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Das, Bagavan
- Tuberculosis and Social Networks:A Narrative Review on How Social Network Data and Metrics Help Explain Tuberculosis Transmission
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Authors
Affiliations
1 Department of Health Economics, National Institute for Research in Tuberculosis, No. 1, Mayor Sathyamoorthy Road Chetpet, Chennai 600 031, IN
2 Department of Statistics, School of Public Health, SRM University Campus, Kattankulathur, Kancheepuram 603 203, IN
1 Department of Health Economics, National Institute for Research in Tuberculosis, No. 1, Mayor Sathyamoorthy Road Chetpet, Chennai 600 031, IN
2 Department of Statistics, School of Public Health, SRM University Campus, Kattankulathur, Kancheepuram 603 203, IN
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1068-1080Abstract
Social network data of tuberculosis (TB) patients could explain the source and pattern of disease spread. A review of the published literature highlights that social network data could identify hidden social or epidemiological links among TB patients and improved TB case finding. Index and betweenness position of patients explained TB transmission. Social networks of TB cases were centred in the hotspots of alcohol, substance uses, sexual activities and hospitals. Multiple sources of TB infection in the community were identified. The findings highlight the potential of social network methods for understanding TB spread in high-burden countries like India.Keywords
Epidemiological Links, Hotspots, Social Network Matrics, Transmission, Tuberculosis.Full Text
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