Does directly observed therapy (DOT) reduce drug resistant tuberculosis? View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-12

AUTHORS

Patrick K Moonan, Teresa N Quitugua, Janice M Pogoda, Gary Woo, Gerry Drewyer, Behzad Sahbazian, Denise Dunbar, Kenneth C Jost, Charles Wallace, Stephen E Weis

ABSTRACT

BACKGROUND: Directly observed therapy (DOT) is a widely recommended and promoted strategy to manage tuberculosis (TB), however, there is still disagreement about the role of DOT in TB control and the impact it has on reducing the acquisition and transmission of drug resistant TB. This study compares the portion of drug resistant genotype clusters, representing recent transmission, within and between communities implementing programs differing only in their directly observed therapy (DOT) practices. METHODS: Genotype clusters were defined as 2 or more patient members with matching IS6110 restriction fragment length polymorphism (RFLP) and spoligotype patterns from all culture-positive tuberculosis cases diagnosed between January 1, 1995 and December 31, 2001. Logistic regression was used to compute maximum-likelihood estimates of odds ratios (ORs) and 95% confidence intervals (CIs) comparing cluster members with and without drug resistant isolates. In the universal DOT county, all patients received doses under direct observation of health department staff; whereas in selective DOT county, the majority of received patients doses under direct observation of health department staff, while some were able to self-administer doses. RESULTS: Isolates from 1,706 persons collected during 1,721 episodes of tuberculosis were genotyped. Cluster members from the selective DOT county were more than twice as likely than cluster members from the universal DOT county to have at least one isolate resistant to isoniazid, rifampin, and/or ethambutol (OR = 2.3, 95% CI: 1.7, 3.1). Selective DOT county isolates were nearly 5 times more likely than universal DOT county isolates to belong to clusters with at least 2 resistant isolates having identical resistance patterns (OR = 4.7, 95% CI: 2.9, 7.6). CONCLUSIONS: Universal DOT for tuberculosis is associated with a decrease in the acquisition and transmission of resistant tuberculosis. More... »

