Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response-Reference-Cited by-同舟云学术

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Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response

Published:2020 Issue: Volume:148 Page:
ISSN:0950-2688
Container-title:Epidemiology and Infection
language:en
Short-container-title:Epidemiol. Infect.

Author:

Trickey A.^ORCID,Sood A.,Midha V.,Thompson W.,Vellozzi C.,Shadaker S.,Surlikar V.,Kanchi S.,Vickerman P.,May M. T.,Averhoff F.

Publisher

Cambridge University Press (CUP)

Subject

Infectious Diseases,Epidemiology

Reference7 articles.

1. The contribution of injection drug use to hepatitis C virus transmission globally, regionally, and at country level: a modelling study

2. Alarming epidemics of human immunodeficiency virus and hepatitis C virus among injection drug users in the northwestern bordering state of Punjab, India: prevalence and correlates

3. Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies;Rao;Epidemiology and Infection,2020

4. Impact of Hepatitis C Treatment as Prevention for People Who Inject Drugs is sensitive to contact network structure

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