{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T18:05:40Z","timestamp":1764439540868,"version":"3.37.3"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9378390","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T21:10:21Z","timestamp":1616188221000},"page":"3119-3122","source":"Crossref","is-referenced-by-count":12,"title":["Leveraging Differential Privacy in Geospatial Analyses of Standardized Healthcare Data"],"prefix":"10.1109","author":[{"given":"Daniel R.","family":"Harris","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/567049"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2010.08.002"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/1556264614544103"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref14","first-page":"265","article-title":"Calibrating noise to sensitivity in private data analysis","author":"dwork","year":"2006","journal-title":"Theory of Cryptography Conference"},{"key":"ref15","first-page":"35","article-title":"Practicing differential privacy in health care: A review","volume":"6","author":"dankar","year":"2013","journal-title":"Trans Data Privacy"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI.2017.49"},{"journal-title":"Harris\/dp-omop using differential privacy with omop","year":"0","key":"ref17"},{"journal-title":"PostGIS-Spatial and Geographic Objects for PostgreSQL","year":"0","key":"ref18"},{"journal-title":"PostgreSQL The world s most advanced open source database","year":"0","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/FTC.2016.7821747"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/1524839909334624"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000376"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.15265\/IY-2017-018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12003-4_7"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5334\/egems.199"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1078\/1438-4639-00145"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1136\/jamia.2009.000026"},{"key":"ref1","first-page":"160","article-title":"The benefits of the application of geographical information systems in public and environmental health","volume":"44","author":"scholten","year":"1991","journal-title":"World Health Statistics Quarterly Rapport Trimestriel de Statistiques Sanitaires Mondiales"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.healthplace.2012.05.007"},{"journal-title":"Openaddresses the free and open global address collection","year":"0","key":"ref22"},{"journal-title":"google\/differential-privacy Google&#x2019;s differential privacy library","year":"2020","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24861-0_22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006234"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3267323.3268949"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2020,12,10]]},"location":"Atlanta, GA, USA","end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09378390.pdf?arnumber=9378390","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:53:30Z","timestamp":1656345210000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9378390\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9378390","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}