Big Data COVID 19- COVID-19 has arrived with consequences that are grave and unsettling. We are seeing daily reports showing outbreak and fatality curves on a worldwide and country/city basis. Big Data lies at the heart of efforts to comprehend and forecast the impact that Coronavirus will have on all of us.
To better understand how Big Data is being employed to forecast and understand the reach and impact of Coronavirus, I spoke with Sy Pretorius, MD, who serves as Executive Vice President and Chief Medical & Scientific Officer for Parexel, a global provider of biopharmaceutical services that help transform scientific discoveries into new treatments. Parexel is one of the largest clinical research organizations in the world.
I spoke with Dr. Pretorius about how Big Data can help our understanding of COVID-19:
How are Big Data sets of massive amounts of epidemiological and scientific data enabling health workers, scientists, epidemiologists, and policy makers make more informed decisions in fighting coronavirus?
The near real-time COVID-19 trackers that continuously pull data from sources around the world are helping healthcare workers, scientists, epidemiologists and policymakers aggregate and synthesize incident data on a global basis.
There has been some interesting data resulting from GPS analyses of population movement by region, city, etc., which ultimately helps provide a view of the population’s compliance — or lack of compliance — with social-distancing mandates.
Additionally, at least one digital thermometer technology has been tracking temperatures recorded by their devices, showing that average temperatures have declined in some locations following the enactment of social distancing guidance.
How have advances in Big Data management and data preparation made it possible to source, aggregate, and synthesize incident data on a global basis?
There are many opportunities to make the use of Big Data more impactful in situations like these as a society and as an industry, though we have not yet been able to effectively leverage the power of Big Data in search of a cure.