https://socictopen.socict.org/files/original/247ccb37bc2e4095b6ff0e55191adc42.pdf e51b04344433deb571259a313756457e 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 Optimal control on a mathematical model to pattern the progression of coronavirus disease 2019 (COVID-19) in Indonesia Creator An entity primarily responsible for making the resource Virasakdi Chongsuvivatwong, Novi Reandy Sasmita, Muhammad Ikhwan, Suyanto Suyanto Description An account of the resource Abstract Background Understanding the pattern of COVID-19 infection progression is critical for health policymakers. Reaching the exponential peak of cases, flattening the curve, and treating all of the active cases are the keys to success in reducing outbreak transmission. The objective of this study was to determine the most effective model for predicting the peak of COVID-19 in Indonesia, using a deterministic model. Methods The SEI2RS model considers five strategies for control, namely: large-scale social restriction (u 1 ), contact tracing (u 2 ), mass testing (u 3 ), case detection and treatment (u 4 ), and the wearing of face masks (u 5 ). Three scenarios were developed, each differentiated by the controls. The model used April 10, 2020, and December 31, 2020, as the initial and final times. Results The simulation results indicated that the peak of COVID-19 cases for scenarios 1, 2, and 3 occur on the 59th day with 33,151 cases, on the 38th day with 37,908 cases, and on the 40th day with 39,305 cases. For all of the scenarios, the decline phase shows a slow downward slope and about 8000 cases of COVID-19 still active by the end of 2020. Conclusion The study concludes that scenario 2, which consists of large-scale social restriction (u 1), contact tracing (u 2), case detection and treatment (u 4), and the wearing of face masks (u 5), is the most rational scenario to control COVID-19 spreading in Indonesia. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, mathematical model, Optimal control, Indonesia Identifier An unambiguous reference to the resource within a given context 10.1186/s41256-020-00163-2 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 Public aspects of medicine