Publication Information

{'id': 'https://openalex.org/W3028695384', 'doi': 'https://doi.org/10.1016/s2589-7500(20)30133-3', 'title': 'The need for privacy with public digital contact tracing during the COVID-19 pandemic', 'display_name': 'The need for privacy with public digital contact tracing during the COVID-19 pandemic', 'publication_year': 2020, 'publication_date': '2020-06-02', 'ids': {'openalex': 'https://openalex.org/W3028695384', 'doi': 'https://doi.org/10.1016/s2589-7500(20)30133-3', 'mag': '3028695384', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/32835192', 'pmcid': 'https://www.ncbi.nlm.nih.gov/pmc/articles/7266569'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1016/s2589-7500(20)30133-3', 'pdf_url': 'http://www.thelancet.com/article/S2589750020301333/pdf', 'source': {'id': 'https://openalex.org/S4210237014', 'display_name': 'The Lancet Digital Health', 'issn_l': '2589-7500', 'issn': ['2589-7500'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, 'license': 'cc-by', 'license_id': 'https://openalex.org/licenses/cc-by', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'gold', 'oa_url': 'http://www.thelancet.com/article/S2589750020301333/pdf', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5086198262', 'display_name': 'Yoshua Bengio', 'orcid': 'https://orcid.org/0000-0002-9322-3515'}, 'institutions': [{'id': 'https://openalex.org/I60158472', 'display_name': 'Concordia University', 'ror': 'https://ror.org/0420zvk78', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I60158472']}, {'id': 'https://openalex.org/I70931966', 'display_name': 'Université de Montréal', 'ror': 'https://ror.org/0161xgx34', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I70931966']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Yoshua Bengio', 'raw_affiliation_strings': ['Montreal Institute for Learning Algorithms, Université de Montréal, Montreal, QC, Canada'], 'affiliations': [{'raw_affiliation_string': 'Montreal Institute for Learning Algorithms, Université de Montréal, Montreal, QC, Canada', 'institution_ids': ['https://openalex.org/I60158472', 'https://openalex.org/I70931966']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5110412321', 'display_name': 'Richard D. Janda', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I5023651', 'display_name': 'McGill University', 'ror': 'https://ror.org/01pxwe438', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I5023651']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Richard Janda', 'raw_affiliation_strings': ['Faculty of Law, McGill University, Montreal, QC H4A 3J1, Canada'], 'affiliations': [{'raw_affiliation_string': 'Faculty of Law, McGill University, Montreal, QC H4A 3J1, Canada', 'institution_ids': ['https://openalex.org/I5023651']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5015501574', 'display_name': 'Yun William Yu', 'orcid': 'https://orcid.org/0000-0002-8275-9576'}, 'institutions': [{'id': 'https://openalex.org/I185261750', 'display_name': 'University of Toronto', 'ror': 'https://ror.org/03dbr7087', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I185261750']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Yun William Yu', 'raw_affiliation_strings': ['Department of Computer and Mathematical Sciences, University of Toronto, Toronto, ON, Canada'], 'affiliations': [{'raw_affiliation_string': 'Department of Computer and Mathematical Sciences, University of Toronto, Toronto, ON, Canada', 'institution_ids': ['https://openalex.org/I185261750']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5022994077', 'display_name': 'Daphne Ippolito', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I79576946', 'display_name': 'University of Pennsylvania', 'ror': 'https://ror.org/00b30xv10', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I79576946']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Daphne Ippolito', 'raw_affiliation_strings': ['Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA'], 'affiliations': [{'raw_affiliation_string': 'Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA', 'institution_ids': ['https://openalex.org/I79576946']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5081535977', 'display_name': 'Max Jarvie', 'orcid': None}, 'institutions': [], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Max Jarvie', 'raw_affiliation_strings': ['Borden Ladner Gervais, Montreal, QC, Canada'], 'affiliations': [{'raw_affiliation_string': 'Borden Ladner Gervais, Montreal, QC, Canada', 'institution_ids': []}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5081904882', 'display_name': 'Dan