Perspectives of Australian policy-makers on the potential benefits and risks of technologically enhanced communicable disease surveillance - a modified Delphi ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Chris Degeling, Jane Johnson, Gwendolyn L Gilbert

ABSTRACT

BACKGROUND: Event-based social media monitoring and pathogen whole genome sequencing (WGS) will enhance communicable disease surveillance research and systems. If linked electronically and scanned systematically, the information provided by these technologies could be mined to uncover new epidemiological patterns and associations much faster than traditional public health approaches. The benefits of earlier outbreak detection are significant, but implementation could be opposed in the absence of a social licence or if ethical and legal concerns are not addressed. METHODS: A three-phase mixed-method Delphi survey with Australian policy-makers, health practitioners and lawyers (n = 44) was conducted to explore areas of consensus and disagreement over (1) key policy and practical issues raised by the introduction of novel communicable disease surveillance programmes; and (2) the most significant and likely risks from using social media content and WGS technologies in epidemiological research and outbreak investigations. RESULTS: Panellists agreed that the integration of social media monitoring and WGS technologies into communicable disease surveillance systems raised significant issues, including impacts on personal privacy, medicolegal risks and the potential for unintended consequences. Notably, their concerns focused on how these technologies should be used, rather than how the data was collected. Panellists held that social media users should expect their posts to be monitored in the interests of public health, but using those platforms to contact identified individuals was controversial. The conditions of appropriate use of pathogen WGS in epidemiological research and investigations was also contentious. Key differences amongst participants included the necessity for consent before testing and data-linkage, thresholds for action, and the legal and ethical importance of harms to individuals and commercial entities. The erosion of public trust was seen as the most significant risk from the systematic use of these technologies. CONCLUSIONS: Enhancing communicable disease surveillance with social-media monitoring and pathogen WGS may cause controversy. The challenge is to determine and then codify how these technologies should be used such that the balance between individual risk and community benefit is widely accepted. Participants agreed that clear guidelines for appropriate use that address legal and ethical concerns need to be developed in consultation with relevant experts and the broader Australian public. More... »

PAGES

35

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12961-019-0440-3

DOI

http://dx.doi.org/10.1186/s12961-019-0440-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113184512

