https://www.socictopen.socict.org/files/original/ee1fbeda95a9f74d63a9f4faed0b697b.pdf 8886cb8bf1adb460807d4463c46e4653 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 Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy Creator An entity primarily responsible for making the resource M. James C. Crabbe, XiaoGuang Yue, Xue-Feng Shao, Lili Mi, Siyan Hu, Rita Yi Man Li, Julien S Baker, Liting Liu, Kechen Dong Description An account of the resource This study first analyzes the national and global infection status of the Coronavirus Disease that emerged in 2019 (COVID-19). It then uses the trend comparison method to predict the inflection point and Key Point of the COVID-19 virus by comparison with the severe acute respiratory syndrome (SARS) graphs, followed by using the Autoregressive Integrated Moving Average model, Autoregressive Moving Average model, Seasonal Autoregressive Integrated Moving-Average with Exogenous Regressors, and Holt Winter’s Exponential Smoothing to predict infections, deaths, and GDP in China. Finally, it discusses and assesses the impact of these results. This study argues that even if the risks and impacts of the epidemic are significant, China’s economy will continue to maintain steady development. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource severe acute respiratory syndrome, covid-19, GDP, autoregressive moving average model, autoregressive integrated moving average model, China’s economy Identifier An unambiguous reference to the resource within a given context 10.3390/jrfm13040066 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 Finance, Risk in industry. Risk management