Pilat', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I4210133247', 'display_name': 'Group for Research in Decision Analysis', 'ror': 'https://ror.org/02pkvpx84', 'country_code': 'CA', 'type': 'facility', 'lineage': ['https://openalex.org/I108192572', 'https://openalex.org/I159129438', 'https://openalex.org/I4210133247', 'https://openalex.org/I45683168', 'https://openalex.org/I49663120', 'https://openalex.org/I5023651']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Dan Pilat', 'raw_affiliation_strings': ['The Decision Lab, Montreal, QC, Canada'], 'affiliations': [{'raw_affiliation_string': 'The Decision Lab, Montreal, QC, Canada', 'institution_ids': ['https://openalex.org/I4210133247']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5029826836', 'display_name': 'Brooke Struck', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I4210133247', 'display_name': 'Group for Research in Decision Analysis', 'ror': 'https://ror.org/02pkvpx84', 'country_code': 'CA', 'type': 'facility', 'lineage': ['https://openalex.org/I108192572', 'https://openalex.org/I159129438', 'https://openalex.org/I4210133247', 'https://openalex.org/I45683168', 'https://openalex.org/I49663120', 'https://openalex.org/I5023651']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Brooke Struck', 'raw_affiliation_strings': ['The Decision Lab, Montreal, QC, Canada'], 'affiliations': [{'raw_affiliation_string': 'The Decision Lab, Montreal, QC, Canada', 'institution_ids': ['https://openalex.org/I4210133247']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5064194974', 'display_name': 'Sekoul Krastev', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I4210133247', 'display_name': 'Group for Research in Decision Analysis', 'ror': 'https://ror.org/02pkvpx84', 'country_code': 'CA', 'type': 'facility', 'lineage': ['https://openalex.org/I108192572', 'https://openalex.org/I159129438', 'https://openalex.org/I4210133247', 'https://openalex.org/I45683168', 'https://openalex.org/I49663120', 'https://openalex.org/I5023651']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Sekoul Krastev', 'raw_affiliation_strings': ['The Decision Lab, Montreal, QC, Canada'], 'affiliations': [{'raw_affiliation_string': 'The Decision Lab, Montreal, QC, Canada', 'institution_ids': ['https://openalex.org/I4210133247']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5020254504', 'display_name': 'Abhinav Sharma', 'orcid': 'https://orcid.org/0000-0002-2346-8330'}, 'institutions': [{'id': 'https://openalex.org/I2801766832', 'display_name': 'McGill University Health Centre', 'ror': 'https://ror.org/04cpxjv19', 'country_code': 'CA', 'type': 'healthcare', 'lineage': ['https://openalex.org/I2801766832']}], 'countries': ['CA'], 'is_corresponding': True, 'raw_author_name': 'Abhinav Sharma', 'raw_affiliation_strings': ['McGill University Health Centre Research Institute, McGill University, Montreal, QC H4A 3J1, Canada'], 'affiliations': [{'raw_affiliation_string': 'McGill University Health Centre Research Institute, McGill University, Montreal, QC H4A 3J1, Canada', 'institution_ids': ['https://openalex.org/I2801766832']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 7, 'corresponding_author_ids': ['https://openalex.org/A5020254504'], 'corresponding_institution_ids': ['https://openalex.org/I2801766832'], 'apc_list': {'value': 5000, 'currency': 'USD', 'value_usd': 5000, 'provenance': 'doaj'}, 'apc_paid': {'value': 5000, 'currency': 'USD', 'value_usd': 5000, 'provenance': 'doaj'}, 'fwci': 34.089, 'has_fulltext': True, 'fulltext_origin': 'pdf', 'cited_by_count': 141, 'citation_normalized_percentile': {'value': 0.999983, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 99, 'max': 100}, 'biblio': {'volume': '2', 'issue': '7', 'first_page': 'e342', 'last_page': 'e344'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T12943', 'display_name': 'COVID-19 Digital Contact Tracing', 'score': 0.9996, 'subfield': {'id': 'https://openalex.org/subfields/1710', 'display_name': 'Information Systems'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T12943', 'display_name': 'COVID-19 Digital Contact Tracing', 'score': 0.9996, 'subfield': {'id': 'https://openalex.org/subfields/1710', 'display_name': 'Information Systems'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10764', 'display_name': 'Privacy-Preserving Technologies in Data', 'score': 0.9774, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T11446', 'display_name': 'Mobile Health and mHealth Applications', 'score': 0.9708, 'subfield': {'id': 'https://openalex.org/subfields/3600', 'display_name': 'General Health Professions'}, 'field': {'id': 