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30947721


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Sydney", 
          "id": "https://www.grid.ac/institutes/grid.1013.3", 
          "name": [
            "Australian Centre for Health Engagement, Evidence and Values, School of Health and Society, Faculty of Social Science, University of Wollongong, Building 233.G05D, Wollongong, NSW, 2500, Australia. degeling@uow.edu.au.", 
            "Sydney Health Ethics, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia. degeling@uow.edu.au."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Degeling", 
        "givenName": "Chris", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sydney", 
          "id": "https://www.grid.ac/institutes/grid.1013.3", 
          "name": [
            "Sydney Health Ethics, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia.", 
            "Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Westmead, NSW, Australia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Johnson", 
        "givenName": "Jane", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sydney", 
          "id": "https://www.grid.ac/institutes/grid.1013.3", 
          "name": [
            "Sydney Health Ethics, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia.", 
            "Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Westmead, NSW, Australia.", 
            "Marie Bashir Institute for Infectious Disease and Biosecurity, University of Sydney, Sydney, NSW, Australia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gilbert", 
        "givenName": "Gwendolyn L", 
        "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/10.1002/9781118543504.ch38", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006202931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11077-016-9255-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009732668", 
          "https://doi.org/10.1007/s11077-016-9255-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11077-016-9255-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009732668", 
          "https://doi.org/10.1007/s11077-016-9255-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4324/9781315832937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015999566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.h1314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018683057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmp1107294", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021545253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1377/hlthaff.28.2.454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023299254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.techfore.2005.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024927093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.techfore.2005.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024927093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12889-015-2617-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029840600", 
          "https://doi.org/10.1186/s12889-015-2617-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0139701", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030026750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0020-7489(00)00044-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032699612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socscimed.2014.03.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036893152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socscimed.2014.03.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036893152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2288-13-117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037599795", 
          "https://doi.org/10.1186/1471-2288-13-117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1468-4446.2009.01247.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041471125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13642987.2012.710840", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041953167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijmedinf.2016.09.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043416414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1002616", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043980830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0162243916677835", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052421029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0162243916677835", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052421029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-9299.00344", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052564638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/infdis/jiw280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059710269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/infdis/jiw356", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059710323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/infdis/jiw400", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059710358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/dmp.0b013e31819f4483", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060340030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/dmp.0b013e31819f4483", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060340030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.311.7001.376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062772870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.311.7001.376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062772870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078875274", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079146125", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/phh.0000000000000508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083398058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/phh.0000000000000508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083398058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socscimed.2017.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084108927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socscimed.2017.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084108927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2468-2667(17)30136-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090275166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2468-2667(17)30136-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090275166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2807/1560-7917.es.2017.22.23.30547", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090373126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/cmr.00016-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091435109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajic.2018.02.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103170797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajic.2018.02.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103170797"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Event-based social media monitoring and pathogen whole genome sequencing (WGS) will enhance communicable disease surveillance research and systems. If linked electronically and scanned systematically, the information provided by these technologies could be mined to uncover new epidemiological patterns and associations much faster than traditional public health approaches. The benefits of earlier outbreak detection are significant, but implementation could be opposed in the absence of a social licence or if ethical and legal concerns are not addressed.\nMETHODS: A three-phase mixed-method Delphi survey with Australian policy-makers, health practitioners and lawyers (n\u2009=\u200944) was conducted to explore areas of consensus and disagreement over (1) key policy and practical issues raised by the introduction of novel communicable disease surveillance programmes; and (2) the most significant and likely risks from using social media content and WGS technologies in epidemiological research and outbreak investigations.\nRESULTS: Panellists agreed that the integration of social media monitoring and WGS technologies into communicable disease surveillance systems raised significant issues, including impacts on personal privacy, medicolegal risks and the potential for unintended consequences. Notably, their concerns focused on how these technologies should be used, rather than how the data was collected. Panellists held that social media users should expect their posts to be monitored in the interests of public health, but using those platforms to contact identified individuals was controversial. The conditions of appropriate use of pathogen WGS in epidemiological research and investigations was also contentious. Key differences amongst participants included the necessity for consent before testing and data-linkage, thresholds for action, and the legal and ethical importance of harms to individuals and commercial entities. The erosion of public trust was seen as the most significant risk from the systematic use of these technologies.\nCONCLUSIONS: Enhancing communicable disease surveillance with social-media monitoring and pathogen WGS may cause controversy. The challenge is to determine and then codify how these technologies should be used such that the balance between individual risk and community benefit is widely accepted. Participants agreed that clear guidelines for appropriate use that address legal and ethical concerns need to be developed in consultation with relevant experts and the broader Australian public.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12961-019-0440-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6731786", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6730085", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1032049", 
        "issn": [
          "1478-4505"
        ], 
        "name": "Health Research Policy and Systems", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Perspectives of Australian policy-makers on the potential benefits and risks of technologically enhanced communicable disease surveillance - a modified Delphi survey.", 
    "pagination": "35", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12961-019-0440-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113184512"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101170481"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30947721"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12961-019-0440-3", 
      "https://app.dimensions.ai/details/publication/pub.1113184512"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:01", 
    "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/v90/0000000375_0000000375/records_91444_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://health-policy-systems.biomedcentral.com/articles/10.1186/s12961-019-0440-3"
  }
]
 

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/s12961-019-0440-3'

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/s12961-019-0440-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12961-019-0440-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12961-019-0440-3'


 

