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Forecasting has been one of the most powerful statistical methods employed the world over in various disciplines for detecting and analyzing trends and predicting future outcomes based on which timely and mitigating actions can be undertaken. To that end, several statistical methods and machine learning techniques have been harnessed depending upon the analysis desired and the availability of data. Historically speaking, most predictions thus arrived at have been short term and country\u2010specific in nature. In this work, multimodel machine learning technique is called EAMA for forecasting Covid\u201019 related parameters in the long\u2010term both within India and on a global scale have been proposed. This proposed EAMA hybrid model is well\u2010suited to predictions based on past and present data. For this study, two datasets from the Ministry of Health & Family Welfare of India and Worldometers, respectively, have been exploited. Using these two datasets, long\u2010term data predictions for both India and the world have been outlined, and observed that predicted data being very similar to real\u2010time values. The experiment also conducted for statewise predictions of India and the countrywise predictions across the world and it has been included in the Appendix.<\/jats:p>","DOI":"10.1002\/spe.2969","type":"journal-article","created":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T15:38:06Z","timestamp":1617291486000},"page":"824-840","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["An approach to forecast impact of Covid\u201019 using supervised machine learning model"],"prefix":"10.1002","volume":"52","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-8114-3147","authenticated-orcid":false,"given":"Senthilkumar","family":"Mohan","sequence":"first","affiliation":[{"name":"School of Information Technology and Engineering Vellore Institute of Technology Vellore India"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3889-0112","authenticated-orcid":false,"given":"John","family":"A","sequence":"additional","affiliation":[{"name":"School of Computing Science and Engineering Galgotias University Noida India"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3181-5822","authenticated-orcid":false,"given":"Ahed","family":"Abugabah","sequence":"additional","affiliation":[{"name":"College of Technological Innovation Zayed University Abu Dhabi United Arab Emirates"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7293-9020","authenticated-orcid":false,"given":"Adimoolam","family":"M","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering Saveetha University Chennai 602105 India"}]},{"given":"Shubham","family":"Kumar Singh","sequence":"additional","affiliation":[{"name":"Luddy School of Informatics and Engineering Indiana University Bloomington Indiana USA"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-2601-9327","authenticated-orcid":false,"given":"Ali","family":"kashif Bashir","sequence":"additional","affiliation":[{"name":"Department of Computing and Mathematics Manchester Metropolitan University Manchester UK"},{"name":"School of Electrical Engineering and Computer Science National University of Science and Technology (NUST) Islamabad Pakistan"}]},{"given":"Louis","family":"Sanzogni","sequence":"additional","affiliation":[{"name":"Department of Business Strategy and Innovation Griffith University Brisbane Australia"}]}],"member":"311","published-online":{"date-parts":[[2021,4]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.11.031"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9050827"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1152\/physiolgenomics.00029.2020"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm9030674"},{"key":"e_1_2_8_6_1","doi-asserted-by":"crossref","unstructured":"ArdabiliSF MosaviA GhamisiP et al. 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