{"id":"https://openalex.org/W4281789590","doi":"https://doi.org/10.1080/10095020.2022.2066576","title":"Quantitative spatiotemporal impact of dynamic population density changes on the COVID-19 pandemic in China\u2019s mainland","display_name":"Quantitative spatiotemporal impact of dynamic population density changes on the COVID-19 pandemic in China\u2019s mainland","publication_year":2022,"publication_date":"2022-05-26","ids":{"openalex":"https://openalex.org/W4281789590","doi":"https://doi.org/10.1080/10095020.2022.2066576"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2022.2066576","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2022.2066576","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2022.2066576?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2022.2066576?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101500638","display_name":"Guangyuan Zhang","orcid":"https://orcid.org/0000-0002-5028-2291"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guangyuan Zhang","raw_affiliation_strings":["IoT Laboratory, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"IoT Laboratory, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018639589","display_name":"Stefan Poslad","orcid":"https://orcid.org/0000-0002-3156-9609"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stefan Poslad","raw_affiliation_strings":["IoT Laboratory, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"IoT Laboratory, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073905856","display_name":"Yonglei Fan","orcid":"https://orcid.org/0000-0002-0038-4978"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yonglei Fan","raw_affiliation_strings":["IoT Laboratory, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"IoT Laboratory, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057042069","display_name":"Xiaoping Rui","orcid":"https://orcid.org/0000-0002-7764-4272"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoping Rui","raw_affiliation_strings":["School of Earth Sciences and Engineering, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057042069"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":0.8126,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66532744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"26","issue":"4","first_page":"642","last_page":"663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9983999729156494,"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":0.9983999729156494,"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/T11711","display_name":"COVID-19 Pandemic Impacts","score":0.9905999898910522,"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"}},{"id":"https://openalex.org/T12916","display_name":"COVID-19 impact on air quality","score":0.9873999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.7788039445877075},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7558572292327881},{"id":"https://openalex.org/keywords/mainland-china","display_name":"Mainland China","score":0.749217689037323},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.6235318183898926},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5585628747940063},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5370925664901733},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.5268161296844482},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48596298694610596},{"id":"https://openalex.org/keywords/mainland","display_name":"Mainland","score":0.4595052897930145},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.1876961886882782},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.1336306631565094},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12409788370132446},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.10108137130737305},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.05369102954864502},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.050445556640625}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.7788039445877075},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7558572292327881},{"id":"https://openalex.org/C107029721","wikidata":"https://www.wikidata.org/wiki/Q19188","display_name":"Mainland China","level":3,"score":0.749217689037323},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.6235318183898926},{"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":0.5585628747940063},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5370925664901733},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.5268161296844482},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48596298694610596},{"id":"https://openalex.org/C2781300146","wikidata":"https://www.wikidata.org/wiki/Q1140140","display_name":"Mainland","level":2,"score":0.4595052897930145},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.1876961886882782},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.1336306631565094},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12409788370132446},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.10108137130737305},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.05369102954864502},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.050445556640625},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10095020.2022.2066576","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2022.2066576","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2022.2066576?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c6cc7c1818c143faa462a78e61f73847","is_oa":true,"landing_page_url":"https://doaj.org/article/c6cc7c1818c143faa462a78e61f73847","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Geo-spatial Information Science, Vol 26, Iss 4, Pp 642-663 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2022.2066576","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2022.2066576","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2022.2066576?