title: Use of spatial information to predict multidrug resistance in tuberculosis patients, Peru.
abstract: To determine whether spatiotemporal information could help predict multidrug resistance at the time of tuberculosis diagnosis, we investigated tuberculosis patients who underwent drug susceptibility testing in Lima, Peru, during 2005-2007. We found that crude representation of spatial location at the level of the health center improved prediction of multidrug resistance.
authors.affiliation: Brigham and Women’s Hospital, Boston, Massachusetts, USA.
authors.forename: Hsien-Ho
authors.initials: HH
authors.lastname: Lin
authors.forename: Sonya S
authors.initials: SS
authors.lastname: Shin
authors.forename: Carmen
authors.initials: C
authors.lastname: Contreras
authors.forename: Luis
authors.initials: L
authors.lastname: Asencios
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: Paciorek
authors.forename: Ted
authors.initials: T
authors.lastname: Cohen
mesh_terms: D000995:Antitubercular Agents / Q000494:pharmacology / Q000627:therapeutic use*; D003710:Demography; D024901:Drug Resistance, Multiple, Bacterial; D006801:Humans; D016015:Logistic Models; D010568:Peru; D011379:Prognosis; D012372:ROC Curve; D012307:Risk Factors; D018088:Tuberculosis, Multidrug-Resistant / Q000175:diagnosis* / Q000188:drug therapy*
chemical_list: D000995:Antitubercular Agents