'https://openalex.org/fields/36', 'display_name': 'Health Professions'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/contact-tracing', 'display_name': 'Contact tracing', 'score': 0.84937894}, {'id': 'https://openalex.org/keywords/pandemic', 'display_name': 'Pandemic', 'score': 0.7995891}, {'id': 'https://openalex.org/keywords/2019-20-coronavirus-outbreak', 'display_name': '2019-20 coronavirus outbreak', 'score': 0.59757715}, {'id': 'https://openalex.org/keywords/tracing', 'display_name': 'Tracing', 'score': 0.43502212}], 'concepts': [{'id': 'https://openalex.org/C113162765', 'wikidata': 'https://www.wikidata.org/wiki/Q1128437', 'display_name': 'Contact tracing', 'level': 5, 'score': 0.84937894}, {'id': 'https://openalex.org/C3008058167', 'wikidata': 'https://www.wikidata.org/wiki/Q84263196', 'display_name': 'Coronavirus disease 2019 (COVID-19)', 'level': 4, 'score': 0.8260194}, {'id': 'https://openalex.org/C89623803', 'wikidata': 'https://www.wikidata.org/wiki/Q12184', 'display_name': 'Pandemic', 'level': 5, 'score': 0.7995891}, {'id': 'https://openalex.org/C3006700255', 'wikidata': 'https://www.wikidata.org/wiki/Q81068910', 'display_name': '2019-20 coronavirus outbreak', 'level': 3, 'score': 0.59757715}, {'id': 'https://openalex.org/C3007834351', 'wikidata': 'https://www.wikidata.org/wiki/Q82069695', 'display_name': 'Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)', 'level': 5, 'score': 0.5458262}, {'id': 'https://openalex.org/C108827166', 'wikidata': 'https://www.wikidata.org/wiki/Q175975', 'display_name': 'Internet privacy', 'level': 1, 'score': 0.48856816}, {'id': 'https://openalex.org/C159047783', 'wikidata': 'https://www.wikidata.org/wiki/Q7215', 'display_name': 'Virology', 'level': 1, 'score': 0.46137154}, {'id': 'https://openalex.org/C138673069', 'wikidata': 'https://www.wikidata.org/wiki/Q322229', 'display_name': 'Tracing', 'level': 2, 'score': 0.43502212}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.29458642}, {'id': 'https://openalex.org/C71924100', 'wikidata': 'https://www.wikidata.org/wiki/Q11190', 'display_name': 'Medicine', 'level': 0, 'score': 0.24822834}, {'id': 'https://openalex.org/C524204448', 'wikidata': 'https://www.wikidata.org/wiki/Q788926', 'display_name': 'Infectious disease (medical specialty)', 'level': 3, 'score': 0.098355085}, {'id': 'https://openalex.org/C116675565', 'wikidata': 'https://www.wikidata.org/wiki/Q3241045', 'display_name': 'Outbreak', 'level': 2, 'score': 0.09524134}, {'id': 'https://openalex.org/C2779134260', 'wikidata': 'https://www.wikidata.org/wiki/Q12136', 'display_name': 'Disease', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C142724271', 'wikidata': 'https://www.wikidata.org/wiki/Q7208', 'display_name': 'Pathology', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C111919701', 'wikidata': 'https://www.wikidata.org/wiki/Q9135', 'display_name': 'Operating system', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 3, 'locations': [{'is_oa': True, 'landing_page_url': 'https://doi.org/10.1016/s2589-7500(20)30133-3', 'pdf_url': 'http://www.thelancet.com/article/S2589750020301333/pdf', 'source': {'id': 'https://openalex.org/S4210237014', 'display_name': 'The Lancet Digital Health', 'issn_l': '2589-7500', 'issn': ['2589-7500'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, 'license': 'cc-by', 'license_id': 'https://openalex.org/licenses/cc-by', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, {'is_oa': True, 'landing_page_url': 'https://escholarship.mcgill.ca/concern/articles/hh63t1415', 'pdf_url': 'http://escholarship.mcgill.ca/downloads/tq57nw80b', 'source': {'id': 'https://openalex.org/S4306401568', 'display_name': 'eScholarship@McGill (McGill)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I5023651', 'host_organization_name': 'McGill University', 'host_organization_lineage': ['https://openalex.org/I5023651'], 'host_organization_lineage_names': ['McGill University'], 'type': 'repository'}, 'license': 'cc-by-nc-nd', 'license_id': 'https://openalex.org/licenses/cc-by-nc-nd', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, {'is_oa': True, 'landing_page_url': 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266569', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S2764455111', 'display_name': 'PubMed Central', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I1299303238', 'host_organization_name': 'National Institutes of Health', 'host_organization_lineage': ['https://openalex.org/I1299303238'], 'host_organization_lineage_names': ['National Institutes of Health'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1016/s2589-7500(20)30133-3', 