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dc.contributor.author | Bui, David P. | |
dc.contributor.author | Oren, Eyal | |
dc.contributor.author | Roe, Denise J. | |
dc.contributor.author | Brown, Heidi E. | |
dc.contributor.author | Harris, Robin B. | |
dc.contributor.author | Knight, Gwenan M. | |
dc.contributor.author | Gilman, Robert Hugh | |
dc.contributor.author | Grandjean, Louis | |
dc.date.accessioned | 2018-11-30T02:09:28Z | |
dc.date.available | 2018-11-30T02:09:28Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12866/3984 | |
dc.description.abstract | Background: The majority of tuberculosis transmission occurs in community settings. The primary aim of this study was to assess the association between exposure to community venues and multidrug-resistant tuberculosis (MDR-TB) disease. The secondary aim was to describe the social networks of MDR-TB cases and controls. Methods: This case-control study was conducted in Lima, Peru. We recruited lab-confirmed MDR-TB cases and community controls matched on age and sex. Whole-genome sequencing was used to identify genetically-clustered cases. Venue-tracing interviews (nonblinded) were conducted to enumerate community venues frequented by participants. Logistic regression was used to assess the association between MDR-TB disease and person-time spent in community venues. A location-based social network was constructed with respondents connected if they reported frequenting the same venue and an exponential random graph model (ERGM) was fitted to model the network. Results: We enrolled 59 cases and 65 controls. Participants reported 729 unique venues. Mean number of venues reported was similar in both groups (P=0.92). Cases reported spending more person-time (hours) in healthcare and transportation venues than controls (P<0.05). Person-time in healthcare venues (Adjusted Odds Ratio (OR)=1.67, P=0.01), schools (OR=1.53, P<0.01), and transportation (OR=1.25, P=0.03) was associated with MDR-TB disease. Healthcare venues, markets, cinemas, and transportation venues were commonly shared among clustered cases. The ERGM indicated significant community segregation between cases and controls. Case networks were more densely connected. Conclusions: Exposure to healthcare venues, schools and transportation was associated with MDR-TB disease. Intervention across the segregated network of case venues may be necessary to effectively stem transmission. | en_US |
dc.language.iso | eng | |
dc.publisher | Oxford University Press | |
dc.relation.ispartofseries | Clinical Infectious Diseases | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es | |
dc.subject | multidrug-resistant | en_US |
dc.subject | tuberculosis | en_US |
dc.subject | social network | en_US |
dc.subject | genotyping | en_US |
dc.subject | community transmission | en_US |
dc.title | A case control study to identify community venues associated with genetically clustered Multidrug-resistant Tuberculosis disease in Lima, Peru | en_US |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | https://doi.org/10.1093/cid/ciy746 | |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#3.03.08 | |
dc.relation.issn | 1537-6591 |
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