{"id":"https://openalex.org/W3093554370","doi":"https://doi.org/10.1109/mci.2020.3019895","title":"COVID-19 Time Series Forecast Using Transmission Rate and Meteorological Parameters as Features","display_name":"COVID-19 Time Series Forecast Using Transmission Rate and Meteorological Parameters as Features","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3093554370","doi":"https://doi.org/10.1109/mci.2020.3019895","mag":"3093554370"},"language":"en","primary_location":{"id":"doi:10.1109/mci.2020.3019895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2020.3019895","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computational Intelligence Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5047991219","display_name":"Mohsen Mousavi","orcid":"https://orcid.org/0000-0002-0436-5176"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I129801699","display_name":"University of Tasmania","ror":"https://ror.org/01nfmeh72","country_code":"AU","type":"education","lineage":["https://openalex.org/I129801699"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mohsen Mousavi","raw_affiliation_strings":["University of Tasmania and University of Technology Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tasmania and University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I129801699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085767753","display_name":"Rohit Salgotra","orcid":"https://orcid.org/0000-0002-3282-1810"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rohit Salgotra","raw_affiliation_strings":["Thapar Institute of Engineering & Technology, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thapar Institute of Engineering & Technology, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002735272","display_name":"Damien Holloway","orcid":"https://orcid.org/0000-0001-9537-2744"},"institutions":[{"id":"https://openalex.org/I129801699","display_name":"University of Tasmania","ror":"https://ror.org/01nfmeh72","country_code":"AU","type":"education","lineage":["https://openalex.org/I129801699"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Damien Holloway","raw_affiliation_strings":["University of Tasmania, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tasmania, Australia","institution_ids":["https://openalex.org/I129801699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039341855","display_name":"Amir H. Gandomi","orcid":"https://orcid.org/0000-0002-2798-0104"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amir H. Gandomi","raw_affiliation_strings":["University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2798-0104","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047991219"],"corresponding_institution_ids":["https://openalex.org/I114017466","https://openalex.org/I129801699"],"apc_list":null,"apc_paid":null,"fwci":2.6771,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92307821,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"4","first_page":"34","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9973000288009644,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7260539531707764},{"id":"https://openalex.org/keywords/transmission-rate","display_name":"Transmission rate","score":0.6853745579719543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6096269488334656},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5913239121437073},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5903987288475037},{"id":"https://openalex.org/keywords/tamil","display_name":"Tamil","score":0.5235947370529175},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5218714475631714},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5089848041534424},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.441473126411438},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3898178040981293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3614721894264221},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3512895405292511},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.328258752822876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2835232615470886},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19998258352279663},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19031444191932678},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16875508427619934}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7260539531707764},{"id":"https://openalex.org/C2989335485","wikidata":"https://www.wikidata.org/wiki/Q17130189","display_name":"Transmission rate","level":3,"score":0.6853745579719543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6096269488334656},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5913239121437073},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5903987288475037},{"id":"https://openalex.org/C140688305","wikidata":"https://www.wikidata.org/wiki/Q5885","display_name":"Tamil","level":2,"score":0.5235947370529175},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5218714475631714},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5089848041534424},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.441473126411438},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3898178040981293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3614721894264221},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3512895405292511},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.328258752822876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2835232615470886},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19998258352279663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19031444191932678},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16875508427619934},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mci.2020.3019895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2020.3019895","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computational Intelligence Magazine","raw_type":"journal-article"},{"id":"pmh:oai:eprints.utas.edu.au:35531","is_oa":false,"landing_page_url":"https://eprints.utas.edu.au/35531/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922975","display_name":"UTAS Research Repository","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":"","raw_type":"Article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/144227","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/144227","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1588163064","https://openalex.org/W2000982976","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2097795807","https://openalex.org/W2102372511","https://openalex.org/W2168788516","https://openalex.org/W2250681727","https://openalex.org/W2573587735","https://openalex.org/W2747495481","https://openalex.org/W2754252319","https://openalex.org/W2964121744","https://openalex.org/W3001118548","https://openalex.org/W3009741597","https://openalex.org/W3011032288","https://openalex.org/W3011771926","https://openalex.org/W3011800583","https://openalex.org/W3011996584","https://openalex.org/W3012603648","https://openalex.org/W3012742975","https://openalex.org/W3015207820","https://openalex.org/W3015719445","https://openalex.org/W3016966855","https://openalex.org/W3017051018","https://openalex.org/W3017940157","https://openalex.org/W3019063064","https://openalex.org/W3021151406","https://openalex.org/W3022479199","https://openalex.org/W3023906401","https://openalex.org/W3029558740","https://openalex.org/W3041941711","https://openalex.org/W3099479832","https://openalex.org/W3123020767","https://openalex.org/W3124016646","https://openalex.org/W3124457397","https://openalex.org/W3164667016","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6774252261","https://openalex.org/W6780494165","https://openalex.org/W6796031085"],"related_works":["https://openalex.org/W1504746966","https://openalex.org/W4360853490","https://openalex.org/W282935141","https://openalex.org/W2102222526","https://openalex.org/W3189436399","https://openalex.org/W2903473488","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"The":[0,69,140],"number":[1,50,89,135],"of":[2,5,28,35,47,51,54,76,90,94,99,121,127,133,136],"confirmed":[3,52,91,137],"cases":[4,53,92],"COVID-19":[6,55,95],"has":[7,113,143],"been":[8,114],"ever":[9],"increasing":[10],"worldwide":[11],"since":[12],"its":[13],"outbreak":[14],"in":[15,32,96],"Wuhan,":[16],"China.":[17],"As":[18],"such,":[19],"many":[20],"researchers":[21],"have":[22],"sought":[23],"to":[24],"predict":[25],"the":[26,29,36,48,88,122,125,128,134],"dynamics":[27],"virus":[30],"spread":[31],"different":[33],"parts":[34,120],"globe.":[37],"In":[38],"this":[39],"paper,":[40],"a":[41,74,109],"novel":[42],"systematic":[43],"platform":[44,142],"for":[45,79,150],"prediction":[46,126],"future":[49],"is":[56,106],"proposed,":[57],"based":[58],"on":[59],"several":[60],"factors":[61],"such":[62],"as":[63,108],"transmission":[64],"rate,":[65],"temperature,":[66],"and":[67,104,118,130,146],"humidity.":[68],"proposed":[70],"strategy":[71],"derives":[72],"systematically":[73],"set":[75],"appropriate":[77],"features":[78,123],"training":[80],"Recurrent":[81],"Neural":[82],"Networks":[83],"(RNN).":[84],"To":[85],"that":[86,116],"end,":[87],"(CC)":[93],"three":[97],"states":[98],"India":[100],"(Maharashtra,":[101],"Tamil":[102],"Nadu":[103],"Gujarat)":[105],"taken":[107],"case":[110],"study.":[111],"It":[112],"noted":[115],"stationary":[117,129],"nonstationary":[119],"improved":[124],"non-stationary":[131],"trends":[132],"cases,":[138],"respectively.":[139],"new":[141],"general":[144],"application":[145],"can":[147],"be":[148],"used":[149],"pandemic":[151],"time":[152],"series":[153],"forecasting.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
