Understanding the Effects of Different HIV Transmission Models in Individual-based Microsimulation of HIV Epidemic Dynamics in People Who Inject Drugs

Overview

Journal Epidemiol Infect

Publisher Cambridge University Press

Specialties Infectious Diseases
Public Health

Date 2016 Jan 13

PMID 26753627

Citations 10

Authors

J F G Monteiro

D J Escudero

C Weinreb

T Flanigan

S Galea

S R Friedman

B D L Marshall

Affiliations

Soon will be listed here.

Abstract

We investigated how different models of HIV transmission, and assumptions regarding the distribution of unprotected sex and syringe-sharing events ('risk acts'), affect quantitative understanding of HIV transmission process in people who inject drugs (PWID). The individual-based model simulated HIV transmission in a dynamic sexual and injecting network representing New York City. We constructed four HIV transmission models: model 1, constant probabilities; model 2, random number of sexual and parenteral acts; model 3, viral load individual assigned; and model 4, two groups of partnerships (low and high risk). Overall, models with less heterogeneity were more sensitive to changes in numbers risk acts, producing HIV incidence up to four times higher than that empirically observed. Although all models overestimated HIV incidence, micro-simulations with greater heterogeneity in the HIV transmission modelling process produced more robust results and better reproduced empirical epidemic dynamics.

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