'pdf_url': 'http://www.thelancet.com/article/S2589750020301333/pdf', 'source': {'id': 'https://openalex.org/S4210237014', 'display_name': 'The Lancet Digital Health', 'issn_l': '2589-7500', 'issn': ['2589-7500'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, 'license': 'cc-by', 'license_id': 'https://openalex.org/licenses/cc-by', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'sustainable_development_goals': [{'score': 0.7, 'display_name': 'Good health and well-being', 'id': 'https://metadata.un.org/sdg/3'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 6, 'referenced_works': ['https://openalex.org/W2805313504', 'https://openalex.org/W2919115771', 'https://openalex.org/W3012782857', 'https://openalex.org/W3013215798', 'https://openalex.org/W3017780014', 'https://openalex.org/W3026012496'], 'related_works': ['https://openalex.org/W4308017287', 'https://openalex.org/W4280491013', 'https://openalex.org/W3183300108', 'https://openalex.org/W3180778739', 'https://openalex.org/W3107152225', 'https://openalex.org/W3033635008', 'https://openalex.org/W3032320397', 'https://openalex.org/W3027835066', 'https://openalex.org/W3025176011', 'https://openalex.org/W3017171836'], 'abstract_inverted_index': {'Digital': [0, 59], 'contact': [1, 16, 38, 113, 161, 194, 196, 205, 243, 336, 587, 704, 713, 731, 861, 1163, 1536, 1674, 1813], 'tracing': [2, 17, 39, 114, 162, 244, 519, 588, 689, 714, 1537, 1814], 'applications': [3, 216, 352, 434, 475, 520, 604, 1606, 1786], 'represent': [4], 'a': [5, 124, 375, 575, 586, 726, 786, 894, 901, 937, 1084, 1196, 1203, 1239, 1504, 1534, 1539, 1553, 1563, 1704, 1708, 1720, 1737, 1756, 1772, 1854, 1857], 'powerful': [6], 'yet': [7], 'controversial': [8], 'strategy': [9, 1427], 'to': [10, 23, 84, 104, 184, 189, 249, 299, 303, 314, 370, 440, 448, 486, 542, 567, 595, 634, 661, 682, 695, 729, 748, 771, 784, 792, 802, 833, 905, 910, 924, 1001, 1046, 1069, 1082, 1090, 1100, 1133, 1207, 1212, 1226, 1305, 1338, 1346, 1370, 1375, 1405, 1483, 1509, 1514, 1541, 1593, 1607, 1637, 1654, 1747, 1796, 1808, 1833, 1838, 1841, 1845, 1882], 'combat': [11, 1847], 'the': [12, 66, 105, 144, 150, 170, 272, 301, 312, 320, 346, 351, 396, 402, 441, 471, 508, 522, 529, 532, 554, 582, 599, 717, 737, 750, 804, 838, 872, 911, 953, 956, 972, 975, 1012, 1035, 1048, 1102, 1138, 1174, 1213, 1255, 1258, 1274, 1277, 1316, 1380, 1390, 1393, 1415, 1434, 1450, 1468, 1485, 1512, 1522, 1559, 1571, 1576, 1583, 1589, 1594, 1598, 1639, 1643, 1659, 1667, 1723, 1726, 1729, 1762, 1765, 1788, 1798, 1804, 1818, 1821, 1848, 1868, 1924, 1934], 'COVID-19': [13, 256, 290, 637, 814, 1112, 1488, 1523, 1590, 1738, 1822, 1858, 1870], 'pandemic.': [14, 1823, 1849], 'Manual': [15], 'has': [18], 'important': [19], 'challenges,': [20], 'not': [21, 424, 620, 776, 890, 1074, 1192, 1718, 1745, 1778], 'limited': [22], 'recall': [24], 'bias': [25], 'and': [26, 71, 88, 135, 167, 180, 264, 271, 377, 412, 445, 501, 572, 597, 616, 630, 664, 667, 680, 698, 734, 743, 762, 775, 812, 827, 843, 884, 897, 917, 928, 955, 990, 1004, 1024, 1032, 1041, 1060, 1073, 1110, 1127, 1143, 1186, 1199, 1219, 1230, 1257, 1294, 1308, 1328, 1372, 1378, 1382, 1392, 1447, 1460, 1491, 1582, 1621, 1666, 1794, 1806, 1837, 1875, 1903, 1910, 1913, 1919, 1921, 1930], 'delays': [27], 'in': [28, 65, 123, 165, 277, 280, 353, 470, 489, 507, 515, 528, 581, 712, 851, 1017, 1151, 1321, 1597, 1650, 1703, 1761, 1862, 1884, 1928], 'communicating': [29], 'with': [30, 334, 534, 602, 646, 821, 877, 946, 1121, 1179, 1248, 1351, 1652, 1733, 1736, 1783], 'high-risk': [31, 696], 'contacts.1Sun': [32], 'K': [33, 138, 390], 'Viboud': [34], 'C': [35, 324], 'Impact': [36], 'of': [37, 68, 127, 146, 172, 254, 266, 274, 319, 350, 398, 422, 430, 443, 473, 481, 495, 524, 531, 584, 611, 736, 764, 796, 837, 952, 1014, 1034, 1062, 1094, 1137, 1254, 1318, 1354, 1503, 1518, 1521, 1533, 1558, 1573, 1588, 1661, 1669, 1725, 1731, 1752, 1759, 1764, 1800, 1820, 1831, 1853], 'on': [40, 108, 240, 258, 361, 547, 677, 807, 871, 893, 936, 1105, 1173, 1195, 1238, 1411], 'SARS-CoV-2': [41, 329], 'transmission.Lancet': [42], 'Infect': [43], 'Dis.': [44], '2020;': [45, 152, 338, 404], '(published': [46, 153, 405], 'online': [47, 154, 406], 'April': [48, 460, 1543], '27.)https://doi.org/10.1016/S1473-3099(20)30357-1Summary': [49], 'Full': [50, 52], 'Text': [51, 53], 'PDF': [54], 'Scopus': [55, 99, 234, 341], '(42)': [56], 'Google': [57, 101, 179, 236, 343], 'Scholar': [58, 102, 157, 202, 237, 344, 409, 467, 565, 1550, 1698], 'technologies': [60, 192, 483, 1815, 1825], 'are': [61, 381, 1568, 1648, 1664, 1744, 1777, 1851], 