PAGES

19

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2458-11-19

DOI

http://dx.doi.org/10.1186/1471-2458-11-19

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015743266

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21214913


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child, Preschool", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Directly Observed Therapy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Resistance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Logistic Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microbial Sensitivity Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Molecular Epidemiology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mycobacterium tuberculosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Texas", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tuberculosis", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centers for Disease Control and Prevention", 
          "id": "https://www.grid.ac/institutes/grid.416738.f", 
          "name": [
            "University of North Texas Health Science Center at Fort Worth, Department of Medicine, Fort Worth, TX, USA", 
            "Tarrant County Health Department, Fort Worth, TX, USA", 
            "Centers for Disease Control and Prevention, Atlanta, GA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moonan", 
        "givenName": "Patrick K", 
        "id": "sg:person.01364717457.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364717457.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Texas Health Science Center at San Antonio", 
          "id": "https://www.grid.ac/institutes/grid.267309.9", 
          "name": [
            "University of Texas Health Science Center at San Antonio, Department of Microbiology and Immunology, San Antonio, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Quitugua", 
        "givenName": "Teresa N", 
        "id": "sg:person.0617526676.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617526676.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of North Texas Health Science Center", 
          "id": "https://www.grid.ac/institutes/grid.266871.c", 
          "name": [
            "University of North Texas Health Science Center at Fort Worth, Department of Medicine, Fort Worth, TX, USA", 
            "Statology, Ventura, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pogoda", 
        "givenName": "Janice M", 
        "id": "sg:person.01222463724.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222463724.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dallas County", 
          "id": "https://www.grid.ac/institutes/grid.419444.8", 
          "name": [
            "Dallas County Health And Human Services, Dallas, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Woo", 
        "givenName": "Gary", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of North Texas Health Science Center", 
          "id": "https://www.grid.ac/institutes/grid.266871.c", 
          "name": [
            "University of North Texas Health Science Center at Fort Worth, Department of Medicine, Fort Worth, TX, USA", 
            "Tarrant County Health Department, Fort Worth, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Drewyer", 
        "givenName": "Gerry", 
        "id": "sg:person.0727224173.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727224173.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of North Texas Health Science Center", 
          "id": "https://www.grid.ac/institutes/grid.266871.c", 
          "name": [
            "University of North Texas Health Science Center at Fort Worth, Department of Medicine, Fort Worth, TX, USA", 
            "Tarrant County Health Department, Fort Worth, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sahbazian", 
        "givenName": "Behzad", 
        "id": "sg:person.01045372655.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045372655.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Texas Department of State Health Services", 
          "id": "https://www.grid.ac/institutes/grid.287260.9", 
          "name": [
            "Texas Department of State Health Services, Austin, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dunbar", 
        "givenName": "Denise", 
        "id": "sg:person.01113506055.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113506055.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Texas Department of State Health Services", 
          "id": "https://www.grid.ac/institutes/grid.287260.9", 
          "name": [
            "Texas Department of State Health Services, Austin, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jost", 
        "givenName": "Kenneth C", 
        "id": "sg:person.01247541550.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247541550.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Texas Department of State Health Services", 
          "id": "https://www.grid.ac/institutes/grid.287260.9", 
          "name": [
            "Texas Department of State Health Services, Austin, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wallace", 
        "givenName": "Charles", 
        "id": "sg:person.01227734455.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227734455.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Texas Department of State Health Services", 
          "id": "https://www.grid.ac/institutes/grid.287260.9", 
          "name": [
            "University of North Texas Health Science Center at Fort Worth, Department of Medicine, Fort Worth, TX, USA", 
            "Tarrant County Health Department, Fort Worth, TX, USA", 
            "Texas Department of State Health Services, Austin, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weis", 
        "givenName": "Stephen E", 
        "id": "sg:person.015412251637.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015412251637.64"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0140-6736(57)90006-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000284412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.76.6_supplement.741", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000604287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9343(96)00402-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001391695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-5231(05)70365-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002158815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199902043400506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002635058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(05)74812-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003061482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199302253280825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003068824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0923-2508(93)90023-u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003202621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0923-2508(93)90023-u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003202621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/ajrccm/147.5.1311