{"id":"https://openalex.org/W4412373220","doi":"https://doi.org/10.70135/seejph.vi.2723","title":"Application of Leslie Matrix Model in Human Population Dynamics and Public Health","display_name":"Application of Leslie Matrix Model in Human Population Dynamics and Public Health","publication_year":2024,"publication_date":"2024-12-11","ids":{"openalex":"https://openalex.org/W4412373220","doi":"https://doi.org/10.70135/seejph.vi.2723"},"language":"en","primary_location":{"id":"doi:10.70135/seejph.vi.2723","doi":"https://doi.org/10.70135/seejph.vi.2723","is_oa":true,"landing_page_url":"https://doi.org/10.70135/seejph.vi.2723","pdf_url":"https://seejph.com/index.php/seejph/article/download/2723/1797","source":{"id":"https://openalex.org/S4387289660","display_name":"South Eastern European Journal of Public Health","issn_l":"2197-5248","issn":["2197-5248"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["erih-plus","poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"South Eastern European Journal of Public Health","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://seejph.com/index.php/seejph/article/download/2723/1797","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022188786","display_name":"Vikas Kumar","orcid":"https://orcid.org/0000-0002-5630-7306","observed_orcids":["https://orcid.org/0000-0002-5630-7306"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vikas Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Vanshika Jain","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3132702812","display_name":"Uttaranchal University","ror":"https://ror.org/00ba6pg24","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132702812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vanshika Jain","raw_affiliation_strings":["School of Applied and Life Sciences , Uttaranchal University , Dehradun , 248007 , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Applied and Life Sciences , Uttaranchal University , Dehradun , 248007 , India","institution_ids":["https://openalex.org/I3132702812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088068182","display_name":"Garima Tomar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garima Tomar","raw_affiliation_strings":["School of Allied Science , Dev Bhoomi Uttarakhand University , Dehradun , 248007 , U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Allied Science , Dev Bhoomi Uttarakhand University , Dehradun , 248007 , U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"N.S. Chauhan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I134705546","display_name":"Teerthanker Mahaveer University","ror":"https://ror.org/04vkd2013","country_code":"IN","type":"education","lineage":["https://openalex.org/I134705546"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N.S. Chauhan","raw_affiliation_strings":["Department of Mathematics , Faculty of Engineering (FOE) , Teerthanker Mahaveer University , Moradabad , Uttar Pradesh - 244001 , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics , Faculty of Engineering (FOE) , Teerthanker Mahaveer University , Moradabad , Uttar Pradesh - 244001 , India","institution_ids":["https://openalex.org/I134705546"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vinod Chandra","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vinod Chandra","raw_affiliation_strings":["Department of Mathematics , Government P. G. College Karanprayag , 246444 , U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics , Government P. G. College Karanprayag , 246444 , U.K","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Shankar Lal","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shankar Lal","raw_affiliation_strings":["Department of Mathematics , H.N.B .G.U. Campus , Badshahithaul , Tehri Garhwal- 249199 , U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics , H.N.B .G.U. Campus , Badshahithaul , Tehri Garhwal- 249199 , U.K","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8641,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86023495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"444","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"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/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.015599999576807022,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational 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/T14509","display_name":"demographic modeling and climate adaptation","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leslie-matrix","display_name":"Leslie matrix","score":0.8769999742507935},{"id":"https://openalex.org/keywords/age-structured-population-dynamics","display_name":"age-structured population dynamics","score":0.8650000095367432},{"id":"https://openalex.org/keywords/population-projections","display_name":"population projections","score":0.7300000190734863},{"id":"https://openalex.org/keywords/female-population","display_name":"female population","score":0.49399998784065247},{"id":"https://openalex.org/keywords/india","display_name":"India","score":0.47699999809265137},{"id":"https://openalex.org/keywords/eigenvalues","display_name":"eigenvalues","score":0.628000020980835},{"id":"https://openalex.org/keywords/population-forecasting","display_name":"population forecasting","score":0.7149999737739563},{"id":"https://openalex.org/keywords/public-health-planning","display_name":"public health planning","score":0.8209999799728394}],"concepts":[{"id":"https://openalex.org/C202294334","wikidata":"https://www.wikidata.org/wiki/Q943800","display_name":"Leslie