{"id":"https://openalex.org/W4313827618","doi":"https://doi.org/10.20956/j.v19i2.23481","title":"Modeling of COVID-19 Cases in Indonesia with the Method of Geographically Weighted Regression","display_name":"Modeling of COVID-19 Cases in Indonesia with the Method of Geographically Weighted Regression","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4313827618","doi":"https://doi.org/10.20956/j.v19i2.23481"},"language":"en","primary_location":{"id":"doi:10.20956/j.v19i2.23481","doi":"https://doi.org/10.20956/j.v19i2.23481","is_oa":true,"landing_page_url":"https://doi.org/10.20956/j.v19i2.23481","pdf_url":"https://journal.unhas.ac.id/index.php/jmsk/article/download/23481/9157","source":{"id":"https://openalex.org/S4210203012","display_name":"Jurnal Matematika Statistika dan Komputasi","issn_l":"1858-1382","issn":["1858-1382","2614-8811"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315277","host_organization_name":"Hasanuddin University","host_organization_lineage":["https://openalex.org/P4310315277"],"host_organization_lineage_names":["Hasanuddin University"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal Matematika, Statistika dan Komputasi","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.unhas.ac.id/index.php/jmsk/article/download/23481/9157","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049987636","display_name":"Samsul Arifin","orcid":"https://orcid.org/0000-0003-0805-0582","observed_orcids":["https://orcid.org/0000-0003-0805-0582"]},"institutions":[{"id":"https://openalex.org/I98301867","display_name":"Hasanuddin University","ror":"https://ror.org/00da1gf19","country_code":"ID","type":"education","lineage":["https://openalex.org/I98301867"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Samsul Arifin","raw_affiliation_strings":["Universitas Hasanuddin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Hasanuddin","institution_ids":["https://openalex.org/I98301867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006270607","display_name":"Erna Tri Herdiani","orcid":"https://orcid.org/0000-0003-2342-4247","observed_orcids":["https://orcid.org/0000-0003-2342-4247"]},"institutions":[{"id":"https://openalex.org/I98301867","display_name":"Hasanuddin University","ror":"https://ror.org/00da1gf19","country_code":"ID","type":"education","lineage":["https://openalex.org/I98301867"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Erna Tri Herdiani","raw_affiliation_strings":["Department of Statistics, Hasanuddin University, Makassar, Indonesia, 90245"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Hasanuddin University, Makassar, Indonesia, 90245","institution_ids":["https://openalex.org/I98301867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98301867"],"apc_list":null,"apc_paid":null,"fwci":0.5371,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55762305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"19","issue":"2","first_page":"342","last_page":"350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9595000147819519,"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"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9595000147819519,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.038100000470876694,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.0006000000284984708,"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/covid-19","display_name":"COVID-19 pandemic","score":0.8899999856948853},{"id":"https://openalex.org/keywords/geographically-weighted-regression","display_name":"geographically weighted regression","score":0.828000009059906},{"id":"https://openalex.org/keywords/spatial-modeling","display_name":"spatial modeling","score":0.5289999842643738},{"id":"https://openalex.org/keywords/covid-19-case-counts","display_name":"COVID-19 case counts","score":0.7960000038146973},{"id":"https://openalex.org/keywords/covid-19-mortality","display_name":"COVID-19 mortality","score":0.8600000143051147},{"id":"https://openalex.org/keywords/covid-19-recovery","display_name":"COVID-19 recovery","score":0.8740000128746033},{"id":"https://openalex.org/keywords/spatial-heterogeneity","display_name":"spatial heterogeneity","score":0.5339999794960022},{"id":"https://openalex.org/keywords/bandwidth-selection","display_name":"bandwidth selection","score":0.7850000262260437},{"id":"https://openalex.org/keywords/cross-validation","display_name":"cross-validation","score":0.8159999847412109},{"id":"https://openalex.org/keywords/indonesia","display_name":"Indonesia","score":0.8600000143051147}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7422839999198914},{"id":"https://openalex.org/C2910321205","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geographically Weighted