{"id":"https://openalex.org/W4387908217","doi":"https://doi.org/10.3390/data8100158","title":"Panel Regression Modelling for COVID-19 Infections and Deaths in Tamil Nadu, India","display_name":"Panel Regression Modelling for COVID-19 Infections and Deaths in Tamil Nadu, India","publication_year":2023,"publication_date":"2023-10-23","ids":{"openalex":"https://openalex.org/W4387908217","doi":"https://doi.org/10.3390/data8100158"},"language":"en","primary_location":{"id":"doi:10.3390/data8100158","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8100158","pdf_url":"https://www.mdpi.com/2306-5729/8/10/158/pdf?version=1698071939","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2306-5729/8/10/158/pdf?version=1698071939","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028619953","display_name":"Rajarathinam Arunachalam","orcid":"https://orcid.org/0000-0002-3245-3181"},"institutions":[{"id":"https://openalex.org/I182997119","display_name":"Manonmaniam Sundaranar University","ror":"https://ror.org/02qgw5c67","country_code":"IN","type":"education","lineage":["https://openalex.org/I182997119"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rajarathinam Arunachalam","raw_affiliation_strings":["Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli 627012, India"],"raw_orcid":"https://orcid.org/0000-0002-3245-3181","affiliations":[{"raw_affiliation_string":"Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli 627012, India","institution_ids":["https://openalex.org/I182997119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028619953"],"corresponding_institution_ids":["https://openalex.org/I182997119"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17581924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"10","first_page":"158","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9997000098228455,"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":0.9997000098228455,"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/T11711","display_name":"COVID-19 Pandemic Impacts","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10041","display_name":"COVID-19 Clinical Research Studies","score":0.9765999913215637,"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/tamil","display_name":"Tamil","score":0.9055219888687134},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.8352201581001282},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.6790683269500732},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5372740030288696},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.5317429900169373},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5154205560684204},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.4668486714363098},{"id":"https://openalex.org/keywords/panel-data","display_name":"Panel data","score":0.4300573468208313},{"id":"https://openalex.org/keywords/mortality-rate","display_name":"Mortality rate","score":0.41978034377098083},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.407418817281723},{"id":"https://openalex.org/keywords/socioeconomics","display_name":"Socioeconomics","score":0.33825773000717163},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3365194797515869},{"id":"https://openalex.org/keywords/veterinary-medicine","display_name":"Veterinary medicine","score":0.3336126208305359},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3327024281024933},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.29611390829086304},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.19322079420089722},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.16642716526985168},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1595900058746338},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10817182064056396},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.1009809672832489},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08119013905525208}],"concepts":[{"id":"https://openalex.org/C140688305","wikidata":"https://www.wikidata.org/wiki/Q5885","display_name":"Tamil","level":2,"score":0.9055219888687134},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.8352201581001282},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.6790683269500732},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5372740030288696},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.5317429900169373},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.5154205560684204},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.4668486714363098},{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.4300573468208313},{"id":"https://openalex.org/C179755657","wikidata":"https://www.wikidata.org/wiki/Q58702","display_name":"Mortality rate","level":2,"score":0.41978034377098083},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.407418817281723},{"id":"https://openalex.org/C45355965","wikidata":"https://www.wikidata.org/wiki/Q1643441","display_name":"Socioeconomics","level":1,"score":0.33825773000717163},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3365194797515869},{"id":"https://openalex.org/C42972112","wikidata":"https://www.wikidata.org/wiki/Q170201","display_name":"Veterinary medicine","level":1,"score":0.3336126208305359},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3327024281024933},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.29611390829086304},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.19322079420089722},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.16642716526985168},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1595900058746338},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10817182064056396},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.1009809672832489},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08119013905525208},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/data8100158","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8100158","pdf_url":"https://www.mdpi.com/2306-5729/8/10/158/pdf?version=1698071939","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:gam:jdataj:v:8:y:2023:i:10:p:158-:d:1265671","is_oa":false,"landing_page_url":"https://www.mdpi.com/2306-5729/8/10/158/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:217d44a93f614bbf827d383308e3f810","is_oa":true,"landing_page_url":"https://doaj.org/article/217d44a93f614bbf827d383308e3f810","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data, Vol 8, Iss 10, p 158 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/data8100158","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8100158","pdf_url":"https://www.mdpi.com/2306-5729/8/10/158/pdf?version=1698071939","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387908217.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W618764699","https://openalex.org/W1978775682","https://openalex.org/W2005013362","https://openalex.org/W2016966976","https://openalex.org/W2112352537","https://openalex.org/W3011716991","https://openalex.org/W3014574577","https://openalex.org/W3015323820","https://openalex.org/W3018778643","https://openalex.org/W3032982744","https://openalex.org/W3048834264","https://openalex.org/W3090627937","https://openalex.org/W4205386276","https://openalex.org/W4236066262","https://openalex.org/W4254853004","https://openalex.org/W6651880253","https://openalex.org/W6782320665"],"related_works":["https://openalex.org/W1504746966","https://openalex.org/W4360853490","https://openalex.org/W2102222526","https://openalex.org/W282935141","https://openalex.org/W3189436399","https://openalex.org/W2903473488","https://openalex.org/W2034426792","https://openalex.org/W2605598660","https://openalex.org/W590679934","https://openalex.org/W4387463580"],"abstract_inverted_index":{"The":[0,60,75],"impacts":[1],"of":[2,37,43,50,69],"the":[3,23,30,35,41,51,65,87,103],"coronavirus":[4],"disease":[5],"2019":[6],"(COVID-19)":[7],"pandemic":[8],"have":[9],"been":[10],"extremely":[11],"severe,":[12],"with":[13],"both":[14],"economic":[15],"and":[16,32,40,71,93],"health":[17],"crises":[18],"experienced":[19],"worldwide.":[20],"Based":[21],"on":[22],"panel":[24],"regression":[25],"model,":[26],"this":[27],"study":[28],"examined":[29],"trends":[31],"correlations":[33],"in":[34,46,55,57,86,100],"number":[36,42],"COVID-19-related":[38],"deaths":[39],"COVID-19-infected":[44,101],"cases":[45,92],"all":[47],"37":[48],"regions":[49],"Tamil":[52],"Nadu":[53],"state":[54],"India,":[56],"August":[58],"2020.":[59],"fixed":[61],"effects":[62],"model":[63],"had":[64],"greatest":[66],"R2":[67],"value":[68],"78%":[70],"exhibited":[72],"significant":[73],"results.":[74],"slope":[76],"coefficient":[77],"was":[78],"also":[79],"highly":[80],"significant,":[81],"showing":[82],"a":[83],"considerable":[84],"variation":[85],"relationship":[88],"between":[89],"new":[90],"COVID-19":[91],"deaths.":[94],"Additionally,":[95],"for":[96],"every":[97],"unit":[98],"increase":[99],"cases,":[102],"death":[104],"rate":[105],"increased":[106],"by":[107],"0.02%.":[108]},"counts_by_year":[],"updated_date":"2026-01-23T23:20:30.427331","created_date":"2025-10-10T00:00:00"}
