Covid-19
Covid-19 Data Management and Delivery
In February 2020, when Covid-19 was just starting to spread in Spain and Italy, we started collecting and sharing global data about the outbreak. As data publishers changed their formats and level of detail, we delivered a consistent source of data formatted for analytics, ML, and geographic analysis.
We created dashboards to show how to combine the data with demographic and economic data, weather, and even Twitter messages from airports around the world. We customized and enhanced the analytics for clients, adding tools to compare surge behavior across time and between geographic locations. And blending Covid-19 data with current health determinant data.
Global Surveillance Dashboard provides real-time view of data, and tools for tracking changes and comparing regions.
County-Level health determinants.are compared to the latest Covid-19 data in this regional Surveillance Dashboard .
Comparing Surge Patterns by identifying and aligning on surge start dates, and calculating new metrics specific to the surge.
Smart Discovery Identify Influencing Factors
Assisting With Covid-19 Planning and Research
COVID-19 Health Disparities Research
Eskanazi Health
Eskanazi conducts groundbreaking work with global impact
Working with patient-level clinical data from Epic, we worked with Eskanazi Health to incorporate external datasets to provide new insights into health disparities related to COVID-19. During the process, we helped define some best practices for data management, integration, and analysis..
SAP HANA and SAP Analytics Cloud.
Covid-19 Surge Modeling, Capacity Planning
Mercy Health
Mercy Health has 40+ Hospitals Across the US
Assisting Mercy Assisting with implementing SIR and Chime models to predict surge in COVID-19 infections, recovery and deaths. The trends are used to help in capacity planning in ICU and inpatient care.
SAP HANA and SAP Analytics Cloud.
Covid-19 Surge Modeling, Capacity Planning
Parkland Health
Parkland is the Busiest Emergency Department in North America
Assisting Parkland with implementing SIR and Chime models to predict surge in COVID-19 infections, recovery and deaths.
The trends are used to help in capacity planning in ICU and inpatient care.
SAP HANA and SAP Analytics Cloud.