The Interaction of Risk Network Structures and Virus Natural History in the Non- spreading of HIV Among People Who Inject Drugs in the Early Stages of the Epidemic.
This article explores how social network dynamics may have reduced the spread of HIV-1 infection among people who inject drugs during the early years of the epidemic. Stochastic, discrete event, agent-based simulations are used to test whether a 'firewall effect' can arise out of self-organizing pro...
| Publicado en: | AIDS & Behavior Vol. 21; no. 4; pp. 1004 - 1016 |
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| Autores principales: | , , , , , |
| Formato: | glossary research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121658335&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121658335 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10907165 G1T jtl: AIDS & Behavior issn: 10907165 maglogo: N pubinfo: dt: Apr2017 vid: 21 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 121658335 121658335 143949283 121658335 10.1007/s10461-016-1568-6 121658335 ppf: 1004 ppct: 12 formats: fmt: @attributes: type: P tig: atl: The Interaction of Risk Network Structures and Virus Natural History in the Non- spreading of HIV Among People Who Inject Drugs in the Early Stages of the Epidemic. aug: au: Dombrowski, Kirk Khan, Bilal Habecker, Patrick Hagan, Holly Friedman, Samuel Saad, Mohamed affil: Department of Sociology , University of Nebraska-Lincoln , 711 Oldfather Hall Lincoln 68588 USA sug: subj: HIV Infections Epidemiology HIV Infections Transmission Disease Outbreaks Social Networks Risk Taking Behavior Substance Abuse, Intravenous Persons Who Use Intravenous Drugs HIV-1 Transmission Models, Statistical Computer Simulation New York Epidemiological Research Viral Load Human ab: This article explores how social network dynamics may have reduced the spread of HIV-1 infection among people who inject drugs during the early years of the epidemic. Stochastic, discrete event, agent-based simulations are used to test whether a 'firewall effect' can arise out of self-organizing processes at the actor level, and whether such an effect can account for stable HIV prevalence rates below population saturation. Repeated simulation experiments show that, in the presence of recurring, acute, and highly infectious outbreaks, micro-network structures combine with the HIV virus's natural history to reduce the spread of the disease. These results indicate that network factors likely played a significant role in the prevention of HIV infection within injection risk networks during periods of peak prevalence. They also suggest that social forces that disturb network connections may diminish the natural firewall effect and result in higher rates of HIV. Este artículo explora cómo las dinámicas de redes sociales pueden haber reducido la propagación de la infección por VIH-1 entre las personas que se inyectan drogas durante los primeros años de la epidemia. Estocásticas, eventos discretos, las simulaciones basadas en agentes se utilizan para probar la de si un 'efecto cortafuegos' puede surgir de los procesos de auto-organización, al nivel de actor, y si este efecto puede dar cuenta de las tasas estables de la prevalencia del VIH por debajo de la saturación de la población. Repetidos experimentos de simulación muestran que, en la presencia de brotes recurrentes, agudos, y altamente infecciosos, las estructuras micro-red se combinan con la historia natural del virus del VIH para reducir la propagación de la enfermedad. Estos resultados indican que los factores de la red probablemente jugaron un papel importante en la prevención de la infección por el VIH dentro de las redes de riesgo de inyección durante los períodos de pico de prevalencia. Además, sugieren que las fuerzas sociales que perturban las conexiones de red pueden disminuir el efecto cortafuegos natural y resultan en tasas más altas de VIH. pubtype: Academic Journal doctype: glossary research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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