https://www.socictopen.socict.org/files/original/13ae7f8f9be6f4d9e2e179179da0e447.pdf 2edcf694c12d3ee64eb6c5ea9fd3ff00 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 Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 Modeling the COVID-19 Pandemic Dynamics in Egypt and Saudi Arabia Creator An entity primarily responsible for making the resource Mahmoud M. Mansour, Mohammed A. Farsi, Salah M. Mohamed, Enayat M. Abd Elrazik Description An account of the resource During the abrupt outbreak of the COVID-19 pandemic, the public health system of most of the world’s nations has been tested. However, it is the concern of governments and other responsible entities to provide the correct statistics and figures to take any practicable necessary steps such as allocation of the requisite quarantine operations, calculation of the needed number of places in hospitals, determination of the extent of personal security, and determining the degree of isolation of infectious people, among others. Where the statistical literature supposes that a model governs every real phenomenon, once we know the model, we can evaluate the dilemma. Therefore, in this article, we compare the COVID-19 pandemic dynamics of two neighboring Arabic countries, Egypt and Saudi Arabia, to provide a framework to arrange appropriate quarantine activities. A new generalized family of distributions is developed to provide the best description of COVID-19 daily cases and data on daily deaths in Egypt and Saudi Arabia. Some of the mathematical properties of the proposed family are studied. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Saudi Arabia, Mathematical modeling, Egypt, statistical methods, coronavirus covid-19 pandemic, Nadarajah-Haghighi distribution Identifier An unambiguous reference to the resource within a given context 10.3390/math9080827 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mathematics