Big Data Analytics, Infectious Diseases and Associated Ethical Impacts View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-08-24

AUTHORS

Chiara Garattini, Jade Raffle, Dewi N Aisyah, Felicity Sartain, Zisis Kozlakidis

ABSTRACT

The exponential accumulation, processing and accrual of big data in healthcare are only possible through an equally rapidly evolving field of big data analytics. The latter offers the capacity to rationalize, understand and use big data to serve many different purposes, from improved services modelling to prediction of treatment outcomes, to greater patient and disease stratification. In the area of infectious diseases, the application of big data analytics has introduced a number of changes in the information accumulation models. These are discussed by comparing the traditional and new models of data accumulation. Big data analytics is fast becoming a crucial component for the modelling of transmission—aiding infection control measures and policies—emergency response analyses required during local or international outbreaks. However, the application of big data analytics in infectious diseases is coupled with a number of ethical impacts. Four key areas are discussed in this paper: (i) automation and algorithmic reliance impacting freedom of choice, (ii) big data analytics complexity impacting informed consent, (iii) reliance on profiling impacting individual and group identities and justice/fair access and (iv) increased surveillance and population intervention capabilities impacting behavioural norms and practices. Furthermore, the extension of big data analytics to include information derived from personal devices, such as mobile phones and wearables as part of infectious disease frameworks in the near future and their potential ethical impacts are discussed. Considered together, the need for a constructive and transparent inclusion of ethical questioning in this rapidly evolving field becomes an increasing necessity in order to provide a moral foundation for the societal acceptance and responsible development of the technological advancement. More... »

PAGES

69-85

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13347-017-0278-y

DOI

http://dx.doi.org/10.1007/s13347-017-0278-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091321596