'already': [62], 'increasingly': [63], 'used': [64, 120, 660, 923, 958, 1225, 1260, 1337, 1396, 1430], 'context': [67], 'health-care': [69], 'delivery': [70], 'clinical': [72], 'trials.2Sharma': [73], 'A': [74, 203, 1529], 'Harrington': [75], 'RA': [76], 'McClellan': [77], 'MB': [78], 'et': [79, 327, 1530, 1687], 'al.Using': [80], 'digital': [81, 112, 160, 204, 335, 516, 730, 860, 1162, 1535, 1812], 'health': [82, 110, 705, 865, 948, 1167, 1250], 'technology': [83], 'better': [85], 'generate': [86], 'evidence': [87], 'deliver': [89], 'evidence-based': [90], 'care.J': [91], 'Am': [92], 'Coll': [93], 'Cardiol.': [94], '2018;': [95], '71:': [96], '2680-2690Crossref': [97], 'PubMed': [98, 233, 340], '(159)': [100], 'Due': [103], 'considerable': [106], 'strain': [107], 'public': [109, 513, 600, 648, 669, 683, 846, 947, 964, 1146, 1249, 1266, 1625, 1792, 1835], 'institutions,': [111], 'through': [115, 169, 900, 1202], 'mobile': [116], 'phones': [117, 1446], 'is': [118, 457, 476, 484, 614, 977, 1279, 1357, 1436, 1442, 1552, 1602, 1712], 'being': [119], 'or': [121, 175, 355, 626, 650, 654, 685, 723, 783, 794, 863, 881, 1081, 1092, 1165, 1183, 1363, 1421, 1463, 1626, 1740, 1767], 'explored': [122], 'growing': [125], 'number': [126, 1799], 'countries': [128, 414], 'despite': [129], 'concerns': [130, 383], 'raised': [131], 'over': [132, 1280], 'individual': [133, 252, 279, 302, 362, 505, 869, 1171, 1579], 'privacy': [134, 149, 363, 401, 499, 506, 624, 828, 1128, 1394, 1832], 'state': [136, 526, 720], 'surveillance.3Servick': [137], 'Cellphone': [139, 391], 'tracking': [140, 392], 'could': [141, 393], 'help': [142, 394, 1846], 'stem': [143, 395], 'spread': [145, 397], 'coronavirus.': [147, 399], 'Is': [148, 400], 'price?.Science.': [151, 403], 'March': [155, 407, 558], '22.)DOI:10.1126/science.abb8296Google': [156, 408], 'Mobile': [158], 'phone-enabled': [159], 'colocalises': [163], 'individuals': [164, 211, 1348, 1601, 1636, 1715, 1735, 1840], 'time': [166], 'space': [168], 'use': [171, 190, 354, 472, 735, 1033, 1557, 1668], 'GPS,': [173], 'Bluetooth,': [174], 'other': [176, 413, 446, 878, 1180, 1352, 1734, 1742, 1938], 'such': [177, 215, 261, 417, 544, 585, 603, 778, 1019, 1076, 1323, 1574, 1605, 1784], 'technologies.': [178, 517], 'Apple': [181], 'have': [182, 213, 311, 358, 415, 435, 511, 1608], 'promised': [183], 'provide': [185], 'frameworks': [186], 'for': [187, 193, 288, 428, 719, 725, 758, 915, 963, 1056, 1217, 1265, 1389, 1454, 1481, 1494, 1585, 1604, 1656, 1790], 'how': [188], 'their': [191, 907, 1209], 'tracing.4AppleGooglePrivacy-preserving': [195], 'tracing.https://www.apple.com/covid19/contacttracingDate': [197, 1675], 'accessed:': [198, 463, 561, 1546, 1676, 1694], 'May': [199, 464, 562, 1547, 1677, 1691, 1695], '11,': [200, 465, 563, 1678], '2020Google': [201, 466, 564, 1549, 1679, 1697], 'trail': [206], 'can': [207, 238, 295, 592, 657, 692, 699, 1768, 1816], 'be': [208, 296, 371, 487, 579, 593, 618, 644, 658, 674, 740, 746, 755, 790, 831, 849, 875, 891, 922, 933, 944, 960, 969, 988, 998, 1007, 1038, 1044, 1053, 1088, 1131, 1149, 1177, 1193, 1224, 1235, 1246, 1262, 1271, 1292, 1302, 1311, 1368, 1398, 1403, 1429, 1479, 1510], 'created': [209], 'when': [210, 1349], 'who': [212, 1716, 1802], 'downloaded': [214], 'come': [217, 436], 'into': [218], 'physical': [219], 'proximity.': [220], 'Machine-learning': [221], 'strategies5Lecun': [222], 'Y': [223, 225, 1684], 'Bengio': [224, 1683], 'Hinton': [226], 'G': [227], 'Deep': [228], 'learning.Nature.': [229], '2015;': [230], '521:': [231], '436-444Crossref': [232], '(54998)': [235], 'improve': [239], 'simple': [241], 'binary': [242, 420], 'systems': [245], 'by': [246, 1600], 'providing': [247], 'methods': [248], 'calculate': [250], 'quantifiable': [251], 'risk': [253, 286, 426, 429, 1859], 'acquiring': [255, 289], 'depending': [257], 'specific': [259], 'features': [260], 'as': [262, 779, 1020, 1077, 1324], 'distance': [263], 'duration': [265], 'interaction,': [267], 'self-reported': [268], 'comorbidities,': [269], 'demographics,': [270], 'presence': [273], 'any': [275, 647, 1623], 'symptoms': [276], 'each': [278, 609], 'an': [281, 284, 359, 545, 868, 1170, 1359, 1616], 'interaction.': [282], 'As': [283], "individual's": [285], 'level': [287], 'increases,': [291], 'various': [292], 'behavioural': [293], 'messages': [294], 'delivered': [297], 'quickly': [298], 'enable': [300, 1839], 'take': [304], 'appropriate,': [305], 'measured': [306], 'action.': [307], 'These': [308], 'multiple': [309], 'advantages': [310], 'potential': [313, 347, 718], 'establish': [315], 'rapid': [316], 