{"id":"https://openalex.org/W7101430261","doi":"https://doi.org/10.33545/26648881.2023.v5.i1a.69","title":"AI-enhanced health informatics frameworks for predicting infectious disease outbreak dynamics using climate, mobility, and population immunization data integration","display_name":"AI-enhanced health informatics frameworks for predicting infectious disease outbreak dynamics using climate, mobility, and population immunization data integration","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W7101430261","doi":"https://doi.org/10.33545/26648881.2023.v5.i1a.69"},"language":"en","primary_location":{"id":"doi:10.33545/26648881.2023.v5.i1a.69","doi":"https://doi.org/10.33545/26648881.2023.v5.i1a.69","is_oa":true,"landing_page_url":"https://doi.org/10.33545/26648881.2023.v5.i1a.69","pdf_url":"https://www.medicinejournal.in/archives/2023/vol5issue1/PartA/7-2-8-353.pdf","source":{"id":"https://openalex.org/S4387287748","display_name":"International Journal of Medicine Sciences","issn_l":"2664-8881","issn":["2664-8881","2664-889X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Medicine Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.medicinejournal.in/archives/2023/vol5issue1/PartA/7-2-8-353.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Roland Abi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2800598127","display_name":"University College Hospital, Ibadan","ror":"https://ror.org/022yvqh08","country_code":"NG","type":"healthcare","lineage":["https://openalex.org/I2800598127"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Roland Abi","raw_affiliation_strings":["Department of Epidemiology and Medical Statistics , University College Hospital , Ibadan , Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Medical Statistics , University College Hospital , Ibadan , Nigeria","institution_ids":["https://openalex.org/I2800598127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120934417","display_name":"Oluwemimo Adetunji","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I117942362","display_name":"Western Illinois University","ror":"https://ror.org/02sshz518","country_code":"US","type":"education","lineage":["https://openalex.org/I117942362"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oluwemimo Adetunji","raw_affiliation_strings":["Department of Health Sciences and Social Work , Western Illinois University , Macomb , Illinois , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Sciences and Social Work , Western Illinois University , Macomb , Illinois , USA","institution_ids":["https://openalex.org/I117942362"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8097,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83759302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"5","issue":"1","first_page":"21","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9721999764442444,"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":0.9721999764442444,"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/T11244","display_name":"Climate Change and Health Impacts","score":0.006300000008195639,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"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":0.004900000058114529,"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/climate-data","display_name":"climate data","score":0.3059999942779541},{"id":"https://openalex.org/keywords/human-mobility","display_name":"human mobility","score":0.8149999976158142},{"id":"https://openalex.org/keywords/vaccination-coverage","display_name":"vaccination coverage","score":0.8980000019073486},{"id":"https://openalex.org/keywords/vector-borne-diseases","display_name":"vector-borne diseases","score":0.7799999713897705},{"id":"https://openalex.org/keywords/contact-dynamics","display_name":"contact dynamics","score":0.5590000152587891},{"id":"https://openalex.org/keywords/knowledge-graphs","display_name":"knowledge graphs","score":0.6890000104904175},{"id":"https://openalex.org/keywords/multi-source-data-fusion","display_name":"multi-source data fusion","score":0.7350000143051147},{"id":"https://openalex.org/keywords/early-warning-systems","display_name":"early warning systems","score":0.8450000286102295},{"id":"https://openalex.org/keywords/epidemic-preparedness","display_name":"epidemic preparedness","score":0.7710000276565552},{"id":"https://openalex.org/keywords/data-interoperability","display_name":"data interoperability","score":0.7009999752044678}],"concepts":[{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5946000218391418},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.5587999820709229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5491999983787537},{"id":"https://openalex.org/C2777042776","wikidata":"https://www.wikidata.org/wiki/Q4583103","display_name":"Preparedness","level":2,"score":0.5432000160217285},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.48399999737739563},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.4733000099658966},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46399998664855957},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.4629000127315521},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.35269999504089355},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C197352329","wikidata":"https://www.wikidata.org/wiki/Q1093434","display_name":"Citizen science","level":2,"score":0.3431999981403351},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C2778149918","wikidata":"https://www.wikidata.org/wiki/Q3291156","display_name":"Population health","level":3,"score":0.32760000228881836},{"id":"https://openalex.org/C22070199","wikidata":"https://www.wikidata.org/wiki/Q192995","display_name":"Vaccination","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C106476913","wikidata":"https://www.wikidata.org/wiki/Q7257747","display_name":"Public health