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003807830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199404283301702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004078950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.287.6385.101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004306478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/14651858.cd003343", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006807604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.1995.03530120037038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007953097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.280.19.1702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008184308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.280.19.1679", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012183599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid0811.020403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014141954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1107/s0108270103027264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019594068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa012972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020457078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0002-9343(84)90697-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021916580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(95)91090-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022293451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(95)91090-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022293451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(98)04022-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024582891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199302253280802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026900723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(05)60739-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032229267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.1989.03420220087032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035242621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ccm.2005.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037493940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.40.8.2716-2724.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039050346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.279.12.943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040400270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(02)09742-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041254705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid0811.020296", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043543055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(99)02119-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046579590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.112.1.57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049346149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.283.19.2575", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053429343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.261.22.3273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054150083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2948420", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070145173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-76-3-112-6-397", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073729559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-76-3-112-6-407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073729560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074948146", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078308449", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080808252", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-12", 
    "datePublishedReg": "2011-12-01", 
    "description": "BACKGROUND: Directly observed therapy (DOT) is a widely recommended and promoted strategy to manage tuberculosis (TB), however, there is still disagreement about the role of DOT in TB control and the impact it has on reducing the acquisition and transmission of drug resistant TB. This study compares the portion of drug resistant genotype clusters, representing recent transmission, within and between communities implementing programs differing only in their directly observed therapy (DOT) practices.\nMETHODS: Genotype clusters were defined as 2 or more patient members with matching IS6110 restriction fragment length polymorphism (RFLP) and spoligotype patterns from all culture-positive tuberculosis cases diagnosed between January 1, 1995 and December 31, 2001. Logistic regression was used to compute maximum-likelihood estimates of odds ratios (ORs) and 95% confidence intervals (CIs) comparing cluster members with and without drug resistant isolates. In the universal DOT county, all patients received doses under direct observation of health department staff; whereas in selective DOT county, the majority of received patients doses under direct observation of health department staff, while some were able to self-administer doses.\nRESULTS: Isolates from 1,706 persons collected during 1,721 episodes of tuberculosis were genotyped. Cluster members from the selective DOT county were more than twice as likely than cluster members from the universal DOT county to have at least one isolate resistant to isoniazid, rifampin, and/or ethambutol (OR = 2.3, 95% CI: 1.7, 3.1). Selective DOT county isolates were nearly 5 times more likely than universal DOT county isolates to belong to clusters with at least 2 resistant isolates having identical resistance patterns (OR = 4.7, 95% CI: 2.9, 7.6).\nCONCLUSIONS: Universal DOT for tuberculosis is associated with a decrease in the acquisition and transmission of resistant tuberculosis.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2458-11-19", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024954", 
        "issn": [
          "1471-2458"
        ], 
        "name": "BMC Public Health", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "name": "Does directly observed therapy (DOT) reduce drug resistant tuberculosis?", 
    "pagination": "19", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4b02beca316140dea3b4fb27b7b0e757ed4662c8d29d87c5ad864c13d29952ff"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21214913"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968562"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2458-11-19"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1015743266"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2458-11-19", 
      "https://app.dimensions.ai/details/publication/pub.1015743266"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:36", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8687_00000511.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2458-11-19"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-11-19'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-11-19'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-11-19'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-11-19'


