The project was inspired by articles in the media - often incomplete, often inaccurate. We asked ourselves whether, together with KCR, we are able to provide reliable knowledge about the progress of medicine? To begin with, we determined what data range is currently available on the web.
We have collected a lot of data. In March 2020, 113 drug research studies were already carried out worldwide. However, the range of data for each study varied. Access to many information is limited. For example, about the results of the study phases or the numbers of patients involved in the study. We had to choose the data that could be obtained in most cases.
Analyzing the problems that researchers decided to solve, we identified three main directions in the fight against the virus - creating a drug for the direct fight against the disease, creating a vaccine, and creating drugs that will help fight, e.g. make the patient's blood more oxygenated. We thought it was so important that we should talk about it on the page "The race against Covid-19".
The user is able to find out which drugs, depending on the chosen treatment strategy, are closest to the final.
The biggest challenge was the time when the project was to be launched. Within two weeks we had to create not only a beautiful and stable application interface but also enter all data and enable content managers an efficient and simple way of data management. Another task was to adapt the solution to the business realities of the industry, which operates in outdated versions of web browsers.
Thanks to the use of React, we have achieved high stability of the entire interface, which is not only highly dynamic, but contains interactive Lottie animations. React ensured responsiveness, stability and quick implementation of the entire solution.
The project contained a large amount of data that changes over time and requires constant updating. An important factor was the creation of a convenient interface for data management by content managers. We used Django, which allows you to create useful and efficient management interfaces with any data structure.
Python (Django), PostgreSQL, React, Lottie & HTML5/CSS3.