Automatic creation of a worldwide COVID-19 databases repository complemented by their structural and content analysis

Abstract

In this document titled “Automatic creation of a worldwide COVID-19 databases repository complemented by their structural and content analysis” a prototype is developed to support the accuracy analysis of the current COVID-19 databases. This prototype provides a visualization which shows the behaviour of the selected databases evolution using a user-friendly environment. COVID pandemic has a worldwide impact. This sanitary crisis is an unprecedented situation which forced the respective governments to put in place strong and fluctuating measurements to control the pandemic spreading. For the responsible institutions is key to have the right data source to place the correct preventing measures. Currently, there is a large amount of COVID databases which are not always aligned in terms of data reported. The proposed solution is a daily automatization that connects to some of the most used databases, downloads and process the data obtained uploading the results and database information in a common repository. The data repository stores all information obtained from the behaviour analysis implemented on each database together with content provided per database. To provide visibility to the analysis performed and show the project possibilities, an end user visualization was put in place which represents the analysis evolution performed per database and their reported numbers. The results obtained can support to analyse and explain discrepancies between databases reported information, control structural modifications as well as databases decommissioning. The prototype provides room for new use cases evolution by applying predictive analysis, etc…. Finally, it should be noted the support that the ICTs involvement can provide to acquire the SDGs achievements, more specifically with this project the SDG 3.