 

This table displays all metadata directly associated to this object as RDF triples.

334 TRIPLES      21 PREDICATES      86 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2458-11-19 schema:about N0ac7b0e95aaf48f189d826a66e18cac6
2 N115f3a9ddacf430bb5346e2c2fe81dda
3 N125bdc9f46404647beb56df0d02a1147
4 N14076396dab441dc8ac99fa3cfedd723
5 N2f50003fb1b647b19f7d92f9747ace3c
6 N3fb66a1d21a4461b957b901b3f0c50c7
7 N4f5f572db0cd4bd9b1a1d7702193baf8
8 N5c42bfcffcb140a3af39211bf652461b
9 N833742c60e6947e29f84ae873de7290a
10 N8c5eebfd72824ccc924d278f128af97e
11 Nb467e3efefeb45658678761c735d47d0
12 Nb8381f945d8243759e79aa12c1ea23ed
13 Nbe5b802bc6d4488c9fe9706f4759d853
14 Nbec573cfa3c446f79f6613c412c733e3
15 Nde81690eaea14d8bb8fdf57447b05db4
16 Neadac31a35ed468c808aa453b7dc594e
17 Ned6cf8fc974f4a73a01994c271efa72a
18 Nf011f5d64242406ca41af659cbbd1a11
19 anzsrc-for:11
20 anzsrc-for:1117
21 schema:author Na59a3be991594b1cb671022e5529a8a9
22 schema:citation https://app.dimensions.ai/details/publication/pub.1074948146
23 https://app.dimensions.ai/details/publication/pub.1078308449
24 https://app.dimensions.ai/details/publication/pub.1080808252
25 https://doi.org/10.1001/jama.1989.03420220087032
26 https://doi.org/10.1001/jama.1995.03530120037038
27 https://doi.org/10.1001/jama.261.22.3273
28 https://doi.org/10.1001/jama.279.12.943
29 https://doi.org/10.1001/jama.280.19.1679
30 https://doi.org/10.1001/jama.280.19.1702
31 https://doi.org/10.1001/jama.283.19.2575
32 https://doi.org/10.1002/14651858.cd003343
33 https://doi.org/10.1016/0002-9343(84)90697-1
34 https://doi.org/10.1016/0923-2508(93)90023-u
35 https://doi.org/10.1016/j.ccm.2005.02.011
36 https://doi.org/10.1016/s0002-9343(96)00402-0
37 https://doi.org/10.1016/s0140-6736(02)09742-8
38 https://doi.org/10.1016/s0140-6736(05)60739-8
39 https://doi.org/10.1016/s0140-6736(05)74812-1
40 https://doi.org/10.1016/s0140-6736(57)90006-5
41 https://doi.org/10.1016/s0140-6736(95)91090-5
42 https://doi.org/10.1016/s0140-6736(98)04022-7
43 https://doi.org/10.1016/s0140-6736(99)02119-4
44 https://doi.org/10.1016/s0272-5231(05)70365-8
45 https://doi.org/10.1056/nejm199302253280802
46 https://doi.org/10.1056/nejm199302253280825
47 https://doi.org/10.1056/nejm199404283301702
48 https://doi.org/10.1056/nejm199902043400506
49 https://doi.org/10.1056/nejmoa012972
50 https://doi.org/10.1107/s0108270103027264
51 https://doi.org/10.1128/jcm.40.8.2716-2724.2002
52 https://doi.org/10.1136/bmj.287.6385.101
53 https://doi.org/10.1164/ajrccm/147.5.1311
54 https://doi.org/10.1378/chest.112.1.57
55 https://doi.org/10.1378/chest.76.6_supplement.741
56 https://doi.org/10.2307/2948420
57 https://doi.org/10.3201/eid0811.020296
58 https://doi.org/10.3201/eid0811.020403
59 https://doi.org/10.7326/0003-4819-76-3-112-6-397
60 https://doi.org/10.7326/0003-4819-76-3-112-6-407
61 schema:datePublished 2011-12
62 schema:datePublishedReg 2011-12-01
63 schema:description BACKGROUND: Directly observed therapy (DOT) is a widely recommended and promoted strategy to manage tuberculosis (TB), however, there is still disagreement about the role of DOT in TB control and the impact it has on reducing the acquisition and transmission of drug resistant TB. This study compares the portion of drug resistant genotype clusters, representing recent transmission, within and between communities implementing programs differing only in their directly observed therapy (DOT) practices. METHODS: Genotype clusters were defined as 2 or more patient members with matching IS6110 restriction fragment length polymorphism (RFLP) and spoligotype patterns from all culture-positive tuberculosis cases diagnosed between January 1, 1995 and December 31, 2001. Logistic regression was used to compute maximum-likelihood estimates of odds ratios (ORs) and 95% confidence intervals (CIs) comparing cluster members with and without drug resistant isolates. In the universal DOT county, all patients received doses under direct observation of health department staff; whereas in selective DOT county, the majority of received patients doses under direct observation of health department staff, while some were able to self-administer doses. RESULTS: Isolates from 1,706 persons collected during 1,721 episodes of tuberculosis were genotyped. Cluster members from the selective DOT county were more than twice as likely than cluster members from the universal DOT county to have at least one isolate resistant to isoniazid, rifampin, and/or ethambutol (OR = 2.3, 95% CI: 1.7, 3.1). Selective DOT county isolates were nearly 5 times more likely than universal DOT county isolates to belong to clusters with at least 2 resistant isolates having identical resistance patterns (OR = 4.7, 95% CI: 2.9, 7.6). CONCLUSIONS: Universal DOT for tuberculosis is associated with a decrease in the acquisition and transmission of resistant tuberculosis.
64 schema:genre research_article
65 schema:inLanguage en
66 schema:isAccessibleForFree true
67 schema:isPartOf N14ee2b49c4674023bf2d55e92a87ba7d
68 Nc6643b665c93419187755fa45fb62bf3