Regression","level":2,"score":0.7190729379653931},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7021418809890747},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5131502747535706},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4995253086090088},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.479773610830307},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4717318117618561},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4701690077781677},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.45318716764450073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39212268590927124},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3750390410423279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2962488830089569},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1737566590309143},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07172700762748718},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06485238671302795},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.20956/j.v19i2.23481","doi":"https://doi.org/10.20956/j.v19i2.23481","is_oa":true,"landing_page_url":"https://doi.org/10.20956/j.v19i2.23481","pdf_url":"https://journal.unhas.ac.id/index.php/jmsk/article/download/23481/9157","source":{"id":"https://openalex.org/S4210203012","display_name":"Jurnal Matematika Statistika dan Komputasi","issn_l":"1858-1382","issn":["1858-1382","2614-8811"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315277","host_organization_name":"Hasanuddin University","host_organization_lineage":["https://openalex.org/P4310315277"],"host_organization_lineage_names":["Hasanuddin University"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal Matematika, Statistika dan Komputasi","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.20956/j.v19i2.23481","doi":"https://doi.org/10.20956/j.v19i2.23481","is_oa":true,"landing_page_url":"https://doi.org/10.20956/j.v19i2.23481","pdf_url":"https://journal.unhas.ac.id/index.php/jmsk/article/download/23481/9157","source":{"id":"https://openalex.org/S4210203012","display_name":"Jurnal Matematika Statistika dan Komputasi","issn_l":"1858-1382","issn":["1858-1382","2614-8811"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315277","host_organization_name":"Hasanuddin University","host_organization_lineage":["https://openalex.org/P4310315277"],"host_organization_lineage_names":["Hasanuddin University"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jurnal Matematika, Statistika dan Komputasi","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8048999905586243,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313827618.pdf","grobid_xml":"https://content.openalex.org/works/W4313827618.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W84060466","https://openalex.org/W1538937973","https://openalex.org/W2028226037","https://openalex.org/W2047120335","https://openalex.org/W2327004107","https://openalex.org/W3015186860","https://openalex.org/W3048419536","https://openalex.org/W3048834264","https://openalex.org/W3087660233","https://openalex.org/W3122469116","https://openalex.org/W3123451226","https://openalex.org/W3137800402","https://openalex.org/W3196573025","https://openalex.org/W4280547604","https://openalex.org/W4287824080","https://openalex.org/W6757892502","https://openalex.org/W6821069058"],"related_works":["https://openalex.org/W3098483616","https://openalex.org/W7126123871","https://openalex.org/W4380882994","https://openalex.org/W7014313501","https://openalex.org/W4323570132","https://openalex.org/W4226098759","https://openalex.org/W4401930567","https://openalex.org/W7166620548","https://openalex.org/W4285811638","https://openalex.org/W4312467595"],"abstract_inverted_index":{"The":[0,69,108,140],"COVID-19":[1,19,52],"pandemic":[2,40],"has":[3,118],"spread":[4,17],"to":[5,47],"all":[6],"corners":[7],"of":[8,18,51,78,105,122,129,134,137,146,154,164,172],"the":[9,16,26,29,49,57,76,83,91,94,103,144,152,162,170],"world,":[10],"including":[11],"Indonesia.":[12],"Various":[13],"factors":[14],"affect":[15],"cases":[20,53,148],"in":[21,54],"an":[22,119],"area":[23],"so":[24,37,81],"that":[25,38,82,88,143],"government":[27],"and":[28,34],"community":[30],"can":[31],"make":[32],"prevention":[33],"control":[35],"efforts":[36],"this":[39],"does":[41],"not":[42],"spread.":[43],"This":[44],"study":[45],"aims":[46],"model":[48,71,84,110],"number":[50,145,153,163,171],"Indonesia":[55],"using":[56,111],"Geographically":[58],"Weighted":[59],"Regression":[60],"(GWR)":[61],"method,":[62],"which":[63],"develops":[64],"a":[65,112,125,132],"linear":[66],"regression":[67],"model.":[68],"GWR":[70,109],"uses":[72],"weights":[73],"based":[74],"on":[75,93],"location":[77],"each":[79],"observation":[80],"is":[85,99],"obtained":[86,100],"for":[87],"location.":[89],"Determine":[90],"weighting":[92,116],"bandwidth.":[95],"Optimum":[96],"bandwidth":[97,121],"selection":[98],"by":[101],"minimizing":[102],"value":[104,128],"Cross-Validation":[106],"(CV).":[107],"fixed":[113],"bisquare":[114],"kernel":[115],"function":[117],"optimum":[120],"0.999948":[123],"with":[124,131,151,169],"minimum":[126],"CV":[127],"397.076.128":[130],"coefficient":[133],"determination":[135],"R2":[136],"85.1":[138],"%.":[139],"results":[141],"show":[142],"positive":[147],"positively":[149],"correlates":[150,168],"patients":[155,166,173],"who":[156,174],"died":[157,175],"from":[158,176],"COVID-19.":[159,177],"In":[160],"contrast,":[161],"recovered":[165],"negatively":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-01-09T00:00:00"}
