Examining the themes of STD-related Internet searches to increase specificity of disease forecasting using Internet search terms View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Amy K Johnson, Tarek Mikati, Supriya D Mehta

ABSTRACT

US surveillance of sexually transmitted diseases (STDs) is often delayed and incomplete which creates missed opportunities to identify and respond to trends in disease. Internet search engine data has the potential to be an efficient, economical and representative enhancement to the established surveillance system. Google Trends allows the download of de-identified search engine data, which has been used to demonstrate the positive and statistically significant association between STD-related search terms and STD rates. In this study, search engine user content was identified by surveying specific exposure groups of individuals (STD clinic patients and university students) aged 18-35. Participants were asked to list the terms they use to search for STD-related information. Google Correlate was used to validate search term content. On average STD clinic participant queries were longer compared to student queries. STD clinic participants were more likely to report using search terms that were related to symptomatology such as describing symptoms of STDs, while students were more likely to report searching for general information. These differences in search terms by subpopulation have implications for STD surveillance in populations at most risk for disease acquisition. More... »

PAGES

36503

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep36503

DOI

http://dx.doi.org/10.1038/srep36503

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018554055

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27827386


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": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Forecasting", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Information Storage and Retrieval", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Internet", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Population Surveillance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sexually Transmitted Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United States", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Lurie Children's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413808.6", 
          "name": [
            "University of Illinois at Chicago, School of Public Health, Chicago, 60608, USA.", 
            "Ann &Robert H. Lurie Children's Hospital , Chicago, 60611, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Johnson", 
        "givenName": "Amy K", 
        "id": "sg:person.0744360560.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744360560.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chicago Department of Public Health", 
          "id": "https://www.grid.ac/institutes/grid.410374.5", 
          "name": [
            "Chicago Department of Public Health, Chicago, 60604, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mikati", 
        "givenName": "Tarek", 
        "id": "sg:person.0733254101.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733254101.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Illinois at Chicago", 
          "id": "https://www.grid.ac/institutes/grid.185648.6", 
          "name": [
            "University of Illinois at Chicago, School of Public Health, Chicago, 60608, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mehta", 
        "givenName": "Supriya D", 
        "id": "sg:person.010067746207.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010067746207.86"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nature07634", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005138990", 
          "https://doi.org/10.1038/nature07634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid1508.090299", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007233522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep12760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013223432", 
          "https://doi.org/10.1038/srep12760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.322.7294.1115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023292091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1124772.1124877", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030515060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amepre.2014.05.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036430084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0049124113500475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041511831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0049124113500475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041511831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0001206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041935433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/olq.0000000000000065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046843662"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/olq.0000000000000065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046843662"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/630200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058825982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1248506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062469256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1257/jep.28.2.3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064530722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2196/jmir.2911", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069286067"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "US surveillance of sexually transmitted diseases (STDs) is often delayed and incomplete which creates missed opportunities to identify and respond to trends in disease. Internet search engine data has the potential to be an efficient, economical and representative enhancement to the established surveillance system. Google Trends allows the download of de-identified search engine data, which has been used to demonstrate the positive and statistically significant association between STD-related search terms and STD rates. In this study, search engine user content was identified by surveying specific exposure groups of individuals (STD clinic patients and university students) aged 18-35. Participants were asked to list the terms they use to search for STD-related information. Google Correlate was used to validate search term content. On average STD clinic participant queries were longer compared to student queries. STD clinic participants were more likely to report using search terms that were related to symptomatology such as describing symptoms of STDs, while students were more likely to report searching for general information. These differences in search terms by subpopulation have implications for STD surveillance in populations at most risk for disease acquisition.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/srep36503", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Examining the themes of STD-related Internet searches to increase specificity of disease forecasting using Internet search terms", 
    "pagination": "36503", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5866fa345324e1a3f3c04105d398b5d9d0c118b4c1ca67b6a91b41de285e6e74"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27827386"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep36503"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1018554055"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep36503", 
      "https://app.dimensions.ai/details/publication/pub.1018554055"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:58", 
    "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_8664_00000549.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/srep/2016/161109/srep36503/full/srep36503.html"
  }
]
 

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.10.1038/srep36503'

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/srep36503'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep36503'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep36503'


 

