In many cities, human immunodeficiency virus (HIV)-1 seroprevalence among drug injectors stabilizes at 30–70 % for many years without secondary outbreaks that increase seroprevalence by 15 % or more.The authors considered how HIV-1 incidence can remain moderate at seroprevalence levels that would give maximum incidence. Previously suggested answers include behavioral risk reduction and network saturation within high-risk subgroups. Among 767 drug injectors studied in 1991–1993, during a period of stable high seroprevalence in New York City, risk behaviors remained common, and networks were far from saturated. The authors suggest a different network-based mechanism: in stable high-prevalence situations, the relatively small sizes of subnetwo...
CITATION: Williams, B. G. & Dye, C. 2018. Dynamics and control of infections on social networks of p...
HIV transmission among injecting and non-injecting drug users (IDU, NIDU) is a significant public he...
Inferring disease transmission networks is important in epidemiology in order to understand and prev...
As part of a network study of HIV infection among people who inject drugs (PWID) and their contacts,...
Background: Generalized heterosexual epidemics are responsible for the largest share of the global b...
Determining how network-level factors influence individual risk of human immunodeficiency virus (HIV...
INTRODUCTION:Concerns about risk compensation-increased risk behaviours in response to a perception ...
The transmission through contacts among MSM (men who have sex with men) is one of the dominating con...
In 2001, Friedman et al. conjectured the existence of a “firewall effect” in which individuals who a...
<div><p>Inferring disease transmission networks is important in epidemiology in order to understand ...
Introduction Concerns about risk compensation—increased risk behaviours in response to a percepti...
<div><p>Objective</p><p>To reconstruct the local HIV-1 transmission network from 1996 to 2011 and us...
ObjectiveTo reconstruct the local HIV-1 transmission network from 1996 to 2011 and use network data ...
Inferring disease transmission networks is important in epidemiology in order to understand and prev...
HIV transmission among injecting and non-injecting drug users (IDU, NIDU) is a significant public he...
CITATION: Williams, B. G. & Dye, C. 2018. Dynamics and control of infections on social networks of p...
HIV transmission among injecting and non-injecting drug users (IDU, NIDU) is a significant public he...
Inferring disease transmission networks is important in epidemiology in order to understand and prev...
As part of a network study of HIV infection among people who inject drugs (PWID) and their contacts,...
Background: Generalized heterosexual epidemics are responsible for the largest share of the global b...
Determining how network-level factors influence individual risk of human immunodeficiency virus (HIV...
INTRODUCTION:Concerns about risk compensation-increased risk behaviours in response to a perception ...
The transmission through contacts among MSM (men who have sex with men) is one of the dominating con...
In 2001, Friedman et al. conjectured the existence of a “firewall effect” in which individuals who a...
<div><p>Inferring disease transmission networks is important in epidemiology in order to understand ...
Introduction Concerns about risk compensation—increased risk behaviours in response to a percepti...
<div><p>Objective</p><p>To reconstruct the local HIV-1 transmission network from 1996 to 2011 and us...
ObjectiveTo reconstruct the local HIV-1 transmission network from 1996 to 2011 and use network data ...
Inferring disease transmission networks is important in epidemiology in order to understand and prev...
HIV transmission among injecting and non-injecting drug users (IDU, NIDU) is a significant public he...
CITATION: Williams, B. G. & Dye, C. 2018. Dynamics and control of infections on social networks of p...
HIV transmission among injecting and non-injecting drug users (IDU, NIDU) is a significant public he...
Inferring disease transmission networks is important in epidemiology in order to understand and prev...