immunodeficiency Virus (HIV) and Herpes Simplex Type 2 Virus (HSV2) with consideration of HSV2's synergistic impact on HIV's transmission. Our model reproduces HIV prevalence, HSV-2 prevalence, and the contact network close to those observed in NNAHRAY, with HIV annual prevalence closer to the estimated values from the literature than those of any disease spread model based on static networks. The success of fitting our model to the target data shows the importance of considering the data sampling process, contact dynamics, and contact network structures. Our model, under certain conditions, has prevalence prediction results that are insensitive to changes in network size. The analysis of various prevention/intervention strategies targeting different risky groups gives important insights into strategy prioritization and illustrates how our model can be used to assist in making public health policy decisions in practice, both for individual diseases and in the more-recent area of study that considers synergy between two diseases.
dc.description.degree	Ph.D.
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/1853/51883
dc.publisher	Georgia Institute of Technology
dc.subject	Dynamic network model
dc.subject	Contact network
dc.subject	Sexually transmitted diseases
dc.subject.lcsh	Sexually transmitted disease
dc.subject.lcsh	Mathematical models
dc.title	Network modeling of sexually transmitted diseases
dc.type	Text
dc.type.genre	Dissertation
dspace.entity.type	Publication
local.contributor.advisor	Tovey, Craig A.
local.contributor.advisor	Goldsman, David
local.contributor.advisor	Sokol, Joel S.
local.contributor.corporatename	H. Milton Stewart School of Industrial and Systems Engineering
local.contributor.corporatename	College of Engineering
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thesis.degree.level	Doctoral