A social networks-driven approach to understand the unique alcohol mixing patterns of tuberculosis patients: reporting methods and findings from a high TB-burden setting

A social networks-driven approach to understand the unique alcohol mixing patterns of tuberculosis patients: reporting methods and findings from a high TB-burden setting

Abstract Individuals who consume alcohol have a higher chance of contracting tuberculosis (TB) due to their social mixing patterns. We aimed to study the social mixing patterns of TB patients who consume alcohol on a regular basis using a quantitative social network approach. In a high-TB prevalence...

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Bibliographic Details
Main Authors: Karikalan Nagarajan, Bharathidasan Palani, Javeed Basha, Lavanya Jayabal, Malaisamy Muniyandi
Format: Article
Language:English
Published: Springer Nature 2022-05-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-022-01191-8

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