{"id":"https://openalex.org/W4409156480","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10942754","title":"Temporal Analysis of Infectious Diseases","display_name":"Temporal Analysis of Infectious Diseases","publication_year":2024,"publication_date":"2024-10-27","ids":{"openalex":"https://openalex.org/W4409156480","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10942754"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf60004.2024.10942754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10942754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094294767","display_name":"Lavanya Shri S A","orcid":null},"institutions":[{"id":"https://openalex.org/I16944753","display_name":"Clarkson University","ror":"https://ror.org/03rwgpn18","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lavanya Shri S A","raw_affiliation_strings":["Clarkson University,Department of Electrical and Computer Engineering,Potsdam,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarkson University,Department of Electrical and Computer Engineering,Potsdam,NY,USA","institution_ids":["https://openalex.org/I16944753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085141819","display_name":"Mahesh K. Banavar","orcid":"https://orcid.org/0000-0002-3916-7137"},"institutions":[{"id":"https://openalex.org/I16944753","display_name":"Clarkson University","ror":"https://ror.org/03rwgpn18","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahesh K Banavar","raw_affiliation_strings":["Clarkson University,Department of Electrical and Computer Engineering,Potsdam,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarkson University,Department of Electrical and Computer Engineering,Potsdam,NY,USA","institution_ids":["https://openalex.org/I16944753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16944753"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"519","last_page":"523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9092000126838684,"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":0.9092000126838684,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5001823902130127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5001823902130127}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf60004.2024.10942754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10942754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W3033218914","https://openalex.org/W3033618701","https://openalex.org/W3036356470","https://openalex.org/W3130445189","https://openalex.org/W3170977978","https://openalex.org/W3184867523","https://openalex.org/W4292387786","https://openalex.org/W4322765655"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Infectious":[0],"diseases":[1],"have":[2,34],"presented":[3],"unprece-dented":[4],"challenges":[5],"worldwide,":[6],"highlighting":[7],"the":[8,39,47,60,85,109,134,141,150,160,175],"critical":[9],"need":[10],"for":[11,99,107,149],"accurate":[12],"and":[13,41,96,185],"timely":[14],"forecasting":[15,146,190],"of":[16,43,49,63,88,112],"infection":[17,147,170],"rates":[18,78],"to":[19,28,37,74,158],"guide":[20],"public":[21],"health":[22],"interventions.":[23],"From":[24],"sophisticated":[25],"mathematical":[26],"models":[27],"data-driven":[29],"machine":[30],"learning":[31],"techniques,":[32],"researchers":[33],"been":[35],"striving":[36],"enhance":[38,159],"accuracy":[40],"robustness":[42],"predictive":[44,61,183],"models.":[45,65],"Additionally,":[46],"integration":[48],"real-time":[50],"data":[51,122,166],"streams,":[52],"such":[53],"as":[54],"mobility":[55],"patterns,":[56],"has":[57],"further":[58],"enriched":[59],"capabilities":[62,184],"these":[64],"In":[66],"this":[67],"paper,":[68],"we":[69,156,179],"propose":[70],"a":[71,94,125],"novel":[72],"approach":[73],"predict":[75],"infectious":[76,113,191],"disease":[77,192],"using":[79],"Next-Generation":[80],"Reservoir":[81],"Computing":[82],"(NGRC),":[83],"Leveraging":[84],"temporal":[86],"dynamics":[87,193],"high-dimensional":[89],"reservoir":[90],"states,":[91],"NGRC":[92,118],"offers":[93],"flexible":[95],"efficient":[97],"framework":[98],"modeling":[100],"complex":[101],"nonlinear":[102],"dynamics,":[103],"making":[104],"it":[105],"well-suited":[106],"capturing":[108],"intricate":[110],"spread":[111],"diseases.":[114],"We":[115],"employ":[116],"an":[117],"model":[119],"trained":[120],"on":[121],"generated":[123],"from":[124,168],"modified":[126],"SEIRS":[127],"compartmental":[128],"model,":[129],"which":[130],"provides":[131],"insights":[132],"into":[133],"underlying":[135],"epidemiological":[136],"dy-namics.":[137],"Initial":[138],"evaluations":[139],"demonstrate":[140],"model's":[142,161,176],"efficacy":[143],"in":[144,189],"accurately":[145],"trends":[148],"first":[151],"few":[152],"weeks.":[153],"Moving":[154],"forward,":[155],"aim":[157],"per-formance":[162],"by":[163],"incorporating":[164],"real-world":[165],"obtained":[167],"recorded":[169],"rates.":[171],"By":[172],"iteratively":[173],"refining":[174],"training":[177],"dataset,":[178],"anticipate":[180],"improving":[181],"its":[182,187],"ensuring":[186],"effectiveness":[188],"over":[194],"extended":[195],"time":[196],"frames.":[197]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
