Loading…
Ethical challenges of big data in public health
Furthermore, this novel approach builds on the idea that information relevant to public health is now increasingly generated directly by the population through their use of online services, without their necessarily having engaged with the health care system [4, 5]. [...]if individuals take person...
Saved in:
| Published in: | PLoS computational biology 2015-02, Vol.11 (2), p.e1003904-e1003904 |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-c605t-8fcc99223cbddde9786c350a76c3bd24baba1b5958bcdec9c873a9a8e8d3b27c3 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c605t-8fcc99223cbddde9786c350a76c3bd24baba1b5958bcdec9c873a9a8e8d3b27c3 |
| container_end_page | e1003904 |
| container_issue | 2 |
| container_start_page | e1003904 |
| container_title | PLoS computational biology |
| container_volume | 11 |
| creator | Vayena, Effy Salathé, Marcel Madoff, Lawrence C Brownstein, John S |
| description |
Furthermore, this novel approach builds on the idea that information relevant to public health is now increasingly generated directly by the population through their use of online services, without their necessarily having engaged with the health care system [4, 5]. [...]if individuals take personal risks in order to report events of public health importance (i.e., a farmer reporting avian flu at risk of losing his flock), those risks should be mitigated by appropriate policies (e.g., compensation) that acknowledge the societal contribution and the local/personal costs. |
| doi_str_mv | 10.1371/journal.pcbi.1003904 |
| format | article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1685048848</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A418603678</galeid><doaj_id>oai_doaj_org_article_4a2319a2c701446c8700a48b8594731a</doaj_id><sourcerecordid>A418603678</sourcerecordid><originalsourceid>FETCH-LOGICAL-c605t-8fcc99223cbddde9786c350a76c3bd24baba1b5958bcdec9c873a9a8e8d3b27c3</originalsourceid><addsrcrecordid>eNqVkk1v1DAQhiMEoqXwDxDkCIfd2vH3BamqCqxUgcTH2Rp_JPHKGy9xUsG_x8umVfeIfBhr_Mw781pTVa8xWmMi8OU2zeMAcb23JqwxQkQh-qQ6x4yRlSBMPn10P6te5LwtDJOKP6_OGsY5pRyfV5c3Ux8sxNr2EKMfOp_r1NYmdLWDCeow1PvZxGDr3kOc-pfVsxZi9q-WeFH9_Hjz4_rz6vbrp8311e3KcsSmlWytVappiDXOOa-E5JYwBKIE4xpqwAA2TDFprPNWWSkIKJBeOmIaYclF9faou48p68Vr1phLhqiUVBZicyRcgq3ej2EH4x-dIOh_iTR2GsYp2Og1hYZgBY0VCBfbpRlCQKWRTFFBMBStD0u32ey8s36YRognoqcvQ-h1l-40JQ1WkhWBd4vAmH7NPk96F7L1McLg03yYm1GupBC8oOsj2kEZLQxtKoq2HOd3wabBt6HkryiWHBEuDkbfnxQUZvK_pw7mnPXm-7f_YL-csvTI2jHlPPr2wS9G-rBi99-uDyumlxUrZW8e_9VD0f1Okb_pVsxm</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1654698776</pqid></control><display><type>article</type><title>Ethical challenges of big data in public health</title><source>Publicly Available Content (ProQuest)</source><source>PubMed Central</source><creator>Vayena, Effy ; Salathé, Marcel ; Madoff, Lawrence C ; Brownstein, John S</creator><contributor>Bourne, Philip E.</contributor><creatorcontrib>Vayena, Effy ; Salathé, Marcel ; Madoff, Lawrence C ; Brownstein, John S ; Bourne, Philip E.</creatorcontrib><description>
Furthermore, this novel approach builds on the idea that information relevant to public health is now increasingly generated directly by the population through their use of online services, without their necessarily having engaged with the health care system [4, 5]. [...]if individuals take personal risks in order to report events of public health importance (i.e., a farmer reporting avian flu at risk of losing his flock), those risks should be mitigated by appropriate policies (e.g., compensation) that acknowledge the societal contribution and the local/personal costs.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1003904</identifier><identifier>PMID: 25664461</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Big data ; Biomedical Research ; Confidentiality - ethics ; Datasets ; Electronic Health Records - ethics ; Epidemiology ; Ethical aspects ; Humans ; Internet access ; Medical ethics ; Medical research ; Population ; Public health ; Public Health - ethics ; Social networks</subject><ispartof>PLoS computational biology, 2015-02, Vol.11 (2), p.e1003904-e1003904</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Vayena et al 2015 Vayena et al</rights><rights>2015 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Vayena E, Salathé M, Madoff LC, Brownstein JS (2015) Ethical Challenges of Big Data in Public Health. PLoS Comput Biol 11(2): e1003904. doi:10.1371/journal.pcbi.1003904</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c605t-8fcc99223cbddde9786c350a76c3bd24baba1b5958bcdec9c873a9a8e8d3b27c3</citedby><cites>FETCH-LOGICAL-c605t-8fcc99223cbddde9786c350a76c3bd24baba1b5958bcdec9c873a9a8e8d3b27c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4321985/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4321985/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,36992,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25664461$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bourne, Philip E.</contributor><creatorcontrib>Vayena, Effy</creatorcontrib><creatorcontrib>Salathé, Marcel</creatorcontrib><creatorcontrib>Madoff, Lawrence C</creatorcontrib><creatorcontrib>Brownstein, John S</creatorcontrib><title>Ethical challenges of big data in public health</title><title>PLoS computational biology</title><addtitle>PLoS Comput Biol</addtitle><description>