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31024785


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/2008/16", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Studies in Human Society", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/22", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Philosophy and Religious Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1608", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Sociology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2202", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "History and Philosophy of Specific Fields", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2203", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Philosophy", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Anthropology and UX Research, Health and Life Sciences, Intel, London, UK", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Anthropology and UX Research, Health and Life Sciences, Intel, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garattini", 
        "givenName": "Chiara", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Infection and Immunity, University College London, Cruciform Building, Gower Street, WC1E 6BT, London, UK", 
          "id": "http://www.grid.ac/institutes/grid.83440.3b", 
          "name": [
            "Division of Infection and Immunity, University College London, Cruciform Building, Gower Street, WC1E 6BT, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Raffle", 
        "givenName": "Jade", 
        "id": "sg:person.016462354027.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016462354027.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Infectious Disease Informatics, University College London, Farr Institute of Health Informatics Research, 222 Euston Road, NW1 2DA, London, UK", 
          "id": "http://www.grid.ac/institutes/grid.83440.3b", 
          "name": [
            "Department of Infectious Disease Informatics, University College London, Farr Institute of Health Informatics Research, 222 Euston Road, NW1 2DA, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aisyah", 
        "givenName": "Dewi N", 
        "id": "sg:person.01165111140.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165111140.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Profiscio Ltd., 10 Great Russell Street, WC1B 3BQ, London, UK", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Profiscio Ltd., 10 Great Russell Street, WC1B 3BQ, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sartain", 
        "givenName": "Felicity", 
        "id": "sg:person.01240013743.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240013743.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Infection and Immunity, University College London, Cruciform Building, Gower Street, WC1E 6BT, London, UK", 
          "id": "http://www.grid.ac/institutes/grid.83440.3b", 
          "name": [
            "Division of Infection and Immunity, University College London, Cruciform Building, Gower Street, WC1E 6BT, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kozlakidis", 
        "givenName": "Zisis", 
        "id": "sg:person.01273323366.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273323366.19"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/srep31456", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049519474", 
          "https://doi.org/10.1038/srep31456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12652-015-0303-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030458503", 
          "https://doi.org/10.1007/s12652-015-0303-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1744-8603-2-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022488993", 
          "https://doi.org/10.1186/1744-8603-2-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11948-015-9652-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032588114", 
          "https://doi.org/10.1007/s11948-015-9652-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11948-017-9872-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083418085", 
          "https://doi.org/10.1007/s11948-017-9872-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-10-31", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032978440", 
          "https://doi.org/10.1186/1471-2458-10-31"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2047-2501-2-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004595419", 
          "https://doi.org/10.1186/2047-2501-2-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-5-141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007349278", 
          "https://doi.org/10.1186/1471-2458-5-141"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13347-012-0093-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006947598", 
          "https://doi.org/10.1007/s13347-012-0093-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6939-13-10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021401502", 
          "https://doi.org/10.1186/1472-6939-13-10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10393-016-1100-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002416681", 
          "https://doi.org/10.1007/s10393-016-1100-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-08-24", 
    "datePublishedReg": "2017-08-24", 
    "description": "The exponential accumulation, processing and accrual of big data in healthcare are only possible through an equally rapidly evolving field of big data analytics. The latter offers the capacity to rationalize, understand and use big data to serve many different purposes, from improved services modelling to prediction of treatment outcomes, to greater patient and disease stratification. In the area of infectious diseases, the application of big data analytics has introduced a number of changes in the information accumulation models. These are discussed by comparing the traditional and new models of data accumulation. Big data analytics is fast becoming a crucial component for the modelling of transmission\u2014aiding infection control measures and policies\u2014emergency response analyses required during local or international outbreaks. However, the application of big data analytics in infectious diseases is coupled with a number of ethical impacts. Four key areas are discussed in this paper: (i) automation and algorithmic reliance impacting freedom of choice, (ii) big data analytics complexity impacting informed consent, (iii) reliance on profiling impacting individual and group identities and justice/fair access and (iv) increased surveillance and population intervention capabilities impacting behavioural norms and practices. Furthermore, the extension of big data analytics to include information derived from personal devices, such as mobile phones and wearables as part of infectious disease frameworks in the near future and their potential ethical impacts are discussed. Considered together, the need for a constructive and transparent inclusion of ethical questioning in this rapidly evolving field becomes an increasing necessity in order to provide a moral foundation for the societal acceptance and responsible development of the technological advancement.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s13347-017-0278-y", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1046885", 
        "issn": [
          "2210-5433", 
          "2210-5441"
        ], 
        "name": "Philosophy & Technology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "32"
      }
    ], 
    "keywords": [
      "big data analytics", 
      "data analytics", 
      "big data", 
      "personal devices", 
      "ethical impact", 
      "analytics", 
      "information accumulation models", 
      "potential ethical impacts", 
      "mobile phones", 
      "data accumulation", 
      "improved services", 
      "different purposes", 
      "technological advancements", 
      "intervention capabilities", 
      "fair access", 
      "transparent inclusion", 
      "exponential accumulation", 
      "automation", 
      "analytic complexity", 
      "phones", 
      "wearables", 
      "crucial component", 
      "applications", 
      "new model", 
      "complexity", 
      "services", 
      "near future", 
      "processing", 
      "capability", 
      "information", 
      "healthcare", 
      "responsible development", 
      "access", 
      "key areas", 
      "model", 
      "data", 
      "number of changes", 
      "advancement", 
      "devices", 
      "number", 
      "extension", 
      "modelling", 
      "surveillance", 
      "field", 
      "prediction", 
      "need", 
      "societal acceptance", 
      "order", 
      "acceptance", 
      "foundation", 
      "necessity", 
      "area", 
      "ethical questioning", 
      "future", 
      "purpose", 
      "reliance", 
      "components", 
      "development", 
      "part", 
      "impact", 
      "choice", 
      "practice", 
      "measures", 
      "freedom", 
      "analysis", 
      "behavioral norms", 
      "capacity", 
      "identity", 
      "norms", 
      "disease stratification", 
      "individuals", 
      "response analysis", 
      "accumulation model", 
      "inclusion", 
      "consent", 
      "changes", 
      "infectious diseases", 
      "greater patient", 
      "control measures", 
      "outbreak", 
      "international outbreak", 
      "questioning", 
      "outcomes", 
      "group identity", 
      "disease", 
      "moral foundations", 
      "stratification", 
      "patients", 
      "accumulation", 
      "treatment outcomes", 
      "paper", 
      "infection control measures"
    ], 
    "name": "Big Data Analytics, Infectious Diseases and Associated Ethical Impacts", 
    "pagination": "69-85", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091321596"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13347-017-0278-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "31024785"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13347-017-0278-y", 
      "https://app.dimensions.ai/details/publication/pub.1091321596"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T17:05", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_738.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s13347-017-0278-y"
  }
]
 