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

181 TRIPLES      21 PREDICATES      60 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12961-019-0440-3 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N6fbfe1f1abc9455b8b54c887ab39cf59
4 schema:citation sg:pub.10.1007/s11077-016-9255-z
5 sg:pub.10.1038/nature07634
6 sg:pub.10.1186/1471-2288-13-117
7 sg:pub.10.1186/s12889-015-2617-1
8 https://app.dimensions.ai/details/publication/pub.1078875274
9 https://app.dimensions.ai/details/publication/pub.1079146125
10 https://doi.org/10.1002/9781118543504.ch38
11 https://doi.org/10.1016/j.ajic.2018.02.010
12 https://doi.org/10.1016/j.ijmedinf.2016.09.010
13 https://doi.org/10.1016/j.socscimed.2014.03.005
14 https://doi.org/10.1016/j.socscimed.2017.03.003
15 https://doi.org/10.1016/j.techfore.2005.09.002
16 https://doi.org/10.1016/s0020-7489(00)00044-4
17 https://doi.org/10.1016/s2468-2667(17)30136-6
18 https://doi.org/10.1056/nejmp1107294
19 https://doi.org/10.1080/13642987.2012.710840
20 https://doi.org/10.1093/infdis/jiw280
21 https://doi.org/10.1093/infdis/jiw356
22 https://doi.org/10.1093/infdis/jiw400
23 https://doi.org/10.1097/dmp.0b013e31819f4483
24 https://doi.org/10.1097/phh.0000000000000508
25 https://doi.org/10.1111/1467-9299.00344
26 https://doi.org/10.1111/j.1468-4446.2009.01247.x
27 https://doi.org/10.1128/cmr.00016-17
28 https://doi.org/10.1136/bmj.311.7001.376
29 https://doi.org/10.1136/bmj.h1314
30 https://doi.org/10.1177/0162243916677835
31 https://doi.org/10.1371/journal.pcbi.1002616
32 https://doi.org/10.1371/journal.pone.0139701
33 https://doi.org/10.1377/hlthaff.28.2.454
34 https://doi.org/10.2807/1560-7917.es.2017.22.23.30547
35 https://doi.org/10.4324/9781315832937
36 schema:datePublished 2019-12
37 schema:datePublishedReg 2019-12-01
38 schema:description BACKGROUND: Event-based social media monitoring and pathogen whole genome sequencing (WGS) will enhance communicable disease surveillance research and systems. If linked electronically and scanned systematically, the information provided by these technologies could be mined to uncover new epidemiological patterns and associations much faster than traditional public health approaches. The benefits of earlier outbreak detection are significant, but implementation could be opposed in the absence of a social licence or if ethical and legal concerns are not addressed. METHODS: A three-phase mixed-method Delphi survey with Australian policy-makers, health practitioners and lawyers (n = 44) was conducted to explore areas of consensus and disagreement over (1) key policy and practical issues raised by the introduction of novel communicable disease surveillance programmes; and (2) the most significant and likely risks from using social media content and WGS technologies in epidemiological research and outbreak investigations. RESULTS: Panellists agreed that the integration of social media monitoring and WGS technologies into communicable disease surveillance systems raised significant issues, including impacts on personal privacy, medicolegal risks and the potential for unintended consequences. Notably, their concerns focused on how these technologies should be used, rather than how the data was collected. Panellists held that social media users should expect their posts to be monitored in the interests of public health, but using those platforms to contact identified individuals was controversial. The conditions of appropriate use of pathogen WGS in epidemiological research and investigations was also contentious. Key differences amongst participants included the necessity for consent before testing and data-linkage, thresholds for action, and the legal and ethical importance of harms to individuals and commercial entities. The erosion of public trust was seen as the most significant risk from the systematic use of these technologies. CONCLUSIONS: Enhancing communicable disease surveillance with social-media monitoring and pathogen WGS may cause controversy. The challenge is to determine and then codify how these technologies should be used such that the balance between individual risk and community benefit is widely accepted. Participants agreed that clear guidelines for appropriate use that address legal and ethical concerns need to be developed in consultation with relevant experts and the broader Australian public.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree true
42 schema:isPartOf N046c49cf715d420eabb376cec0dd7962
43 Nf41beb999be04e0f84526827e6f740a2
44 sg:journal.1032049
45 schema:name Perspectives of Australian policy-makers on the potential benefits and risks of technologically enhanced communicable disease surveillance - a modified Delphi survey.
46 schema:pagination 35
47 schema:productId N6e9fa14047ea4e3d82ac7fa3f729dc39
48 Na0d653b6aeab4ecfb8bd2477ecae17df
49 Nb3e76b9c67e44ef1896b274d0d8eae13
50 Ndde6b7a94f8b4578b5b1a39d20143744
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113184512
52 https://doi.org/10.1186/s12961-019-0440-3
53 schema:sdDatePublished 2019-04-15T09:01
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher Ne0096da6196f43108c83bcad9f4088bf
56 schema:url https://health-policy-systems.biomedcentral.com/articles/10.1186/s12961-019-0440-3
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N046c49cf715d420eabb376cec0dd7962 schema:issueNumber 1
61 rdf:type schema:PublicationIssue
62 N54a412dddfc7402aa1901c2430672156 schema:affiliation https://www.grid.ac/institutes/grid.1013.3
63 schema:familyName Johnson
64 schema:givenName Jane
65 rdf:type schema:Person
66 N6e9fa14047ea4e3d82ac7fa3f729dc39 schema:name nlm_unique_id
67 schema:value 101170481
68 rdf:type schema:PropertyValue
69 N6fbfe1f1abc9455b8b54c887ab39cf59 rdf:first Nb451b13173ce44be8342d02efd8157cc
70 rdf:rest N797e4270b03946d1ad37a2280586bf0c
71 N797e4270b03946d1ad37a2280586bf0c rdf:first N54a412dddfc7402aa1901c2430672156
72 rdf:rest Na5b92145369d488584e9be872647ccba
73 N7d5c44c56c69472cbb51d067ffbd1f55 schema:affiliation https://www.grid.ac/institutes/grid.1013.3
74 schema:familyName Gilbert
75 schema:givenName Gwendolyn L
76 rdf:type schema:Person
77 Na0d653b6aeab4ecfb8bd2477ecae17df schema:name pubmed_id
78 schema:value 30947721
79 rdf:type schema:PropertyValue
80 Na5b92145369d488584e9be872647ccba rdf:first N7d5c44c56c69472cbb51d067ffbd1f55
81 rdf:rest rdf:nil
82 Nb3e76b9c67e44ef1896b274d0d8eae13 schema:name dimensions_id
83 schema:value pub.1113184512