Furthermore, this novel approach builds on the idea that information relevant to public health is now increasingly generated directly by the population through their use of online services, without their necessarily having engaged with the health care system [4, 5]. [...]if individuals take personal risks in order to report events of public health importance (i.e., a farmer reporting avian flu at risk of losing his flock), those risks should be mitigated by appropriate policies (e.g., compensation) that acknowledge the societal contribution and the local/personal costs.</description><subject>Big data</subject><subject>Biomedical Research</subject><subject>Confidentiality - ethics</subject><subject>Datasets</subject><subject>Electronic Health Records - ethics</subject><subject>Epidemiology</subject><subject>Ethical aspects</subject><subject>Humans</subject><subject>Internet access</subject><subject>Medical ethics</subject><subject>Medical research</subject><subject>Population</subject><subject>Public health</subject><subject>Public Health - ethics</subject><subject>Social networks</subject><issn>1553-7358</issn><issn>1553-734X</issn><issn>1553-7358</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqVkk1v1DAQhiMEoqXwDxDkCIfd2vH3BamqCqxUgcTH2Rp_JPHKGy9xUsG_x8umVfeIfBhr_Mw781pTVa8xWmMi8OU2zeMAcb23JqwxQkQh-qQ6x4yRlSBMPn10P6te5LwtDJOKP6_OGsY5pRyfV5c3Ux8sxNr2EKMfOp_r1NYmdLWDCeow1PvZxGDr3kOc-pfVsxZi9q-WeFH9_Hjz4_rz6vbrp8311e3KcsSmlWytVappiDXOOa-E5JYwBKIE4xpqwAA2TDFprPNWWSkIKJBeOmIaYclF9faou48p68Vr1phLhqiUVBZicyRcgq3ej2EH4x-dIOh_iTR2GsYp2Og1hYZgBY0VCBfbpRlCQKWRTFFBMBStD0u32ey8s36YRognoqcvQ-h1l-40JQ1WkhWBd4vAmH7NPk96F7L1McLg03yYm1GupBC8oOsj2kEZLQxtKoq2HOd3wabBt6HkryiWHBEuDkbfnxQUZvK_pw7mnPXm-7f_YL-csvTI2jHlPPr2wS9G-rBi99-uDyumlxUrZW8e_9VD0f1Okb_pVsxm</recordid><startdate>20150201</startdate><enddate>20150201</enddate><creator>Vayena, Effy</creator><creator>Salathé, Marcel</creator><creator>Madoff, Lawrence C</creator><creator>Brownstein, John S</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150201</creationdate><title>Ethical challenges of big data in public health</title><author>Vayena, Effy ; Salathé, Marcel ; Madoff, Lawrence C ; Brownstein, John S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c605t-8fcc99223cbddde9786c350a76c3bd24baba1b5958bcdec9c873a9a8e8d3b27c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Big data</topic><topic>Biomedical Research</topic><topic>Confidentiality - ethics</topic><topic>Datasets</topic><topic>Electronic Health Records - ethics</topic><topic>Epidemiology</topic><topic>Ethical aspects</topic><topic>Humans</topic><topic>Internet access</topic><topic>Medical ethics</topic><topic>Medical research</topic><topic>Population</topic><topic>Public health</topic><topic>Public Health - ethics</topic><topic>Social networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vayena, Effy</creatorcontrib><creatorcontrib>Salathé, Marcel</creatorcontrib><creatorcontrib>Madoff, Lawrence C</creatorcontrib><creatorcontrib>Brownstein, John S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vayena, Effy</au><au>Salathé, Marcel</au><au>Madoff, Lawrence C</au><au>Brownstein, John S</au><au>Bourne, Philip E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ethical challenges of big data in public health</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2015-02-01</date><risdate>2015</risdate><volume>11</volume><issue>2</issue><spage>e1003904</spage><epage>e1003904</epage><pages>e1003904-e1003904</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>
Furthermore, this novel approach builds on the idea that information relevant to public health is now increasingly generated directly by the population through their use of online services, without their necessarily having engaged with the health care system [4, 5]. [...]if individuals take personal risks in order to report events of public health importance (i.e., a farmer reporting avian flu at risk of losing his flock), those risks should be mitigated by appropriate policies (e.g., compensation) that acknowledge the societal contribution and the local/personal costs.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25664461</pmid><doi>10.1371/journal.pcbi.1003904</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1553-7358 |
| ispartof | PLoS computational biology, 2015-02, Vol.11 (2), p.e1003904-e1003904 |
| issn | 1553-7358 1553-734X 1553-7358 |
| language | eng |
| recordid | cdi_plos_journals_1685048848 |
| source | Publicly Available Content (ProQuest); PubMed Central |
| subjects | Big data Biomedical Research Confidentiality - ethics Datasets Electronic Health Records - ethics Epidemiology Ethical aspects Humans Internet access Medical ethics Medical research Population Public health Public Health - ethics Social networks |
| title | Ethical challenges of big data in public health |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T02%3A23%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ethical%20challenges%20of%20big%20data%20in%20public%20health&rft.jtitle=PLoS%20computational%20biology&rft.au=Vayena,%20Effy&rft.date=2015-02-01&rft.volume=11&rft.issue=2&rft.spage=e1003904&rft.epage=e1003904&rft.pages=e1003904-e1003904&rft.issn=1553-7358&rft.eissn=1553-7358&rft_id=info:doi/10.1371/journal.pcbi.1003904&rft_dat=%3Cgale_plos_%3EA418603678%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c605t-8fcc99223cbddde9786c350a76c3bd24baba1b5958bcdec9c873a9a8e8d3b27c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1654698776&rft_id=info:pmid/25664461&rft_galeid=A418603678&rfr_iscdi=true |