{"id":"https://openalex.org/W4312823585","doi":"https://doi.org/10.1109/tcss.2022.3225639","title":"SEI<sub>3</sub>R<sub>2</sub>D<sub>2</sub>V: Pandemic Modeling and Analysis of Its Latent Factors: A Case Study of COVID-19 in India","display_name":"SEI<sub>3</sub>R<sub>2</sub>D<sub>2</sub>V: Pandemic Modeling and Analysis of Its Latent Factors: A Case Study of COVID-19 in India","publication_year":2022,"publication_date":"2022-12-09","ids":{"openalex":"https://openalex.org/W4312823585","doi":"https://doi.org/10.1109/tcss.2022.3225639"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2022.3225639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3225639","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Transactions on Computational Social Systems","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/A5028244878","display_name":"Vaishali Kansal","orcid":"https://orcid.org/0000-0002-1313-1881"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vaishali Kansal","raw_affiliation_strings":["Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India"],"raw_orcid":"https://orcid.org/0000-0002-1313-1881","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016366268","display_name":"Pradumn Kumar Pandey","orcid":"https://orcid.org/0000-0002-2601-7850"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pradumn Kumar Pandey","raw_affiliation_strings":["Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India"],"raw_orcid":"https://orcid.org/0000-0002-2601-7850","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":0.6766,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64920059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":"1","first_page":"625","last_page":"638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T10118","display_name":"SARS-CoV-2 and COVID-19 Research","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/pandemic","display_name":"Pandemic","score":0.7600913047790527},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5834592580795288},{"id":"https://openalex.org/keywords/basic-reproduction-number","display_name":"Basic reproduction number","score":0.5819559097290039},{"id":"https://openalex.org/keywords/vaccination","display_name":"Vaccination","score":0.4866700768470764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4562079608440399},{"id":"https://openalex.org/keywords/epidemic-model","display_name":"Epidemic model","score":0.45464572310447693},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4122142493724823},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39243119955062866},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3579323887825012},{"id":"https://openalex.org/keywords/development-economics","display_name":"Development economics","score":0.3273143768310547},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.32699573040008545},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.272030234336853},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.27035456895828247},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.25359392166137695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2207600176334381},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19287359714508057},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.13448426127433777},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.11245182156562805}],"concepts":[{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.7600913047790527},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5834592580795288},{"id":"https://openalex.org/C204264503","wikidata":"https://www.wikidata.org/wiki/Q901464","display_name":"Basic reproduction number","level":3,"score":0.5819559097290039},{"id":"https://openalex.org/C22070199","wikidata":"https://www.wikidata.org/wiki/Q192995","display_name":"Vaccination","level":2,"score":0.4866700768470764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4562079608440399},{"id":"https://openalex.org/C1627819","wikidata":"https://www.wikidata.org/wiki/Q2572354","display_name":"Epidemic model","level":3,"score":0.45464572310447693},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4122142493724823},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39243119955062866},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3579323887825012},{"id":"https://openalex.org/C47768531","wikidata":"https://www.wikidata.org/wiki/Q1127188","display_name":"Development