Transmission Network Analysis in Tuberculosis Contact Investigations
Author(s) -
Victoria J. Cook,
Sumi Sun,
J Tapia,
Stephen Q. Muth,
D. Fermín Argüello,
Bryan Lewis,
Richard B. Rothenberg,
Peter D. McElroy
Publication year - 2007
Publication title -
the journal of infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.69
H-Index - 252
eISSN - 1537-6613
pISSN - 0022-1899
DOI - 10.1086/523109
Subject(s) - tuberculosis , transmission (telecommunications) , mycobacterium tuberculosis , contact tracing , disease transmission , mycobacterium tuberculosis complex , infectious disease (medical specialty) , disease , medicine , virology , computer science , pathology , telecommunications , covid-19
Social network analysis (SNA) is an innovative approach to the collection and analysis of infectious disease transmission data. We studied whether this approach can detect patterns of Mycobacterium tuberculosis transmission and play a helpful role in the complex process of prioritizing tuberculosis (TB) contact investigations.
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