Software Open Access
Stephen A Lauer; kgrantz; jlessler; Moritz Schauer
{ "description": "Estimating the incubation time of the novel coronavirus (nCoV-2019) based on traveler data using coarse data tools", "license": "", "creator": [ { "affiliation": "Johns Hopkins Bloomberg School of Public Health", "@type": "Person", "name": "Stephen A Lauer" }, { "@type": "Person", "name": "kgrantz" }, { "@type": "Person", "name": "jlessler" }, { "affiliation": "University of Gothenburg, Sweden", "@type": "Person", "name": "Moritz Schauer" } ], "url": "https://zenodo.org/record/3692048", "codeRepository": "https://github.com/HopkinsIDD/ncov_incubation/tree/1.1", "datePublished": "2020-02-28", "version": "1.1", "@context": "https://schema.org/", "identifier": "https://doi.org/10.5281/zenodo.3692048", "@id": "https://doi.org/10.5281/zenodo.3692048", "@type": "SoftwareSourceCode", "name": "HopkinsIDD/ncov_incubation: Submission code for The incubation period of COVID-19 from publicly reported confirmed cases: estimation and application." }
All versions | This version | |
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Views | 3,719 | 3,410 |
Downloads | 834 | 807 |
Data volume | 140.3 GB | 140.3 GB |
Unique views | 3,432 | 3,163 |
Unique downloads | 438 | 423 |