by Alex Pauncz | April 03, 2020

COVID-19 Relief for Customers

From doctors and nurses to grocers, governments and manufacturers — millions of people and organizations around the world are taking heroic action to fight COVID-19.

As we all practice social distancing and come together to contain the spread of the virus, we are also learning how technology and technologists can play a crucial part in this effort.

Contact Tracing, Predictive Modeling, Healthcare Supply Chain, and Other Applications

Already, dozens of applications are under development, both in the U.S. and abroad, to assist public health leaders in contact tracing — the vital task of tracking down every person who has come into contact with those who have tested positive for COVID-19.

Once a virus spreads sufficiently throughout a population, comprehensive manual contact tracing becomes nearly impossible. But using the power of data, teams from Stanford, MIT and across the world are developing applications to facilitate digital tracing and get back ahead of the virus’ spread — while preserving privacy.

In addition, data scientists are building predictive tracing models and apps based on symptom reporting and a variety of data points, while others are creating solutions to track vital stocks of masks, ventilators, personal protective equipment, and all key needs for healthcare providers.

We Are in This Together

Analysts and developers are leveraging new & emerging Coronavirus data sets, requiring data connectivity between COVID-19 databases, applications and analytics platforms.

To assist in this fight, we are making the entire library of CData’s connectivity products available for free to those developing COVID-19 applications or performing related data analysis.

If you are working on an application or conducting analysis to contain the spread of the Coronavirus, please contact us. Let us know how connectivity can help in your response efforts, and we will assist you in any way we can.

To all of you working on these critical projects, thank you.