{"id":"https://openalex.org/W3054960812","doi":"https://doi.org/10.1186/s40537-020-00339-0","title":"The best statistical model to estimate predictors of under-five mortality in Ethiopia","display_name":"The best statistical model to estimate predictors of under-five mortality in Ethiopia","publication_year":2020,"publication_date":"2020-08-17","ids":{"openalex":"https://openalex.org/W3054960812","doi":"https://doi.org/10.1186/s40537-020-00339-0","mag":"3054960812"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00339-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00339-0","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00339-0","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00339-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Setegn Muche Fenta","orcid":"https://orcid.org/0000-0002-3919-2762"},"institutions":[{"id":"https://openalex.org/I4210117424","display_name":"Debre Tabor University","ror":"https://ror.org/02bzfxf13","country_code":"ET","type":"education","lineage":["https://openalex.org/I4210117424"]}],"countries":["ET"],"is_corresponding":true,"raw_author_name":"Setegn Muche Fenta","raw_affiliation_strings":["Department of Statistics, College of Science, Debre Tabor University, Debre Tabor, Ethiopia"],"raw_orcid":"https://orcid.org/0000-0002-3919-2762","affiliations":[{"raw_affiliation_string":"Department of Statistics, College of Science, Debre Tabor University, Debre Tabor, Ethiopia","institution_ids":["https://openalex.org/I4210117424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002653511","display_name":"Haile Mekonnen Fenta","orcid":"https://orcid.org/0000-0002-3919-2762"},"institutions":[{"id":"https://openalex.org/I57092466","display_name":"Bahir Dar University","ror":"https://ror.org/01670bg46","country_code":"ET","type":"education","lineage":["https://openalex.org/I57092466"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Haile Mekonnen Fenta","raw_affiliation_strings":["Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia","institution_ids":["https://openalex.org/I57092466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001609432","display_name":"Girum Meseret Ayenew","orcid":"https://orcid.org/0000-0003-2056-9272"},"institutions":[{"id":"https://openalex.org/I4210098092","display_name":"Ethiopian Public Health Institute","ror":"https://ror.org/00xytbp33","country_code":"ET","type":"facility","lineage":["https://openalex.org/I4210098092"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Girum Meseret Ayenew","raw_affiliation_strings":["Research and technology transfer directorate, Amhara Public Health Institute, P.O. Box 477, Bahir Dar, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and technology transfer directorate, Amhara Public Health Institute, P.O. Box 477, Bahir Dar, Ethiopia","institution_ids":["https://openalex.org/I4210098092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210117424"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":6.2147,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96372242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10209","display_name":"Global Maternal and Child Health","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T10209","display_name":"Global Maternal and Child Health","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T12781","display_name":"Global Health Care Issues","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"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/T11531","display_name":"Healthcare Systems and Reforms","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/negative-binomial-distribution","display_name":"Negative binomial distribution","score":0.8120213747024536},{"id":"https://openalex.org/keywords/poisson-regression","display_name":"Poisson regression","score":0.671733021736145},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.613659679889679},{"id":"https://openalex.org/keywords/deviance","display_name":"Deviance (statistics)","score":0.5734747648239136},{"id":"https://openalex.org/keywords/count-data","display_name":"Count data","score":0.5543614029884338},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5503302812576294},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5140148401260376},{"id":"https://openalex.org/keywords/birth-order","display_name":"Birth order","score":0.5039209723472595},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"Goodness of fit","score":0.4428607225418091},{"id":"https://openalex.org/keywords/mortality-rate","display_name":"Mortality rate","score":0.43193376064300537},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3736443519592285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35639941692352295},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.25426241755485535},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.08297041058540344}],"concepts":[{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.8120213747024536},{"id":"https://openalex.org/C73269764","wikidata":"https://www.wikidata.org/wiki/Q954529","display_name":"Poisson regression","level":3,"score":0.671733021736145},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.613659679889679},{"id":"https://openalex.org/C177599991","wikidata":"https://www.wikidata.org/wiki/Q3706279","display_name":"Deviance (statistics)","level":2,"score":0.5734747648239136},{"id":"https://openalex.org/C33643355","wikidata":"https://www.wikidata.org/wiki/Q5176731","display_name":"Count data","level":3,"score":0.5543614029884338},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5503302812576294},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5140148401260376},{"id":"https://openalex.org/C2779209633","wikidata":"https://www.wikidata.org/wiki/Q2914808","display_name":"Birth order","level":3,"score":0.5039209723472595},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.4428607225418091},{"id":"https://openalex.org/C179755657","wikidata":"https://www.wikidata.org/wiki/Q58702","display_name":"Mortality