matrix","level":3,"score":0.7318917512893677},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.6146309971809387},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.470429390668869},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4587266147136688},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4538699984550476},{"id":"https://openalex.org/C2988889268","wikidata":"https://www.wikidata.org/wiki/Q6787876","display_name":"Matrix model","level":3,"score":0.4440215826034546},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3971586227416992},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26539701223373413},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.26192858815193176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24702119827270508},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.1942388117313385},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14372238516807556},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12415584921836853},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07491785287857056},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.70135/seejph.vi.2723","doi":"https://doi.org/10.70135/seejph.vi.2723","is_oa":true,"landing_page_url":"https://doi.org/10.70135/seejph.vi.2723","pdf_url":"https://seejph.com/index.php/seejph/article/download/2723/1797","source":{"id":"https://openalex.org/S4387289660","display_name":"South Eastern European Journal of Public Health","issn_l":"2197-5248","issn":["2197-5248"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["erih-plus","poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"South Eastern European Journal of Public Health","raw_type":"journal-article"},{"id":"pmh:oai:ojs2.ojs1:article/2723","doi":null,"is_oa":true,"landing_page_url":"https://www.seejph.com/index.php/seejph/article/view/2723","pdf_url":"https://www.seejph.com/index.php/seejph/article/download/2723/1797","source":{"id":"https://openalex.org/S4387289660","display_name":"South Eastern European Journal of Public Health","issn_l":"2197-5248","issn":["2197-5248"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["erih-plus","poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2197-5248","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.70135/seejph.vi.2723","doi":"https://doi.org/10.70135/seejph.vi.2723","is_oa":true,"landing_page_url":"https://doi.org/10.70135/seejph.vi.2723","pdf_url":"https://seejph.com/index.php/seejph/article/download/2723/1797","source":{"id":"https://openalex.org/S4387289660","display_name":"South Eastern European Journal of Public Health","issn_l":"2197-5248","issn":["2197-5248"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["erih-plus","poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"South Eastern European Journal of Public Health","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.428600013256073}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412373220.pdf","grobid_xml":"https://content.openalex.org/works/W4412373220.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2184960155","https://openalex.org/W1027833429","https://openalex.org/W4382893461","https://openalex.org/W2318527846","https://openalex.org/W4293436839","https://openalex.org/W2015671406","https://openalex.org/W2229226872","https://openalex.org/W73255568","https://openalex.org/W3209046675","https://openalex.org/W4390405093"],"abstract_inverted_index":{"This":[0,142],"paper":[1],"delves":[2],"into":[3,189],"the":[4,24,46,51,55,98,107,111,119,136,147,169,182],"Leslie":[5,56,75,150],"Matrix":[6,151],"Population":[7],"Model":[8],"to":[9,50,78,85,185],"examine":[10],"age":[11,94,196],"specific":[12,197],"density":[13],"dependence":[14],"in":[15,32,139,154,168],"human":[16],"population":[17,87,109,152,156,191],"dynamics.":[18],"The":[19,127],"model\u2019s":[20,99,137,183],"key":[21],"properties":[22],"and":[23,67,101,165,178],"implications":[25],"of":[26,38,45,54,122,125,133,149,171],"its":[27,39,103,161],"eigen":[28],"values":[29],"are":[30,83],"explored":[31],"details,":[33],"providing":[34],"a":[35,74,90,130],"foundational":[36],"understanding":[37],"mathematical":[40],"underpinnings.":[41],"A":[42],"significant":[43],"portion":[44],"study":[47,143],"is":[48],"dedicated":[49],"practical":[52],"application":[53],"matrix,":[57],"wherein":[58],"we":[59,82,105,180],"project":[60],"India\u2019s":[61,79,172],"age-specific":[62],"female":[63,93],"numbers":[64],"between":[65],"2011":[66],"2051":[68],"at":[69],"five-years":[70],"intervals.":[71],"By":[72],"constructing":[73],"matrix":[76],"tailored":[77],"demographic":[80,140,173],"data,":[81],"able":[84],"predict":[86],"changes":[88],"with":[89],"focus":[91],"on":[92,194],"groups.":[95],"To":[96],"demonstrate":[97],"effectiveness":[100],"validate":[102],"accuracy,":[104,134],"compared":[106],"projected":[108],"for":[110,163],"year":[112],"2016":[113],"against":[114],"actual":[115],"data":[116],"provided":[117],"by":[118],"Registrar":[120],"General":[121],"India,":[123],"Govt.":[124],"India.":[126],"comparison":[128],"indicates":[129],"high":[131],"degree":[132],"underscoring":[135],"robustness":[138],"predictions.":[141],"not":[144],"only":[145],"confirm":[146],"utility":[148],"model":[153],"forecasting":[155],"dynamics":[157],"but":[158],"also":[159],"highlight":[160],"potential":[162],"planning":[164],"policy":[166],"making":[167],"context":[170],"landscape.":[174],"Through":[175],"rigorous":[176],"analysis":[177],"validation,":[179],"affirm":[181],"capacity":[184],"provide":[186],"valuable":[187],"insight":[188],"future":[190],"trends":[192],"based":[193],"current":[195],"data.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}