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.10.1007/s13347-017-0278-y'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s13347-017-0278-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13347-017-0278-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13347-017-0278-y'


 

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

243 TRIPLES      21 PREDICATES      131 URIs      109 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13347-017-0278-y schema:about anzsrc-for:16
2 anzsrc-for:1608
3 anzsrc-for:22
4 anzsrc-for:2202
5 anzsrc-for:2203
6 schema:author N8f27302cf9e5402d8128505c4235ee43
7 schema:citation sg:pub.10.1007/s10393-016-1100-5
8 sg:pub.10.1007/s11948-015-9652-2
9 sg:pub.10.1007/s11948-017-9872-8
10 sg:pub.10.1007/s12652-015-0303-x
11 sg:pub.10.1007/s13347-012-0093-4
12 sg:pub.10.1038/srep31456
13 sg:pub.10.1186/1471-2458-10-31
14 sg:pub.10.1186/1471-2458-5-141
15 sg:pub.10.1186/1472-6939-13-10
16 sg:pub.10.1186/1744-8603-2-9
17 sg:pub.10.1186/2047-2501-2-3
18 schema:datePublished 2017-08-24
19 schema:datePublishedReg 2017-08-24
20 schema:description The exponential accumulation, processing and accrual of big data in healthcare are only possible through an equally rapidly evolving field of big data analytics. The latter offers the capacity to rationalize, understand and use big data to serve many different purposes, from improved services modelling to prediction of treatment outcomes, to greater patient and disease stratification. In the area of infectious diseases, the application of big data analytics has introduced a number of changes in the information accumulation models. These are discussed by comparing the traditional and new models of data accumulation. Big data analytics is fast becoming a crucial component for the modelling of transmission—aiding infection control measures and policies—emergency response analyses required during local or international outbreaks. However, the application of big data analytics in infectious diseases is coupled with a number of ethical impacts. Four key areas are discussed in this paper: (i) automation and algorithmic reliance impacting freedom of choice, (ii) big data analytics complexity impacting informed consent, (iii) reliance on profiling impacting individual and group identities and justice/fair access and (iv) increased surveillance and population intervention capabilities impacting behavioural norms and practices. Furthermore, the extension of big data analytics to include information derived from personal devices, such as mobile phones and wearables as part of infectious disease frameworks in the near future and their potential ethical impacts are discussed. Considered together, the need for a constructive and transparent inclusion of ethical questioning in this rapidly evolving field becomes an increasing necessity in order to provide a moral foundation for the societal acceptance and responsible development of the technological advancement.
21 schema:genre article
22 schema:isAccessibleForFree true
23 schema:isPartOf N0ecb67a3aba64723a73af948afbd713e
24 N86028c6ee42e4e5eb4dba7f16303f52f
25 sg:journal.1046885
26 schema:keywords acceptance
27 access
28 accumulation
29 accumulation model
30 advancement
31 analysis
32 analytic complexity
33 analytics
34 applications
35 area
36 automation
37 behavioral norms
38 big data
39 big data analytics
40 capability
41 capacity
42 changes
43 choice
44 complexity
45 components
46 consent
47 control measures
48 crucial component
49 data
50 data accumulation
51 data analytics
52 development
53 devices
54 different purposes
55 disease
56 disease stratification
57 ethical impact
58 ethical questioning
59 exponential accumulation
60 extension
61 fair access
62 field
63 foundation
64 freedom
65 future
66 greater patient
67 group identity
68 healthcare
69 identity
