{"id":"https://openalex.org/W4297412340","doi":"https://doi.org/10.48550/arxiv.2209.11805","title":"Tracking the State and Behavior of People in Response to COVID-1 19 Through the Fusion of Multiple Longitudinal Data Streams","display_name":"Tracking the State and Behavior of People in Response to COVID-1 19 Through the Fusion of Multiple Longitudinal Data Streams","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4297412340","doi":"https://doi.org/10.48550/arxiv.2209.11805"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2209.11805","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.11805","pdf_url":"https://arxiv.org/pdf/2209.11805","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2209.11805","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038259818","display_name":"Mohamed Amine Bouzaghrane","orcid":"https://orcid.org/0000-0003-1564-5971"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bouzaghrane, Mohamed Amine","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076616102","display_name":"Hassan Obeid","orcid":"https://orcid.org/0000-0002-1329-0217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Obeid, Hassan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040521936","display_name":"Drake Hayes","orcid":"https://orcid.org/0000-0001-5454-9208"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hayes, Drake","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027120826","display_name":"Minnie Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Minnie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102905420","display_name":"Meiqing Li","orcid":"https://orcid.org/0000-0001-8860-1174"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Meiqing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019844032","display_name":"Madeleine Parker","orcid":"https://orcid.org/0000-0003-0921-4024"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parker, Madeleine","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049031617","display_name":"Daniel A. Rodr\u0131\u0301guez","orcid":"https://orcid.org/0000-0001-6550-5518"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rodr\u00edguez, Daniel A.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023437450","display_name":"Daniel G. Chatman","orcid":"https://orcid.org/0000-0001-5475-8544"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chatman, Daniel G.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068393300","display_name":"Karen Trapenberg Frick","orcid":"https://orcid.org/0000-0001-8104-7254"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Frick, Karen Trapenberg","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061803229","display_name":"Raja Sengupta","orcid":"https://orcid.org/0000-0003-4914-5844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sengupta, Raja","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103045879","display_name":"Joan L. Walker","orcid":"https://orcid.org/0000-0002-4407-0823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Walker, Joan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5038259818"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10168","display_name":"COVID-19 and Mental Health","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12943","display_name":"COVID-19 Digital Contact Tracing","score":0.9789000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.7026896476745605},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.6709054708480835},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6184964776039124},{"id":"https://openalex.org/keywords/residence","display_name":"Residence","score":0.6066559553146362},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5411677956581116},{"id":"https://openalex.org/keywords/survey-data-collection","display_name":"Survey data collection","score":0.4658181667327881},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43551698327064514},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3731708824634552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3282848000526428},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31645095348358154},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.17757007479667664},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16632279753684998},{"id":"https://openalex.org/keywords/demographic-economics","display_name":"Demographic economics","score":0.14803984761238098},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1375352144241333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0997534990310669}],"concepts":[{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.7026896476745605},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.6709054708480835},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6184964776039124},{"id":"https://openalex.org/C2776269092","wikidata":"https://www.wikidata.org/wiki/Q1611074","display_name":"Residence","level":2,"score":0.6066559553146362},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5411677956581116},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.4658181667327881},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43551698327064514},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3731708824634552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3282848000526428},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31645095348358154},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.17757007479667664},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16632279753684998},{"id":"https://openalex.org/C4249254","wikidata":"https://www.wikidata.org/wiki/Q3044431","display_name":"Demographic economics","level":1,"score":0.14803984761238098},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1375352144241333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0997534990310669},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2209.11805","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.11805","pdf_url":"https://arxiv.org/pdf/2209.11805","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2209.11805","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2209.11805","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2209.11805","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.11805","pdf_url":"https://arxiv.org/pdf/2209.11805","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2750008812","https://openalex.org/W4210436825","https://openalex.org/W2381882572","https://openalex.org/W2080253456","https://openalex.org/W4248293945","https://openalex.org/W2365113782","https://openalex.org/W419989985","https://openalex.org/W2360030603","https://openalex.org/W2390216793","https://openalex.org/W4247825976"],"abstract_inverted_index":{"The":[0,212,228],"changing":[1],"nature":[2],"of":[3,11,43,51,54,74,95,136,156,207,214,253],"the":[4,9,36,40,44,159,176,179,202,242],"COVID-19":[5,22,121,152,184,237],"pandemic":[6],"has":[7],"highlighted":[8],"importance":[10],"comprehensively":[12],"considering":[13,17],"its":[14],"impacts":[15,42,206],"and":[16,30,77,97,107,129,204,209,245,256],"changes":[18],"over":[19],"time.":[20],"Most":[21],"related":[23,238],"research":[24,28,47,167],"addresses":[25],"narrowly":[26],"focused":[27],"questions":[29,168],"is":[31,195],"therefore":[32],"limited":[33],"in":[34,225,236],"addressing":[35],"complexities":[37],"created":[38],"by":[39,140,187],"interrelated":[41],"pandemic.":[45],"Such":[46,162],"generally":[48],"makes":[49],"use":[50,73],"only":[52,81],"one":[53,82],"either":[55],"1)":[56],"actively":[57,76],"collected":[58,66,79,103,133],"data":[59,99,111,134,216,239,246,261],"such":[60,193],"as":[61],"surveys,":[62],"or":[63],"2)":[64],"passively":[65,78],"data.":[67,147],"While":[68],"a":[69,91,113,163],"few":[70],"studies":[71],"make":[72],"both":[75],"data,":[80],"other":[83,130],"study":[84,141,160,243,254],"collects":[85],"it":[86],"longitudinally.":[87],"Here":[88],"we":[89],"describe":[90],"rich":[92],"panel":[93],"dataset":[94,164],"active":[96],"passive":[98],"from":[100,144],"U.S.":[101],"residents":[102],"between":[104],"August":[105],"2020":[106],"July":[108],"2021.":[109],"Active":[110],"includes":[112],"repeated":[114],"survey":[115],"measuring":[116],"travel":[117],"behavior,":[118],"compliance":[119],"with":[120],"mandates,":[122],"physical":[123],"health,":[124],"economic":[125,205],"well-being,":[126],"vaccination":[127],"status,":[128],"factors.":[131],"Passively":[132],"consists":[135],"all":[137],"locations":[138],"visited":[139],"participants,":[142],"taken":[143],"smartphone":[145],"GPS":[146],"We":[148],"also":[149,219],"closely":[150],"tracked":[151],"policies":[153],"across":[154],"counties":[155],"residence":[157],"throughout":[158],"period.":[161],"allows":[165],"important":[166],"to":[169,174,183,197,200],"be":[170],"answered;":[171],"for":[172],"example,":[173],"determine":[175],"factors":[177],"underlying":[178],"heterogeneous":[180],"behavioral":[181,226,265],"responses":[182,194],"restrictions":[185],"imposed":[186],"local":[188],"governments.":[189],"Better":[190],"information":[191],"about":[192],"critical":[196],"our":[198],"ability":[199],"understand":[201],"societal":[203],"this":[208,215,232],"future":[210],"pandemics.":[211],"development":[213],"infrastructure":[217],"can":[218],"help":[220],"researchers":[221],"explore":[222],"new":[223],"frontiers":[224],"science.":[227],"article":[229],"explains":[230],"how":[231,258],"approach":[233],"fills":[234],"gaps":[235],"collection;":[240],"describes":[241],"design":[244],"collection":[247],"procedures;":[248],"presents":[249],"key":[250],"demographic":[251],"characteristics":[252],"participants;":[255],"shows":[257],"fusing":[259],"different":[260],"streams":[262],"helps":[263],"uncover":[264],"insights.":[266]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2022-09-28T00:00:00"}
