{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:36:23Z","timestamp":1760150183041,"version":"build-2065373602"},"reference-count":21,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T00:00:00Z","timestamp":1698019200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>The impacts of the coronavirus disease 2019 (COVID-19) pandemic have been extremely severe, with both economic and health crises experienced worldwide. Based on the panel regression model, this study examined the trends and correlations in the number of COVID-19-related deaths and the number of COVID-19-infected cases in all 37 regions of the Tamil Nadu state in India, in August 2020. The fixed effects model had the greatest R2 value of 78% and exhibited significant results. The slope coefficient was also highly significant, showing a considerable variation in the relationship between new COVID-19 cases and deaths. Additionally, for every unit increase in COVID-19-infected cases, the death rate increased by 0.02%.<\/jats:p>","DOI":"10.3390\/data8100158","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T06:28:25Z","timestamp":1698128905000},"page":"158","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Panel Regression Modelling for COVID-19 Infections and Deaths in Tamil Nadu, India"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3245-3181","authenticated-orcid":false,"given":"Rajarathinam","family":"Arunachalam","sequence":"first","affiliation":[{"name":"Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli 627012, India"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,23]]},"reference":[{"key":"ref_1","unstructured":"Voyages, A. The Importance of Statistical Modeling for the COVID-19 Pandemic. Young Sci. J., 2021."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1007\/s10916-020-01562-1","article-title":"AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train\/Test Models on Multitudinal\/Multimodal Data","volume":"44","author":"Santosh","year":"2020","journal-title":"J. Med. Syst."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1603","DOI":"10.1002\/jmv.25850","article-title":"Data Analysis of Coronavirus COVID-19 Epidemic in South Korea Based on Recovered and Death Cases","volume":"92","year":"2020","journal-title":"J. Med. Virol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"em209","DOI":"10.29333\/ejgm\/7869","article-title":"Research on COVID-19 Virus Spreading Statistics Based on the Examples of the Cases from Different Countries","volume":"17","author":"Gondauri","year":"2020","journal-title":"Electron. J. Gen. Med."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"em243","DOI":"10.29333\/ejgm\/8212","article-title":"The Study of the Effects of Mobility Trends on the Statistical Models of the COVID-19 Virus Spreading","volume":"17","author":"Gondauri","year":"2020","journal-title":"Electron. J. Gen. Med."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"114077","DOI":"10.1016\/j.eswa.2020.114077","article-title":"A Time Series-Based Statistical Approach for Out Break Spread Forecasting: Application of COVID-19 in Greece","volume":"166","author":"Katris","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"23","DOI":"10.24321\/2455.7048.202013","article-title":"Application of Mathematical Modeling in Public Health Decision Making about Control of COVID-19 Pandemic in India","volume":"5","author":"Kumar","year":"2020","journal-title":"Epidemiol. Int."},{"key":"ref_8","first-page":"580","article-title":"International Institute of Information Technology-Banglore. An Exploratory Data Analysis of COVID-19 in India","volume":"9","author":"Mittal","year":"2020","journal-title":"Int. J. Eng. Res. Technol."},{"key":"ref_9","first-page":"543","article-title":"Predictive Modelling of COVID-19 Confirmed Cases in Nigeria","volume":"5","author":"Ogundokun","year":"2020","journal-title":"Infect. Dis. Model."},{"key":"ref_10","first-page":"598","article-title":"Stochastic Modelling for Predicting COVID-19 Prevalence in East African Countries","volume":"5","author":"Takele","year":"2020","journal-title":"Infect. Dis. Model."},{"key":"ref_11","first-page":"767","article-title":"Autoregressive Distributed Lag Model of COVID-19 Cases and Deaths","volume":"10","author":"Rajarathinam","year":"2021","journal-title":"Appl. Math. Inf. Sci."},{"key":"ref_12","first-page":"205","article-title":"Vector Error Correction Modeling of COVID-19 Infected Cases and Deaths","volume":"11","author":"Rajarathinam","year":"2021","journal-title":"J. Stat. Appl. Probab."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Hsiao, C. (2003). Analysis of Panel Data, Cambridge University Press.","DOI":"10.1017\/CBO9780511754203"},{"key":"ref_14","unstructured":"Baltagi, B.H. (2012). Econometric Analysis of Panel Data, Standards Information Network. [4th ed.]."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Allison, P.D. (2009). Fixed Effects Regression Models, SAGE Publications.","DOI":"10.4135\/9781412993869"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Biorn, E. (2016). Econometrics of Panel Data: Methods and Applications, Oxford University Press.","DOI":"10.1093\/acprof:oso\/9780198753445.001.0001"},{"key":"ref_17","unstructured":"Gujarati, D.N., and Porter, D.C. (2017). Basic Econometrics, McGraw-Hill Education. [6th ed.]."},{"key":"ref_18","first-page":"148","article-title":"Testing for Stationarity in Heterogeneous Panel Data","volume":"3","author":"Hadri","year":"2000","journal-title":"Econ. J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0304-4076(01)00098-7","article-title":"Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties","volume":"108","author":"Levin","year":"2002","journal-title":"J. Econ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.2307\/1913827","article-title":"Specification Tests in Econometrics","volume":"46","author":"Hausman","year":"1978","journal-title":"Econometrica"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1090\/S0002-9947-1943-0012401-3","article-title":"Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations Is Large","volume":"54","author":"Wald","year":"1943","journal-title":"Trans. Am. Math. Soc."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/8\/10\/158\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:10:32Z","timestamp":1760130632000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/8\/10\/158"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,23]]},"references-count":21,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2023,10]]}},"alternative-id":["data8100158"],"URL":"https:\/\/doi.org\/10.3390\/data8100158","relation":{},"ISSN":["2306-5729"],"issn-type":[{"type":"electronic","value":"2306-5729"}],"subject":[],"published":{"date-parts":[[2023,10,23]]}}}