{"id":"https://openalex.org/W3095596475","doi":"https://doi.org/10.3389/frai.2020.559617","title":"An Interpretable Predictive Model of Vaccine Utilization for Tanzania","display_name":"An Interpretable Predictive Model of Vaccine Utilization for Tanzania","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3095596475","doi":"https://doi.org/10.3389/frai.2020.559617","mag":"3095596475","pmid":"https://pubmed.ncbi.nlm.nih.gov/33733208","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7944351"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2020.559617","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2020.559617/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/frai.2020.559617/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110719503","display_name":"Ramkumar Hariharan","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"funder","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ramkumar Hariharan","raw_affiliation_strings":["College of Engineering, Northeastern University, Seattle, WA, United States","Macro-Eyes, Inc, Seattle, WA, United States"],"affiliations":[{"raw_affiliation_string":"Macro-Eyes, Inc, Seattle, WA, United States","institution_ids":[]},{"raw_affiliation_string":"College of Engineering, Northeastern University, Seattle, WA, United States","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077549860","display_name":"Johnna Sundberg","orcid":null},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johnna Sundberg","raw_affiliation_strings":["Macro-Eyes, Inc, Seattle, WA, United States"],"affiliations":[{"raw_affiliation_string":"Macro-Eyes, Inc, Seattle, WA, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051519694","display_name":"Giacomo Gallino","orcid":null},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giacomo Gallino","raw_affiliation_strings":["Macro-Eyes, Inc, Seattle, WA, United States"],"affiliations":[{"raw_affiliation_string":"Macro-Eyes, Inc, Seattle, WA, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103933646","display_name":"Ashley Schmidt","orcid":null},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashley Schmidt","raw_affiliation_strings":["Macro-Eyes, Inc, Seattle, WA, United States"],"affiliations":[{"raw_affiliation_string":"Macro-Eyes, Inc, Seattle, WA, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057483042","display_name":"Drew Arenth","orcid":null},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Drew Arenth","raw_affiliation_strings":["Macro-Eyes, Inc, Seattle, WA, United States"],"affiliations":[{"raw_affiliation_string":"Macro-Eyes, Inc, Seattle, WA, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058767558","display_name":"Suvrit Sra","orcid":"https://orcid.org/0000-0001-8516-4925"},"institutions":[],"countries":["US"],"is_corresponding":true,"raw_author_name":"Suvrit Sra","raw_affiliation_strings":["Laboratory for Information and Decision Systems, Department of Electrical Engineering and Computer Science, MIT, MA, United States","Macro-Eyes, Inc, Seattle, WA, United States"],"affiliations":[{"raw_affiliation_string":"Macro-Eyes, Inc, Seattle, WA, United States","institution_ids":[]},{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Department of Electrical Engineering and Computer Science, MIT, MA, United States","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021681567","display_name":"Benjamin Fels","orcid":null},"institutions":[],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benjamin Fels","raw_affiliation_strings":["Macro-Eyes, Inc, Seattle, WA, United States"],"affiliations":[{"raw_affiliation_string":"Macro-Eyes, Inc, Seattle, WA, United States","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110719503","https://openalex.org/A5058767558","https://openalex.org/A5021681567"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":0.466,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":6,"citation_normalized_percentile":{"value":0.779577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":82},"biblio":{"volume":"3","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10833","display_name":"Vaccine Coverage and Hesitancy","score":0.9991,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10833","display_name":"Vaccine Coverage and Hesitancy","score":0.9991,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9984,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9758,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.54035974},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.43271267}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7069441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55828065},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.54035974},{"id":"https://openalex.org/C2779357621","wikidata":"https://www.wikidata.org/wiki/Q655495","display_name":"Tanzania","level":2,"score":0.5167122},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.50372905},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45160165},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.43271267},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.4170162},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.38173893},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33069873},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2569485},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18540159},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16308889},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16037038},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.1487065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11385229},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C91375879","wikidata":"https://www.wikidata.org/wiki/Q15473274","display_name":"Environmental planning","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2020.559617","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2020.559617/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/457fc8c3e7cf4277989edb6b5a7cfe73","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":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944351","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_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2020.559617","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2020.559617/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.42}],"grants":[{"funder":"https://openalex.org/F4320306137","funder_display_name":"Bill and Melinda Gates Foundation","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1594031697","https://openalex.org/W2021887110","https://openalex.org/W2043850254","https://openalex.org/W2061939373","https://openalex.org/W2101234009","https://openalex.org/W2191010020","https://openalex.org/W2267348261","https://openalex.org/W2401405858","https://openalex.org/W2485134383","https://openalex.org/W2600012156","https://openalex.org/W2605502565","https://openalex.org/W2911964244","https://openalex.org/W3006436762"],"related_works":["https://openalex.org/W610123486","https://openalex.org/W4403424574","https://openalex.org/W4398883732","https://openalex.org/W4398749736","https://openalex.org/W4390038797","https://openalex.org/W4250334497","https://openalex.org/W4238742044","https://openalex.org/W2901808822","https://openalex.org/W2754697109","https://openalex.org/W2065780911"],"abstract_inverted_index":{"Providing":[0],"accurate":[1],"utilization":[2,19,65,77,141],"forecasts":[3],"is":[4],"key":[5,136],"to":[6,17,125,151],"maintaining":[7],"optimal":[8],"vaccine":[9,18,48,64,76],"stocks":[10],"in":[11,102,156],"any":[12],"health":[13,81,100,154],"facility.":[14],"Current":[15],"approaches":[16],"forecasting":[20,35,88,115],"are":[21],"based":[22],"on":[23,31],"often":[24],"outdated":[25],"population":[26],"census":[27],"data,":[28],"and":[29,61,167],"rely":[30],"weak,":[32],"low-dimensional":[33],"demand":[34],"models.":[36],"Further,":[37],"these":[38],"models":[39],"provide":[40],"very":[41],"little":[42],"insights":[43,137],"into":[44,138],"factors":[45,139],"that":[46,118],"influence":[47],"utilization.":[49],"Here,":[50],"we":[51,85,133],"built":[52],"a":[53,87],"state-of-the-art,":[54],"machine":[55,70],"learning":[56,71],"model":[57],"using":[58,130],"novel,":[59],"temporally":[60],"regionally":[62],"relevant":[63],"data.":[66,169],"This":[67,143],"highly":[68],"multidimensional":[69],"approach":[72],"accurately":[73],"predicted":[74],"bi-weekly":[75],"at":[78],"the":[79,104,126,157,162],"individual":[80],"facility":[82],"level.":[83],"Specifically,":[84],"achieved":[86],"fraction":[89,116],"error":[90,117],"of":[91,98,164],"less":[92,123],"than":[93],"two":[94],"for":[95],"about":[96],"45%":[97],"regional":[99],"facilities":[101],"both":[103],"Tanzania":[105],"regions":[106],"analyzed.":[107],"Our":[108],"\u201crandom":[109],"forest":[110],"regressor\u201d":[111],"had":[112],"an":[113,147],"average":[114],"was":[119],"almost":[120],"18":[121],"times":[122],"compared":[124],"existing":[127],"system.":[128],"Importantly,":[129],"our":[131],"model,":[132],"gleaned":[134],"several":[135],"underlying":[140],"forecasts.":[142],"work":[144],"serves":[145],"as":[146],"important":[148],"starting":[149],"point":[150],"reimagining":[152],"predictive":[153],"systems":[155],"developing":[158],"world":[159],"by":[160],"leveraging":[161],"power":[163],"Artificial":[165],"Intelligence":[166],"big":[168]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3095596475","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-04-04T16:34:44.660655","created_date":"2020-11-09"}