{"id":"https://openalex.org/W4400241598","doi":"https://doi.org/10.1007/s41109-024-00632-4","title":"Predicting COVID-19 infections using multi-layer centrality measures in population-scale networks","display_name":"Predicting COVID-19 infections using multi-layer centrality measures in population-scale networks","publication_year":2024,"publication_date":"2024-07-02","ids":{"openalex":"https://openalex.org/W4400241598","doi":"https://doi.org/10.1007/s41109-024-00632-4"},"language":"en","primary_location":{"id":"doi:10.1007/s41109-024-00632-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-024-00632-4","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-024-00632-4","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-024-00632-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075716556","display_name":"Christine Hedde-von Westernhagen","orcid":"https://orcid.org/0000-0002-4417-9255"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Christine Hedde-von Westernhagen","raw_affiliation_strings":["Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Groene Loper, 5612AE, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Groene Loper, 5612AE, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047736253","display_name":"Ayoub Bagheri","orcid":"https://orcid.org/0000-0001-6366-2173"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ayoub Bagheri","raw_affiliation_strings":["Department of Methodology and Statistics, Utrecht University, Padualaan, 3584CH, Utrecht, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Methodology and Statistics, Utrecht University, Padualaan, 3584CH, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045451254","display_name":"Javier Garcia\u2010Bernardo","orcid":"https://orcid.org/0000-0002-6119-1790"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Javier Garcia-Bernardo","raw_affiliation_strings":["Department of Methodology and Statistics, Utrecht University, Padualaan, 3584CH, Utrecht, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Methodology and Statistics, Utrecht University, Padualaan, 3584CH, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075716556"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":1.1638,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76583231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7674524784088135},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.7103748321533203},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5985044836997986},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.5870369076728821},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5620396137237549},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.47674641013145447},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.44180989265441895},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3484730124473572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33521759510040283},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2956964373588562},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2881043553352356},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.2677588164806366},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.254512757062912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1839880347251892},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.17605501413345337},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12609544396400452},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.12067368626594543},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.11219856142997742},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07350355386734009},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.07162180542945862},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.0662669837474823},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06333407759666443}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7674524784088135},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.7103748321533203},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5985044836997986},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.5870369076728821},{"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":0.5620396137237549},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47674641013145447},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.44180989265441895},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3484730124473572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33521759510040283},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2956964373588562},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2881043553352356},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.2677588164806366},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.254512757062912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1839880347251892},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.17605501413345337},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12609544396400452},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.12067368626594543},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.11219856142997742},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07350355386734009},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.07162180542945862},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0662669837474823},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06333407759666443}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s41109-024-00632-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-024-00632-4","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-024-00632-4","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},{"id":"pmh:oai:pure.tue.nl:publications/1f38f0b4-8f30-43f5-a2b4-4ff18623c018","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/1f38f0b4-8f30-43f5-a2b4-4ff18623c018","pdf_url":"https://pure.tue.nl/ws/files/333535626/s41109-024-00632-4.