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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

Medicine and Health

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

K. Nagarajan, B. Palani, et al.

This study explored the social mixing patterns of tuberculosis (TB) patients who drink alcohol, revealing a concerning link between alcohol consumption and higher TB diagnosis rates. Conducted by Karikalan Nagarajan, Bharathidasan Palani, Javeed Basha, Lavanya Jayabal, and Malaisamy Muniyandi, the research redefines how social networks impact TB transmission in Chennai, India.

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Playback language: English
Abstract
This study investigated the social mixing patterns of tuberculosis (TB) patients who regularly consume alcohol using a quantitative social network approach. A social network survey of 300 newly diagnosed pulmonary drug-sensitive TB patients in Chennai, India, revealed that 52 (17%) male TB patients regularly shared alcohol with 106 (4%) of their first-degree social contacts in 16 neighborhood venues. Contacts with regular alcohol use had a higher TB diagnosis rate (12.3%) compared to those without (3.5%). Social network analysis showed that the network incorporating venues had stronger transmission potential than the patient-contact network alone.
Publisher
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS
Published On
May 16, 2022
Authors
Karikalan Nagarajan, Bharathidasan Palani, Javeed Basha, Lavanya Jayabal, Malaisamy Muniyandi
Tags
tuberculosis
alcohol consumption
social network analysis
transmission potential
public health
Chennai

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