{"id":"https://openalex.org/W4387949261","doi":"https://doi.org/10.1177/09622802231206476","title":"Multivariate control charts for monitoring a bivariate correlated count process with application to meningococcal disease","display_name":"Multivariate control charts for monitoring a bivariate correlated count process with application to meningococcal disease","publication_year":2023,"publication_date":"2023-10-25","ids":{"openalex":"https://openalex.org/W4387949261","doi":"https://doi.org/10.1177/09622802231206476","pmid":"https://pubmed.ncbi.nlm.nih.gov/37881001"},"language":"en","primary_location":{"id":"doi:10.1177/09622802231206476","doi":"https://doi.org/10.1177/09622802231206476","is_oa":false,"landing_page_url":"https://doi.org/10.1177/09622802231206476","pdf_url":null,"source":{"id":"https://openalex.org/S150263959","display_name":"Statistical Methods in Medical Research","issn_l":"0962-2802","issn":["0962-2802","1477-0334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Methods in Medical Research","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101259642","display_name":"Hanhan Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanhan Li","raw_affiliation_strings":["School of Mathematics, Jilin University, Changchun, Jilin Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Jilin University, Changchun, Jilin Province, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044751651","display_name":"Cong Li","orcid":"https://orcid.org/0000-0001-8968-4477","observed_orcids":["https://orcid.org/0000-0001-8968-4477"]},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cong Li","raw_affiliation_strings":["School of Mathematics, Jilin University, Changchun, Jilin Province, China"],"raw_orcid":"https://orcid.org/0000-0001-8968-4477","affiliations":[{"raw_affiliation_string":"School of Mathematics, Jilin University, Changchun, Jilin Province, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044751651"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":{"value":4000,"currency":"USD","value_usd":4000},"apc_paid":null,"fwci":1.4837,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8409368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"32","issue":"12","first_page":"2299","last_page":"2317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.0,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-control-charts","display_name":"multivariate control charts","score":1.0},{"id":"https://openalex.org/keywords/bivariate-count-data","display_name":"bivariate count data","score":0.7570000290870667},{"id":"https://openalex.org/keywords/bivariate-poisson-distribution","display_name":"bivariate Poisson distribution","score":0.9919999837875366},{"id":"https://openalex.org/keywords/ewma-control-chart","display_name":"EWMA control chart","score":0.7960000038146973},{"id":"https://openalex.org/keywords/meningococcal-disease","display_name":"meningococcal disease","score":0.7450000047683716},{"id":"https://openalex.org/keywords/disease-surveillance","display_name":"disease surveillance","score":0.7429999709129333},{"id":"https://openalex.org/keywords/public-health-monitoring","display_name":"public health monitoring","score":0.8809999823570251}],"concepts":[{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.8638663291931152},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.6715199947357178},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6561031341552734},{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.6179823875427246},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6103538870811462},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5630968809127808},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.5529298782348633},{"id":"https://openalex.org/C117236510","wikidata":"https://www.wikidata.org/wiki/Q7113620","display_name":"Overdispersion","level":4,"score":0.529875636100769},{"id":"https://openalex.org/C73269764","wikidata":"https://www.wikidata.org/wiki/Q954529","display_name":"Poisson regression","level":3,"score":0.4552430808544159},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.45410072803497314},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.43024811148643494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4224562346935272},{"id":"https://openalex.org/C33643355","wikidata":"https://www.wikidata.org/wiki/Q5176731","display_name":"Count data","level":3,"score":0.40549150109291077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4018448293209076},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33512622117996216},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.29197192192077637},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.26774418354034424},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.1244250237941742},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.07289305329322815},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001315","descriptor_name":"Australia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008589","descriptor_name":"Meningococcal Infections","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1177/09622802231206476","doi":"https://doi.org/10.1177/09622802231206476","is_oa":false,"landing_page_url":"https://doi.org/10.1177/09622802231206476","pdf_url":null,"source":{"id":"https://openalex.org/S150263959","display_name":"Statistical Methods in Medical Research","issn_l":"0962-2802","issn":["0962-2802","1477-0334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Methods in Medical Research","raw_type":"journal-article"},{"id":"pmid:37881001","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37881001","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical methods in medical research","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G8127763615","display_name":null,"funder_award_id":"12001229","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W43447387","https://openalex.org/W147673611","https://openalex.org/W1943944805","https://openalex.org/W1967437666","https://openalex.org/W1994449045","https://openalex.org/W2018933396","https://openalex.org/W2025585962","https://openalex.org/W2027254536","https://openalex.org/W2028705130","https://openalex.org/W2032051534","https://openalex.org/W2036948282","https://openalex.org/W2046933948","https://openalex.org/W2051903196","https://openalex.org/W2052799522","https://openalex.org/W2075166100","https://openalex.org/W2093113419","https://openalex.org/W2131222955","https://openalex.org/W2157113895","https://openalex.org/W2157202423","https://openalex.org/W2320528005","https://openalex.org/W2332099371","https://openalex.org/W2571651829","https://openalex.org/W2939633075","https://openalex.org/W2965480914","https://openalex.org/W2970754424","https://openalex.org/W2971719233","https://openalex.org/W2992349311","https://openalex.org/W3121158818","https://openalex.org/W3153055212","https://openalex.org/W3216489775"],"related_works":["https://openalex.org/W4392653646","https://openalex.org/W2275262857","https://openalex.org/W6922062656","https://openalex.org/W180161126","https://openalex.org/W1991600429","https://openalex.org/W2048069262","https://openalex.org/W7099002559","https://openalex.org/W6903851092","https://openalex.org/W4289778671","https://openalex.org/W2965165393"],"abstract_inverted_index":{"In":[0,27],"recent":[1],"years,":[2],"with":[3,42],"the":[4,12,48,54,60,75,84,94,97],"increasing":[5],"number":[6],"and":[7,22,46],"complexity":[8],"of":[9,14,56,77],"infectious":[10],"diseases,":[11],"idea":[13],"using":[15],"control":[16,33,50,57,90],"charts":[17,34],"to":[18,73],"monitor":[19],"public":[20],"health":[21],"disease":[23],"has":[24],"been":[25],"proposed.":[26],"this":[28],"paper,":[29],"we":[30],"study":[31],"multivariate":[32],"for":[35],"monitoring":[36],"a":[37,103],"bivariate":[38,43],"integer-valued":[39],"autocorrelation":[40],"process":[41],"Poisson":[44],"distribution":[45],"select":[47],"optimal":[49],"scheme":[51,91],"by":[52],"comparing":[53],"performance":[55],"charts.":[58],"Furthermore,":[59],"meningococcal":[61],"patient":[62],"event":[63],"in":[64,67,96],"two":[65],"states":[66],"Australia":[68],"serves":[69],"as":[70],"an":[71],"example":[72],"illustrate":[74],"application":[76],"these":[78],"methods.":[79],"The":[80],"results":[81],"show":[82],"that":[83],"D":[85],"exponentially":[86],"weighted":[87],"moving":[88],"average":[89],"can":[92],"detect":[93],"changes":[95],"mean":[98],"value":[99],"faster,":[100],"which":[101],"is":[102],"significant":[104],"advantage.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2023-10-27T00:00:00"}