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5099999904632568,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G591226011","display_name":null,"funder_award_id":"grant number 41771478","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311061","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281789590.pdf","grobid_xml":"https://content.openalex.org/works/W4281789590.grobid-xml"},"referenced_works_count":91,"referenced_works":["https://openalex.org/W1623532987","https://openalex.org/W1968059489","https://openalex.org/W1993127001","https://openalex.org/W1994682066","https://openalex.org/W2015596149","https://openalex.org/W2018474251","https://openalex.org/W2031803634","https://openalex.org/W2042812801","https://openalex.org/W2048074350","https://openalex.org/W2066625239","https://openalex.org/W2112352537","https://openalex.org/W2150876088","https://openalex.org/W2408265715","https://openalex.org/W2487770199","https://openalex.org/W2559997726","https://openalex.org/W2797772478","https://openalex.org/W2891220458","https://openalex.org/W2913117009","https://openalex.org/W2923311191","https://openalex.org/W3003668884","https://openalex.org/W3004912618","https://openalex.org/W3007473125","https://openalex.org/W3008827533","https://openalex.org/W3009983851","https://openalex.org/W3010183736","https://openalex.org/W3011584775","https://openalex.org/W3011996584","https://openalex.org/W3012099172","https://openalex.org/W3012356508","https://openalex.org/W3012603648","https://openalex.org/W3012769470","https://openalex.org/W3013188135","https://openalex.org/W3013594674","https://openalex.org/W3013755172","https://openalex.org/W3013874785","https://openalex.org/W3014448531","https://openalex.org/W3014546836","https://openalex.org/W3014932611","https://openalex.org/W3015662904","https://openalex.org/W3015927262","https://openalex.org/W3016243898","https://openalex.org/W3016310025","https://openalex.org/W3016603561","https://openalex.org/W3016748877","https://openalex.org/W3017051018","https://openalex.org/W3019445951","https://openalex.org/W3028829252","https://openalex.org/W3033099837","https://openalex.org/W3037278709","https://openalex.org/W3039136074","https://openalex.org/W3041358155","https://openalex.org/W3048644215","https://openalex.org/W3049131078","https://openalex.org/W3080226257","https://openalex.org/W3080556368","https://openalex.org/W3080837961","https://openalex.org/W3081191700","https://openalex.org/W3081805606","https://openalex.org/W3082178766","https://openalex.org/W3084586512","https://openalex.org/W3088842068","https://openalex.org/W3089628938","https://openalex.org/W3090043972","https://openalex.org/W3090625427","https://openalex.org/W3091610971","https://openalex.org/W3092192095","https://openalex.org/W3093011094","https://openalex.org/W3094685088","https://openalex.org/W3097029053","https://openalex.org/W3097186751","https://openalex.org/W3100341145","https://openalex.org/W3100458424","https://openalex.org/W3104255848","https://openalex.org/W3106076204","https://openalex.org/W3120866034","https://openalex.org/W3122037590","https://openalex.org/W3123175540","https://openalex.org/W3123482637","https://openalex.org/W3127562448","https://openalex.org/W3128114047","https://openalex.org/W3128167862","https://openalex.org/W3187742636","https://openalex.org/W3193586460","https://openalex.org/W3203830950","https://openalex.org/W3210338592","https://openalex.org/W4234314512","https://openalex.org/W4249073844","https://openalex.org/W4250432939","https://openalex.org/W4252269157","https://openalex.org/W4301651410","https://openalex.org/W6821069058"],"related_works":["https://openalex.org/W3127156785","https://openalex.org/W2382464866","https://openalex.org/W4205754011","https://openalex.org/W2349308650","https://openalex.org/W3009669391","https://openalex.org/W4200329650","https://openalex.org/W4205215807","https://openalex.org/W3005417802","https://openalex.org/W2363784875","https://openalex.org/W4226296940"],"abstract_inverted_index":{"ABSTRACTThe":[0],"coronavirus":[1],"disease":[2],"2019":[3],"(COVID-19)":[4],"and":[5,61,90,141,179,208,214,238,268],"its":[6],"mutant":[7],"viruses":[8],"are":[9,216,244],"still":[10],"wreaking":[11],"global":[12],"havoc":[13],"over":[14],"the":[15,20,26,29,73,79,105,110,132,150,164,169,220,225,232,236,242,254,258,261,269,272],"last":[16],"two":[17],"years,":[18],"but":[19],"impact":[21,243],"of":[22,28,45,78,129,168,203,206,224,227,241,260,271],"human":[23,36],"activity":[24],"on":[25,104,196,231],"transmission":[27],"pandemic":[30],"is":[31,149,163,219],"difficult":[32],"to":[33,47,92],"ascertain.":[34],"Estimating":[35],"dynamic":[37,228],"spatiotemporal":[38],"distribution":[39,68,98],"can":[40,52,69,188],"help":[41,53],"in":[42,54,81,118,184],"our":[43],"understanding":[44],"how":[46,94],"mitigate":[48],"COVID-19":[49,101,157,170,195,233],"spread,":[50],"which":[51,148,162],"maintaining":[55],"urban":[56],"health":[57],"within":[58,64],"a":[59,65,119,155,201],"county":[60,120,133],"between":[62],"counties":[63],"country.":[66],"This":[67],"be":[70,174,189],"computed":[71],"using":[72,246],"Volunteered":[74],"Geographic":[75],"Information":[76],"(VGI)":[77],"citizens":[80],"conjunction":[82],"with":[83,125,194],"other":[84],"variables,":[85],"such":[86],"as":[87,200,263],"climatic":[88],"conditions,":[89],"used":[91],"analyze":[93],"human\u2019s":[95],"daily":[96,114],"density":[97,112,230],"quantitatively":[99],"affects":[100],"transmission.":[102],"Based":[103],"estimated":[106,245],"population":[107,111,229],"density,":[108],"when":[109],"increases":[113],"by":[115,265],"1":[116],"person/km2":[117],"or":[121],"prefectural-level":[122],"administrative":[123],"unit":[124],"an":[126,136],"average":[127,197],"size":[128],"26,000":[130],"km2,":[131],"would":[134,173],"have":[135],"additional":[137],"3.6":[138],"confirmed":[139,177],"cases":[140,144,178],"0.054":[142],"death":[143,181],"after":[145],"5":[146,175],"days,":[147,161],"illness":[151],"onset":[152],"time":[153],"for":[154],"new":[156,176],"case.":[158],"After":[159],"14":[160],"maximum":[165],"incubation":[166],"period":[167],"virus,":[171],"there":[172,187],"0.092":[180],"cases.":[182],"However,":[183],"neighboring":[185,209],"regions,":[186],"0.96":[190],"fewer":[191],"people":[192],"infected":[193],"per":[198],"day":[199],"result":[202],"strong":[204],"intervention":[205],"local":[207],"authorities.":[210],"The":[211,250],"primary":[212],"innovation":[213],"contribution":[215],"that":[217,252],"this":[218],"first":[221],"quantitative":[222],"assessment":[223],"impacts":[226],"pandemic.":[234],"Additionally,":[235],"direct":[237],"indirect":[239],"effects":[240],"spatial":[247],"panel":[248],"models.":[249],"models":[251],"control":[253],"unobserved":[255],"factors":[256],"improve":[257],"reliability":[259],"estimation,":[262],"validated":[264],"random":[266],"experiments":[267],"use":[270],"Baidu":[273],"migration":[274],"dataset.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}
