Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The mathematical and machine learning models to forecast the COVID-19 outbreaks in Bangladesh Subject The topic of the resource 97M10; COVID-19; Epidemiology; FBProphet; Forecasting; Machine Learning; SARS-CoV-2; SEIRD Description An account of the resource The COVID-19 virus mutates in many different variants after its outbreak. Although several vaccines have been developed by many countries and implemented worldwide, it is difficult to prevent the outbreaks due to the pops out of different variants from its regular mutations. This study is an attempt to develop models which could precisely forecast the COVID-19 outbreaks in Bangladesh. In this study, we have developed a SEIRD based machine learning model to forecast the next possible one year outbreaks scenario in this country. We have tested the accuracy of this model by fitting the results with the considered historical data from March 08, 2020 to October 14, 2021. Also, we have validated this model by predicting the future inside the existing dataset, which is almost similar to the real dataset. It is observed that the final future forecasting results are very realistic compared to the current outbreak situation. Additionally, we have shown that the classical SEIRD model cannot predict the COVID-19 future outbreaks even it does not fit with the real datasets of outbreaks. Moreover, another machine learning time series forecasting model, FBProphet, has been implemented to forecast the future outbreaks of Bangladesh. Finally, we have analyzed and compared the forecasting results and hence identify the limitations of the proposed models which can improve future research in this field. 2022 Taru Publications. Creator An entity primarily responsible for making the resource Babu M.A.; Ahmmed M.M.; Ferdousi A.; Mostafizur Rahman M.; Saiduzzaman M.; Bhatnagar V.; Raja L.; Poonia R.C. Source A related resource from which the described resource is derived Journal of Interdisciplinary Mathematics, Vol-25, No. 3, pp. 753-772. Publisher An entity responsible for making the resource available Taru Publications Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/09720502.2021.2015095" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720502.2021.2015095</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125392003&amp;doi=10.1080%2F09720502.2021.2015095&amp;partnerID=40&amp;md5=4a81e51d79df7051c69559b4c0ca4b7c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125392003&amp;doi=10.1080%2f09720502.2021.2015095&amp;partnerID=40&amp;md5=4a81e51d79df7051c69559b4c0ca4b7c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9720502 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Babu M.A., Department of Quantitative Sciences, International University of Business Agriculture and Technology, Dhaka, 1230, Bangladesh; Ahmmed M.M., Department of Mathematics, American International University - Bangladesh (AIUB), Dhaka, 1229, Bangladesh; Ferdousi A., Department of Computer Science, Eastern University, Ashulia, Savar, Dhaka, Bangladesh; Mostafizur Rahman M., Department of Mathematics, American International University - Bangladesh (AIUB), Dhaka, 1229, Bangladesh; Saiduzzaman M., Department of Quantitative Sciences, International University of Business Agriculture and Technology, Dhaka, 1230, Bangladesh; Bhatnagar V., Department of Computer Applications, Manipal University Jaipur, Rajasthan, India; Raja L., Department of Computer Applications, Manipal University Jaipur, Rajasthan, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India