https://www.socictopen.socict.org/files/original/0765cd4a7a4658e890fbd9a5eff9d22e.pdf 2e2bd5ce9839ff56db0d69d87dd9eef2 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 SARS-CoV-2 epidemic in India: epidemiological features and in silico analysis of the effect of interventions [version 1; peer review: 2 approved] Creator An entity primarily responsible for making the resource Archisman Mazumder, Mehak Arora, Vishwesh Bharadiya, Parul Berry, Mudit Agarwal, Priyamadhaba Behera, Hemant Deepak Shewade, Ayush Lohiya, Mohak Gupta, Aditi Rao, Giridara Gopal Parameswaran Description An account of the resource Background: After SARS-CoV-2 set foot in India, the Government took a number of steps to limit the spread of the virus in the country. This included restricted testing, isolation, contact tracing and quarantine, and enforcement of a nation-wide lockdown starting 25 March 2020. The objectives of this study were to i) describe the age,gender distribution and mortality among COVID-19 patients identified till 14 April 2020 and predict the range of contact rate; and ii) predict the number of active COVID-19 patients after 40 days of lockdown. Methods: We used a cross-sectional descriptive design for first objective and a susceptible-infected-removed model for in silico predictions. We collected data from government-controlled and crowdsourced websites. Results: Studying age and gender parameters of 1161 Indian COVID-19 patients, the median age was 38 years (IQR, 27-52) with 20-39 year-old males being the most affected group. The number of affected patients were 854 (73.6%) men and 307 (26.4%) women. If the current contact rate continues (0.25-27), India may have 110460 to 220575 infected persons at the end of 40 days lockdown. Conclusion: The disease is majorly affecting a younger age group in India. Interventions have been helpful in preventing the worst-case scenario in India, but will be unable to prevent the spike in number of cases. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.12688/f1000research.23496.1 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Medicine