70 impact
71 improved services
72 inclusion
73 individuals
74 infection control measures
75 infectious diseases
76 information
77 information accumulation models
78 international outbreak
79 intervention capabilities
80 key areas
81 measures
82 mobile phones
83 model
84 modelling
85 moral foundations
86 near future
87 necessity
88 need
89 new model
90 norms
91 number
92 number of changes
93 order
94 outbreak
95 outcomes
96 paper
97 part
98 patients
99 personal devices
100 phones
101 potential ethical impacts
102 practice
103 prediction
104 processing
105 purpose
106 questioning
107 reliance
108 response analysis
109 responsible development
110 services
111 societal acceptance
112 stratification
113 surveillance
114 technological advancements
115 transparent inclusion
116 treatment outcomes
117 wearables
118 schema:name Big Data Analytics, Infectious Diseases and Associated Ethical Impacts
119 schema:pagination 69-85
120 schema:productId N3ce1a26826dc4b2e81c42a62d8268bb1
121 N88c8b5edded243058cdc2f320678ce62
122 Nbc220b593ed14c4686d23de299e92870
123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091321596
124 https://doi.org/10.1007/s13347-017-0278-y
125 schema:sdDatePublished 2022-08-04T17:05
126 schema:sdLicense https://scigraph.springernature.com/explorer/license/
127 schema:sdPublisher N55868559478246af88ae84072cb92463
128 schema:url https://doi.org/10.1007/s13347-017-0278-y
129 sgo:license sg:explorer/license/
130 sgo:sdDataset articles
131 rdf:type schema:ScholarlyArticle
132 N0ecb67a3aba64723a73af948afbd713e schema:volumeNumber 32
133 rdf:type schema:PublicationVolume
134 N3ce1a26826dc4b2e81c42a62d8268bb1 schema:name pubmed_id
135 schema:value 31024785
136 rdf:type schema:PropertyValue
137 N55868559478246af88ae84072cb92463 schema:name Springer Nature - SN SciGraph project
138 rdf:type schema:Organization
139 N836e00d96e9f4c049db554f7f91c5051 rdf:first sg:person.01240013743.03
140 rdf:rest Ne7c90cea68534166a66a83b333e6b541
141 N86028c6ee42e4e5eb4dba7f16303f52f schema:issueNumber 1
142 rdf:type schema:PublicationIssue
143 N88c8b5edded243058cdc2f320678ce62 schema:name doi
144 schema:value 10.1007/s13347-017-0278-y
145 rdf:type schema:PropertyValue
146 N8f27302cf9e5402d8128505c4235ee43 rdf:first Nc96b5335665041abaa3fe6548a618281
147 rdf:rest N9c5ec5e2b4f04c9e80940414513602df
148 N9c5ec5e2b4f04c9e80940414513602df rdf:first sg:person.016462354027.27
149 rdf:rest Ne20caa9104cb47089fcd68723eb3ce0e
150 Nbc220b593ed14c4686d23de299e92870 schema:name dimensions_id
151 schema:value pub.1091321596
152 rdf:type schema:PropertyValue
153 Nc96b5335665041abaa3fe6548a618281 schema:affiliation grid-institutes:None
154 schema:familyName Garattini
155 schema:givenName Chiara
156 rdf:type schema:Person
157 Ne20caa9104cb47089fcd68723eb3ce0e rdf:first sg:person.01165111140.91
158 rdf:rest N836e00d96e9f4c049db554f7f91c5051
159 Ne7c90cea68534166a66a83b333e6b541 rdf:first sg:person.01273323366.19
160 rdf:rest rdf:nil
161 anzsrc-for:16 schema:inDefinedTermSet anzsrc-for:
162 schema:name Studies in Human Society
163 rdf:type schema:DefinedTerm
164 anzsrc-for:1608 schema:inDefinedTermSet anzsrc-for:
165 schema:name Sociology
166 rdf:type schema:DefinedTerm
167 anzsrc-for:22 schema:inDefinedTermSet anzsrc-for:
168 schema:name Philosophy and Religious Studies
169 rdf:type schema:DefinedTerm
170 anzsrc-for:2202 schema:inDefinedTermSet anzsrc-for:
171 schema:name History and Philosophy of Specific Fields
172 rdf:type schema:DefinedTerm
173 anzsrc-for:2203 schema:inDefinedTermSet anzsrc-for:
174 schema:name Philosophy
175 rdf:type schema:DefinedTerm
176 sg:journal.1046885 schema:issn 2210-5433
177 2210-5441
178 schema:name Philosophy & Technology
179 schema:publisher Springer Nature
180 rdf:type schema:Periodical
181 sg:person.01165111140.91 schema:affiliation grid-institutes:grid.83440.3b