69 sg:journal.1024954
70 schema:name Does directly observed therapy (DOT) reduce drug resistant tuberculosis?
71 schema:pagination 19
72 schema:productId N0278f61a3214458d92436dca2f0b5df7
73 N19467103a9f94d77971dc38901306dc6
74 N3c04102d4ce34f4b8933b3f78621d36f
75 N7a2ad02ce1a5463ab86b849f9363f1db
76 Na1f6bcd1b79a432f8335656b79de17d4
77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015743266
78 https://doi.org/10.1186/1471-2458-11-19
79 schema:sdDatePublished 2019-04-10T21:36
80 schema:sdLicense https://scigraph.springernature.com/explorer/license/
81 schema:sdPublisher N50bcb35165ab4701879796ebdcb57bb9
82 schema:url http://link.springer.com/10.1186%2F1471-2458-11-19
83 sgo:license sg:explorer/license/
84 sgo:sdDataset articles
85 rdf:type schema:ScholarlyArticle
86 N0278f61a3214458d92436dca2f0b5df7 schema:name doi
87 schema:value 10.1186/1471-2458-11-19
88 rdf:type schema:PropertyValue
89 N0ac7b0e95aaf48f189d826a66e18cac6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Male
91 rdf:type schema:DefinedTerm
92 N115f3a9ddacf430bb5346e2c2fe81dda schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Female
94 rdf:type schema:DefinedTerm
95 N125bdc9f46404647beb56df0d02a1147 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Texas
97 rdf:type schema:DefinedTerm
98 N12e50e8d976a422ead030fa812df4470 rdf:first sg:person.01045372655.46
99 rdf:rest N4536b4278e3a49289444d8003d1ddcdb
100 N13e18c9589d1456d98d49af538231796 schema:affiliation https://www.grid.ac/institutes/grid.419444.8
101 schema:familyName Woo
102 schema:givenName Gary
103 rdf:type schema:Person
104 N14076396dab441dc8ac99fa3cfedd723 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Child, Preschool
106 rdf:type schema:DefinedTerm
107 N14ee2b49c4674023bf2d55e92a87ba7d schema:volumeNumber 11
108 rdf:type schema:PublicationVolume
109 N19467103a9f94d77971dc38901306dc6 schema:name pubmed_id
110 schema:value 21214913
111 rdf:type schema:PropertyValue
112 N2f4235b311084251a90e8f204a285e12 rdf:first sg:person.01222463724.54
113 rdf:rest N536ef5a963f44d4a97181a4de20419eb
114 N2f50003fb1b647b19f7d92f9747ace3c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Genotype
116 rdf:type schema:DefinedTerm
117 N3c04102d4ce34f4b8933b3f78621d36f schema:name nlm_unique_id
118 schema:value 100968562
119 rdf:type schema:PropertyValue
120 N3fb66a1d21a4461b957b901b3f0c50c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Logistic Models
122 rdf:type schema:DefinedTerm
123 N4536b4278e3a49289444d8003d1ddcdb rdf:first sg:person.01113506055.51
124 rdf:rest N5caba98ae9fa497e9bb9010cf0b6a976
125 N4f5f572db0cd4bd9b1a1d7702193baf8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Tuberculosis
127 rdf:type schema:DefinedTerm
128 N50bcb35165ab4701879796ebdcb57bb9 schema:name Springer Nature - SN SciGraph project
129 rdf:type schema:Organization
130 N536ef5a963f44d4a97181a4de20419eb rdf:first N13e18c9589d1456d98d49af538231796
131 rdf:rest Nf0a3a9cc0aa446059862ac2ff5389de1
132 N5c42bfcffcb140a3af39211bf652461b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Cluster Analysis
134 rdf:type schema:DefinedTerm
135 N5caba98ae9fa497e9bb9010cf0b6a976 rdf:first sg:person.01247541550.39
136 rdf:rest N8fd47cab599343c4bbec75f7c905c8f3
137 N7a2ad02ce1a5463ab86b849f9363f1db schema:name readcube_id
138 schema:value 4b02beca316140dea3b4fb27b7b0e757ed4662c8d29d87c5ad864c13d29952ff
139 rdf:type schema:PropertyValue
140 N833742c60e6947e29f84ae873de7290a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Microbial Sensitivity Tests
142 rdf:type schema:DefinedTerm
143 N8c5eebfd72824ccc924d278f128af97e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Directly Observed Therapy
145 rdf:type schema:DefinedTerm
146 N8fd47cab599343c4bbec75f7c905c8f3 rdf:first sg:person.01227734455.11
147 rdf:rest N9edd52d05900423bbcc2989a7029c006
148 N9edd52d05900423bbcc2989a7029c006 rdf:first sg:person.015412251637.64
149 rdf:rest rdf:nil
150 Na1f6bcd1b79a432f8335656b79de17d4 schema:name dimensions_id
151 schema:value pub.1015743266
152 rdf:type schema:PropertyValue
153 Na59a3be991594b1cb671022e5529a8a9 rdf:first sg:person.01364717457.49
154 rdf:rest Naaaeb71e26a04809aefad7c3451bddad
155 Naaaeb71e26a04809aefad7c3451bddad rdf:first sg:person.0617526676.24
156 rdf:rest N2f4235b311084251a90e8f204a285e12
157 Nb467e3efefeb45658678761c735d47d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Drug Resistance
159 rdf:type schema:DefinedTerm
160 Nb8381f945d8243759e79aa12c1ea23ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Child
162 rdf:type schema:DefinedTerm
163 Nbe5b802bc6d4488c9fe9706f4759d853 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Aged
165 rdf:type schema:DefinedTerm
166 Nbec573cfa3c446f79f6613c412c733e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Mycobacterium tuberculosis
168 rdf:type schema:DefinedTerm
169 Nc6643b665c93419187755fa45fb62bf3 schema:issueNumber 1
170 rdf:type schema:PublicationIssue
171 Nde81690eaea14d8bb8fdf57447b05db4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Molecular Epidemiology
