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Monday, March 16, 2020

Novel Coronavirus Covid-19 Data Analytics links

This post aims to gather a few sites with good sources of data or methodology to perform Data Analytics on the Novel Coronavirus Covid-19


https://www.datanami.com/2020/03/12/tracking-the-spread-of-coronavirus-with-graph-databases/
Describes using Graph Databases to track infections.

https://www.health.nsw.gov.au/Infectious/diseases/Pages/coronavirus-flights.aspx
Official government site to track flights into NSW

https://ncov2019.live/data
Very good collection of data.

https://www.worldometers.info/coronavirus/
Another site with data.


https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset
Kaggle dataset


https://pages.semanticscholar.org/coronavirus-research
Links to many free research papers on Covid-19

https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

John Hopkins dataset with GCP
https://cloud.google.com/blog/products/data-analytics/free-public-datasets-for-covid19?_lrsc=efc3f9b6-6095-4fe3-bd6f-c169a6131b21&utm_source=elevate&utm_medium=social&utm_campaign=elevate_TwG&utm_term=elevate_TwG_SEID:304699_BID:928653_TID:2749_SHID:18779651

https://www.cdc.gov/coronavirus/2019-ncov/about/index.html
CDC

https://www.datanami.com/2020/04/21/coming-to-grips-with-covid-19s-data-quality-challenges/
Posted by xtechnotes at 5:07 PM No comments:
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Labels: Novel Coronavirus Covid-19 Data Analytics links
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