{"id":"https://openalex.org/W3139329928","doi":"https://doi.org/10.1109/bigdata50022.2020.9377932","title":"Factors Influencing Human Mobility During The COVID-19 Pandemic in Selected Countries of Europe and North America","display_name":"Factors Influencing Human Mobility During The COVID-19 Pandemic in Selected Countries of Europe and North America","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3139329928","doi":"https://doi.org/10.1109/bigdata50022.2020.9377932","mag":"3139329928"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9377932","is_oa":true,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377932","pdf_url":"https://ieeexplore.ieee.org/ielx7/9377717/9377728/09377932.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/9377717/9377728/09377932.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072354560","display_name":"Maryam Hosseini","orcid":"https://orcid.org/0000-0002-4498-6823"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Maryam Sadat Hosseini","raw_affiliation_strings":["Systems Science and Industrial Engineering Department, Binghamton University, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Systems Science and Industrial Engineering Department, Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023167481","display_name":"Alice Masterangelo Gittler","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alice Masterangelo Gittler","raw_affiliation_strings":["Systems Science and Industrial Engineering Department, Binghamton University, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Systems Science and Industrial Engineering Department, Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072354560"],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":0.1033,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.50951138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4866","last_page":"4872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9998000264167786,"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":0.9998000264167786,"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/T12916","display_name":"COVID-19 impact on air quality","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11711","display_name":"COVID-19 Pandemic Impacts","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/declaration","display_name":"Declaration","score":0.716961145401001},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.7072281837463379},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.5120854377746582},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.508618950843811},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4772990942001343},{"id":"https://openalex.org/keywords/closure","display_name":"Closure (psychology)","score":0.47283443808555603},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.46628543734550476},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.416940838098526},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3933866322040558},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.33830106258392334},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.30156028270721436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2334808111190796},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.191259503364563},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.12581971287727356},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12094545364379883},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11753246188163757}],"concepts":[{"id":"https://openalex.org/C138147947","wikidata":"https://www.wikidata.org/wiki/Q1183659","display_name":"Declaration","level":2,"score":0.716961145401001},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.7072281837463379},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.5120854377746582},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.508618950843811},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4772990942001343},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.47283443808555603},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.46628543734550476},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.416940838098526},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3933866322040558},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.33830106258392334},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.30156028270721436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2334808111190796},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.191259503364563},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.12581971287727356},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12094545364379883},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11753246188163757},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9377932","is_oa":true,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377932","pdf_url":"https://ieeexplore.ieee.org/ielx7/9377717/9377728/09377932.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/bigdata50022.2020.9377932","is_oa":true,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377932","pdf_url":"https://ieeexplore.ieee.org/ielx7/9377717/9377728/09377932.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3139329928.pdf","grobid_xml":"https://content.openalex.org/works/W3139329928.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1495476464","https://openalex.org/W2145244857","https://openalex.org/W2151499620","https://openalex.org/W2160967673","https://openalex.org/W2788798981","https://openalex.org/W2883216736","https://openalex.org/W3002539152","https://openalex.org/W3008443627","https://openalex.org/W3009741597","https://openalex.org/W3012587129","https://openalex.org/W3012864042","https://openalex.org/W3013594674","https://openalex.org/W3013862524","https://openalex.org/W3015305783","https://openalex.org/W3019804079","https://openalex.org/W3022600932","https://openalex.org/W3023059761","https://openalex.org/W3023863810","https://openalex.org/W3025452085","https://openalex.org/W3039225830","https://openalex.org/W3087453830"],"related_works":["https://openalex.org/W2374822965","https://openalex.org/W2093418863","https://openalex.org/W2993476977","https://openalex.org/W4213003656","https://openalex.org/W3134669730","https://openalex.org/W1577817602","https://openalex.org/W2383111961","https://openalex.org/W3005398288","https://openalex.org/W2365952365","https://openalex.org/W2391956340"],"abstract_inverted_index":{"A":[0],"novel":[1,90],"coronavirus":[2],"(COVID-19)":[3],"was":[4,14,134],"first":[5],"reported":[6],"in":[7,10,117,120,172],"Wuhan,":[8],"China":[9],"December":[11],"2109":[12],"and":[13,37,50,63,69,78,96,108,113,124,127,160],"declared":[15],"a":[16,89],"global":[17],"pandemic":[18,162],"by":[19,141],"the":[20,30,53,104,161],"World":[21],"Health":[22],"Organization":[23],"on":[24],"11":[25],"March":[26],"2020.":[27],"Identification":[28],"of":[29,170],"critical":[31,41],"factors":[32],"that":[33,150],"predict":[34],"reduced":[35],"mobility":[36,95,115,174],"human":[38,94,114],"interaction":[39],"is":[40,88,97],"to":[42,61,92,136],"developing":[43],"successful":[44],"transmission":[45],"mitigation":[46],"efforts":[47],"globally.":[48],"Governments":[49],"localities":[51],"around":[52],"world":[54],"have":[55],"responded":[56],"with":[57],"wide-ranging":[58],"policies":[59,159],"related":[60],"containment":[62,107],"closure":[64,109],"such":[65],"as":[66,71,73],"travel":[67],"restrictions":[68],"stay-at-home-orders,":[70],"well":[72],"economic":[74],"benefits,":[75],"expanded":[76],"testing,":[77],"public":[79],"health":[80],"education,":[81],"among":[82],"others.":[83],"Anonymized":[84],"GPS-enabled":[85],"smartphone":[86],"data":[87],"tool":[91],"track":[93],"becoming":[98],"widely":[99],"available.":[100],"This":[101],"study":[102],"explores":[103],"relationships":[105],"between":[106],"policies,":[110],"disease":[111],"trends,":[112],"patterns":[116],"40":[118],"countries":[119],"Western,":[121],"Eastern,":[122],"Northern,":[123],"Southern":[125],"Europe":[126],"North":[128],"America.":[129],"The":[130,145],"principal":[131],"component":[132],"analysis":[133],"applied":[135],"reduce":[137],"variable":[138],"dimensions,":[139],"followed":[140],"multivariate":[142],"multiple":[143],"regression.":[144],"model":[146],"parameter":[147],"estimations":[148],"indicate":[149],"total":[151],"cases,":[152],"canceling":[153],"activities":[154],"(school,":[155],"work,":[156],"events),":[157],"mask":[158],"declaration":[163],"all":[164],"were":[165],"significant":[166],"predictors":[167],"(p<;":[168],".001)":[169],"change":[171],"workplace":[173],"from":[175],"baseline.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}