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

178 TRIPLES      21 PREDICATES      54 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep36503 schema:about N176b4f50cb6c49d48bc536e5cc0bd8c3
2 N22b432c2b5e94832b84904239a44b5e6
3 N2c5d045ad5474b0fae70bf832c0a3b77
4 N37435dc5cb0b447296b7fce33ee9ce80
5 N701faf72304045dca327b2524bdf6616
6 N7d78f0e05bb548e8b174063d787e312b
7 N9e6a671415964119a142b25553bdb9b5
8 Na74b29d210344350bb671561090f50f5
9 Naf797c8317bf4f61a704d57d6a2545a4
10 Nb0a73a1f58ca43af901b37d2088ba84a
11 Nb5885958847f46d2a13559376aef1a63
12 Nd3ca52e453ed4a588768d908cb5cdbb4
13 anzsrc-for:11
14 anzsrc-for:1117
15 schema:author N7f8ef61927734905b649951dde95bf6c
16 schema:citation sg:pub.10.1038/nature07634
17 sg:pub.10.1038/srep12760
18 https://doi.org/10.1016/j.amepre.2014.05.020
19 https://doi.org/10.1086/630200
20 https://doi.org/10.1097/olq.0000000000000065
21 https://doi.org/10.1126/science.1248506
22 https://doi.org/10.1136/bmj.322.7294.1115
23 https://doi.org/10.1145/1124772.1124877
24 https://doi.org/10.1177/0049124113500475
25 https://doi.org/10.1257/jep.28.2.3
26 https://doi.org/10.1371/journal.pntd.0001206
27 https://doi.org/10.2196/jmir.2911
28 https://doi.org/10.3201/eid1508.090299
29 schema:datePublished 2016-12
30 schema:datePublishedReg 2016-12-01
31 schema:description US surveillance of sexually transmitted diseases (STDs) is often delayed and incomplete which creates missed opportunities to identify and respond to trends in disease. Internet search engine data has the potential to be an efficient, economical and representative enhancement to the established surveillance system. Google Trends allows the download of de-identified search engine data, which has been used to demonstrate the positive and statistically significant association between STD-related search terms and STD rates. In this study, search engine user content was identified by surveying specific exposure groups of individuals (STD clinic patients and university students) aged 18-35. Participants were asked to list the terms they use to search for STD-related information. Google Correlate was used to validate search term content. On average STD clinic participant queries were longer compared to student queries. STD clinic participants were more likely to report using search terms that were related to symptomatology such as describing symptoms of STDs, while students were more likely to report searching for general information. These differences in search terms by subpopulation have implications for STD surveillance in populations at most risk for disease acquisition.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree true
35 schema:isPartOf N8c291b27d7fd4081b1cb48cb31c0a92a
36 Nfc1488c8469546f9ac4ff6bb8f4bb7c9
37 sg:journal.1045337
38 schema:name Examining the themes of STD-related Internet searches to increase specificity of disease forecasting using Internet search terms
39 schema:pagination 36503
40 schema:productId N2d2c5e4cf6ac4e9e89e86d7c861fbe2a
41 N4678725de0bf4126841ee444774eeb8f
42 N67978ef92ad94294bbbf042732c83b40
43 N99ea4291124f4d2f977ac5ef7004eeb1
44 Nb8b38bfe6f834bca9215b988e19f4646
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018554055
46 https://doi.org/10.1038/srep36503
47 schema:sdDatePublished 2019-04-10T15:58
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher Naad409e1dfb243ba87a6fd256ae4115f
50 schema:url http://www.nature.com/srep/2016/161109/srep36503/full/srep36503.html
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N176b4f50cb6c49d48bc536e5cc0bd8c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
55 schema:name Male
56 rdf:type schema:DefinedTerm
57 N22b432c2b5e94832b84904239a44b5e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
58 schema:name Population Surveillance
59 rdf:type schema:DefinedTerm
60 N2c5d045ad5474b0fae70bf832c0a3b77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
61 schema:name Adult
62 rdf:type schema:DefinedTerm
63 N2d2c5e4cf6ac4e9e89e86d7c861fbe2a schema:name pubmed_id
64 schema:value 27827386
65 rdf:type schema:PropertyValue
66 N37435dc5cb0b447296b7fce33ee9ce80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Humans
68 rdf:type schema:DefinedTerm
69 N4678725de0bf4126841ee444774eeb8f schema:name readcube_id
70 schema:value 5866fa345324e1a3f3c04105d398b5d9d0c118b4c1ca67b6a91b41de285e6e74
71 rdf:type schema:PropertyValue
72 N540678093f3f414d9062938c57769e1b rdf:first sg:person.010067746207.86
73 rdf:rest rdf:nil
74 N67978ef92ad94294bbbf042732c83b40 schema:name doi
75 schema:value 10.1038/srep36503
76 rdf:type schema:PropertyValue
77 N701faf72304045dca327b2524bdf6616 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Sexually Transmitted Diseases
79 rdf:type schema:DefinedTerm
80 N742aa6bf156c4ab382fd8ecd27c2bd26 rdf:first sg:person.0733254101.77
81 rdf:rest N540678093f3f414d9062938c57769e1b
82 N7d78f0e05bb548e8b174063d787e312b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Young Adult
84 rdf:type schema:DefinedTerm
85 N7f8ef61927734905b649951dde95bf6c rdf:first sg:person.0744360560.65
86 rdf:rest N742aa6bf156c4ab382fd8ecd27c2bd26
