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among injecting drug users.
These data suggest that implementing these interventions in just one community can turn in reducing HIV transmission
in five other communities.
Globally, the HIV epidemic among injecting drug users (PWID) is growing
at the fastest rate.
To explore ways to reduce HIV transmission in this population, Steven J.
Clipman and colleagues analyzed longitudinal social (injecting partner) and spatial (injection site) network data from 2,512 injecting drug users collected in New Delhi, India, between November 2017 and March 2020
。
The authors note that nearly every study participant (99 percent) was male and reflects the epidemiology of drug use in India rather than any inherent recruitment bias
.
The results showed that the longitudinal incidence of HIV was high, at 21.
3 cases per 100 person-years
.
Importantly, the modelling study revealed 7 different communities, with 70 percent of HIV study participants frequenting a particular site in one of the communities, and 84 percent having a separation of 1 degree or less
from the same site.
These results suggest that interventions deployed in this location can reach most people in this sample; The authors emphasize that if the findings translate to real-world results, it could revolutionize the design of HIV prevention and control programs to use deep learning to target interventions at key points in the network
.
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