Ontology type: schema:ScholarlyArticle
2004-12
AUTHORSMitchell J. Schwaber, Tali De-Medina, Yehuda Carmeli
ABSTRACTAntimicrobial resistance is an emerging public-health threat. Studies of the relationship between antibiotic use and resistance, as well as surveillance programmes, examine changes in the proportion of isolates that are resistant. Although proportions are helpful to the clinician prescribing empirical therapy, proportion-based analyses can be misleading to the public-health professional as they can yield biased estimates. Proportions do not adequately reflect the burden of resistance, a measure often of interest in public health. A more appropriate measure of this burden is the rate of isolation of resistant organisms, that is, the absolute number of resistant isolates in a population over time. More... »
PAGES979-983
http://scigraph.springernature.com/pub.10.1038/nrmicro1047
DOIhttp://dx.doi.org/10.1038/nrmicro1047
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1020160327
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/15550943
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": "Anti-Bacterial Agents",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Bacteria",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Bacterial Infections",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Drug Resistance",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Microbial Sensitivity Tests",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Population Surveillance",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Total Quality Management",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Tel Aviv Sourasky Medical Center",
"id": "https://www.grid.ac/institutes/grid.413449.f",
"name": [
"Mitchell J. Schwaber and Tali De-Medina are at the Division of Epidemiology, Tel Aviv Sourasky Medical Center, Tel Aviv 64239, Israel."
],
"type": "Organization"
},
"familyName": "Schwaber",
"givenName": "Mitchell J.",
"id": "sg:person.0625750372.35",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0625750372.35"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Tel Aviv Sourasky Medical Center",
"id": "https://www.grid.ac/institutes/grid.413449.f",
"name": [
"Mitchell J. Schwaber and Tali De-Medina are at the Division of Epidemiology, Tel Aviv Sourasky Medical Center, Tel Aviv 64239, Israel."
],
"type": "Organization"
},
"familyName": "De-Medina",
"givenName": "Tali",
"id": "sg:person.01327740161.19",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327740161.19"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Yehuda Carmeli is at the Division of Epidemiology, Tel Aviv Sourasky Medical Center, Tel Aviv 64239, Israel, and the Division of Infectious Diseases, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA."
],
"type": "Organization"
},
"familyName": "Carmeli",
"givenName": "Yehuda",
"id": "sg:person.01262131072.74",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262131072.74"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1186/1476-0711-3-14",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003369045",
"https://doi.org/10.1186/1476-0711-3-14"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3201/eid0807.010465",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008348259"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.amjmed.2003.07.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008760702"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0732-8893(01)00317-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012547202"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jac/dkg321",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012995876"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/archinte.162.2.185",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016213658"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/421946",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016269125"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.diagmicrobio.2004.03.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018365270"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/jama.280.14.1233",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020404092"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0732-8893(01)00321-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020594368"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/jama.289.7.885",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021242177"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1067/mic.2002.124937",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022090198"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1067/mic.2002.124937",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022090198"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nm839",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023255631",
"https://doi.org/10.1038/nm839"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nm839",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023255631",
"https://doi.org/10.1038/nm839"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.97.4.1938",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023275022"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1053/jhin.2000.0798",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026536289"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00001648-199109000-00010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028838544"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00001648-199109000-00010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028838544"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/jech.47.5.430",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029944308"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3201/eid0805.010204",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035114657"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3201/eid1006.020665",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036085858"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/archinte.1985.00360090089015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036750418"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jac/dkh214",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036810175"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1128/aac.48.7.2464-2470.2004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037470571"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0272-5231(05)70143-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037687028"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0272-5231(05)70143-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037687028"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0732-8893(02)00467-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038297402"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0732-8893(02)00467-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038297402"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1378/chest.118.1.146",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039026356"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1378/chest.118.1.146",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039026356"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jac/dkh163",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040029833"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/345476",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040066721"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1473-3099(01)00120-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043984537"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/jama.292.6.716",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044555767"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3201/eid0803.010192",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044850997"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1053/jhin.2001.1151",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048949720"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/379709",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050090949"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1198-743x.2004.00887.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051972421"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jac/dkf807",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052247299"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/archinte.145.9.1621",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1054110881"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2807/esm.06.01.00226-en",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074946799"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1075287270",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1128/aac.42.7.1762",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083290030"
],
"type": "CreativeWork"
}
],
"datePublished": "2004-12",
"datePublishedReg": "2004-12-01",
"description": "Antimicrobial resistance is an emerging public-health threat. Studies of the relationship between antibiotic use and resistance, as well as surveillance programmes, examine changes in the proportion of isolates that are resistant. Although proportions are helpful to the clinician prescribing empirical therapy, proportion-based analyses can be misleading to the public-health professional as they can yield biased estimates. Proportions do not adequately reflect the burden of resistance, a measure often of interest in public health. A more appropriate measure of this burden is the rate of isolation of resistant organisms, that is, the absolute number of resistant isolates in a population over time.",
"genre": "research_article",
"id": "sg:pub.10.1038/nrmicro1047",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1032854",
"issn": [
"1740-1526",
"1740-1534"
],
"name": "Nature Reviews Microbiology",
"type": "Periodical"
},
{
"issueNumber": "12",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "2"
}
],
"name": "Epidemiological interpretation of antibiotic resistance studies \u2013 what are we missing?",
"pagination": "979-983",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"600ea872039182e5fe3de74d1346cae5a589ac83a4d316dd32607b6a054c4049"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"15550943"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101190261"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/nrmicro1047"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1020160327"
]
}
],
"sameAs": [
"https://doi.org/10.1038/nrmicro1047",
"https://app.dimensions.ai/details/publication/pub.1020160327"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T12:25",
"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/v90/0000000362_0000000362/records_87104_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "http://www.nature.com/articles/nrmicro1047"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1038/nrmicro1047'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nrmicro1047'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nrmicro1047'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nrmicro1047'
This table displays all metadata directly associated to this object as RDF triples.
232 TRIPLES
21 PREDICATES
75 URIs
29 LITERALS
17 BLANK NODES