{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T04:20:40Z","timestamp":1729743640805,"version":"3.28.0"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T00:00:00Z","timestamp":1729641600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T00:00:00Z","timestamp":1729641600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-024-03317-y","type":"journal-article","created":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T13:03:29Z","timestamp":1729688609000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Uncovering the Hidden Patterns of the COVID-19 Global Pandemic: An in-Depth Data Analytics Approach"],"prefix":"10.1007","volume":"5","author":[{"given":"M. Vergin Raja","family":"Sarobin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinen","family":"Rathore","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajat","family":"Mishra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vinay Vittal","family":"Moolya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yash","family":"Seth","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,23]]},"reference":[{"issue":"4","key":"3317_CR1","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1002\/jmv.25689","volume":"92","author":"W Wang","year":"2020","unstructured":"Wang W, Tang J, Wei F. Updated understanding of the outbreak of 2019 novel coronavirus (2019-nCoV) in Wuhan, China. J Med Virol. 2020;92(4):441\u20137.","journal-title":"J Med Virol"},{"issue":"4","key":"3317_CR2","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1057\/s11369-020-00184-2","volume":"55","author":"C Borio","year":"2020","unstructured":"Borio C. The Covid-19 economic crisis: dangerously unique. Bus Econ. 2020;55(4):181\u201390.","journal-title":"Bus Econ"},{"issue":"3","key":"3317_CR3","doi-asserted-by":"publisher","first-page":"1621","DOI":"10.1007\/s11071-020-05946-3","volume":"101","author":"C Xu","year":"2020","unstructured":"Xu C, Yu Y, Chen Y, Lu Z. Forecast analysis of the epidemic trend of COVID-19 in the USA by a generalised fractional-order SEIR model. Nonlinear Dyn. 2020;101(3):1621\u201334.","journal-title":"Nonlinear Dyn"},{"issue":"3","key":"3317_CR4","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1002\/wics.1198","volume":"4","author":"X Su","year":"2012","unstructured":"Su X, Yan X, Tsai CL. Linear regression. Wiley Interdisciplinary Reviews: Comput Stat. 2012;4(3):275\u201394.","journal-title":"Wiley Interdisciplinary Reviews: Comput Stat"},{"key":"3317_CR5","doi-asserted-by":"crossref","unstructured":"Mandayam AU, Rakshith AC, Siddesha S, Niranjan SK. (2020, November). Prediction of Covid-19 pandemic based on Regression. In 2020 fifth international conference on research in computational intelligence and communication networks (ICRCICN) (pp. 1\u20135). IEEE.","DOI":"10.1109\/ICRCICN50933.2020.9296175"},{"issue":"1","key":"3317_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-020-68862-x","volume":"10","author":"LL Liang","year":"2020","unstructured":"Liang LL, Tseng CH, Ho HJ, Wu CY. Covid-19 mortality is negatively associated with test number and government effectiveness. Sci Rep. 2020;10(1):1\u20137.","journal-title":"Sci Rep"},{"key":"3317_CR7","doi-asserted-by":"crossref","unstructured":"Aiken LS, West SG, Pitts SC. 2003. Multiple linear regression. Handbook of psychology, pp.481\u2013507.","DOI":"10.1002\/0471264385.wei0219"},{"key":"3317_CR8","doi-asserted-by":"crossref","unstructured":"K D.P., Patan R, Ramachandran M, G A.H. Partial derivative nonlinear global pandemic machine learning prediction of covid 19. Chaos Solitons Fractals. 2020;139:110056.","DOI":"10.1016\/j.chaos.2020.110056"},{"issue":"5","key":"3317_CR9","doi-asserted-by":"publisher","first-page":"1467","DOI":"10.1016\/j.dsx.2020.07.045","volume":"14","author":"S Rath","year":"2020","unstructured":"Rath S, Tripathy A, Tripathy AR. Prediction of new active cases of coronavirus disease (COVID-19) pandemic using multiple linear regression model. Diabetes Metabolic Syndrome: Clin Res Reviews. 2020;14(5):1467\u201374.","journal-title":"Diabetes Metabolic Syndrome: Clin Res Reviews"},{"key":"3317_CR10","doi-asserted-by":"crossref","unstructured":"Awad M, Khanna R. 2015. Support vector regression. In Efficient learning machines (pp. 67\u201380). Apress, Berkeley, CA.","DOI":"10.1007\/978-1-4302-5990-9_4"},{"key":"3317_CR11","unstructured":"Uchenna N, Oreoluwa A, Rotimi O, Oluwatobi B, James A. Forecasting infectious Disease Outbreak using support Vector Regression (SVR) Case Study: Measles (Rubeola). PhD, Babcock University, Federal Polytechnic Ilaro; 2020."},{"key":"3317_CR12","doi-asserted-by":"crossref","unstructured":"Parbat D, Chakraborty M. A python based support vector regression model for prediction of COVID19 cases in India. Volume 138. Chaos, Solitons & Fractals; 2020. p. 109942.","DOI":"10.1016\/j.chaos.2020.109942"},{"key":"3317_CR13","doi-asserted-by":"crossref","unstructured":"Zhang GP. Time series forecasting using a hybrid ARIMA and neural network model. Volume 50. Neurocomputing; 2003. pp. 159\u201375.","DOI":"10.1016\/S0925-2312(01)00702-0"},{"key":"3317_CR14","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1590\/S1679-45082013000100024","volume":"11","author":"RC Sato","year":"2013","unstructured":"Sato RC. Disease management with ARIMA model in time series. Einstein (Sao Paulo). 2013;11:128\u201331.","journal-title":"Einstein (Sao Paulo)"},{"issue":"1","key":"3317_CR15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-021-99269-x","volume":"12","author":"D Zhao","year":"2022","unstructured":"Zhao D, Zhang R, Zhang H, He S. Prediction of global omicron pandemic using ARIMA, MLR, and Prophet models. Sci Rep. 2022;12(1):1\u201313.","journal-title":"Sci Rep"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03317-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-024-03317-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03317-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T13:04:29Z","timestamp":1729688669000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-024-03317-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,23]]},"references-count":15,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["3317"],"URL":"https:\/\/doi.org\/10.1007\/s42979-024-03317-y","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,23]]},"assertion":[{"value":"23 December 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 October 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"981"}}