{"id":"https://openalex.org/W4390264024","doi":"https://doi.org/10.1371/journal.pcbi.1011757","title":"Time warping between main epidemic time series in epidemiological surveillance","display_name":"Time warping between main epidemic time series in epidemiological surveillance","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4390264024","doi":"https://doi.org/10.1371/journal.pcbi.1011757","pmid":"https://pubmed.ncbi.nlm.nih.gov/38150476"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1011757","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011757","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011757&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011757&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035204031","display_name":"Jean\u2010David Morel","orcid":"https://orcid.org/0000-0002-7122-9924"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH","HK"],"is_corresponding":true,"raw_author_name":"Jean-David Morel","raw_affiliation_strings":["City University of Hong Kong, Department of Mathematics, Tat Chee Ave, Kowloon Tong, Hong Kong","Laboratoire de Physiologie Int\u00e9grative et Syst\u00e9mique, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Department of Mathematics, Tat Chee Ave, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Laboratoire de Physiologie Int\u00e9grative et Syst\u00e9mique, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057798674","display_name":"Jean\u2010Michel Morel","orcid":"https://orcid.org/0000-0002-6108-897X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH","HK"],"is_corresponding":true,"raw_author_name":"Jean-Michel Morel","raw_affiliation_strings":["City University of Hong Kong, Department of Mathematics, Tat Chee Ave, Kowloon Tong, Hong Kong","Laboratoire de Physiologie Int\u00e9grative et Syst\u00e9mique, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Department of Mathematics, Tat Chee Ave, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Laboratoire de Physiologie Int\u00e9grative et Syst\u00e9mique, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062208799","display_name":"Luis \u00c1lvarez","orcid":"https://orcid.org/0000-0002-6953-9587"},"institutions":[{"id":"https://openalex.org/I119635470","display_name":"Universidad de Las Palmas de Gran Canaria","ror":"https://ror.org/01teme464","country_code":"ES","type":"education","lineage":["https://openalex.org/I119635470"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Luis Alvarez","raw_affiliation_strings":["Departamento de Inform\u00e1tica y Sistemas, Campus de Tafira, Universidad de Las Palmas de Gran Canaria, Spain"],"raw_orcid":"https://orcid.org/0000-0002-6953-9587","affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica y Sistemas, Campus de Tafira, Universidad de Las Palmas de Gran Canaria, Spain","institution_ids":["https://openalex.org/I119635470"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035204031","https://openalex.org/A5057798674","https://openalex.org/A5062208799"],"corresponding_institution_ids":["https://openalex.org/I119635470","https://openalex.org/I168719708","https://openalex.org/I5124864"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.8699,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74471231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"19","issue":"12","first_page":"e1011757","last_page":"e1011757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9937000274658203,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.7066000699996948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6318538784980774},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5169826745986938},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5143171548843384},{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.44858431816101074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4339503049850464},{"id":"https://openalex.org/keywords/epidemic-model","display_name":"Epidemic model","score":0.4267534017562866},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3779049515724182},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34892717003822327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2894952893257141},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2785087525844574},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2615029215812683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16897836327552795},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14200514554977417}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.7066000699996948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318538784980774},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5169826745986938},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5143171548843384},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.44858431816101074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4339503049850464},{"id":"https://openalex.org/C1627819","wikidata":"https://www.wikidata.org/wiki/Q2572354","display_name":"Epidemic model","level":3,"score":0.4267534017562866},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3779049515724182},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34892717003822327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2894952893257141},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2785087525844574},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2615029215812683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16897836327552795},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14200514554977417},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":7,"locations":[{"id":"doi:10.1371/journal.pcbi.1011757","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011757","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011757&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:38150476","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38150476","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,"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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/b8f45735-e2a4-49eb-8f27-d541b2e49bde","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/b8f45735-e2a4-49eb-8f27-d541b2e49bde","pdf_url":"https://scholars.cityu.edu.hk/files/224699896/221484630.pdf","source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Morel, J-D, Morel, J-M & Alvarez, L 2023, 'Time warping between main epidemic time series in epidemiological surveillance', PLoS Computational Biology, vol. 19, no. 12, e1011757. https://doi.org/10.1371/journal.pcbi.1011757","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:accedacris.ulpgc.es:10553/130584","is_oa":true,"landing_page_url":"http://hdl.handle.net/10553/130584","pdf_url":"https://accedacris.ulpgc.es/jspui/bitstream/10553/130584/1/time_warping_between.pdf","source":{"id":"https://openalex.org/S4306400136","display_name":"Acceda (Universidad de Las Palmas de Gran Canaria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Plos Computational Biology[ISSN 1553-734X],v. 19 (12), (Diciembre 2023)","raw_type":"info:eu-repo/semantics/Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10775977","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10775977","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10775977/pdf/pcbi.1011757.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:276da39455a9455586be813560c8ff72","is_oa":true,"landing_page_url":"https://doaj.org/article/276da39455a9455586be813560c8ff72","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":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 19, Iss 12, p e1011757 (2023)","raw_type":"article"},{"id":"pmh:oai:infoscience.epfl.ch:308931","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/205299","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"research article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1011757","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011757","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011757&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390264024.pdf","grobid_xml":"https://content.openalex.org/works/W4390264024.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W203306178","https://openalex.org/W1534304300","https://openalex.org/W1578285471","https://openalex.org/W1978987274","https://openalex.org/W1980516134","https://openalex.org/W2014625578","https://openalex.org/W2036469077","https://openalex.org/W2041106762","https://openalex.org/W2051568739","https://openalex.org/W2093488518","https://openalex.org/W2097446414","https://openalex.org/W2102187991","https://openalex.org/W2118976924","https://openalex.org/W2128636568","https://openalex.org/W2149846618","https://openalex.org/W2159757870","https://openalex.org/W2792014895","https://openalex.org/W3015571324","https://openalex.org/W3016122862","https://openalex.org/W3047429139","https://openalex.org/W3049106999","https://openalex.org/W3139345328","https://openalex.org/W3142132699","https://openalex.org/W3156070269","https://openalex.org/W3181941127","https://openalex.org/W3195558075","https://openalex.org/W3202091648","https://openalex.org/W3207540548","https://openalex.org/W3212237692","https://openalex.org/W3216202008","https://openalex.org/W4200094107","https://openalex.org/W4205216846","https://openalex.org/W4240592325","https://openalex.org/W4255217231","https://openalex.org/W4367185783"],"related_works":["https://openalex.org/W2609942398","https://openalex.org/W2764033112","https://openalex.org/W3092399163","https://openalex.org/W4380451100","https://openalex.org/W2772616816","https://openalex.org/W4205256820","https://openalex.org/W2622688551","https://openalex.org/W2119012848","https://openalex.org/W1990205660","https://openalex.org/W1550175370"],"abstract_inverted_index":{"The":[0,173],"most":[1],"common":[2],"reported":[3],"epidemic":[4],"time":[5,66,101,118,153,169],"series":[6],"in":[7,37,93],"epidemiological":[8],"surveillance":[9],"are":[10,52,130],"the":[11,19,23,28,38,42,74,90,149,163,187,204,211,217],"daily":[12],"or":[13,195],"weekly":[14],"incidence":[15],"of":[16,49,86,186,189,203,210],"new":[17],"cases,":[18],"hospital":[20],"admission":[21,25],"count,":[22,26],"ICU":[24],"and":[27,69,121,124,137,140,155,171,177,197],"death":[29],"toll,":[30],"which":[31],"played":[32],"such":[33,50,99],"a":[34,58,64,70,78,107,200],"prominent":[35],"role":[36],"struggle":[39],"to":[40,54,166,183],"monitor":[41],"Covid-19":[43],"pandemic.":[44],"We":[45,157],"show":[46],"that":[47,127,148],"pairs":[48,85],"curves":[51,88],"related":[53,181],"each":[55],"other":[56],"by":[57],"generalized":[59],"renewal":[60],"equation":[61],"depending":[62],"on":[63,106],"smooth":[65,71],"varying":[67,119],"delay":[68,120],"ratio":[72,122],"generalizing":[73],"reproduction":[75],"number.":[76],"Such":[77],"functional":[79],"relation":[80],"is":[81,213],"also":[82,142],"explored":[83],"for":[84,115],"simultaneous":[87,100],"measuring":[89],"same":[91],"indicator":[92],"two":[94,98],"neighboring":[95],"countries.":[96],"Given":[97],"series,":[102],"we":[103,125,141],"develop,":[104],"based":[105],"signal":[108],"processing":[109],"approach,":[110],"an":[111],"efficient":[112],"numerical":[113],"method":[114,150,164,175,212],"computing":[116],"their":[117],"curves,":[123],"verify":[126,135],"its":[128],"results":[129],"consistent.":[131],"Indeed,":[132],"they":[133],"experimentally":[134],"symmetry":[136],"transitivity":[138],"requirements":[139],"show,":[143],"using":[144],"realistic":[145],"simulated":[146],"data,":[147],"faithfully":[151],"recovers":[152],"delays":[154,170],"ratios.":[156,172],"discuss":[158],"several":[159],"real":[160],"examples":[161],"where":[162],"seems":[165],"display":[167],"interpretable":[168],"proposed":[174],"generalizes":[176],"unifies":[178],"many":[179],"recent":[180],"attempts":[182],"take":[184],"advantage":[185],"plurality":[188],"these":[190],"health":[191],"data":[192],"across":[193],"regions":[194],"countries":[196],"time,":[198],"providing":[199],"better":[201],"understanding":[202],"relationship":[205],"between":[206],"them.":[207],"An":[208],"implementation":[209],"publicly":[214],"available":[215],"at":[216],"EpiInvert":[218],"CRAN":[219],"package.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}