'epidemiological': [317, 665, 916, 1218, 1469, 1519], 'control': [318, 333, 1373, 1520, 1587], 'pandemic.6Ferretti': [321], 'L': [322, 452], 'Wymant': [323], 'Kendall': [325], 'M': [326], 'al.Quantifying': [328], 'transmission': [330], 'suggests': [331], 'epidemic': [332], 'tracing.Science.': [337], '368eabb6936Crossref': [339], '(1683)': [342], 'Despite': [345], 'advantages,': [348], 'most': [349], 'under': [356, 437], 'consideration': [357], 'impact': [360], 'that': [364, 701, 867, 1169, 1432, 1476, 1499, 1566, 1614, 1618, 1663, 1701, 1706, 1713, 1741, 1775], 'democratic': [365, 378, 539, 1829], 'societies': [366, 540], 'would': [367, 1507, 1612, 1633], 'normally': [368], 'consider': [369], 'unacceptably': [372], 'high.': [373], 'In': [374, 1570], 'free': [376], 'society,': [379], 'there': [380], 'major': [382], 'regarding': [384, 859, 1161], 'privacy.': [385], 'The': [386, 688, 1333, 1386, 1471, 1750], 'UK,': [387], 'Australia,': [388], 'Singapore,3Servick': [389], 'South': [410], 'Korea,': [411], 'deployed': [416], 'tools': [418], '(using': [419], 'variables': [421], 'contact,': [423], 'scalar': [425], 'probabilities': [427], 'infection);': [431], 'however,': [432], 'these': [433, 474, 482, 930, 1232, 1376], 'scrutiny': [438], 'relating': [439], 'ability': [442], 'governments': [444], 'groups': [447], 'access': [449, 1374], 'personal': [450, 496, 765, 864, 1063, 1166, 1440, 1906, 1914], 'information.7Lin': [451], 'Martin': [453], 'TW': [454], 'How': [455], 'coronavirus': [456], 'eroding': [458], 'privacy.https://www.wsj.com/articles/coronavirus-paves-way-for-new-age-of-digital-surveillance-11586963028Date:': [459], '15,': [461], '2020Date': [462, 560, 1545, 1693], 'Public': [468], 'trust': [469, 514, 601, 1362, 1836], 'paramount': [477], 'because': [478], 'widespread': [479], 'adoption': [480], 'needed': [485], 'effective': [488], 'curbing': [490], 'viral': [491], 'transmission.': [492], 'Indiscriminate': [493], 'collection': [494], 'information,': [497], 'chronic': [498], 'breaches,': [500], 'lax': [502], 'attitudes': [503], 'towards': [504], 'private': [509, 651, 686, 1627], 'sector': [510], 'eroded': [512], 'Moreover,': [518], 'raise': [521], 'spectre': [523], 'generalised': [525], 'surveillance': [527], 'face': [530, 1572], 'pandemic,': [533], 'potentially': [535], 'devastating': [536], 'consequences': [537], 'if': [538, 1771], 'learn': [541], 'accept': [543], 'intrusion': [546], 'civil': [548, 1580], 'liberties.8Harari': [549], 'YN': [550], 'Yuval': [551], 'Noah': [552], 'Harari:': [553], 'world': [555], 'after': [556], 'coronavirus.https://www.ft.com/content/19d90308-6858-11ea-a3c9-1fe6fedcca75Date:': [557], '20,': [559, 1548, 1696], 'Therefore,': [566], 'counteract': [568], 'both': [569], 'negative': [570], 'perceptions': [571], 'genuine': [573], 'threats,': [574], 'privacy-protecting': [576, 727], 'approach': [577, 728, 1472, 1565, 1617], 'must': [578, 617, 739, 745, 754, 789, 848, 1037, 1043, 1052, 1087, 1148, 1367, 1402, 1478, 1826], 'central': [580, 895, 1197, 1624], 'development': [583, 836, 1136], 'application.': [589], 'Several': [590], 'strategies': [591, 1655], 'leveraged': [594], 'increase': [596], 'maintain': [598, 1834], '(panel).': [605], 'Express': [606], 'consent': [607, 633, 757, 801, 1055, 1099, 1477, 1620, 1807], 'at': [608, 752, 1050, 1500], 'step': [610], 'data': [612, 642, 656, 672, 774, 797, 844, 855, 888, 920, 931, 942, 1072, 1095, 1144, 1156, 1190, 1222, 1233, 1244, 1441, 1465, 1493, 1632], 'sharing': [613, 1779], 'crucial': [615], 'meaningful,': [619], 'buried': [621], 'within': [622], 'lengthy': [623], 'policies': [625], 'vague': [627], 'language': [628], 'agreements,': [629], 'includes': [631, 800, 1098], 'express': [632, 756, 1054], 'anonymously': [635], 'share': [636, 772, 813, 1070, 1111, 1492, 1748, 1809], 'test': [638, 781, 815, 1079, 1113, 1489], 'results.': [639], 'No': [640], 'identifiable': [641, 857, 966, 1159, 1268, 1631], 'should': [643, 673, 830, 874, 889, 898, 921, 932, 943, 959, 968, 982, 987, 997, 1006, 1010, 1130, 1176, 1191, 1200, 1223, 1234, 1245, 1261, 1270, 1286, 1291, 1301, 1310, 1314, 1397, 1428], 'shared': [645, 876, 945, 1178, 1247], 'institution': [649], 'enterprise.': [652], 'Pseudonymised': [653], 'aggregate': [655], 'adequately': [659], 'develop': [662], 'machine-learning': [663, 787, 918, 926, 1085, 1220, 1228, 1340, 1451], 'models': [666, 1341], 'inform': [668, 925, 1227], 'policy.': [670], 'Otherwise': [671], 'kept': [675], 'encrypted': [676], "users'": [678], 'devices': [679], 'inaccessible': [681], 'authorities': [684, 706], 'interests.': [687, 1943], 'application': [690, 