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 A novel discrete slash family of distributions with application to epidemiology informatics data Subject The topic of the resource Discrete distributions; Exponential distribution; Geometric distribution; Heavy tails; Maximum likelihood estimation; Slash distributions Description An account of the resource This study puts forward a new class of discrete distribution that can be used by the epidemiologists and medical scientists to model data relating to epidemiology informatics. The proposed distribution is superior to traditional discrete modeling alternatives, viz., discrete Weibull and geometric distributions in terms of its model fit and flexibility to handle heavy-tailed dataset. It is a flexible three-parameter discrete distribution, grounded in the slash family and can be considered as a refined extension to the geometric distribution. We explored the diverse properties of this novel distribution thoroughly by evaluating the mathematical properties. The models parameters are estimated using the maximum likelihood estimation method, where the methodology validity is confirmed through an extensive simulation study. Furthermore, the practical utility of the distribution to model epidemiology informatics was examined with the help of eight different datasets representing three different dimensions of the epidemiology informatics, viz., mortality, infection and medication statistics. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Joseph J.; Gillariose J. Source A related resource from which the described resource is derived International Journal of Data Science and Analytics Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41060-024-00590-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41060-024-00590-1</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197372284&amp;doi=10.1007%2Fs41060-024-00590-1&amp;partnerID=40&amp;md5=38a2f5cb0e22a3cc97a82cca557907b9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197372284&amp;doi=10.1007%2fs41060-024-00590-1&amp;partnerID=40&amp;md5=38a2f5cb0e22a3cc97a82cca557907b9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2364415X 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 Joseph J., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O, Peermade, Kerala, Idukki, 685531, India; Gillariose J., Department of Statistics and Data Science, CHRIST (Deemed to be University), Dharmaram College Post, Hosur Road, Karnataka, Bangalore, 560029, India