How The Coronavirus (COVID-19) Might be Stopped by Data Science
Case in Point
Deanna Sanchez, a phenomenal data scientist who is focused on geospatial relationships, also has domain knowledge, with a concentration in Medical Geography. Applying this to the coronavirus, she’s already seeing patterns in the data.
“By using Alteryx we were able to create the maps below, showing the spread of the coronavirus in the U.S. over the period of a few weeks. Each dot represents confirmed cases of the disease with color variations illustrating one or more instances of the disease.
Note: Maps show data of confirmed cases as of 02/11/20 10:50.
“The spread and reach of the disease are both visually palpable while providing instant insights, such as the disease’s limited impact, its containment to major cities, and its non-contiguous spread. The 'where' of the coronavirus, its propagation patterns and the types of people it affects can also be effectively analyzed using GIS.”
— Deanna Sanchez, Alteryx ACE, Practice Manager – Intelligence & Analytics, PK – the Experience Engineering Firm (How Spatial Analytics Can Help Fight the Coronavirus)
- Analytics and Big Data are critical to understanding and combating the spread of deadly diseases.
- Domain knowledge and access to data — along with an understanding of how to analyze the data — are key drivers of positive outcomes.
- Data science and Alteryx can help you change the world.
Here's another great article highlighting how companies are helping the government respond to COVID-19.
In the recorded Webinar, The Bleeding Edge: Healthcare Data Analytics + AI Innovation, hear how current and forward-looking trends in healthcare analytics and artificial intelligence (AI) are impacting the undulating landscape of healthcare innovation.
Check out the Infographic, Analytics to The Healthcare Rescue: Create a Data-driven Organization for a look at how you can improve the speed of decision making at your organization.