738, 751, 873, 879, 954, 1036, 1049, 1175, 1181, 1256, 1381, 1391, 1416, 1425, 1513, 1560, 1599, 1766, 1805, 1861, 1885], 'itself': [691], 'propagate': [693], 'alerts': [694], 'contacts': [697, 1732], 'recommend': [700], 'users': [702, 744, 768, 880, 1042, 1066, 1182, 1482, 1743, 1801], 'voluntarily': [703], 'where': [707], 'relevant,': [708], 'thereby': [709, 1641], 'assisting': [710], 'markedly': [711], 'while': [715], 'minimising': [716], 'surveillance,': [721], 'snooping,': [722], 'vigilantism.PanelRecommendations': [724], 'tracingConsent•Download,': [732], 'installation,': [733, 1031], 'entirely': [741, 1039], 'voluntary,': [742, 1040], 'able': [747, 791, 1045, 1089, 1404], 'uninstall': [749, 1047], 'will•There': [753, 1051], 'all': [759, 1057, 1438], 'collection,': [760, 1058], 'use,': [761, 1059], 'disclosure': [763, 1061], 'information': [766, 841, 858, 866, 908, 967, 1064, 1141, 1160, 1168, 1210, 1269, 1336], '(ie,': [767, 1065], 'might': [769, 1067, 1754], 'choose': [770, 1068], 'some': [773, 1071], 'others,': [777, 1075], 'official': [780, 1078], 'results': [782, 1080, 1114], 'feed': [785, 1083], 'model)•Individuals': [788, 1086], 'opt-in': [793, 1091, 1710, 1785], 'opt-out': [795, 1093], 'sharing.': [798, 1096], 'This': [799, 1097, 1356, 1781], 'download': [803, 1101, 1484, 1638, 1803], 'application,': [805, 839, 1103, 1139, 1486, 1640], 'turn': [806, 1104], 'location': [808, 1028, 1106, 1332], 'services,': [809, 1107], 'receive': [810, 1108, 1719], 'notifications,': [811, 1109], 'resultsOversight•A': [816], 'non-partisan': [817, 1117, 1361], 'independent': [818, 1118, 1407], 'oversight': [819, 853, 1119, 1153], 'committee': [820, 1120, 1154], 'representatives': [822, 847, 1122, 1147], 'from': [823, 971, 1123, 1273, 1414, 1444, 1449, 1467, 1629, 1867, 1880, 1890, 1908, 1916, 1923], 'legal,': [824, 1124], 'health,': [825, 1125], 'machine-learning,': [826, 1126], 'experts': [829, 1129], 'established': [832, 1132, 1369], 'oversee': [834, 1134], 'ongoing': [835, 1135, 1384], 'its': [840, 1140, 1383], 'ecosystem,': [842, 1142], 'governance•Importantly,': [845, 1145], 'included': [850, 1150], 'this': [852, 1152], 'committeeVirtual': [854], 'acquisition•No': [856], 'trails': [862, 1164], 'enters': [870, 1172], 'public,': [882, 1184], 'private,': [883, 1185], 'governmental': [885, 1187], 'agencies•Individual': [886, 1188], 'geolocation': [887, 1189], 'stored': [892, 934, 1194, 1236], 'server': [896, 1198], 'pass': [899, 1201], 'rigourous': [902, 1204], 'obfuscation': [903, 1205], 'protocol': [904, 1206], 'reduce': [906, 1208], 'content': [909, 1211], 'bare': [912, 1214], 'minimum': [913, 1215], 'required': [914, 1216], 'modelling•Pseudonymised': [919, 1221], 'models,': [927, 1229], 'only': [929, 1231, 1457], 'centrally': [935, 1237], 'protected': [938, 1240], 'server•Only': [939, 1241], 'non-identifiable': [940, 1242], 'aggregated': [941, 1243], 'institutions•The': [949, 1251], 'source': [950, 1252, 1387], 'code': [951, 1253, 1388], 'algorithms': [957, 1259], 'made': [961, 1263], 'accessible': [962, 1264], 'scrutiny•Personal': [965, 1267], 'deleted': [970, 1272, 1443, 1448], 'device': [973, 1275], 'once': [974, 1276, 1433], 'pandemic': [976, 1278, 1435, 1591], 'overInformed': [978], 'decision': [979, 1282], 'making•User': [980], 'preferences': [981, 1285], 'drive': [983, 1287], 'end-to-end': [984, 1288], 'experience•User': [985, 1289], 'comprehension': [986, 1290], 'prioritised': [989, 1293], 'verified': [991, 1295], 'rather': [992, 1296, 1417], 'than': [993, 1297, 1418], 'assumed•User': [994, 1298], 'psychosocial': [995, 1299], 'wellbeing': [996, 1300], 'promoted•User': [999, 1303], 'empowerment': [1000, 1304], 'protect': [1002, 1306, 1371], 'themselves': [1003, 1307], 'others': [1005, 1309, 1776], 'maximised•User': [1008, 1312], 'inclusivity': [1009, 1313], 'acknowledge': [1011, 1315], 'diversity': [1013, 1317], 'user': [1015, 1319, 1763, 1773], 'needs': [1016, 1320], 'dimensions': [1018, 1322], 'gender,': [1021, 1325], 'race,': [1022, 1326], 'education,': [1023, 1327], 'rural': [1025, 1329], 'vs': [1026, 1330], 'urban': [1027, 1331], 'Consent': [1029], '•Download,': [1030], 'Oversight': [1115], '•A': [1116], 'Virtual': [1155], 'acquisition': [1157], '•No': [1158], 'Informed': [1281], 'making': [1283], '•User': [1284], 'granular': [1334], 'non-identifying': [1335], 'train': [1339], 'generally': [1342], 'contains': [1343], 'sufficient': [1344], 'detail': [1345], 're-identify': [1347], 'correlated': [1350], 'sources': [1353], 'data.': [1355, 1810], 'why': [1358], 'independent,': [1360], 'similar': [1364], 'fiduciary': [1365], 