rate","level":2,"score":0.43193376064300537},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3736443519592285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35639941692352295},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.25426241755485535},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.08297041058540344}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-020-00339-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00339-0","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00339-0","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:493dff7154224ce3b730ba3bf0c650de","is_oa":true,"landing_page_url":"https://doaj.org/article/493dff7154224ce3b730ba3bf0c650de","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 7, Iss 1, Pp 1-14 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00339-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00339-0","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00339-0","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.699999988079071,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323473","display_name":"Bahir Dar University","ror":"https://ror.org/01670bg46"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3054960812.pdf","grobid_xml":"https://content.openalex.org/works/W3054960812.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W109690219","https://openalex.org/W302225845","https://openalex.org/W1552247668","https://openalex.org/W1595743797","https://openalex.org/W1833168476","https://openalex.org/W1955318000","https://openalex.org/W1986417772","https://openalex.org/W2005903772","https://openalex.org/W2014657328","https://openalex.org/W2019563450","https://openalex.org/W2021468496","https://openalex.org/W2047242196","https://openalex.org/W2085309210","https://openalex.org/W2086530939","https://openalex.org/W2090359868","https://openalex.org/W2106630240","https://openalex.org/W2119634512","https://openalex.org/W2134538010","https://openalex.org/W2136432990","https://openalex.org/W2152524893","https://openalex.org/W2159213874","https://openalex.org/W2231707585","https://openalex.org/W2338849605","https://openalex.org/W2476079869","https://openalex.org/W2481584500","https://openalex.org/W2530107476","https://openalex.org/W2559904335","https://openalex.org/W2560918130","https://openalex.org/W2574506922","https://openalex.org/W2614790153","https://openalex.org/W2617694600","https://openalex.org/W2620842994","https://openalex.org/W2739047140","https://openalex.org/W2742469457","https://openalex.org/W2753666478","https://openalex.org/W2788409941","https://openalex.org/W2889367209","https://openalex.org/W2916886727","https://openalex.org/W2947934572","https://openalex.org/W2948188568"],"related_works":["https://openalex.org/W2599805416","https://openalex.org/W3210390693","https://openalex.org/W2971731486","https://openalex.org/W2974887920","https://openalex.org/W4214644238","https://openalex.org/W3135460725","https://openalex.org/W2338849605","https://openalex.org/W3122903216","https://openalex.org/W2556931687","https://openalex.org/W2095810391"],"abstract_inverted_index":{"Abstract":[0],"The":[1,118,132,170,224,264],"under-five":[2,61,115,122,220,239,298],"mortality":[3,62,240],"rate":[4,31,225],"is":[5,32,277],"one":[6],"of":[7,12,20,41,60,70,82,114,121,148,172,184,189,197,203,215,226,262,290,297],"the":[8,13,30,36,53,78,112,138,145,151,160,166,185,190,258,274,279,295],"most":[9],"important":[10],"indicators":[11],"socio-economic":[14],"wellbeing":[15],"and":[16,67,75,100,126,142,154,245,257],"public":[17],"health":[18,68],"conditions":[19],"a":[21,270],"country.":[22],"Under-five":[23,227],"death":[24,113,123,221,228,299],"in":[25,63,116,159,222],"Ethiopia":[26],"has":[27],"reduced,":[28],"but":[29],"still":[33],"higher":[34],"than":[35],"sustainable":[37],"development":[38],"goal":[39],"target":[40],"20":[42],"deaths":[43],"per":[44],"1000":[45],"live":[46],"births.":[47],"This":[48],"study":[49],"aimed":[50],"to":[51,57,106,237,254],"identify":[52,107],"best":[54,146],"statistical":[55],"model":[56,136,164,176,268,283],"estimate":[58],"predictors":[59],"Ethiopia.":[64,117,223],"Ethiopian":[65],"demography":[66],"survey":[69],"2016":[71],"data":[72,286],"were":[73,85,104],"accessed":[74],"used":[76],"for":[77,156,273,284],"analysis.":[79],"A":[80],"total":[81],"14,370":[83],"women":[84],"included.":[86],"Various":[87],"count":[88,285],"models":[89],"(Poisson,":[90],"Negative":[91,96,102],"Binomial,":[92,97],"Zero-Inflated":[93,95],"Poisson,":[94,99],"Hurdle":[98,101,265,280],"Binomial)":[103],"considered":[105],"risk":[108],"factors":[109],"associated":[110],"with":[111,287],"mean":[119],"number":[120,296],"was":[124,129],"0.9":[125],"its":[127],"variance":[128],"1.":[130],"697.":[131],"hurdle":[133,161,173],"negative":[134,162,174,266,281],"binomial":[135,163,175,267,282],"had":[137],"smallest":[139],"AIC,":[140],"Deviance,":[141],"BIC,":[143],"suggesting":[144],"goodness":[147],"fit.":[149],"Besides,":[150],"predictive":[152],"value":[153],"probabilities":[155],"many":[157],"counts":[158,168],"fitted":[165],"observed":[167],"best.":[169],"result":[171],"showed":[177],"that":[178],"region,":[179],"mother\u2019s":[180],"age,":[181],"educational":[182],"level":[183,188],"father,":[186],"education":[187],"mother,":[191],"father\u2019s":[192],"occupation,":[193],"family":[194],"size,":[195],"age":[196],"mother":[198],"at":[199],"first":[200],"birth,":[201],"vaccination":[202],"child,":[204],"contraceptive":[205],"use,":[206],"birth":[207,210],"order,":[208],"preceding":[209],"interval,":[211],"twin":[212],"children,":[213],"place":[214],"delivery,":[216],"antenatal":[217,246],"visit":[218],"predict":[219],"remains":[229],"high.":[230],"Concerned":[231],"governmental":[232],"organizations":[233],"should":[234,250,300],"work":[235],"properly":[236],"reduce":[238],"through":[241],"encouraging":[242],"child":[243],"vaccinations":[244],"care":[247],"visits.":[248],"Attention":[249],"also":[251],"be":[252,301],"provided":[253,269],"multiple":[255],"births":[256],"spacing":[259],"among":[260],"order":[261],"birth.":[263],"better":[271],"fit":[272],"data.":[275],"It":[276],"argued":[278],"excess":[288],"zeros":[289],"unknown":[291],"sources":[292],"such":[293],"as":[294],"fitted.":[302]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}