Wolfram Data Repository: Epidemic Data for Novel Coronavirus

Daily updated epidemic data for novel coronavirus, including estimated cases of novel coronavirus (COVID-19) infection by country or region.
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ResourceSearch["COVID-19"]
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Name
ResourceType
ResourceObject
Description
RepositoryLocation
DocumentationLink
Epidemic Data for Novel Coronavirus COVID-19
DataResource
ResourceObject["Epidemic Data for Novel Coronavirus COVID-19"]
Tracking the Novel Coronavirus (COVID-19) Global Cases
https://www.wolframcloud.com/objects/resourcesyste...
https://datarepository.wolframcloud.com/resources/...
Patient Medical Data for Novel Coronavirus COVID-19
DataResource
ResourceObject["Patient Medical Data for Novel Coronavirus COVID-19"]
Medical records of patients infected with novel coronavirus COVID-19
https://www.wolframcloud.com/objects/resourcesyste...
https://datarepository.wolframcloud.com/resources/...
Genetic Sequences for the SARS-CoV-2 Coronavirus
DataResource
ResourceObject["Genetic Sequences for the SARS-CoV-2 Coronavirus"]
Released nucleotide sequences of the SARS-CoV-2 virus (the virus associated with ⋱
https://www.wolframcloud.com/objects/resourcesyste...
https://datarepository.wolframcloud.com/resources/...

Data Source:

Provided by Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE):

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Johns Hopkins: Mapping 2019-nCoV
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Visual Dashboard
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GitHub

Curated data is based on:

◼
  • World Health Organization (WHO)
  • ◼
  • Centers for Disease Control and Prevention (CDC)
  • ◼
  • European Centre for Disease Prevention and Control (ECDC)
  • ◼
  • China CDC (CCDC)
  • ◼
  • National Health Commission of the People's Republic of China (NHC)
  • ◼
  • China Medical Network DīngXiāngYuán (DXY)
  • Preparation

    ◼
  • The dataset is prepared by importing/processing the CSV files and aligning to Wolfram Language (WL) entries
  • ◼
  • Countries/Regions are aligned to WL Entities
  • ◼
  • Interpreter function was used to find alignment to Country/AdministrativeDivision entity type
  • Interpreter["Country"][""]
    ◼
  • Coordinates are converted to GeoPosition
  • GeoPosition[{35.4437`,139.638`}]
    In[]:=
    GeoGraphics{GeoMarker@GeoPosition[{35.4437`,139.638`}]},GeoRange->
    100
    mi
    
    ◼
  • Dates are converted to WL DateObject and then used to create the TimeSeries data
  • Day: Wed 5 Feb 2020
    In[]:=
    TimeSeries
    Time: 21 Jan 2020 to 10 Feb 2020
    Data points: 37
    //Normal
    In[]:=
    DateListPlotTimeSeries
    Time: 21 Jan 2020 to 10 Feb 2020
    Data points: 37
    

    Dataset

    Retrieve the content:
    In[]:=
    epidemicData=ResourceData["Epidemic Data for Novel Coronavirus COVID-19"]
    Available properties:
    In[]:=
    epidemicData[1,Keys]
    Map where virus infections are confirmed:
    In[]:=
    GeoGraphics[{GeoMarker[DeleteMissing@Normal@epidemicData[All,#GeoPosition&],Scale5]}]
    Color countries by the latest confirmed cases:
    In[]:=
    GeoRegionValuePlot[Normal@epidemicData[GroupBy["Country"],Total,#ConfirmedCases["LastValue"]&]]
    Create a bubble chart of the confirmed cases for the regions in China:
    In[]:=
    ManipulateGeoBubbleChartNormal@dataSelectMatchQ
    China
    COUNTRY
    ,#Country&[All,{#AdministrativeDivision,#ConfirmedCases[date]}&],BubbleSizes{.01+#[[1]]/500,#[[2]]/50000}&@Normal@dataSelectMatchQ
    China
    COUNTRY
    ,#Country&[MinMax,#ConfirmedCases[date]&],{{date,dates[[1]],Dynamic[date]},dates},ControlTypeSlider,SynchronousInitializationFalse,SynchronousUpdatingFalse,TrackedSymbols{date},Initialization{data=ResourceData["Epidemic Data for Novel Coronavirus COVID-19"];dates=Sort@Drop[Union@Flatten@Normal@data[All,#ConfirmedCases["DateList"]&],1]}
    Plot estimated confirmed cases in the regions of China over the past few days:
    In[]:=
    cases=epidemicDataSelectMemberQ
    Hubei, China
    ADMINISTRATIVE DIVISION
    ,
    Zhejiang, China
    ADMINISTRATIVE DIVISION
    ,
    Guangdong, China
    ADMINISTRATIVE DIVISION
    ,#AdministrativeDivision&[All,{"AdministrativeDivision","ConfirmedCases"}]
    In[]:=
    DateListPlot[Legended[#[[2]],#[[1]]]&/@cases,PlotTheme"Business",PlotLabel"estimated confirmed cases",ImageSize300,PlotRangeFull]
    In[]:=
    DateListLogPlot[Legended[#[[2]],#[[1]]]&/@cases,PlotTheme"Business",PlotLabel"estimated confirmed cases (log scale)",ImageSize300,PlotRangeFull]
    Plot estimated recovered cases and deaths in Hubei region over the past few days:
    In[]:=
    recovCases=epidemicDataSelectMatchQ
    Hubei, China
    ADMINISTRATIVE DIVISION
    ,#AdministrativeDivision&[All,{"RecoveredCases","Deaths"}]
    In[]:=
    DateListLogPlot[MapThread[Legended,{Values[#],Keys[#]}&@First@Normal@Normal@recovCases],PlotTheme"Business",PlotLabel"estimated recovered cases and deaths (log scale)",ImageSize300,PlotRangeFull]

    More Data on Novel Coronavirus

    ◼
  • Genetic Sequences for the SARS-CoV-2 Coronavirus
  • ◼
  • Patient Medical Data for Novel Coronavirus COVID-19