{"id":"https://openalex.org/W3132407382","doi":null,"title":"How Government Can Use AI and ML to Identify Spreading Infectious Diseases","display_name":"How Government Can Use AI and ML to Identify Spreading Infectious Diseases","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W3132407382","mag":"3132407382"},"language":"en","primary_location":{"id":"mag:3132407382","doi":null,"is_oa":true,"landing_page_url":"https://autopapers.ssrn.com/sol3/papers.cfm?abstract_id=3785649","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SSRN Electronic Journal","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://autopapers.ssrn.com/sol3/papers.cfm?abstract_id=3785649","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017299960","display_name":"Lakshmisri Surya","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lakshmisri Surya","raw_affiliation_strings":["Sr. Data Scientist"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sr. Data Scientist","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5017299960"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9785000085830688,"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":0.9785000085830688,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.00860000029206276,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.003000000026077032,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence-in-public-health","display_name":"artificial intelligence in public health","score":0.8140000104904175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.7509999871253967},{"id":"https://openalex.org/keywords/infectious-disease-surveillance","display_name":"infectious disease surveillance","score":0.890999972820282},{"id":"https://openalex.org/keywords/epidemic-forecasting","display_name":"epidemic forecasting","score":0.6330000162124634},{"id":"https://openalex.org/keywords/disease-transmission-modeling","display_name":"disease transmission modeling","score":0.578000009059906},{"id":"https://openalex.org/keywords/tuberculosis","display_name":"tuberculosis","score":0.7200000286102295},{"id":"https://openalex.org/keywords/influenza","display_name":"influenza","score":0.9950000047683716},{"id":"https://openalex.org/keywords/1918-influenza-pandemic","display_name":"1918 influenza pandemic","score":0.8820000290870667},{"id":"https://openalex.org/keywords/ebola","display_name":"Ebola","score":0.7720000147819519},{"id":"https://openalex.org/keywords/sars","display_name":"SARS","score":0.9559999704360962},{"id":"https://openalex.org/keywords/vaccine-prioritization","display_name":"vaccine prioritization","score":0.7179999947547913},{"id":"https://openalex.org/keywords/big-data-analytics","display_name":"big data analytics","score":0.9210000038146973},{"id":"https://openalex.org/keywords/government-health-policy","display_name":"government health policy","score":0.6340000033378601},{"id":"https://openalex.org/keywords/outbreak-response","display_name":"outbreak response","score":0.5740000009536743}],"concepts":[{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.5954569578170776},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.5426529049873352},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5363869071006775},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5000660419464111},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.4570872485637665},{"id":"https://openalex.org/C2777469322","wikidata":"https://www.wikidata.org/wiki/Q8064876","display_name":"Ebola virus","level":3,"score":0.4446479082107544},{"id":"https://openalex.org/C2781368420","wikidata":"https://www.wikidata.org/wiki/Q803874","display_name":"Biosecurity","level":2,"score":0.43361136317253113},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.37786728143692017},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.37786054611206055},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36613214015960693},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.3623945415019989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33966976404190063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3281061053276062},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2543761730194092},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.20488187670707703},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.18786010146141052},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":1,"locations":[{"id":"mag:3132407382","doi":null,"is_oa":true,"landing_page_url":"https://autopapers.ssrn.com/sol3/papers.cfm?abstract_id=3785649","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SSRN Electronic Journal","raw_type":null}],"best_oa_location":{"id":"mag:3132407382","doi":null,"is_oa":true,"landing_page_url":"https://autopapers.ssrn.com/sol3/papers.cfm?abstract_id=3785649","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SSRN Electronic Journal","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9537000060081482}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3010931892","https://openalex.org/W7205007330","https://openalex.org/W4406849152","https://openalex.org/W4285169199","https://openalex.org/W4404820158","https://openalex.org/W4399504001","https://openalex.org/W7217531538","https://openalex.org/W4401114085","https://openalex.org/W3107350132","https://openalex.org/W4405628571"],"abstract_inverted_index":{"Infectious":[0],"diseases":[1,47,101,254],"like":[2,201,255],"Spanish":[3,259],"Flu,":[4],"TB,":[5,256],"Ebola,":[6,36],"SARS":[7,37],"and":[8,38,59,86,111,127,134,173,208,221,246,258,261],"influenza":[9,39,257],"have":[10,49,61],"been":[11],"some":[12],"of":[13,17,35,78,83,89,99,108,138,156,166,180,199,205,218,230,238,252],"the":[14,20,27,41,67,75,76,87,95,97,100,106,109,121,136,164,178,228,250],"leading":[15],"causes":[16],"deaths":[18],"around":[19,40,120],"world":[21,42,122],"especially":[22,71],"in":[23,30,188,226],"low-income":[24],"countries":[25],"despite":[26],"progress":[28],"made":[29],"medicine.":[31],"The":[32,81,154],"previous":[33],"outbreak":[34],"shows":[43],"that":[44],"these":[45],"infectious":[46,79,139,167,231,253],"are":[48],"become":[50],"a":[51,236],"constant":[52],"threat":[53],"to":[54,65,73,130,133,146,150,161,190,241,267],"human":[55,206],"existence.":[56],"Healthcare":[57],"stakeholders":[58],"researchers":[60],"found":[62],"innovative":[63],"ways":[64],"support":[66],"health":[68,141,202,265],"care":[69],"sector":[70],"efforts":[72],"identify":[74],"spread":[77,98,137,165,229],"diseases.":[80,232],"application":[82],"machine":[84,219,247],"learning":[85,220,248],"use":[88],"artificial":[90,222,244],"intelligence":[91,223,245],"is":[92,102],"currently":[93],"changing":[94],"way":[96],"addressed":[103],"by":[104,224],"modeling":[105,145],"course":[107],"virus":[110],"also":[112],"finding":[113],"new":[114],"strategies":[115],"for":[116,177],"containment.":[117],"While":[118],"governments":[119,225],"collaborate":[123],"with":[124],"local":[125],"officials":[126],"healthcare":[128],"professionals":[129],"monitor,":[131],"respond":[132],"slow":[135],"diseases,":[140,168],"experts":[142],"utilize":[143],"predictive":[144],"improve":[147],"current":[148],"intervention":[149],"avoid":[151],"further":[152],"infections.":[153],"development":[155],"mathematical":[157],"tools":[158],"allows":[159,264],"scientists":[160],"better":[162,268],"predict":[163],"consider":[169],"each":[170],"pathogen's":[171],"specificities":[172],"define":[174],"possible":[175],"priorities":[176],"delivery":[179],"vaccines.":[181],"Big":[182],"data":[183],"analytics":[184],"can":[185,195],"be":[186],"invaluable":[187],"responding":[189],"deadly":[191],"outbreaks,":[192],"as":[193],"they":[194],"analyses":[196],"massive":[197],"quantities":[198],"information,":[200,203],"trends":[204],"behaviors,":[207],"environmental":[209],"factors.":[210],"This":[211,233],"research":[212],"aims":[213],"at":[214],"exploring":[215],"potential":[216],"applications":[217,240],"identifying":[227],"section":[234],"covers":[235],"variety":[237],"selective":[239],"explain":[242],"how":[243,262],"advances":[249],"control":[251],"Flu":[260],"it":[263],"institutions":[266],"address":[269],"them.":[270]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:32:53.992493","created_date":"2021-03-01T00:00:00"}