87 N8c291b27d7fd4081b1cb48cb31c0a92a schema:volumeNumber 6
88 rdf:type schema:PublicationVolume
89 N99ea4291124f4d2f977ac5ef7004eeb1 schema:name dimensions_id
90 schema:value pub.1018554055
91 rdf:type schema:PropertyValue
92 N9e6a671415964119a142b25553bdb9b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Adolescent
94 rdf:type schema:DefinedTerm
95 Na74b29d210344350bb671561090f50f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Forecasting
97 rdf:type schema:DefinedTerm
98 Naad409e1dfb243ba87a6fd256ae4115f schema:name Springer Nature - SN SciGraph project
99 rdf:type schema:Organization
100 Naf797c8317bf4f61a704d57d6a2545a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Female
102 rdf:type schema:DefinedTerm
103 Nb0a73a1f58ca43af901b37d2088ba84a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Internet
105 rdf:type schema:DefinedTerm
106 Nb5885958847f46d2a13559376aef1a63 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name United States
108 rdf:type schema:DefinedTerm
109 Nb8b38bfe6f834bca9215b988e19f4646 schema:name nlm_unique_id
110 schema:value 101563288
111 rdf:type schema:PropertyValue
112 Nd3ca52e453ed4a588768d908cb5cdbb4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Information Storage and Retrieval
114 rdf:type schema:DefinedTerm
115 Nfc1488c8469546f9ac4ff6bb8f4bb7c9 schema:issueNumber 1
116 rdf:type schema:PublicationIssue
117 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
118 schema:name Medical and Health Sciences
119 rdf:type schema:DefinedTerm
120 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
121 schema:name Public Health and Health Services
122 rdf:type schema:DefinedTerm
123 sg:journal.1045337 schema:issn 2045-2322
124 schema:name Scientific Reports
125 rdf:type schema:Periodical
126 sg:person.010067746207.86 schema:affiliation https://www.grid.ac/institutes/grid.185648.6
127 schema:familyName Mehta
128 schema:givenName Supriya D
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010067746207.86
130 rdf:type schema:Person
131 sg:person.0733254101.77 schema:affiliation https://www.grid.ac/institutes/grid.410374.5
132 schema:familyName Mikati
133 schema:givenName Tarek
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733254101.77
135 rdf:type schema:Person
136 sg:person.0744360560.65 schema:affiliation https://www.grid.ac/institutes/grid.413808.6
137 schema:familyName Johnson
138 schema:givenName Amy K
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744360560.65
140 rdf:type schema:Person
141 sg:pub.10.1038/nature07634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005138990
142 https://doi.org/10.1038/nature07634
143 rdf:type schema:CreativeWork
144 sg:pub.10.1038/srep12760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013223432
145 https://doi.org/10.1038/srep12760
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.amepre.2014.05.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036430084
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1086/630200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058825982
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1097/olq.0000000000000065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046843662
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1126/science.1248506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062469256
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1136/bmj.322.7294.1115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023292091
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1145/1124772.1124877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030515060
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1177/0049124113500475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041511831
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1257/jep.28.2.3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064530722
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1371/journal.pntd.0001206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041935433
164 rdf:type schema:CreativeWork
165 https://doi.org/10.2196/jmir.2911 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069286067
166 rdf:type schema:CreativeWork
167 https://doi.org/10.3201/eid1508.090299 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007233522
168 rdf:type schema:CreativeWork
169 https://www.grid.ac/institutes/grid.185648.6 schema:alternateName University of Illinois at Chicago
170 schema:name University of Illinois at Chicago, School of Public Health, Chicago, 60608, USA.
171 rdf:type schema:Organization
172 https://www.grid.ac/institutes/grid.410374.5 schema:alternateName Chicago Department of Public Health
173 schema:name Chicago Department of Public Health, Chicago, 60604, USA.
174 rdf:type schema:Organization
175 https://www.grid.ac/institutes/grid.413808.6 schema:alternateName Lurie Children's Hospital
176 schema:name Ann &Robert H. Lurie Children's Hospital , Chicago, 60611, USA.
177 University of Illinois at Chicago, School of Public Health, Chicago, 60608, USA.
178 rdf:type schema:Organization
 




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


...