The case data visualized is collected from various sources, including WHO, U.S. CDC, ECDC, China CDC (CCDC), NHC, and DXY.
DXY is a Chinese website that aggregates NHC and local CCDC situation reports in near real-time, providing more current regional case estimates than the national level reporting organizations are capable of, and is thus used for all the mainland China cases reported in our dashboard (confirmed, suspected, recovered, deaths).
U.S. cases (confirmed, suspected, recovered, deaths) are taken from the U.S. CDC, and all other country (suspected and confirmed) case data is taken from the corresponding regional health departments.
The dashboard is intended to provide the public with an understanding of the outbreak situation as it unfolds, with transparent data sources.
Go to: Vizion.ai
In a Bash terminal run the following command:
git clone https://github.com/themarcusaurelius/coronaVirus.git
CD into the directory and run the command:
npm install
Create a file called ‘config.js’ in the root directory and add the following code substituting the ‘API_ENDPOINT’ with the Elasticsearh API Endpoint that was generated when you created your stack. Save.
const config = {
Elasticsearch: {
API_ENDPOINT: 'YOUR_ELASTICSEARCH_API_ENDPOINT_GOES_HERE'
}
}
module.exports = config
Open a terminal in the code editor and run the following command in the root directory:
npm run server
Go to: Kibana
Create the 1st index:
PUT corona-virus
Create the 1st index mappings:
PUT corona-virus/_mappings/_doc
{
"properties" : {
"Confirmed" : {
"type" : "long"
},
"Country_Region" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"Deaths" : {
"type" : "long"
},
"Last_Update" : {
"type" : "date"
},
"Latitude" : {
"type" : "float"
},
"Location" : {
"type" : "geo_point"
},
"Longitude" : {
"type" : "float"
},
"OBJECTID" : {
"type" : "long"
},
"Province_State" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"Recovered" : {
"type" : "long"
}
}
}
Create the 2nd index:
PUT corona-virus-totals
Create the 2nd index mappings:
PUT corona-virus-totals/_mappings/_doc
{
"properties": {
"Last_Update": {
"type": "date"
},
"Mainland_China" : {
"type" : "long"
},
"OBJECTID" : {
"type" : "long"
},
"Other_Locations" : {
"type" : "long"
},
"Report_Date" : {
"type" : "date",
"ignore_malformed" : true
},
"Report_Date_String" : {
"type" : "date",
"format" : "yyyy/MM/dd HH:mm:ss||yyyy/MM/dd||epoch_millis"
},
"Total_Confirmed" : {
"type" : "long"
},
"Total_Recovered" : {
"type" : "long"
}
}
}
Make Sure The Server Is Still Running
There are two different data sources included in this application. The first one is overall daily totals of confirmed cases. This one is updated daily once. To seed all Totals data up to the current day, open a broswer and go to the following link:
localhost:5002/api/data/virus-totals
Hit enter and the data will be sent up to Elasticsearch:
In your terminal you will see the following messages if everything was indexed into Elasticsearch successfully:
Now, It is time to run the recurring data ingestion. In the broswer, as before, enter the following”
http://localhost:5002/api/data/virus
This will run a revolving check every two minutes for new data and will ingest it into Elasticsearch automatically as long as the server is running. You can watch in the terminal in real-time every two minutes for the data check.
Note: This one will take a few minutes to begin populating data into Elasticsearch.
Back in Kibana, go to the Dashboards tab and click on the Corona-Virus dashboard to open it. You may need to change the Time Range To a longer period to include all the data that has been collected to get an accurate overall view of the ongoing outbreak situation, as well as the Refresh Interval to 5 seconds to always have an up-to-date-dashboard.
Nearly everything is clickable and the dashboard will dynamically adjust based on what you jave clicked on so play around with the data and see what you can discover!