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 |
|