84 rdf:type schema:PropertyValue
85 Nb451b13173ce44be8342d02efd8157cc schema:affiliation https://www.grid.ac/institutes/grid.1013.3
86 schema:familyName Degeling
87 schema:givenName Chris
88 rdf:type schema:Person
89 Ndde6b7a94f8b4578b5b1a39d20143744 schema:name doi
90 schema:value 10.1186/s12961-019-0440-3
91 rdf:type schema:PropertyValue
92 Ne0096da6196f43108c83bcad9f4088bf schema:name Springer Nature - SN SciGraph project
93 rdf:type schema:Organization
94 Nf41beb999be04e0f84526827e6f740a2 schema:volumeNumber 17
95 rdf:type schema:PublicationVolume
96 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
97 schema:name Medical and Health Sciences
98 rdf:type schema:DefinedTerm
99 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
100 schema:name Public Health and Health Services
101 rdf:type schema:DefinedTerm
102 sg:grant.6730085 http://pending.schema.org/fundedItem sg:pub.10.1186/s12961-019-0440-3
103 rdf:type schema:MonetaryGrant
104 sg:grant.6731786 http://pending.schema.org/fundedItem sg:pub.10.1186/s12961-019-0440-3
105 rdf:type schema:MonetaryGrant
106 sg:journal.1032049 schema:issn 1478-4505
107 schema:name Health Research Policy and Systems
108 rdf:type schema:Periodical
109 sg:pub.10.1007/s11077-016-9255-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1009732668
110 https://doi.org/10.1007/s11077-016-9255-z
111 rdf:type schema:CreativeWork
112 sg:pub.10.1038/nature07634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005138990
113 https://doi.org/10.1038/nature07634
114 rdf:type schema:CreativeWork
115 sg:pub.10.1186/1471-2288-13-117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037599795
116 https://doi.org/10.1186/1471-2288-13-117
117 rdf:type schema:CreativeWork
118 sg:pub.10.1186/s12889-015-2617-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029840600
119 https://doi.org/10.1186/s12889-015-2617-1
120 rdf:type schema:CreativeWork
121 https://app.dimensions.ai/details/publication/pub.1078875274 schema:CreativeWork
122 https://app.dimensions.ai/details/publication/pub.1079146125 schema:CreativeWork
123 https://doi.org/10.1002/9781118543504.ch38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006202931
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.ajic.2018.02.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103170797
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.ijmedinf.2016.09.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043416414
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.socscimed.2014.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036893152
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.socscimed.2017.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084108927
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.techfore.2005.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024927093
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/s0020-7489(00)00044-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032699612
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/s2468-2667(17)30136-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090275166
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1056/nejmp1107294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021545253
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1080/13642987.2012.710840 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041953167
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1093/infdis/jiw280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059710269
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1093/infdis/jiw356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059710323
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1093/infdis/jiw400 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059710358
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1097/dmp.0b013e31819f4483 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060340030
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1097/phh.0000000000000508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083398058
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1111/1467-9299.00344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052564638
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1111/j.1468-4446.2009.01247.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041471125
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1128/cmr.00016-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091435109
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1136/bmj.311.7001.376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062772870
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1136/bmj.h1314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018683057
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1177/0162243916677835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052421029
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1371/journal.pcbi.1002616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043980830
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1371/journal.pone.0139701 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030026750
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1377/hlthaff.28.2.454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023299254
170 rdf:type schema:CreativeWork
171 https://doi.org/10.2807/1560-7917.es.2017.22.23.30547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090373126
172 rdf:type schema:CreativeWork
173 https://doi.org/10.4324/9781315832937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015999566
174 rdf:type schema:CreativeWork
175 https://www.grid.ac/institutes/grid.1013.3 schema:alternateName University of Sydney
176 schema:name Australian Centre for Health Engagement, Evidence and Values, School of Health and Society, Faculty of Social Science, University of Wollongong, Building 233.G05D, Wollongong, NSW, 2500, Australia. degeling@uow.edu.au.
177 Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Westmead, NSW, Australia.
178 Marie Bashir Institute for Infectious Disease and Biosecurity, University of Sydney, Sydney, NSW, Australia.
179 Sydney Health Ethics, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia.
180 Sydney Health Ethics, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia. degeling@uow.edu.au.
181 rdf:type schema:Organization
 




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


...