173 rdf:type schema:DefinedTerm
174 Neadac31a35ed468c808aa453b7dc594e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Middle Aged
176 rdf:type schema:DefinedTerm
177 Ned6cf8fc974f4a73a01994c271efa72a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Adult
179 rdf:type schema:DefinedTerm
180 Nf011f5d64242406ca41af659cbbd1a11 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Humans
182 rdf:type schema:DefinedTerm
183 Nf0a3a9cc0aa446059862ac2ff5389de1 rdf:first sg:person.0727224173.94
184 rdf:rest N12e50e8d976a422ead030fa812df4470
185 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
186 schema:name Medical and Health Sciences
187 rdf:type schema:DefinedTerm
188 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
189 schema:name Public Health and Health Services
190 rdf:type schema:DefinedTerm
191 sg:journal.1024954 schema:issn 1471-2458
192 schema:name BMC Public Health
193 rdf:type schema:Periodical
194 sg:person.01045372655.46 schema:affiliation https://www.grid.ac/institutes/grid.266871.c
195 schema:familyName Sahbazian
196 schema:givenName Behzad
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045372655.46
198 rdf:type schema:Person
199 sg:person.01113506055.51 schema:affiliation https://www.grid.ac/institutes/grid.287260.9
200 schema:familyName Dunbar
201 schema:givenName Denise
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113506055.51
203 rdf:type schema:Person
204 sg:person.01222463724.54 schema:affiliation https://www.grid.ac/institutes/grid.266871.c
205 schema:familyName Pogoda
206 schema:givenName Janice M
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222463724.54
208 rdf:type schema:Person
209 sg:person.01227734455.11 schema:affiliation https://www.grid.ac/institutes/grid.287260.9
210 schema:familyName Wallace
211 schema:givenName Charles
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227734455.11
213 rdf:type schema:Person
214 sg:person.01247541550.39 schema:affiliation https://www.grid.ac/institutes/grid.287260.9
215 schema:familyName Jost
216 schema:givenName Kenneth C
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247541550.39
218 rdf:type schema:Person
219 sg:person.01364717457.49 schema:affiliation https://www.grid.ac/institutes/grid.416738.f
220 schema:familyName Moonan
221 schema:givenName Patrick K
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364717457.49
223 rdf:type schema:Person
224 sg:person.015412251637.64 schema:affiliation https://www.grid.ac/institutes/grid.287260.9
225 schema:familyName Weis
226 schema:givenName Stephen E
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015412251637.64
228 rdf:type schema:Person
229 sg:person.0617526676.24 schema:affiliation https://www.grid.ac/institutes/grid.267309.9
230 schema:familyName Quitugua
231 schema:givenName Teresa N
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617526676.24
233 rdf:type schema:Person
234 sg:person.0727224173.94 schema:affiliation https://www.grid.ac/institutes/grid.266871.c
235 schema:familyName Drewyer
236 schema:givenName Gerry
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727224173.94
238 rdf:type schema:Person
239 https://app.dimensions.ai/details/publication/pub.1074948146 schema:CreativeWork
240 https://app.dimensions.ai/details/publication/pub.1078308449 schema:CreativeWork
241 https://app.dimensions.ai/details/publication/pub.1080808252 schema:CreativeWork
242 https://doi.org/10.1001/jama.1989.03420220087032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035242621
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1001/jama.1995.03530120037038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007953097
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1001/jama.261.22.3273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054150083
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1001/jama.279.12.943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040400270
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1001/jama.280.19.1679 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012183599
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1001/jama.280.19.1702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008184308
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1001/jama.283.19.2575 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053429343
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1002/14651858.cd003343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006807604
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1016/0002-9343(84)90697-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021916580
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1016/0923-2508(93)90023-u schema:sameAs https://app.dimensions.ai/details/publication/pub.1003202621
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1016/j.ccm.2005.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037493940
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1016/s0002-9343(96)00402-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001391695
