{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T07:11:48Z","timestamp":1763017908863,"version":"3.37.3"},"reference-count":39,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2018,9,5]],"date-time":"2018-09-05T00:00:00Z","timestamp":1536105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,4,24]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>The majority of tuberculosis transmission occurs in community settings. Our primary aim in this study was to assess the association between exposure to community venues and multidrug-resistant (MDR) tuberculosis. Our secondary aim was to describe the social networks of MDR tuberculosis cases and controls.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We recruited laboratory-confirmed MDR tuberculosis cases and community controls that were 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 tuberculosis 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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We enrolled 59 cases and 65 controls. Participants reported 729 unique venues. The mean number of venues reported was similar in both groups (P = .92). Person-time in healthcare venues (adjusted odds ratio [aOR] = 1.67, P = .01), schools (aOR = 1.53, P &amp;lt; .01), and transportation venues (aOR = 1.25, P = .03) was associated with MDR tuberculosis. 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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Exposure to healthcare venues, schools, and transportation venues was associated with MDR tuberculosis. Intervention across the segregated network of case venues may be necessary to effectively stem transmission.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/cid\/ciy746","type":"journal-article","created":{"date-parts":[[2018,8,25]],"date-time":"2018-08-25T03:58:49Z","timestamp":1535169529000},"page":"1547-1555","source":"Crossref","is-referenced-by-count":10,"title":["A Case-Control Study to Identify Community Venues Associated with Genetically-clustered, Multidrug-resistant Tuberculosis Disease in Lima, Peru"],"prefix":"10.1093","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0861-0850","authenticated-orcid":false,"given":"David P","family":"Bui","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eyal","family":"Oren","sequence":"first","affiliation":[{"name":"School of Public Health, San Diego State University, California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Denise J","family":"Roe","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heidi E","family":"Brown","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robin B","family":"Harris","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gwenan M","family":"Knight","sequence":"first","affiliation":[{"name":"London School of Hygiene and Tropical Medicine, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert H","family":"Gilman","sequence":"first","affiliation":[{"name":"Universidad Peruana Cayetano Heredia, Lima, Peru"},{"name":"Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Louis","family":"Grandjean","sequence":"first","affiliation":[{"name":"London School of Hygiene and Tropical Medicine, United Kingdom"},{"name":"Universidad Peruana Cayetano Heredia, Lima, Peru"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2018,9,5]]},"reference":[{"key":"2020042406354965800_CIT0001","doi-asserted-by":"crossref","first-page":"1493","DOI":"10.1086\/587904","article-title":"Multidrug-resistant and extensively drug-resistant tuberculosis: the National Institute of Allergy and Infectious Diseases Research agenda and recommendations for priority 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