{"id":"https://openalex.org/W3157692140","doi":"https://doi.org/10.1145/3550272","title":"Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal Convolutional Sequence-to-sequence Neural Networks","display_name":"Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal Convolutional Sequence-to-sequence Neural Networks","publication_year":2022,"publication_date":"2022-07-26","ids":{"openalex":"https://openalex.org/W3157692140","doi":"https://doi.org/10.1145/3550272","mag":"3157692140"},"language":"en","primary_location":{"id":"doi:10.1145/3550272","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3550272","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3550272","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3550272","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076859033","display_name":"M\u00e1rio Cardoso","orcid":"https://orcid.org/0000-0002-5292-0189"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"M\u00e1rio Cardoso","raw_affiliation_strings":["INESC-ID/Instituto Superior T\u00e9cnico, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-5292-0189","affiliations":[{"raw_affiliation_string":"INESC-ID/Instituto Superior T\u00e9cnico, Lisboa, Portugal","institution_ids":["https://openalex.org/I121345201","https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103252333","display_name":"Andr\u00e9 Cavalheiro","orcid":"https://orcid.org/0000-0003-2301-1629"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Cavalheiro","raw_affiliation_strings":["INESC-ID/Instituto Superior T\u00e9cnico, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-2301-1629","affiliations":[{"raw_affiliation_string":"INESC-ID/Instituto Superior T\u00e9cnico, Lisboa, Portugal","institution_ids":["https://openalex.org/I121345201","https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103277895","display_name":"Alexandre Borges","orcid":null},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Alexandre Borges","raw_affiliation_strings":["INESC-ID/Instituto Superior T\u00e9cnico, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-8272-6731","affiliations":[{"raw_affiliation_string":"INESC-ID/Instituto Superior T\u00e9cnico, Lisboa, Portugal","institution_ids":["https://openalex.org/I121345201","https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063858779","display_name":"Ana Filipa Duarte","orcid":"https://orcid.org/0000-0003-0016-5545"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ana Filipa Duarte","raw_affiliation_strings":["CERENA/Instituto Superior T\u00e9cnico, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-0016-5545","affiliations":[{"raw_affiliation_string":"CERENA/Instituto Superior T\u00e9cnico, Lisboa, Portugal","institution_ids":["https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659227","display_name":"A. Soares","orcid":"https://orcid.org/0000-0001-5232-2376"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Am\u00edlcar Soares","raw_affiliation_strings":["CERENA/Instituto Superior T\u00e9cnico, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0001-5232-2376","affiliations":[{"raw_affiliation_string":"CERENA/Instituto Superior T\u00e9cnico, Lisboa, Portugal","institution_ids":["https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060798585","display_name":"Maria Jo\u00e3o Veloso da Costa Ramos Pereira","orcid":"https://orcid.org/0000-0003-2580-6281"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Maria Jo\u00e3o Pereira","raw_affiliation_strings":["CERENA/Instituto Superior T\u00e9cnico, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-2580-6281","affiliations":[{"raw_affiliation_string":"CERENA/Instituto Superior T\u00e9cnico, Lisboa, Portugal","institution_ids":["https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074097147","display_name":"Nuno Nunes","orcid":"https://orcid.org/0000-0002-2498-0643"},"institutions":[{"id":"https://openalex.org/I203847022","display_name":"Instituto Polit\u00e9cnico de Lisboa","ror":"https://ror.org/04ea70f07","country_code":"PT","type":"education","lineage":["https://openalex.org/I203847022"]},{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Nuno Jardim Nunes","raw_affiliation_strings":["ITI/Instituto Superior T\u00e9cnico, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-2498-0643","affiliations":[{"raw_affiliation_string":"ITI/Instituto Superior T\u00e9cnico, Lisboa, Portugal","institution_ids":["https://openalex.org/I203847022","https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041954324","display_name":"Leonardo Azevedo","orcid":"https://orcid.org/0000-0002-0677-079X"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Leonardo Azevedo","raw_affiliation_strings":["CERENA/Instituto Superior T\u00e9cnico, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-0677-079X","affiliations":[{"raw_affiliation_string":"CERENA/Instituto Superior T\u00e9cnico, Lisboa, Portugal","institution_ids":["https://openalex.org/I4387152517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001327675","display_name":"Arlindo L. Oliveira","orcid":"https://orcid.org/0000-0001-8638-5594"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Arlindo Oliveira","raw_affiliation_strings":["INESC-ID/Instituto Superior T\u00e9cnico, Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0001-8638-5594","affiliations":[{"raw_affiliation_string":"INESC-ID/Instituto Superior T\u00e9cnico, Lisboa, Portugal","institution_ids":["https://openalex.org/I121345201","https://openalex.org/I4387152517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.651,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81360069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"8","issue":"4","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9994999766349792,"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":0.9994999766349792,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9955000281333923,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9381999969482422,"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/autoregressive-model","display_name":"Autoregressive model","score":0.6446794271469116},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6192073225975037},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.5770108103752136},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.54816073179245},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5190211534500122},{"id":"https://openalex.org/keywords/incidence","display_name":"Incidence (geometry)","score":0.48280417919158936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47362205386161804},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.45012497901916504},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3560931980609894},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.34564369916915894},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3419575095176697},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3372129201889038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3285719156265259},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17142000794410706},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15000095963478088},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0857972502708435}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6446794271469116},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6192073225975037},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.5770108103752136},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.54816073179245},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5190211534500122},{"id":"https://openalex.org/C61511704","wikidata":"https://www.wikidata.org/wiki/Q1671857","display_name":"Incidence (geometry)","level":2,"score":0.48280417919158936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47362205386161804},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.45012497901916504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3560931980609894},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.34564369916915894},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3419575095176697},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3372129201889038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3285719156265259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17142000794410706},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15000095963478088},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0857972502708435},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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:10.1145/3550272","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3550272","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3550272","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3550272","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3550272","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3550272","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8500000238418579,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3157692140.pdf","grobid_xml":"https://content.openalex.org/works/W3157692140.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W114870970","https://openalex.org/W594503987","https://openalex.org/W1590281652","https://openalex.org/W1987660785","https://openalex.org/W2012448442","https://openalex.org/W2017939329","https://openalex.org/W2019459021","https://openalex.org/W2064675550","https://openalex.org/W2116065099","https://openalex.org/W2136502970","https://openalex.org/W2142182841","https://openalex.org/W2148301044","https://openalex.org/W2157331557","https://openalex.org/W2290832617","https://openalex.org/W2478338686","https://openalex.org/W2768975186","https://openalex.org/W2774189339","https://openalex.org/W2790866212","https://openalex.org/W2912083425","https://openalex.org/W2953118818","https://openalex.org/W2991559313","https://openalex.org/W3012734330","https://openalex.org/W3015655436","https://openalex.org/W3015661699","https://openalex.org/W3021178751","https://openalex.org/W3034820206","https://openalex.org/W3035468097","https://openalex.org/W3035498646","https://openalex.org/W3036593846","https://openalex.org/W3038772928","https://openalex.org/W3039187829","https://openalex.org/W3048545521","https://openalex.org/W3097391358","https://openalex.org/W3104400108","https://openalex.org/W3115918135","https://openalex.org/W3121140804","https://openalex.org/W3165838540","https://openalex.org/W4212864838","https://openalex.org/W4226239165","https://openalex.org/W4252678302"],"related_works":["https://openalex.org/W2004086023","https://openalex.org/W4367313141","https://openalex.org/W2733999579","https://openalex.org/W2910751785","https://openalex.org/W2110217573","https://openalex.org/W4366547507","https://openalex.org/W4283374591","https://openalex.org/W199725827","https://openalex.org/W4248896451","https://openalex.org/W2042488917"],"abstract_inverted_index":{"Europe":[0],"was":[1,10,31,143],"hit":[2],"hard":[3],"by":[4,195],"the":[5,18,32,35,38,59,74,80,86,89,107,115,120,127,152,158,161,165,210,216,223,233,243],"COVID-19":[6,63],"pandemic":[7],"and":[8,26,85,101,200,236],"Portugal":[9,30],"severely":[11],"affected,":[12],"having":[13],"suffered":[14],"three":[15],"waves":[16],"in":[17,34,49,130,157,227],"first":[19,116],"twelve":[20,117],"months.":[21],"Approximately":[22],"between":[23],"January":[24],"19th":[25],"February":[27],"5th":[28],"2021":[29],"country":[33],"world":[36],"with":[37,42,232,242],"largest":[39],"incidence":[40,44,128,140,166],"rate,":[41],"14-day":[43],"rates":[45],"per":[46],"100,000":[47],"inhabitants":[48],"excess":[50],"of":[51,58,62,88,119,126,133,139,154,160,164],"1,000.":[52],"Despite":[53],"its":[54],"importance,":[55],"accurate":[56],"prediction":[57,159],"geospatial":[60],"evolution":[61,163],"remains":[64],"a":[65,83,97,147,173,182,189,201],"challenge,":[66],"since":[67],"existing":[68],"analytical":[69],"methods":[70,170],"fail":[71],"to":[72,114,122,150],"capture":[73],"complex":[75],"dynamics":[76],"that":[77,215],"result":[78],"from":[79,91,106],"contagion":[81],"within":[82],"region":[84],"spreading":[87],"infection":[90],"infected":[92],"neighboring":[93],"regions.":[94],"We":[95,213],"use":[96],"previously":[98],"developed":[99],"methodology":[100],"official":[102],"municipality":[103],"level":[104,176,184],"data":[105],"Portuguese":[108],"Directorate-General":[109],"for":[110],"Health":[111],"(DGS),":[112],"relative":[113],"months":[118],"pandemic,":[121],"compute":[123],"an":[124],"estimate":[125],"rate":[129,141],"each":[131],"location":[132],"mainland":[134],"Portugal.":[135],"The":[136],"resulting":[137],"sequence":[138],"maps":[142],"then":[144],"used":[145],"as":[146,239,241],"gold":[148],"standard":[149],"test":[151],"effectiveness":[153],"different":[155,169],"approaches":[156],"spatial-temporal":[162],"rate.":[167],"Four":[168],"were":[171],"tested:":[172],"simple":[174],"cell":[175,183],"autoregressive":[177,186],"moving":[178],"average":[179],"(ARMA)":[180],"model,":[181,188],"vector":[185],"(VAR)":[187],"municipality-by-municipality":[190],"compartmental":[191],"SIRD":[192,237],"model":[193,207],"followed":[194],"direct":[196],"block":[197],"sequential":[198],"simulation,":[199],"new":[202],"convolutional":[203,218],"sequence-to-sequence":[204,219],"neural":[205,220],"network":[206,221],"based":[208],"on":[209],"STConvS2S":[211],"architecture.":[212],"conclude":[214],"modified":[217],"is":[222],"best":[224],"performing":[225],"method":[226],"this":[228],"task,":[229],"when":[230],"compared":[231],"ARMA,":[234],"VAR,":[235],"models,":[238],"well":[240],"baseline":[244],"ConvLSTM":[245],"model.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}