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1016/s0140-6736(02)09742-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041254705
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1016/s0140-6736(05)60739-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032229267
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1016/s0140-6736(05)74812-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003061482
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1016/s0140-6736(57)90006-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000284412
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1016/s0140-6736(95)91090-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022293451
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1016/s0140-6736(98)04022-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024582891
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1016/s0140-6736(99)02119-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046579590
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1016/s0272-5231(05)70365-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002158815
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1056/nejm199302253280802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026900723
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1056/nejm199302253280825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003068824
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1056/nejm199404283301702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004078950
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1056/nejm199902043400506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002635058
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1056/nejmoa012972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020457078
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1107/s0108270103027264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019594068
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1128/jcm.40.8.2716-2724.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039050346
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1136/bmj.287.6385.101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004306478
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1164/ajrccm/147.5.1311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003807830
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1378/chest.112.1.57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049346149
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1378/chest.76.6_supplement.741 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000604287
303 rdf:type schema:CreativeWork
304 https://doi.org/10.2307/2948420 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070145173
305 rdf:type schema:CreativeWork
306 https://doi.org/10.3201/eid0811.020296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043543055
307 rdf:type schema:CreativeWork
308 https://doi.org/10.3201/eid0811.020403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014141954
309 rdf:type schema:CreativeWork
310 https://doi.org/10.7326/0003-4819-76-3-112-6-397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073729559
311 rdf:type schema:CreativeWork
312 https://doi.org/10.7326/0003-4819-76-3-112-6-407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073729560
313 rdf:type schema:CreativeWork
314 https://www.grid.ac/institutes/grid.266871.c schema:alternateName University of North Texas Health Science Center
315 schema:name Statology, Ventura, CA, USA
316 Tarrant County Health Department, Fort Worth, TX, USA
317 University of North Texas Health Science Center at Fort Worth, Department of Medicine, Fort Worth, TX, USA
318 rdf:type schema:Organization
319 https://www.grid.ac/institutes/grid.267309.9 schema:alternateName The University of Texas Health Science Center at San Antonio
320 schema:name University of Texas Health Science Center at San Antonio, Department of Microbiology and Immunology, San Antonio, TX, USA
321 rdf:type schema:Organization
322 https://www.grid.ac/institutes/grid.287260.9 schema:alternateName Texas Department of State Health Services
323 schema:name Tarrant County Health Department, Fort Worth, TX, USA
324 Texas Department of State Health Services, Austin, TX, USA
325 University of North Texas Health Science Center at Fort Worth, Department of Medicine, Fort Worth, TX, USA
326 rdf:type schema:Organization
327 https://www.grid.ac/institutes/grid.416738.f schema:alternateName Centers for Disease Control and Prevention
328 schema:name Centers for Disease Control and Prevention, Atlanta, GA, USA
329 Tarrant County Health Department, Fort Worth, TX, USA
330 University of North Texas Health Science Center at Fort Worth, Department of Medicine, Fort Worth, TX, USA
331 rdf:type schema:Organization
332 https://www.grid.ac/institutes/grid.419444.8 schema:alternateName Dallas County
333 schema:name Dallas County Health And Human Services, Dallas, TX, USA
334 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...