182 schema:familyName Aisyah
183 schema:givenName Dewi N
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165111140.91
185 rdf:type schema:Person
186 sg:person.01240013743.03 schema:affiliation grid-institutes:None
187 schema:familyName Sartain
188 schema:givenName Felicity
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240013743.03
190 rdf:type schema:Person
191 sg:person.01273323366.19 schema:affiliation grid-institutes:grid.83440.3b
192 schema:familyName Kozlakidis
193 schema:givenName Zisis
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273323366.19
195 rdf:type schema:Person
196 sg:person.016462354027.27 schema:affiliation grid-institutes:grid.83440.3b
197 schema:familyName Raffle
198 schema:givenName Jade
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016462354027.27
200 rdf:type schema:Person
201 sg:pub.10.1007/s10393-016-1100-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002416681
202 https://doi.org/10.1007/s10393-016-1100-5
203 rdf:type schema:CreativeWork
204 sg:pub.10.1007/s11948-015-9652-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032588114
205 https://doi.org/10.1007/s11948-015-9652-2
206 rdf:type schema:CreativeWork
207 sg:pub.10.1007/s11948-017-9872-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083418085
208 https://doi.org/10.1007/s11948-017-9872-8
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/s12652-015-0303-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030458503
211 https://doi.org/10.1007/s12652-015-0303-x
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s13347-012-0093-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006947598
214 https://doi.org/10.1007/s13347-012-0093-4
215 rdf:type schema:CreativeWork
216 sg:pub.10.1038/srep31456 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049519474
217 https://doi.org/10.1038/srep31456
218 rdf:type schema:CreativeWork
219 sg:pub.10.1186/1471-2458-10-31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032978440
220 https://doi.org/10.1186/1471-2458-10-31
221 rdf:type schema:CreativeWork
222 sg:pub.10.1186/1471-2458-5-141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007349278
223 https://doi.org/10.1186/1471-2458-5-141
224 rdf:type schema:CreativeWork
225 sg:pub.10.1186/1472-6939-13-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021401502
226 https://doi.org/10.1186/1472-6939-13-10
227 rdf:type schema:CreativeWork
228 sg:pub.10.1186/1744-8603-2-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022488993
229 https://doi.org/10.1186/1744-8603-2-9
230 rdf:type schema:CreativeWork
231 sg:pub.10.1186/2047-2501-2-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004595419
232 https://doi.org/10.1186/2047-2501-2-3
233 rdf:type schema:CreativeWork
234 grid-institutes:None schema:alternateName Anthropology and UX Research, Health and Life Sciences, Intel, London, UK
235 Profiscio Ltd., 10 Great Russell Street, WC1B 3BQ, London, UK
236 schema:name Anthropology and UX Research, Health and Life Sciences, Intel, London, UK
237 Profiscio Ltd., 10 Great Russell Street, WC1B 3BQ, London, UK
238 rdf:type schema:Organization
239 grid-institutes:grid.83440.3b schema:alternateName Department of Infectious Disease Informatics, University College London, Farr Institute of Health Informatics Research, 222 Euston Road, NW1 2DA, London, UK
240 Division of Infection and Immunity, University College London, Cruciform Building, Gower Street, WC1E 6BT, London, UK
241 schema:name Department of Infectious Disease Informatics, University College London, Farr Institute of Health Informatics Research, 222 Euston Road, NW1 2DA, London, UK
242 Division of Infection and Immunity, University College London, Cruciform Building, Gower Street, WC1E 6BT, London, UK
243 rdf:type schema:Organization
 




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


...