economics","level":1,"score":0.3273143768310547},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.32699573040008545},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.272030234336853},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27035456895828247},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.25359392166137695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2207600176334381},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19287359714508057},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.13448426127433777},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.11245182156562805},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2022.3225639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3225639","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W203306178","https://openalex.org/W2073627497","https://openalex.org/W2119560885","https://openalex.org/W2138890315","https://openalex.org/W2152195021","https://openalex.org/W2725216843","https://openalex.org/W2810255841","https://openalex.org/W2903293690","https://openalex.org/W3008874180","https://openalex.org/W3012922240","https://openalex.org/W3013566370","https://openalex.org/W3013649595","https://openalex.org/W3014640778","https://openalex.org/W3015558130","https://openalex.org/W3024820751","https://openalex.org/W3030092414","https://openalex.org/W3036413340","https://openalex.org/W3038007832","https://openalex.org/W3039228813","https://openalex.org/W3042215122","https://openalex.org/W3087066586","https://openalex.org/W3100347265","https://openalex.org/W3102760423","https://openalex.org/W3104139592","https://openalex.org/W3108339223","https://openalex.org/W3110363146","https://openalex.org/W3113666824","https://openalex.org/W3118401393","https://openalex.org/W3119335205","https://openalex.org/W3120236591","https://openalex.org/W3123903201","https://openalex.org/W3132264726","https://openalex.org/W3155653148","https://openalex.org/W3156416471","https://openalex.org/W3163003145","https://openalex.org/W3169002082","https://openalex.org/W3170853030","https://openalex.org/W3171797874","https://openalex.org/W3175375974","https://openalex.org/W3175377974","https://openalex.org/W3176290535","https://openalex.org/W3183509581","https://openalex.org/W3186831402","https://openalex.org/W3189040916","https://openalex.org/W3193039013","https://openalex.org/W3193847830","https://openalex.org/W3195035126","https://openalex.org/W3198005784","https://openalex.org/W3199051458","https://openalex.org/W3204197972","https://openalex.org/W3214048859","https://openalex.org/W3216474128","https://openalex.org/W3217766746","https://openalex.org/W4200086139","https://openalex.org/W4200393654","https://openalex.org/W4200427112","https://openalex.org/W4200471023","https://openalex.org/W4200487429","https://openalex.org/W4200492563","https://openalex.org/W4205875759","https://openalex.org/W4206185298","https://openalex.org/W4206405158","https://openalex.org/W4214519376","https://openalex.org/W4214749453","https://openalex.org/W4224987328","https://openalex.org/W4225607906","https://openalex.org/W4238452917","https://openalex.org/W6783693492","https://openalex.org/W6805192164"],"related_works":["https://openalex.org/W2962891488","https://openalex.org/W2291447000","https://openalex.org/W4320351350","https://openalex.org/W2230721379","https://openalex.org/W2376250553","https://openalex.org/W3138234900","https://openalex.org/W2356839139","https://openalex.org/W1505484396","https://openalex.org/W4388177052","https://openalex.org/W3113377908"],"abstract_inverted_index":{"For":[0,115],"densely":[1],"populated":[2],"developing":[3],"countries,":[4],"such":[5],"as":[6,110,112,169],"India,":[7],"where":[8],"due":[9],"to":[10,50,56,129,158,200],"a":[11,41,70,136,196],"lack":[12],"of":[13,27,34,77,94,106,123,139,174,184],"general":[14],"and":[15,21,24,80,82,103,143],"public":[16],"awareness,":[17],"limited":[18,62],"data":[19,122],"collection":[20],"compilation":[22],"facilities,":[23],"inherent":[25],"limitations":[26],"the":[28,35,58,91,104,120,146,162,166,172,192],"available":[29,63,193],"diagnostic":[30],"test,":[31],"accurate":[32],"modeling":[33],"pandemic":[36,60],"is":[37,46,156,190],"more":[38,52],"challenging.":[39],"Thus,":[40],"realistic":[42],"model":[43,73],"for":[44,87,145,161,179,186],"predictions":[45,144],"required":[47],"in":[48,108,149],"order":[49],"formulate":[51],"effective":[53,175],"strategic":[54],"policies":[55],"control":[57,159,201],"COVID-19":[59,121,160],"using":[61],"resources.":[64],"In":[65],"this":[66],"article,":[67],"we":[68,118,134],"propose":[69],"time-varying":[71],"epidemiological":[72],"with":[74],"two":[75],"classes":[76],"compartments,":[78],"reported":[79],"unreported,":[81],"consider":[83,119],"influential":[84],"latent":[85,141],"factors,":[86],"example,":[88],"undetectable":[89],"infections,":[90],"false-negative":[92],"rate":[93,199],"testing,":[95],"testing":[96],"hesitancy,":[97],"vaccination":[98,198],"efficacy,":[99],"dual":[100],"contact":[101],"dynamics,":[102],"possibility":[105],"reinfection":[107],"recovered":[109],"well":[111],"vaccinated":[113],"individuals.":[114],"simulation":[116],"purposes,":[117],"India":[124,155],"from":[125,171],"March":[126],"13,":[127],"2020,":[128],"January":[130],"20,":[131],"2022.":[132],"Furthermore,":[133],"provide":[135],"sensitivity":[137],"analysis":[138],"various":[140],"factors":[142],"third":[147],"wave":[148],"India.":[150],"Simulated":[151],"results":[152],"suggest":[153],"that":[154],"able":[157],"first":[163],"time":[164],"after":[165],"second":[167],"wave,":[168],"observed":[170],"trajectory":[173],"reproduction":[176],"number.":[177],"Moreover,":[178],"unseen":[180],"or":[181],"coming":[182],"variants":[183],"virus":[185],"which":[187],"vaccine":[188,194],"efficacy":[189],"low,":[191],"requires":[195],"high":[197],"future":[202],"waves.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