'structure': [1366], 'data,': [1377, 1462], 'manage': [1379], 'development.': [1385, 1886], 'protocols': [1395], 'publicly': [1399], 'available.': [1400], 'Individuals': [1401], 'make': [1406, 1842], 'informed': [1408, 1843], 'choices': [1409, 1844], 'based': [1410], 'recommendations': [1412], 'released': [1413], 'using': [1419, 1511], 'coercive': [1420], 'penalising': [1422], 'strategies.': [1423], 'An': [1424], 'self-destruction': [1426], 'so': [1431], 'over,': [1437], 'application-related': [1439], "participants'": [1445], 'server,': [1452], 'leaving': [1453], 'further': [1455], 'research,': [1456], 'de-identified,': [1458], 'aggregated,': [1459], 'statistical': [1461], 'artificial': [1464], 'generated': [1466], 'model.': [1470], 'presented': [1473], 'here': [1474], 'advocates': [1475], 'explicating': [1480], 'transmit': [1487], 'results,': [1490], 'research.': [1495], 'Recent': [1496], 'projections': [1497], 'suggest': [1498, 1613], 'least': [1501], '56%': [1502], "country's": [1505], 'population': [1506], 'need': [1508, 1584, 1789], 'ensure': [1515], 'maximal': [1516], 'chance': [1517], 'pandemic.9Hinch': [1524], 'R': [1525], 'Probert': [1526], 'W': [1527], 'Nurtay': [1528], 'al.Effective': [1531], 'configurations': [1532], 'app:': [1538], 'report': [1540], 'NHSX.https://cdn.theconversation.com/static_files/files/1009/Report_-_Effective_App_Configurations.pdf?1587531217Date:': [1542], '16,': [1544], 'There': [1551], 'tension': [1554], 'between': [1555, 1578], 'mandating': [1556], 'versus': [1561, 1671], 'having': [1562], 'consent-based': [1564], 'we': [1567], 'advocating.': [1569], 'tension,': [1575], 'trade-off': [1577], 'rights': [1581], 'population-level': [1586, 1609, 1644], 'comes': [1592], 'forefront.': [1595], 'Trust': [1596], 'pivotal': [1603], 'benefit.': [1610, 1645], 'We': [1611, 1850], 'advocating': [1615], 'emphasises': [1619, 1707, 1787], 'prevents': [1622], 'authority': [1628], 'accessing': [1630], 'embolden': [1634], 'more': [1635], 'optimising': [1642], 'Various': [1646], 'designs': [1647], 'currently': [1649], 'place': [1651], 'regard': [1653], 'identifying': [1657], 'contacts,': [1658], 'types': [1660], 'notifications': [1662, 1753], 'received,': [1665], 'centralised': [1670], 'decentralised': [1672], 'approaches.4AppleGooglePrivacy-preserving': [1673], 'Scholar,': [1680], '10Alsdurf': [1681], 'H': [1682], 'Deleu': [1685], 'T': [1686], 'al.COVI': [1688], 'white': [1689], 'paper.https://arxiv.org/abs/2005.08502Date:': [1690], '18,': [1692], 'One': [1699], 'question': [1700], 'arises': [1702], 'system': [1705], 'consent-based,': [1709], 'approach,': [1711], 'among': [1714], 'do': [1717], 'notification,': [1721], 'does': [1722], 'absence': [1724, 1730, 1751], 'notification': [1727], 'imply': [1728], 'infection': [1739], 'consenting': [1746], 'data?': [1749], 'create': [1755], 'false': [1757], 'sense': [1758], 'security': [1760], 'cause': [1769], 'frustration': [1770], 'presumes': [1774], 'information.': [1780], 'limitation': [1782], 'broad': [1791], 'outreach': [1793], 'education': [1795], 'optimise': [1797], 'Leveraging': [1811], 'change': [1817], 'course': [1819], 'Such': [1824], 'robustly': [1827], 'support': [1828, 1879], 'principles': [1830], 'part': [1852], 'team': [1855], 'developing': [1856], 'awareness': [1860], 'Canada.': [1863], 'YWY': [1864], 'reports': [1865, 1888], 'funding': [1866, 1878, 1922], 'Toronto': [1869], 'Action': [1871], 'Initiative.': [1872], 'DP,': [1873], 'BS,': [1874], 'SK': [1876], 'received': [1877], 'Mila': [1881], 'assist': [1883], 'AS': [1887], 'grants': [1889, 1912], 'Fonds': [1891], 'de': [1892], 'la': [1893], 'Recherche': [1894], 'en': [1895], 'Sante': [1896], 'du': [1897], 'Quebec—Junior': [1898], '1': [1899], 'clinician': [1900], 'scientist': [1901], 'programme': [1902], 'Bristol-Myers': [1904], 'Squibb-Pfizer,': [1905], 'fees': [1907, 1915], 'Novartis': [1909], 'AstraZeneca,': [1911], 'Roche': [1917], 'Diagnostics': [1918], 'Boehringer-Ingelheim,': [1920], 'McGill': [1925], 'Interdisciplinary': [1926], 'Initiative': [1927], 'Infection': [1929], 'Immunity': [1931], '(Mi4),': [1932], 'outside': [1933], 'submitted': [1935], 'work.': [1936], 'All': [1937], 'authors': [1939], 'declare': [1940], 'no': [1941], 'competing': [1942]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3028695384', 'counts_by_year': [{'year': 2024, 'cited_by_count': 11}, {'year': 2023, 'cited_by_count': 23}, {'year': 2022, 'cited_by_count': 29}, {'year': 2021, 'cited_by_count': 54}, {'year': 2020, 'cited_by_count': 21}], 'updated_date': '2024-12-24T07:14:07.776997', 'created_date': '2020-06-05'}