nCov2019: An R package with real-time data, historical data and Shiny app
This R package download statistical number of the Wuhan 2019-nCov cases to provide convenient access to epidemiological data on the coronavirus outbreak. The R package contains tools to query the database, get the data, and visualize the data in a map or in a shiny app. The database contains detailed real-time statistics from Tencent (https://news.qq.com/zt2020/page/feiyan.htm), but also it offers access to other data sources with detailed daily statistics at country, province and city level for China from: Wuhan-2019-nCoV GitHub repository (https://github.com/canghailan/Wuhan-2019-nCoV), National Health Commission of the People’s Republic of China, DXY.cn (https://ncov.dxy.cn/ncovh5/view/pneumonia). The package extracts also worlwide data, at country level data from the Wuhan-2019-nCoV GitHub repository . It collects historical province level data for South Korea, United States, Japan, Iran, Italy, Germany and United Kingdom from 今日头条 (https://i.snssdk.com/ugc/hotboard_fe/hot_list/template/hot_list/forum_tab.html; since 2020-03-15).
Schema.org vocabulary for structured data on the web
A structured data markup specification for describing datasets in the life sciences, extending schema.org Dataset
Dublin Core Metadata Initiative Terms - refined elements for precise resource description
W3C Data Catalog Vocabulary for describing data catalogs
DataCite metadata schema for research data citation
W3C Provenance Ontology for describing provenance information
Provenance, Authoring and Versioning ontology for metadata about web resources
Custom MIDAS vocabulary for epidemiological data and modeling
OBO Foundry ontologies for life sciences and biomedical research
Health Level 7 Fast Healthcare Interoperability Resources
Systematized Nomenclature of Medicine Clinical Terms
Logical Observation Identifiers Names and Codes
LOINC database for laboratory and clinical observations
JSON Schema (Draft 2020-12) defining the structure of MIDAS Catalog JSON-LD metadata records
A disease whose physical basis is an infectious disorder
A disease is a disposition (i) to undergo pathological processes that (ii) exists in an organism because of one or more disorders in that organism.
A collection of information in various types of structured or non-structured formats.
A Coronavirus infection that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.
A count of simulated or physical individuals in a population.
Vaccine preventable diseases are those infectious diseases that can be prevented by vaccination
An organism of a particular biological taxon that is the bearer of an infectious dispositions towards an organism of a different particular biological taxon.
A data set that is about either some mortality rate or the death events themselves of some individuals of a given population of a particular biological taxon.
An organism of a particular biological taxon that is the site of reproduction of an organism of a different taxon.
A respiratory tract infection caused by a virus. Viruses represent the most common causes of upper and lower respiratory tract infections and include rhinoviruses, influenza viruses, parainfluenza viruses, and respiratory syncytial virus.
Minute infectious agents whose genomes are composed of DNA or RNA, but not both. They are characterized by a lack of independent metabolism and the inability to replicate outside living host cells.
Severe acute respiratory syndrome coronavirus 2
A species of BETACORONAVIRUS causing atypical respiratory disease (COVID-19) in humans. The organism was first identified in 2019 in Wuhan, China. The natural host is the Chinese intermediate horseshoe bat, RHINOLOPHUS affinis.
Landing page where users can browse and download dataset files in various formats.
National Institute of General Medical Sciences
Open-source analytics tools for studying the COVID-19 coronavirus outbreak
nCov2019: an R package for studying the COVID-19 coronavirus pandemic.
Publication associated with the repository
nCov2019: An R package for exploring COVID-19 statistics
Tianzhi Wu, Erqiang Hu, Xijin Ge, Guangchuang Yu. nCov2019: An R package with real-time data, historical data and Shiny app. 2021. Available from: https://github.com/GuangchuangYu/nCov2019
The 'about' property contains mixed types: DefinedTerm objects represent subject matter/topics, while Place objects represent geographical scope or applicability