{"id":"https://openalex.org/W2170054433","doi":"https://doi.org/10.1093/inthealth/ihv009","title":"Discovering dynamic patterns from infectious disease data using dynamic mode decomposition","display_name":"Discovering dynamic patterns from infectious disease data using dynamic mode decomposition","publication_year":2015,"publication_date":"2015-02-26","ids":{"openalex":"https://openalex.org/W2170054433","doi":"https://doi.org/10.1093/inthealth/ihv009","mag":"2170054433","pmid":"https://pubmed.ncbi.nlm.nih.gov/25733564","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/4379984"},"language":"en","primary_location":{"id":"doi:10.1093/inthealth/ihv009","doi":"https://doi.org/10.1093/inthealth/ihv009","is_oa":false,"landing_page_url":"https://doi.org/10.1093/inthealth/ihv009","pdf_url":null,"source":{"id":"https://openalex.org/S524341","display_name":"International Health","issn_l":"1876-3405","issn":["1876-3405","1876-3413"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","doyens","medline","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Health","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4379984","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009969698","display_name":"Joshua L. Proctor","orcid":"https://orcid.org/0000-0002-1424-8504","observed_orcids":["https://orcid.org/0000-0002-1424-8504"]},"institutions":[{"id":"https://openalex.org/I4210161647","display_name":"Institute for Disease Modeling","ror":"https://ror.org/0532gcg76","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210161647"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joshua L. Proctor","raw_affiliation_strings":["Institute for Disease Modeling Bellevue, WA 98004, USA joshlproctor@gmail.com","Institute for Disease Modeling, Bellevue, WA 98004, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Disease Modeling Bellevue, WA 98004, USA joshlproctor@gmail.com","institution_ids":["https://openalex.org/I4210161647"]},{"raw_affiliation_string":"Institute for Disease Modeling, Bellevue, WA 98004, USA","institution_ids":["https://openalex.org/I4210161647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107988048","display_name":"Philip A. Eckhoff","orcid":"https://orcid.org/0000-0002-1278-3765","observed_orcids":["https://orcid.org/0000-0002-1278-3765"]},"institutions":[{"id":"https://openalex.org/I4210161647","display_name":"Institute for Disease Modeling","ror":"https://ror.org/0532gcg76","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210161647"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip A. Eckhoff","raw_affiliation_strings":["Institute for Disease Modeling, Bellevue, WA 98004, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Disease Modeling, Bellevue, WA 98004, USA","institution_ids":["https://openalex.org/I4210161647"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009969698"],"corresponding_institution_ids":["https://openalex.org/I4210161647"],"apc_list":{"value":2205,"currency":"GBP","value_usd":2908},"apc_paid":null,"fwci":7.7414,"has_fulltext":false,"cited_by_count":233,"citation_normalized_percentile":{"value":0.98165685,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":"2","first_page":"139","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.6509000062942505,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.6509000062942505,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.32499998807907104,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.0026000000070780516,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-mode-decomposition","display_name":"dynamic mode decomposition","score":1.0},{"id":"https://openalex.org/keywords/infectious-disease-dynamics","display_name":"infectious disease dynamics","score":0.984000027179718},{"id":"https://openalex.org/keywords/spatial-temporal-patterns","display_name":"spatial-temporal patterns","score":0.878000020980835},{"id":"https://openalex.org/keywords/google-flu-trends","display_name":"Google Flu Trends","score":0.8259999752044678},{"id":"https://openalex.org/keywords/measles-surveillance","display_name":"measles surveillance","score":0.8149999976158142},{"id":"https://openalex.org/keywords/poliomyelitis","display_name":"poliomyelitis","score":0.8980000019073486},{"id":"https://openalex.org/keywords/disease-surveillance","display_name":"disease surveillance","score":0.6159999966621399},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"resource allocation","score":0.9350000023841858},{"id":"https://openalex.org/keywords/nonlinear-dynamical-systems","display_name":"nonlinear dynamical systems","score":0.6549999713897705},{"id":"https://openalex.org/keywords/high-dimensional-time-series","display_name":"high-dimensional time series","score":0.6610000133514404}],"concepts":[{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.6402879953384399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6392002105712891},{"id":"https://openalex.org/C2776438120","wikidata":"https://www.wikidata.org/wiki/Q79793","display_name":"Measles","level":3,"score":0.49685385823249817},{"id":"https://openalex.org/C4870876","wikidata":"https://www.wikidata.org/wiki/Q12195","display_name":"Poliomyelitis","level":2,"score":0.4630257189273834},{"id":"https://openalex.org/C2776480101","wikidata":"https://www.wikidata.org/wiki/Q3555250","display_name":"Disease surveillance","level":3,"score":0.45756274461746216},{"id":"https://openalex.org/C22070199","wikidata":"https://www.wikidata.org/wiki/Q192995","display_name":"Vaccination","level":2,"score":0.42773377895355225},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3812994360923767},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3548532724380493},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.33392518758773804},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.246670663356781},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22126886248588562},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":"Q000635","qualifier_name":"transmission","is_major_topic":true},{"descriptor_ui":"D004196","descriptor_name":"Disease