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Identifying locations of recent TB transmission in rural Uganda: a multidisciplinary approach
Author(s) -
Chamie Gabriel,
Wandera Bonnie,
Marquez Carina,
KatoMaeda Midori,
Kamya Moses R.,
Havlir Diane V.,
Charlebois Edwin D.
Publication year - 2015
Publication title -
tropical medicine and international health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 114
eISSN - 1365-3156
pISSN - 1360-2276
DOI - 10.1111/tmi.12459
Subject(s) - tuberculosis , transmission (telecommunications) , medicine , epidemiology , genotype , mycobacterium tuberculosis , residence , rural area , environmental health , demography , geography , biology , pathology , biochemistry , electrical engineering , sociology , engineering , gene
Objectives Targeting high Tuberculosis (TB) transmission sites may offer a novel approach to TB prevention in sub‐Saharan Africa. We sought to characterise TB transmission sites in a rural Ugandan township. Methods We recruited adults starting TB treatment in Tororo, Uganda, over 1 year. Fifty four TB cases provided names of frequent contacts, sites of residence, health care, work and social activities, and two sputum samples. Mycobacterium tuberculosis ( MTB ) culture‐positive specimens underwent spoligotyping to identify strains with shared genotypes. We visualised TB case social networks, and obtained, mapped and geo‐coded global positioning system measures for every location that cases reported frequenting 1 month before treatment. Locations of spatial overlap among genotype‐clustered cases were considered potential transmission sites. Results Six distinct genotypic clusters were identified involving 21 of 33 (64%) MTB culture‐positive, genotyped cases; none shared a home. Although 18 of 54 (33%) TB cases shared social network ties, none of the genotype‐clustered cases shared social ties. Using spatial analysis, we identified potential sites of within‐cluster TB transmission for five of six genotypic clusters. All sites but one were healthcare and social venues, including sites of drinking, worship and marketplaces. Cases reported spending the largest proportion of pre‐treatment person‐time (22.4%) at drinking venues. Conclusions Using molecular epidemiology, geospatial and social network data from adult TB cases identified at clinics, we quantified person‐time spent at high‐risk locations across a rural Ugandan community and determined the most likely sites of recent TB transmission to be healthcare and social venues. These sites may not have been identified using contact investigation alone.