informatics","level":5,"score":0.3003000020980835},{"id":"https://openalex.org/C2781273456","wikidata":"https://www.wikidata.org/wiki/Q243257","display_name":"Chikungunya","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2754000127315521},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.27399998903274536},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C90734943","wikidata":"https://www.wikidata.org/wiki/Q17008777","display_name":"Conceptualization","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.33545/26648881.2023.v5.i1a.69","doi":"https://doi.org/10.33545/26648881.2023.v5.i1a.69","is_oa":true,"landing_page_url":"https://doi.org/10.33545/26648881.2023.v5.i1a.69","pdf_url":"https://www.medicinejournal.in/archives/2023/vol5issue1/PartA/7-2-8-353.pdf","source":{"id":"https://openalex.org/S4387287748","display_name":"International Journal of Medicine Sciences","issn_l":"2664-8881","issn":["2664-8881","2664-889X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Medicine Sciences","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.33545/26648881.2023.v5.i1a.69","doi":"https://doi.org/10.33545/26648881.2023.v5.i1a.69","is_oa":true,"landing_page_url":"https://doi.org/10.33545/26648881.2023.v5.i1a.69","pdf_url":"https://www.medicinejournal.in/archives/2023/vol5issue1/PartA/7-2-8-353.pdf","source":{"id":"https://openalex.org/S4387287748","display_name":"International Journal of Medicine Sciences","issn_l":"2664-8881","issn":["2664-8881","2664-889X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Medicine Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9537000060081482,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"},{"score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7101430261.pdf","grobid_xml":"https://content.openalex.org/works/W7101430261.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2554926856","https://openalex.org/W2619383789","https://openalex.org/W2883585595","https://openalex.org/W2915444077","https://openalex.org/W3007140447","https://openalex.org/W3016700653","https://openalex.org/W3021613067","https://openalex.org/W3022714712","https://openalex.org/W3025512159","https://openalex.org/W4250152831"],"related_works":["https://openalex.org/W7217440490","https://openalex.org/W7139993819","https://openalex.org/W7219952014","https://openalex.org/W7119496057","https://openalex.org/W7220035925","https://openalex.org/W7217690169","https://openalex.org/W7164901988","https://openalex.org/W7213336983","https://openalex.org/W7128196973","https://openalex.org/W4409547212"],"abstract_inverted_index":{"The":[0],"growing":[1],"frequency":[2],"and":[3,22,38,53,71,78,91,102,126,143,157,180,193,210,217,228,245],"unpredictability":[4],"of":[5,64,195,237],"infectious":[6],"disease":[7,149],"outbreaks":[8],"underscore":[9],"the":[10,62,207,234],"urgent":[11],"need":[12],"for":[13,184,201,214],"intelligent,":[14],"data-driven":[15],"frameworks":[16,84,199,232],"that":[17,107,164],"can":[18,117,176],"anticipate":[19],"transmission":[20,124],"dynamics":[21,163],"guide":[23],"timely":[24],"interventions.":[25],"Traditional":[26],"epidemiological":[27],"models,":[28],"while":[29,151],"valuable,":[30],"often":[31],"struggle":[32],"to":[33,75,95,103],"incorporate":[34],"real-time":[35,161],"environmental,":[36],"behavioral,":[37],"immunological":[39,229],"variables,":[40],"resulting":[41],"in":[42,49],"delayed":[43],"or":[44],"incomplete":[45],"forecasts.":[46],"Recent":[47],"advances":[48],"Artificial":[50],"Intelligence":[51],"(AI)":[52],"health":[54,197,239],"informatics":[55,83,198],"have":[56],"revolutionized":[57],"outbreak":[58,203],"prediction":[59],"by":[60],"enabling":[61,241],"integration":[63],"heterogeneous":[65],"datasets":[66,101],"ranging":[67],"from":[68,154],"climate":[69,137,224],"variables":[70],"population":[72,127],"mobility":[73,152,226],"patterns":[74],"vaccination":[76,185],"coverage":[77],"genomic":[79],"surveillance.":[80],"These":[81],"AI-enhanced":[82,196],"leverage":[85],"machine":[86],"learning,":[87],"deep":[88],"neural":[89],"networks,":[90],"knowledge":[92],"graph":[93],"architectures":[94],"uncover":[96],"hidden":[97],"correlations":[98],"across":[99],"spatial-temporal":[100],"model":[104],"nonlinear":[105],"relationships":[106],"influence":[108],"pathogen":[109],"spread.":[110],"By":[111,222],"synthesizing":[112],"multisource":[113],"data,":[114,173,230],"such":[115,139],"systems":[116],"dynamically":[118],"adjust":[119],"predictions":[120],"based":[121],"on":[122],"evolving":[123],"parameters":[125],"immunity":[128],"thresholds,":[129],"thereby":[130],"improving":[131],"early":[132],"warning":[133],"accuracy.":[134],"For":[135],"example,":[136],"indicators":[138],"as":[140],"temperature,":[141],"humidity,":[142],"rainfall":[144],"correlate":[145],"strongly":[146],"with":[147,170],"vector-borne":[148],"incidence,":[150],"data":[153,220],"transport":[155],"networks":[156],"mobile":[158],"devices":[159],"reveal":[160],"contact":[162],"shape":[165],"epidemic":[166,243],"trajectories.":[167],"When":[168],"fused":[169],"immunization":[171],"registry":[172],"AI-driven":[174],"models":[175],"forecast":[177],"vulnerable":[178],"clusters":[179],"optimize":[181],"resource":[182],"allocation":[183],"campaigns.":[186],"This":[187],"paper":[188],"presents":[189],"a":[190],"comprehensive":[191],"review":[192],"conceptualization":[194],"designed":[200],"integrated":[202],"forecasting.":[204],"It":[205],"highlights":[206],"architecture,":[208],"algorithms,":[209],"interoperability":[211],"standards":[212],"required":[213],"secure,":[215],"scalable,":[216],"ethically":[218],"governed":[219],"integration.":[221],"bridging":[223],"science,":[225],"analytics,":[227],"these":[231],"redefine":[233],"predictive":[235],"capacity":[236],"public":[238],"systems,":[240],"precision":[242],"preparedness":[244],"adaptive":[246],"policymaking.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-10-28T00:00:00"}
