http://socictopen.socict.org/files/original/4e576678d8aacb656fd8430e75f7d777.pdf e6503ba118a8715fd7f41fbf25b145e1 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 Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei Creator An entity primarily responsible for making the resource Bastian Prasse, Massimo A. Achterberg, Long Ma, Piet Van Mieghem Description An account of the resource Abstract At the moment of writing, the future evolution of the COVID-19 epidemic is unclear. Predictions of the further course of the epidemic are decisive to deploy targeted disease control measures. We consider a network-based model to describe the COVID-19 epidemic in the Hubei province. The network is composed of the cities in Hubei and their interactions (e.g., traffic flow). However, the precise interactions between cities is unknown and must be inferred from observing the epidemic. We propose the Network-Inference-Based Prediction Algorithm (NIPA) to forecast the future prevalence of the COVID-19 epidemic in every city. Our results indicate that NIPA is beneficial for an accurate forecast of the epidemic outbreak. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource epidemiology, coronavirus, covid-19, SIR model, network inference Identifier An unambiguous reference to the resource within a given context 10.1007/s41109-020-00274-2 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 Applied mathematics. Quantitative methods