Title Information
Title
Network characteristics associated with rapid HIV transmission among people who inject drugs in a rural county in the United States: a modelling study
Abstract
Background: People who inject drugs (PWID) are at high-risk for acquiring HIV in the rural United States. In 2015, Scott County, Indiana experienced the largest HIV outbreak among PWID in a rural setting in the United States. Structural characteristics of injection drug use networks are of great importance to understanding the increasing incidence of HIV in this sub-population. Methods: We used an agent-based model to simulate HIV transmission in the combined sexual and injection drug use network in Scott County, Indiana. We calibrated the model based on observed values of Scott County and a rural, injection drug use population in Kentucky. We simulated the progression of HIV through Scott County with 1,000 iterations, allowing the stochasticity of the agent-based model to drive differences in the simulated network structures. We measured ten network metrics on each network to analyze how structural network characteristics affect the cumulative number of new HIV infections. Results: The model predicted 211 cumulative incident HIV infections (95% SI: 17–306) by the end of the five-year simulation period. Our primary finding is the strong, first order effect of main connected component size on the number of cumulative incident HIV infections. We predict that with every added individual to the main connected component, the number of incident infections will increase by 0.4524. Our secondary finding also revealed that decreases in the maximum degree of HIV infected agents at t = 0, main component density, and transitivity in the main component might result in less extreme epidemic behavior. Conclusion: Network structure characteristics unique to injection-drug use networks, such as a large main component, relatively high degree distributions, high density, and presence of high amounts of transitivity, put communities of PWID at a particularly high-risk for rapid HIV transmission. Prioritizing the development of network-based intervention strategies that address these characteristics, such as creating methods to identify individuals that bridge sub-populations of the network, is imperative in supporting the health of these communities.
Name: Personal
Name Part
Singleton, Alyson
Role
Role Term (marcrelator) (authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
creator
Name: Personal
Name Part
Harrison, Matthew
Role
Role Term (marcrelator) (authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/ths")
thesis advisor
Name: Personal
Name Part
Marhall, Brandon
Role
Role Term
reader
Name: Corporate
Name Part
Brown University. Applied Mathematics
Role
Role Term: Text
sponsor
Origin Information
Copyright Date
2019
Type of Resource
text
Physical Description
digitalOrigin
born digital
Language
Language Term: Text (ISO639-2B) (authorityURI="http://id.loc.gov/vocabulary/iso639-2.html", valueURI="http://id.loc.gov/vocabulary/iso639-2/eng")
English
Note: thesis
Senior thesis (ScB)--Brown University, 2019
Note (displayLabel="Concentration")
Applied Mathematics
Genre (aat)
theses
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01024369")
Topic
Modeling
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00949871")
Topic
HIV infections
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01736900")
Topic
Intravenous drug abusers
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00914079")
Topic
Epidemics
Identifier: DOI
10.26300/xz96-1p36
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In Copyright
Access Condition: restriction on access
Collection is open for research.