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hedde-von Westernhagen, C, Bagheri, A & Garcia-Bernardo, J 2024, 'Predicting COVID-19 Infections Using Multi-layer Centrality Measures in Population-scale Networks', Applied Network Science, vol. 9, 27. https://doi.org/10.1007/s41109-024-00632-4","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:2774e3dd3539401a8dad0421ecc9a66d","is_oa":true,"landing_page_url":"https://doaj.org/article/2774e3dd3539401a8dad0421ecc9a66d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Network Science, Vol 9, Iss 1, Pp 1-27 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41109-024-00632-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-024-00632-4","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-024-00632-4","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.75}],"awards":[{"id":"https://openalex.org/G8592584310","display_name":"ODISSEI: Better Infrastructure, Better Science, Better Society","funder_award_id":"184.035.014","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321645","display_name":"Ministerie van Volksgezondheid, Welzijn en Sport","ror":"https://ror.org/041evnj42"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400241598.pdf","grobid_xml":"https://content.openalex.org/works/W4400241598.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1606375300","https://openalex.org/W1647431324","https://openalex.org/W1807089695","https://openalex.org/W1974065980","https://openalex.org/W2039331748","https://openalex.org/W2050766178","https://openalex.org/W2056944867","https://openalex.org/W2064214397","https://openalex.org/W2078844161","https://openalex.org/W2081805563","https://openalex.org/W2120579447","https://openalex.org/W2143389120","https://openalex.org/W2161283706","https://openalex.org/W2295598076","https://openalex.org/W2342114889","https://openalex.org/W2770752180","https://openalex.org/W2811420366","https://openalex.org/W2912776724","https://openalex.org/W2963289400","https://openalex.org/W3037311948","https://openalex.org/W3037826211","https://openalex.org/W3045471069","https://openalex.org/W3081241235","https://openalex.org/W3098164384","https://openalex.org/W3102201777","https://openalex.org/W3128933847","https://openalex.org/W3160177297","https://openalex.org/W3163982509","https://openalex.org/W4220889776","https://openalex.org/W4225295888","https://openalex.org/W4226181587","https://openalex.org/W4245958676","https://openalex.org/W4283204890","https://openalex.org/W4293052867","https://openalex.org/W4321596204","https://openalex.org/W4322102235","https://openalex.org/W4379513524"],"related_works":["https://openalex.org/W3036314732","https://openalex.org/W3009669391","https://openalex.org/W4382894326","https://openalex.org/W3171943759","https://openalex.org/W3176864053","https://openalex.org/W4206669628","https://openalex.org/W4292098121","https://openalex.org/W3154141118","https://openalex.org/W4388896133","https://openalex.org/W3031607536"],"abstract_inverted_index":{"Abstract":[0],"Understanding":[1],"the":[2,10,15,79,85,97,106,120,170],"spread":[3],"of":[4,9,14,30,87,110,122,162,172,198],"SARS-CoV-2":[5,185],"has":[6],"been":[7],"one":[8,150],"most":[11],"pressing":[12],"problems":[13],"recent":[16],"past.":[17],"Network":[18],"models":[19,142],"present":[20],"a":[21,55],"potent":[22],"approach":[23],"to":[24,33,50,69,99],"studying":[25],"such":[26,134],"spreading":[27],"phenomena":[28],"because":[29],"their":[31],"ability":[32],"represent":[34],"complex":[35],"social":[36],"interactions.":[37],"While":[38],"previous":[39],"studies":[40],"have":[41],"shown":[42],"that":[43,155,190],"network":[44,146,192],"centrality":[45,102,157,181],"measures":[46,103,158,182],"are":[47,167],"generally":[48],"able":[49],"identify":[51],"influential":[52],"spreaders":[53],"in":[54,131],"susceptible":[56],"population,":[57],"it":[58],"is":[59,82],"not":[60],"yet":[61],"known":[62],"if":[63],"they":[64],"can":[65,104],"also":[66],"be":[67],"used":[68],"predict":[70,105],"infection":[71,76,164],"risks.":[72],"However,":[73],"information":[74],"about":[75],"risks":[77],"at":[78],"individual":[80,173],"level":[81],"vital":[83],"for":[84,127],"design":[86],"targeted":[88],"interventions.":[89],"Here,":[90],"we":[91,153],"use":[92],"large-scale":[93],"administrative":[94],"data":[95,147,193],"from":[96,148],"Netherlands":[98],"study":[100],"whether":[101],"risk":[107],"and":[108,138,166,183],"timing":[109,171],"infections":[111],"with":[112,169],"COVID-19-like":[113],"diseases.":[114],"We":[115,175],"investigate":[116],"this":[117],"issue":[118],"leveraging":[119],"framework":[121],"multi-layer":[123],"networks,":[124],"which":[125,188],"accounts":[126],"interactions":[128],"taking":[129],"place":[130],"different":[132],"contexts,":[133],"as":[135],"workplaces,":[136],"households":[137],"schools.":[139],"In":[140],"epidemic":[141],"simulated":[143],"on":[144],"real-world":[145],"over":[149],"million":[151],"individuals,":[152],"find":[154,177],"existing":[156],"offer":[159],"good":[160],"predictions":[161,197],"relative":[163],"risks,":[165],"correlated":[168],"infections.":[174],"however":[176],"no":[178],"association":[179],"between":[180],"real":[184],"test":[186],"data,":[187],"indicates":[189],"population-scale":[191],"alone":[194],"cannot":[195],"aid":[196],"virus":[199],"transmission.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