Outbreaks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006113","descriptor_name":"United Kingdom","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006295","descriptor_name":"Health Resources","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007251","descriptor_name":"Influenza, Human","qualifier_ui":"Q000635","qualifier_name":"transmission","is_major_topic":true},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000635","qualifier_name":"transmission","is_major_topic":true},{"descriptor_ui":"D009549","descriptor_name":"Nigeria","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011051","descriptor_name":"Poliomyelitis","qualifier_ui":"Q000635","qualifier_name":"transmission","is_major_topic":true},{"descriptor_ui":"D011159","descriptor_name":"Population Surveillance","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014611","descriptor_name":"Vaccination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1093/inthealth/ihv009","doi":"https://doi.org/10.1093/inthealth/ihv009","is_oa":false,"landing_page_url":"https://doi.org/10.1093/inthealth/ihv009","pdf_url":null,"source":{"id":"https://openalex.org/S524341","display_name":"International Health","issn_l":"1876-3405","issn":["1876-3405","1876-3413"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","doyens","medline","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Health","raw_type":"journal-article"},{"id":"pmh:oai:europepmc.org:3506890","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4379984","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:4379984","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4379984","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Int Health","raw_type":"Text"},{"id":"pmid:25733564","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25733564","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International health","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:europepmc.org:3506890","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4379984","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8371999859809875,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1579236455","https://openalex.org/W1582653889","https://openalex.org/W1633869374","https://openalex.org/W1723433682","https://openalex.org/W2014356541","https://openalex.org/W2031032025","https://openalex.org/W2040690030","https://openalex.org/W2068181924","https://openalex.org/W2071128523","https://openalex.org/W2078898317","https://openalex.org/W2080914886","https://openalex.org/W2084122703","https://openalex.org/W2085140951","https://openalex.org/W2089438775","https://openalex.org/W2090098022","https://openalex.org/W2102380402","https://openalex.org/W2112823474","https://openalex.org/W2115710526","https://openalex.org/W2117239687","https://openalex.org/W2164954534","https://openalex.org/W2405892775","https://openalex.org/W2561289204","https://openalex.org/W2754035802","https://openalex.org/W2798461040"],"related_works":["https://openalex.org/W4387889114","https://openalex.org/W2981635167","https://openalex.org/W4381548538","https://openalex.org/W4392751810","https://openalex.org/W2283199606","https://openalex.org/W4403675597","https://openalex.org/W7217692555","https://openalex.org/W3199530292","https://openalex.org/W4377821887","https://openalex.org/W4416341393"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,65],"development":[2],"and":[3,12,85,114,134,158],"application":[4],"of":[5,24,37,70,79,129,147,166],"quantitative":[6],"methods":[7],"to":[8,33,76,88,154],"understand":[9],"disease":[10,102,149],"dynamics":[11],"plan":[13],"interventions":[14],"is":[15,44,152],"becoming":[16],"increasingly":[17],"important":[18],"in":[19,55,111,120,144],"the":[20,30,35,77,86,96,112,127,130,145,164],"push":[21],"toward":[22],"eradication":[23],"human":[25],"infectious":[26,101,167],"diseases,":[27],"exemplified":[28],"by":[29],"ongoing":[31],"effort":[32],"stop":[34],"spread":[36],"poliomyelitis.":[38],"METHODS:":[39],"Dynamic":[40],"mode":[41],"decomposition":[42],"(DMD)":[43],"a":[45,68,73],"recently":[46],"developed":[47],"method":[48,97,131],"focused":[49],"on":[50,98],"discovering":[51],"coherent":[52],"spatial-temporal":[53,148],"modes":[54],"high-dimensional":[56,91],"data":[57],"collected":[58],"from":[59],"complex":[60],"systems":[61],"with":[62],"time":[63],"dynamics.":[64],"algorithm":[66],"has":[67],"number":[69],"advantages":[71],"including":[72,104],"rigorous":[74],"connection":[75],"analysis":[78,146,161],"nonlinear":[80],"systems,":[81],"an":[82,156],"equation-free":[83],"architecture,":[84],"ability":[87],"efficiently":[89],"handle":[90],"data.":[92,150],"RESULTS:":[93],"We":[94,138],"demonstrate":[95,139],"three":[99],"different":[100],"sets":[103],"Google":[105],"Flu":[106],"Trends":[107],"data,":[108],"pre-vaccination":[109],"measles":[110],"UK,":[113],"paralytic":[115],"poliomyelitis":[116],"wild":[117],"type-1":[118],"cases":[119],"Nigeria.":[121],"For":[122],"each":[123],"case,":[124],"we":[125],"describe":[126],"utility":[128],"for":[132,163],"surveillance":[133],"resource":[135],"allocation.":[136],"CONCLUSIONS:":[137],"how":[140],"DMD":[141,151],"can":[142],"aid":[143],"poised":[153],"be":[155],"effective":[157],"efficient":[159],"computational":[160],"tool":[162],"study":[165],"disease.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}