We were asked to contribute to the fight against Covid-19, and we try in our way.
We are an IT company, we are able to do semantic analysis and we have developed STAG. STAG4Covid-19 is the natural result of these assumptions. Our solution wants to offer a web-based tool that every scientist can use to orientate himself in the overwhelming proliferation of health-related entities (e.g. findings, symptoms, diseases, diagnoses, and medications) that are mentioned in the medical research papers in a not normalized and not semantically interoperable form.
These entities often indicate the same concepts that STAG4Covid-19 can semantically analyze and represent in a controlled vocabulary.
Such a semantic map, we strongly believe, will increase the efficiency in the circulation of the information among the scientific community and it is our contribution to find a solution to this pandemic.
But that's not all: not only scientific language can find its standardized form, but also the common language, the one we use in our messages on social media to describe how we feel and what symptoms we have, the so-called User Generated Content (UGC).
Bringing this vast amount of information back to a standardized, measurable and comparable form will be very useful for those who will have the duty of the pharmacosurveillance and will have to promptly grasp the effects that the large-scale release of a partially tested vaccine or a new drug may have on the population.
To massively process the UGC, STAG4Covid-19 want to offer a set of API to programmatically exploit the same services of the web interface.
The clinicians, the hospitals, the practitioners, the scientific community in general and the public health monitoring institutions.