Analysis of the data visualization of the global preparedness and response to epidemiological threats: COVID-19 as a case study

Abstract

The data visualization of this project aims to provide an effective way to establish relationships and conclusions between the economic reality, the actions taken, the speed with which these were taken after the detection of the first case and the subsequent balance between total cases and mortality caused by the virus SARS-CoV-2. Additionally, it proposes a proposal for evaluating the preparation and response to epidemiological threats through the 7-1-7 scheme. This through the development of data visualization of the global response and preparation for an epidemiological threat using COVID-19 as a case study.

The use of the data visualization project development methodology elaborated by F. Hernández-Castro, describes the research process in phases of topic selection, research, collection, analysis and data relationships, domain identification, development of objective questions, cleaning and projection of data, analysis and selection of paradigms, implementation and validation exemplified using ISO 25062-2006 and ISO 9241-11.

The main findings found during the validation stage detail that the visualization is efficient in the structure of the elements to facilitate the navigation of the data when selecting and experimenting with them. On the other hand, the visualization is effective to an acceptable degree, due to the presence of errors tending to little assistance in its use. And finally, the visualization is satisfactory with a final score on the system usability scale above the excellent value, with 89 out of 100 available points.

According to the results, visualization presents a good environment for generating the conclusions. Finally, it is important to highlight that visualization is intended to encourage analysis and the generation of conclusions to create panoramas, learn from them, improve preparedness and the global response to epidemiological threats.